A damaged mangrove wetland growth state identification method

Abstract

The application relates to the technical field of mangrove wetland growth state recognition, in particular to a damaged mangrove wetland growth state recognition method. The method comprises the following steps: acquiring a mangrove wetland information set, analyzing the correlation relationship among root silt, leaf litter sediments and benthic animals of the mangrove in a damaged state on the basis of the mangrove wetland information set, and obtaining a damaged pathological correlation information set; according to the damaged pathological correlation information set, analyzing the differential degradation paths caused by root system damage, leaf litter sediment accumulation and benthic animal spatial contraction, and obtaining a differential damage information set; performing hierarchical growth state grade determination according to the differential damage information set, and outputting and executing a damaged mangrove wetland growth state recognition strategy. The internal driving factors of mangrove wetland degradation are disclosed, and through the hierarchical state grade determination mechanism, the accuracy and operability of the growth state recognition result are ensured.

Description

Technical Field

[0001] This application relates to the field of mangrove wetland growth status identification technology, and in particular to a method for identifying the growth status of damaged mangrove wetlands. Background Technology

[0002] Mangrove wetlands, as important coastal ecosystems, play a crucial role in wind and wave protection, carbon sequestration and storage, water purification, and maintaining biodiversity. Currently, the assessment and restoration of damaged mangrove wetlands typically rely on methods such as remote sensing image interpretation, on-site sample plot surveys, and physicochemical indicator monitoring to classify or score the wetland's health status, thereby determining the areas and general directions for restoration. These methods can, to a certain extent, reflect the surface condition of the wetlands, providing basic data support for ecological restoration projects.

[0003] However, current technologies lack in-depth analysis of the complex pathological cascade mechanisms within damaged mangrove wetlands, making it difficult to identify the most urgent abnormal growth states requiring priority intervention. Existing assessments often treat each ecological element as an independent entity, neglecting the dynamic evolutionary interactions between root sediment, leaf litter, and benthic animals. This results in an inability to distinguish the differentiated destructive characteristics under different degradation pathways, making it difficult to identify growth states and formulate restoration strategies with targeted mechanistic support, and hindering the scientific determination of the priority order for state restoration. Summary of the Invention

[0004] This application provides a method for identifying the growth status of damaged mangrove wetlands to solve the above-mentioned problems. The method includes: acquiring a mangrove wetland information set; based on the mangrove wetland information set, analyzing the correlation between root silt, fallen leaf sediment, and benthic animals in the damaged state of mangroves to obtain a damaged pathological correlation information set; based on the damaged pathological correlation information set, analyzing the differentiated degradation paths caused by root damage, accumulation of fallen leaf sediment, and shrinkage of benthic animal space to obtain a differentiated damage information set; and based on the differentiated damage information set, performing hierarchical growth status level determination, outputting and executing a damaged mangrove wetland growth status identification strategy.

[0005] Through the above technical solutions, a complete causal chain was constructed, from pathological correlation analysis to differentiated path deduction and then to the determination of growth status level. First, by exploring the deep coupling relationship between root silt, fallen leaf sediments, and benthic animals, the dual causes of sediment hardening and compaction were revealed, solving the problem that existing technical indicators are isolated and cannot reflect the internal driving factors. Pathological correlation information was used to distinguish spatial heterogeneous degradation paths caused by different main factors, especially quantifying the filling and blocking effect of the fallen leaf gelatin layer under tidal dynamics, so that the assessment results can dynamically reflect the damage characteristics of different areas. The quantified degradation characteristics were directly mapped to growth status identification dimensions such as root support, sediment permeability, and benthic habitat activity. Through data-driven sorting logic, the most critical anomaly identification targets were automatically locked. This progressive processing mechanism not only overcomes the static and subjective defects of existing methods, but also provides personalized restoration strategies for different types of compaction, such as compaction caused by fallen leaf gelatinization and compaction caused by animal migration, thereby ensuring the scientific nature and effectiveness of ecological restoration work.

[0006] Optionally, the step of analyzing the correlation between root silt, fallen leaf sediment, and benthic animals in a damaged mangrove wetland based on the mangrove wetland information set to obtain a damaged pathological correlation information set includes: the mangrove wetland information set includes root silt thickness, fallen leaf cover information, and benthic animal distribution information; based on the root silt thickness and the fallen leaf cover information, analyzing the blocking effect of the cover layer formed by the mixture of silt and fallen leaves on root aeration to obtain root hypoxia information; based on the benthic animal distribution information and the root hypoxia information, analyzing the distribution change pattern of benthic animals migrating to the silt surface and laterally to obtain benthic animal migration information; and based on the root hypoxia information and the benthic animal migration information, analyzing the trend of decreased sediment permeability caused by root decay and reduced animal activity to obtain the damaged pathological correlation information set.

[0007] Through the above technical solutions, a closed-loop pathological analysis model was constructed, encompassing physical blockage, biological avoidance, and structural deterioration. By combining root sediment thickness with leaf cover information, the formation mechanism of root hypoxia was quantified. Furthermore, the analysis of benthic animal migration behavior driven by root hypoxia information was used to realize the dynamic correlation between environmental factors and biological responses. Finally, by coupling the two key variables of root decay and reduced animal activity, the dual causes of sediment permeability degradation were elucidated. This progressive analytical logic not only overcomes the shortcomings of isolated indicators and lack of correlation analysis in existing technologies, but also, by introducing intermediate variables such as blockage effects and migration patterns, makes the degradation mechanism of damaged mangrove wetlands measurable and quantifiable, providing a solid pathological basis for subsequent identification of differentiated degradation pathways and the formulation of ecological restoration strategies.

[0008] Optionally, the process of constructing the root hypoxia information includes: analyzing the thickness and compaction degree of the coating layer formed by the silt on the root surface based on the root accumulation thickness to obtain root physical blockage information; and analyzing the accumulation state of fallen leaves above the silt layer and the gelation phenomenon during the decomposition process based on the leaf cover information and the root physical blockage information to obtain the root hypoxia information.

[0009] By analyzing the synergistic effect of root physical blockage information and leaf litter gelatinization, a root hypoxia information system was constructed. The root physical blockage information establishes the basic physical barrier for oxygen diffusion, while the gelatinization phenomenon introduced by leaf litter further blocks the remaining micropores. Together, they constitute a dual blockage mechanism. This mechanism not only considers the macroscopic physical properties of sediments but also incorporates the microscopic modification of soil structure by biochemical processes, thus effectively solving the problem that existing technologies cannot accurately assess root hypoxia status based on a single indicator.

[0010] Optionally, the process of constructing the benthic animal migration information includes: based on the root hypoxia information, analyzing the changes in the permeability barrier intensity of the damaged mangrove root layer from the deep layer to the surface layer to obtain root layer permeability change information; based on the benthic animal distribution information and combined with the root layer permeability change information, analyzing the diffusion behavior of benthic animals moving to the oxygen-rich silt surface layer and lateral undamaged areas to avoid root layer hypoxia, to obtain the benthic animal migration information.

[0011] By employing the aforementioned technical solution and collaboratively constructing information on changes in root layer aeration and benthic animal migration, a causal chain of environmental stress and biological response was established. Based on root hypoxia information, changes in root layer aeration were derived to quantitatively describe the hypoxia gradient from deep to shallow within damaged mangrove forests, clarifying the environmental stressors driving changes in biological behavior. Combined with benthic animal distribution information, the vertical upward migration and lateral dispersal behaviors of benthic animals for survival were identified and quantified, generating benthic animal migration information. The combined use of these two methods not only reveals the intrinsic mechanism of benthic animal spatial contraction—the forced change in habitat strategies to avoid root layer hypoxia—but also transforms abstract pathological correlations into measurable biological behavioral indicators. This analytical method effectively avoids the one-sidedness of judging ecological health solely based on single biomass data.

[0012] Optionally, the step of analyzing the trend of decreased sediment permeability caused by root hypoxia information and benthic animal migration information to obtain the damaged pathological association information set includes: analyzing the process of cortical peeling and loss of support caused by root cell decay based on root hypoxia information to obtain root disintegration information; analyzing the blockage of original habitat channels and loss of animal disturbance left by benthic animals after they move to lateral undamaged areas based on benthic animal migration information to obtain animal activity decline information; and analyzing the trend of sediment hardening caused by the occupancy of pores by decayed roots and the disappearance of animal burrows based on root disintegration information and animal activity decline information to obtain the damaged pathological association information set.

[0013] The above technical solution achieves deep coupling between root disintegration information and animal activity decline information. By deriving root disintegration information from root hypoxia information, the physical occupation effect of plant debris on pores is clarified. By deriving animal activity decline information from benthic animal migration information, the channel closure effect caused by the lack of biological disturbance is quantified. Based on root disintegration information combined with animal activity decline information, the sediment hardening trend caused by the combined occupation of pores by decaying roots and the disappearance of animal burrows is analyzed. This synergistic analysis mechanism overcomes the limitations of existing technologies that only focus on a single indicator. For the first time, it integrates the structural decay of plant roots and the behavioral retreat of benthic animals into the evaluation system of sediment permeability evolution. With the construction of this dual-damage model, it is possible to identify areas of rapid hardening caused by the superposition of root decay blockage and burrow collapse blockage, thereby improving the predictive accuracy and mechanistic explanatory power of the damaged pathological correlation information set, and providing a scientific basis for the subsequent formulation of targeted ecological restoration strategies.

[0014] Optionally, the step of analyzing the differentiated degradation pathways caused by root damage, accumulation of fallen leaf sediments, and shrinkage of benthic animal space based on the damaged pathological association information set to obtain a differentiated damage information set includes: analyzing the detachment of decaying roots under tidal scouring and the root anchoring failure process based on the damaged pathological association information set to obtain root anchoring failure information; analyzing the stagnation of vertical sediment transport caused by the lack of benthic animal disturbance based on the animal activity decline information and the root anchoring failure information to obtain material stagnation information; and analyzing the rate difference of surface sediment transformation from a loose state to a compact state based on the material stagnation information to obtain the differentiated damage information set.

[0015] The aforementioned technical solution enables in-depth analysis from pathological correlation to differentiated degradation pathways. By introducing tidal hydraulics as an external driving force, static information on root disintegration and animal activity decline is transformed into dynamic processes of root anchoring failure and material blockage. This reveals the critical mechanism by which degradation is transmitted from the biological activity level to the physical structure level. Furthermore, by utilizing the spatial distribution differences of the leaf litter layer, the rate differences in the transformation of surface sediments from a loose to a compact state in different regions are quantified, thereby constructing a differentiated damage information set containing multidimensional degradation characteristics. This analytical method not only distinguishes the risk of rapid erosion caused by loose root structure but also identifies the risk of deep compaction caused by lack of biological disturbance and gelatinous blockage. This ensures that the final differentiated damage information set accurately reflects the complex degradation mechanisms within damaged mangrove wetlands, avoiding the one-size-fits-all assessment shortcomings of existing methods.

[0016] Optionally, the process of constructing the root anchoring failure information includes: based on the root disintegration information, analyzing the decrease in density of the xylem vascular bundles due to hollowing after the root cortex is peeled off, to obtain root structure loosening information; based on the root structure loosening information, analyzing the root stress concentration phenomenon caused by the increased interlocking degree of the contact interface between the root system and the silt under the dynamic load of tidal hydraulic scouring, to obtain the root anchoring failure information.

[0017] Through the above technical solutions, a complete causal chain from microscopic pathology to macroscopic mechanics was constructed. By analyzing the hollowing phenomenon of xylem vascular bundles based on root disintegration information, the structural root cause of the decrease in the density of the root material itself was first clarified. Furthermore, the dynamic environmental factor of tidal hydraulic erosion was introduced, revealing the mechanical mechanism that the loose root system inevitably leads to stress concentration under the special condition of increased interlocking with the silt interface. The synergistic effect of the loosening information of the root system structure and the dynamic tidal load transforms the originally hidden internal decay problem into an explicit anchoring failure risk. That is, hollowing reduces the deformation resistance of the root system, while interlocking exacerbates the local stress accumulation. Both of these factors jointly lead to the rapid fracture and detachment of the root system under complex hydrodynamic environment. This analytical method not only explains why damaged mangroves are more prone to lodging and soil erosion under tidal action, but also provides a precise mechanical basis for distinguishing areas with different degrees of degradation, thereby supporting the subsequent priority determination of soil stability function.

[0018] Optionally, the process of constructing the material hindrance information includes: based on the animal activity decay information, analyzing the pore closure phenomenon caused by the loss of lateral support in the biological burrows left by benthic animals after migration, to obtain burrow blockage information; based on the root anchorage failure information, analyzing the process of the surface sediments originally fixed by roots collapsing due to the loss of root pull and restraint under tidal hydrodynamic action, to obtain sediment layer compaction information; based on the burrow blockage information and combined with the sediment layer compaction information, analyzing the gravity compaction process of sediment particles in the vertical direction due to the lack of biological channels and physical support structures, to obtain the material hindrance information.

[0019] The above technical solution organically couples the disappearance of biological channels caused by the decline in animal activity with the collapse of physical structures caused by the failure of root anchoring. Through the synergistic analysis of burrowing blockage information and sediment layer compaction information, it not only quantifies the structural changes caused by a single factor, but also reveals the superimposed amplification effect of the loss of biological channels and the loss of physical support in the vertical dimension. This dual destruction mechanism leads to the formation of a dense barrier with high resistance inside the sediment, explaining the fundamental reason for the stagnation of vertical material transport in damaged mangrove wetlands.

[0020] Optionally, the step of analyzing the rate difference in the transformation of surface sediments from a loose to a compact state based on the material hindrance information to obtain the differentiated damage information set includes: based on the material hindrance information, analyzing the decomposition and gelation process of leaf litter in the damaged and oxygen-deficient environment of mangroves, and the filling and sealing effect on the intergranular spaces of sediments under tidal hydrodynamics to obtain pore blockage information; based on the pore blockage information, analyzing the lack of vertical stirring of sediments due to the lack of animal activity after the migration of benthic animals to obtain vertical consolidation information; and based on the vertical consolidation information, comparing and analyzing the difference in drainage rate under tidal pressure between areas covered with a leaf litter gel layer and areas without gel cover to obtain the differentiated damage information set.

[0021] The aforementioned technical solution achieves cross-scale correlation from microscopic mechanisms to macroscopic manifestations. Through the synergistic effect of pore blockage information and vertical consolidation information, it not only quantifies the individual contributions of leaf litter gelatinization and lack of bioturbation to sediment densification, but also reveals the nonlinear amplification effect of their coupling through comparative analysis. This construction of a differentiated set of destructive information allows the system to identify areas rapidly degraded due to the formation of a suffocation layer from external leaf accumulation, distinguishing them from areas of gradual degradation caused by natural aging of the internal root system. Therefore, ecological restoration strategies can be tailored accordingly: for degraded areas dominated by gelatinous layers, physical interventions such as leaf removal and breaking up the hard crust are prioritized; while for areas dominated by lack of bioturbation, the focus is on introducing benthic animals and improving habitats.

[0022] Optionally, the step of determining the hierarchical growth status level based on the differentiated damage information set, and outputting and executing the damaged mangrove wetland growth status identification strategy includes: based on the differentiated damage information set, analyzing the difference in sediment densification rate between areas covered with leaf litter and areas without litter cover during tidal drainage to obtain regional degradation information; based on the regional degradation information, analyzing the degree of soil stability decline caused by the loss of root support function in different areas to obtain stability degradation priority information; based on the stability degradation priority information, comparing the degree of biological disturbance loss caused by the decline in animal activity in benthic animal migration areas to analyze the degradation gradient of benthic habitat activity in different areas to obtain growth degradation ranking information; based on the growth degradation ranking information, identifying the area with the highest degree of degradation and the strongest characterization effect on regional growth status as the key growth status anomaly identification target, and outputting and executing the damaged mangrove wetland growth status identification strategy.

[0023] The above technical solution achieves closed-loop control from microscopic pathological mechanisms to macroscopic growth status identification. By analyzing the differences in sediment densification rates based on differentiated damage information sets, it is possible to capture abrupt changes in physical properties caused by leaf litter gelatinization. This physical change is then mapped to the degradation priority of root support status and soil stability, establishing a quantitative link between physical processes and growth status indicators. The degree of bio-disturbance loss caused by the decline in benthic animal activity is introduced for multi-dimensional comparison, constructing a growth degradation ranking information covering stability and habitat activity. Finally, based on this ranking information, the areas with the most severe degradation and the most significant impact on mangrove survival, growth, and regeneration are identified as key targets. This progressive analytical logic not only overcomes the shortcomings of isolated indicators and static assessments in existing technologies, but also achieves differentiated and refined restoration strategies by distinguishing between different scenarios such as those with and without gelatinous layers, and those with high stability requirements and high habitat activity requirements. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram illustrating an application scenario provided in one embodiment of this application; Figure 2 A flowchart illustrating a method for identifying the growth status of damaged mangrove wetlands, provided as an embodiment of this application. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0027] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0028] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0029] Mangrove wetlands, as highly productive ecosystems, play a crucial role in bank protection, biodiversity maintenance, and water purification. However, influenced by natural evolution and human activities, mangrove wetlands often face complex damage conditions such as root decay, sediment compaction, and biological community degradation. Current technologies for assessing damaged mangroves often treat indicators such as root accumulation, leaf litter, and benthic animal distribution as isolated factors for static observation, lacking in-depth analysis of the pathological cascade effects between these factors under damaged conditions. This isolated assessment approach fails to reveal the intrinsic driving mechanisms of physical blockage, sediment migration, and structural hardening, making it impossible to accurately distinguish differentiated degradation pathways caused by different primary factors, thus resulting in a lack of targeted ecological restoration strategies.

[0030] Based on this, this application provides a method for identifying the growth status of damaged mangrove wetlands. It constructs a complete causal analysis chain, firstly exploring the dual causes of sediment hardening and compaction, thus overcoming the limitations of existing indicators; then distinguishing different degradation paths and quantifying the blocking effect to achieve dynamic assessment; finally, identifying targets with abnormal growth status, and customizing restoration plans as needed to improve the scientific nature and effectiveness of ecological restoration.

[0031] Figure 1 This application provides an application scenario diagram. In the process of identifying the growth status of damaged mangrove wetlands, a path-path-state level causal chain is constructed to analyze root rot and animal blockage leading to compaction, distinguish heterogeneous degradation paths and quantify the gelatinous filling effect, and finally map the growth status to determine the identification target, thus overcoming the existing static subjective defects.

[0032] Specifically, the method provided in this application can be applied to any server, which interacts with multi-source remote sensing images to obtain a set of mangrove wetland information provided by the multi-source remote sensing images. It constructs a complete causal chain from pathological correlation analysis to differential path deduction and then to the determination of growth status level, and outputs a growth status identification strategy for damaged mangrove wetlands to wetland monitoring staff for execution, thereby realizing the differentiation and refinement of restoration strategies.

[0033] The specific implementation method can be referred to in the following embodiments, wherein the data mentioned in the embodiments are only for reference and examples, so that relevant personnel can better understand them.

[0034] Figure 2 This is a flowchart illustrating a method for identifying the growth status of damaged mangrove wetlands according to an embodiment of this application. The method of this embodiment can be applied to servers in the above-described scenario. Figure 2 As shown, the method includes: Example 1: S201. Obtain a mangrove wetland information set. Based on the mangrove wetland information set, analyze the relationship between root silt, fallen leaf sediment and benthic animals in the damaged state of mangroves to obtain a damaged pathological association information set.

[0035] A mangrove wetland information set refers to a basic data collection reflecting the current physical structure and biological distribution of mangrove wetlands, using multi-source remote sensing imagery as the data source. Specifically, this information set covers root sediment thickness, leaf cover information (such as coverage and decomposition stage), and benthic animal distribution information (such as population density and vertical distribution depth). Analyzing the relationship between root sediment, leaf deposits, and benthic animals in damaged mangroves can refer to constructing a three-dimensional coupled pathological analysis framework of roots, leaves, and benthic animals, aiming to reveal the chain reaction caused by their interaction. For example, when the thickness of sediment on the root surface exceeds a certain threshold and is covered by an incompletely decomposed leaf layer, the physical compaction of the sediment and the gelatinous substances produced by leaf decomposition together form a dense cover layer, blocking the diffusion of oxygen to the root epidermis, thus causing root hypoxia. The hypoxic environment in the roots forces benthic animals to migrate to the surface or lateral undamaged areas with higher oxygen content to avoid stress. This migration behavior, in turn, leads to the loss of biological disturbance in the original habitat. By quantifying the causal chain between the aforementioned physical blockage, biological migration, and bioactivity decline, a set of pathological correlation information can be obtained. This set of information is specifically manifested as a set of parameters such as sediment permeability deterioration index, root hypoxia stress coefficient, and bioactivity decline rate. This step aims to fundamentally analyze the pathological cascade effects within damaged mangrove forests, transforming isolated observational indicators into correlated information reflecting the system's intrinsic damage mechanisms.

[0036] S202. Based on the damaged pathological association information set, analyze the differentiated degradation pathways caused by root damage, accumulation of fallen leaf sediments and shrinkage of benthic animal space to obtain a differentiated damage information set.

[0037] Differential degradation pathways refer to the spatially heterogeneous evolutionary trajectories exhibited by mangrove wetland ecosystems under different dominant pathological factors. The analysis process, based on the aforementioned set of damage pathological association information, distinguishes and quantifies the system functional decline patterns caused by different primary factors, such as root structure disintegration, leaf litter gelatinization, and benthic animal space contraction. Specifically, if the pathological association information shows root disintegration as the dominant factor, the degradation pathway manifests as decreased soil stability due to loss of root anchoring force; if it shows leaf litter accumulation as the dominant factor, the pathway manifests as drainage obstruction caused by gelatinous layer filling pores; if it shows benthic animal space contraction as the dominant factor, the pathway manifests as stagnation of vertical material transport caused by the disappearance of burrows. For example, under tidal hydrodynamics, a comparative analysis of areas covered with a thick layer of leaf litter gelatin and areas without gelatinous cover shows that the former, due to pores being filled with gelatin and lacking animal stirring, has a higher sediment densification rate than the latter, thus forming different damage characteristics. The above analysis yielded a differentiated damage information set, which includes key indicators such as the degree of root anchoring failure, material resistance strength, and densification rate differences in different regions. This step realizes the mapping from single pathological analysis to multidimensional degradation scenarios, enabling the identification of differentiated damage characteristics in different regions due to different dominant damage factors, and avoiding the bias of a one-size-fits-all assessment.

[0038] S203. Based on the differentiated damage information set, perform hierarchical growth status level determination, output and execute the growth status identification strategy of damaged mangrove wetlands.

[0039] Hierarchical growth status classification refers to the process of directly mapping and ranking quantified differentiated damage information with the level of mangrove growth damage. In practice, firstly, based on the densification rate and anchorage failure degree of each region within the differentiated damage information set, the priority of root support status and soil stability status degradation is determined. Secondly, considering the degree of bioturbation loss caused by benthic animal migration, the degradation gradient of benthic habitat activity on mangrove growth is determined. Finally, by comprehensively comparing the severity of degradation in each growth status dimension and its weighted impact on the survival, growth, and regeneration of regional mangroves, the status with the highest degree of degradation and the strongest urgency for intervention is identified as the key abnormal growth status. For example, if data from a certain region shows an extremely rapid sediment densification rate and severe root anchorage failure, while bioturbation loss is relatively mild, then the key abnormal growth status in that region is determined to be root support degradation, and a strategy of prioritizing the removal of the leaf litter layer and improving soil aeration is output accordingly. Conversely, if bioactivity decline is the primary issue, a strategy of introducing benthic animals and restoring bioturbation is output. The system outputs and executes a strategy for identifying the growth status of damaged mangrove wetlands, generating a decision-making scheme that includes target status location, anomaly cause type, recommended restoration measures, and implementation priorities, guiding subsequent ecological restoration projects. This step, by transforming degradation mechanism data into actionable growth status identification results, achieves a closed loop from scientific assessment to decision-making, improving the efficiency of ecological restoration resource allocation and governance effectiveness.

[0040] Example 2: In some embodiments, the method of analyzing the correlation between root silt, fallen leaf sediment, and benthic animals in damaged mangroves based on the mangrove wetland information set to obtain a damaged pathological correlation information set further includes the following steps: Step 1: The mangrove wetland infographic includes information on root sediment thickness, leaf litter cover, and benthic animal distribution. Among these, root sediment thickness refers to the vertical depth of the sediment layer covering the mangrove root system, reflecting the degree of physical burial of the roots; leaf cover information includes the coverage, accumulation thickness, and decomposition stage of the leaf layer, used to characterize the input and transformation state of surface organic matter; and benthic animal distribution information includes the species composition, population density, and vertical distribution depth of benthic animals in the sample plot. For example, during implementation, the root sediment thickness of a sample plot can be measured to be 15 cm using the probe method. Quadrat surveys reveal that the leaf cover is 85% and in a semi-decomposed, gelatinized state. Simultaneously, excavation sampling shows that benthic animals are mainly distributed in the 0-5 cm surface layer, while the density decreases in deeper layers. This information from these three dimensions forms the input basis for subsequent pathological analysis. Through the fusion of multi-source data, the habitat characteristics of damaged mangrove wetlands can be comprehensively reconstructed, providing data support for revealing the coupling relationships between various elements.

[0041] Step 2: Based on the thickness of root sediment accumulation and combined with information on fallen leaf cover, analyze the blocking effect of the cover layer formed by the mixture of sediment and fallen leaves on root aeration, and obtain information on root hypoxia. Root hypoxia information refers to a quantitative indicator characterizing the low-oxygen or hypoxic state of mangrove roots due to external environmental barriers to gas exchange. It is obtained by simulating the physical obstruction of oxygen diffusion and biological oxygen consumption processes by a mixture of silt and fallen leaves. Specifically, this step analyzes how the mixed cover layer formed by silt particles and decomposed fallen leaves, with increasing thickness and gelatinization, leads to a decrease in porosity, thus creating a blocking effect. This blocking effect not only restricts the diffusion of atmospheric oxygen to the rhizosphere soil but also accelerates local oxygen consumption due to microbial respiration during leaf decomposition. For example, when the root accumulation thickness exceeds a critical value and the fallen leaf cover information indicates the presence of a high-viscosity gelatinous layer, the calculated permeability barrier coefficient increases, indicating that oxygen transport channels are effectively cut off, thereby generating root hypoxia information characterizing a severe hypoxic state. Root hypoxia information, used in conjunction with root accumulation thickness and fallen leaf cover information, is used to quantify the degree of rhizosphere environmental deterioration under the combined effects of physical burial and biochemical processes, revealing the initial causes of root damage.

[0042] Step 3: Based on the distribution information of benthic animals and the information on root hypoxia, analyze the distribution and change patterns of benthic animals migrating to the surface and lateral of the silt to obtain benthic animal migration information; Benthic animal migration information refers to behavioral data describing the spatial location changes of benthic animal communities to avoid unfavorable living environments. Specifically, this step uses the previously obtained root hypoxia information as an environmental driving force, comparing and analyzing changes in benthic animal distribution information over time or spatial sequences. When root hypoxia information shows that the dissolved oxygen concentration in the rhizosphere is below the survival threshold for benthic animals, the animal population will exhibit obvious escape behavior, that is, vertical migration from deep hypoxic areas to the oxygen-rich surface layer of silt, or horizontal diffusion to undamaged areas. For example, if monitoring data shows that root hypoxia information in a certain area indicates severe hypoxia, and benthic animal distribution information shows that species that originally inhabited the 10-20cm depth have disappeared and instead densely distributed in the 0-5cm surface layer, then upward migration behavior has occurred, and benthic animal migration information is generated accordingly. Benthic animal migration information and root hypoxia information work synergistically to establish a causal chain of environmental stress-biological response, objectively reflecting the spatial contraction trend of biological communities in damaged habitats.

[0043] Step 4: Based on root hypoxia information and benthic animal migration information, analyze the trend of decreased sediment permeability caused by root decay and reduced animal activity, and obtain a set of information related to damaged pathology. The damaged pathological association information set refers to the final dataset that comprehensively reflects the cascading effects of pathological processes within mangrove wetlands. Specifically, this step first deduces the cell death, cortical peeling, and decay processes caused by long-term root hypoxia based on root hypoxia information. This leads to the filling of pores originally occupied by roots with decaying organic matter. Second, it deduces the loss of bio-disturbance due to animal migration and the collapse and blockage of existing burrows based on benthic animal migration information. The combined effect of root decay occupying pores and the disappearance of animal burrows causes sediment hardening and compaction, resulting in decreased sediment permeability. For example, the analysis shows that in areas with severe root hypoxia, root disintegration reduces porosity by 20%, while burrow blockage caused by benthic animal migration further reduces permeability by 30%. The combined effect of these two factors leads to the conclusion of a sharp deterioration in sediment permeability, thus forming the damaged pathological association information set. In this step, information on root hypoxia and benthic animal migration is deeply integrated to reveal the complete pathological pathway from decline in biological activity to deterioration of physical structure, thus clarifying the intrinsic driving mechanism of sediment hardening and compaction.

[0044] Example 3: In some embodiments, the process of constructing root hypoxia information further includes the following steps: Step 1: Based on the thickness of root siltation, analyze the thickness and compaction of the silt coating layer formed on the root surface to obtain information on root physical sealing; Root physical blockage information can be a quantitative indicator characterizing the physical obstruction of oxygen diffusion channels on the root surface by sediment. This information quantifies the mechanical sealing effect of the sediment layer on the roots due to gravity compaction and tidal loads, directly determining the physical conditions for gas exchange between the roots and the external environment. Specifically, the analysis process includes extracting the root sediment thickness, simulating the deposition morphology of sediment particles on the root surface, and deducing the density of the encapsulation layer based on the sediment compaction coefficient. For example, when the root sediment thickness in a sample plot is monitored to be 15 cm, and the sediment moisture content is low, resulting in a dry density of 1.4 g / cm³, the analysis may be more comprehensive. 3 When the system determines that a high-compaction physical layer has formed in the area, the generated root physical blockage information shows an increased oxygen diffusion resistance coefficient. Conversely, if the sediment thickness is the same but the area is in a muddy state, the resistance coefficient shown in the physical blockage information is relatively low. Through this dual analysis based on thickness and compaction, the different effects of simple sediment accumulation and high-density compaction on the root system can be accurately distinguished, providing reliable physical boundary conditions for subsequent assessment of the degree of oxygen deficiency.

[0045] Step 2: Based on the information on fallen leaf cover and combined with the information on physical blockage of the root system, analyze the accumulation state of fallen leaves above the silt layer and the gelation phenomenon during the decomposition process to obtain information on root hypoxia. The information on leaf litter cover can include characteristic data such as leaf cover density, accumulation thickness, and decomposition stage. Root hypoxia information is the final assessment result comprehensively reflecting the degree of oxygen supply obstruction in the mangrove root zone. It is obtained by superimposing the biochemical blocking effect of the leaf litter layer onto the aforementioned physical blocking information of the root system. This information aims to reveal the trend of root zone microenvironment deterioration under the dual mechanisms of physical compaction and biochemical colloid formation, particularly identifying the filling and blocking effect of sticky colloidal substances produced by leaf decomposition on soil pores. Specifically, the analysis process first determines the uniformity and thickness of leaf litter distribution above the silt layer, then simulates the process of leaf litter decomposition under anaerobic conditions to produce polysaccharide colloidal substances, quantifying how these colloidal substances penetrate into the silt pores and synergistically act with the physical blocking layer to further cut off oxygen supply pathways. For example, if the root system's physical blockage information already indicates a moderate level of physical obstruction, and a 5-cm-thick layer of partially decomposed leaf litter is detected as the upper layer, the analysis model will calculate that a large amount of gelatinous material has seeped downwards, filling the micropores between the silt particles. This causes the generated root hypoxia information to indicate a sharp drop in dissolved oxygen concentration in the root zone below the critical threshold. In areas without leaf litter or where the leaves have not decomposed, even if physical blockage exists, the severity of root hypoxia is lower. Through this coupled analysis, it is possible to capture those hidden degradation areas where the silt layer is thin but severe leaf gelatinization leads to extreme hypoxia, thus providing refined data support for the subsequent identification of differentiated degradation pathways.

[0046] Example 4: In some embodiments, the process of constructing benthic animal migration information further includes the following steps: Step 1: Based on the information on root hypoxia, analyze the changes in the air permeability barrier intensity of the damaged mangrove forest from the deep layer to the surface layer to obtain information on changes in root permeability. Root layer aeration change information refers to quantitative data characterizing the gradient changes in oxygen transport capacity along the vertical profile of mangrove roots. This information is generated based on the root hypoxia information obtained above, specifically determined by analyzing the degree of obstruction to gas exchange at different depths of the mixed silt and leaf litter cover. Root hypoxia information reflects the hypoxic state on the root surface caused by physical blockage and biogelation, while root layer aeration change information further refines this hypoxic state in vertical space, revealing the changing pattern of aeration barrier intensity from the deep hypoxic core area to the relatively oxygen-rich surface area. Its role is to provide a basis for subsequent analysis of the spatial behavior of benthic animals, based on the environmental stress gradient. Root layer aeration change information can be layered according to the thickness of root sediment accumulation and leaf litter cover, for example, dividing the root layer into several levels such as 0-10cm, 10-20cm, and 20-30cm, and calculating the aeration barrier coefficient for each level. As the compaction of silt increases or the gelatinization of fallen leaves intensifies, the air permeability barrier strength in the deep layer increases, while the barrier strength in the surface layer is relatively small due to contact with water or the atmosphere, thus forming a clear gradient from deep to shallow.

[0047] Step 2: Based on the distribution information of benthic animals and the information on changes in root layer aeration, analyze the diffusion behavior of benthic animals as they move to the surface of the silt with higher oxygen content and the lateral undamaged areas to avoid root layer hypoxia, and obtain benthic animal migration information. Benthic animal migration information refers to dynamic indicators describing the spatial displacement of benthic animal populations, including migration direction, distance, and proportion. This information is obtained by coupling benthic animal distribution information with the aforementioned root layer aeration change information. Benthic animal distribution information is derived from field sampling surveys, recording animal density and species at different depths and levels; root layer aeration change information provides environmental driving factors. The synergistic effect of both is to explain the phenomenon of decreased density in deeper layers, increased density in the surface layer, or decreased density in damaged areas and increased density in laterally undamaged areas in the benthic animal distribution information, thereby confirming this as an active diffusion behavior to avoid hypoxia. Its role is to quantify the intensity of the biological response of the ecosystem under damage stress, reflecting the resilience and stability of the ecosystem. Benthic animal migration information can be updated into a dynamic sequence that changes over time to monitor the evolution of degradation processes. For example, taking polychaete annelids as an example, when root layer aeration data showed that the aeration barrier strength at a depth below 20 cm exceeded the threshold T, the observed distribution density of these animals in the 0-10 cm surface layer increased by 60% compared to the normal state. Simultaneously, 30% of the individuals horizontally dispersed to the undamaged area 5 meters away from the damaged center. The resulting benthic animal migration information included two key parameters: vertical upward migration rate and lateral escape rate. Through this correlation analysis, a leap from static biological distribution data to dynamic behavioral migration indicators was achieved, accurately capturing the feedback mechanism of biological factors to environmental pathological changes.

[0048] Example 5: In some embodiments, based on root hypoxia information and benthic animal migration information, the trend of decreased sediment permeability caused by root rot and reduced animal activity is analyzed to obtain a set of information related to damaged pathology. The method further includes the following steps: Step 1: Based on the information on root hypoxia, analyze the process of cortical peeling and loss of support caused by root cell rot to obtain information on root disintegration. Root disintegration information refers to a dataset describing the necrosis of root cells, the separation of cortex and xylem, and the loss of overall mechanical support capacity in mangrove roots under long-term hypoxic conditions. This information quantifies the degree to which the root system degenerates from a structural support to a porous filler. Specifically, when roots are exposed to a hypoxic environment for a prolonged period, the root epidermal cells die first, followed by liquefaction and peeling of the cortical parenchyma due to enzymatic degradation. This leads to shrinkage of the root's outer diameter but hollowing of the interior, ultimately resulting in the loss of anchoring and supporting the surrounding sediment. For example, in severely damaged areas, mangrove prop roots with a diameter of 2 cm were observed to have completely detached cortex, leaving only a loose vascular bundle framework, with support capacity reduced to less than 15% of that of healthy roots. This state is recorded as high-intensity root disintegration information. Through this analysis of the cortical peeling and loss of support process, the nodes in the transformation of the root system from a biologically active structure to an inert physical barrier can be identified.

[0049] Step 2: Based on benthic animal migration information, analyze the blockage of original habitat channels and the absence of animal disturbance left behind after benthic animals move to lateral undamaged areas to obtain information on animal activity decline. Benthic animal migration information refers to behavioral data characterizing the migration of benthic animals from deep or damaged core areas to the surface and laterally healthy areas to avoid hypoxic environments. This data originates from the aforementioned calculations of the upward shift of the animal distribution center of gravity. Animal activity decline information refers to indicators reflecting the reduction or even disappearance of the original bioturbation functions (such as burrowing, feeding, and excretion) caused by benthic animal migration. This information is used to assess the decline in the ability of sediments to maintain biological channels. Specifically, benthic animals (such as crabs and polychaetes) construct and maintain complex burrow networks during normal activities. These burrows are important channels for vertical aeration and water exchange in sediments. Once animals migrate on a large scale, the original burrows collapse and become blocked due to the loss of lateral support and regular cleaning, while the bioturbation of the sediment surface ceases. For example, in a damaged plot, as the density of fiddler crabs decreased from 20 per square meter to 2 per square meter, the previously open U-shaped burrows were completely filled and blocked by fine-grained sediment within three tidal cycles. Bioturbation traces on the sediment surface decreased by 90%, a process quantified as a decline in animal activity. By tracking the blockage and loss of disturbance in the original habitat channels, the impact of the loss of bioengineering function on the sediment microstructure can be revealed.

[0050] Step 3: Based on the information on root disintegration and the information on animal activity decline, analyze the trend of sediment hardening caused by the occupancy of pores by decaying roots and the disappearance of animal burrows, and obtain a set of information related to the pathological damage. The damaged pathological association information set is a core dataset generated based on the combined effects of root disintegration and animal activity decline, used to characterize the degree of permeability deterioration in mangrove wetland sediments. The generation logic of this information set lies in constructing a coupled model of biological death plus biological withdrawal = structural collapse: on the one hand, according to root disintegration information, decaying root remains no longer function as support for pores; instead, their volume expansion or in-situ accumulation occupies the original pore space. On the other hand, according to animal activity decline information, the disappearance of animal burrows cuts off the vertical hydraulic conduction channels within the sediment. The combined effect of these two factors causes sediment particles to rapidly rearrange under gravity and overlying pressure, resulting in a sharp decrease in porosity and a tendency towards hardening and compaction. For example, when root disintegration information shows a loss of support exceeding 80%, and animal activity decline information shows a burrow blockage rate exceeding 70%, the model determines that the sediment permeability coefficient will decrease exponentially, thus generating damaged pathological association information indicating severe hardening and compaction. The resulting set of pathological association information not only reflects a single degradation phenomenon, but also profoundly reveals the critical mechanism by which ecosystems transition from biological decline to physical structural collapse, providing a solid mechanistic basis for subsequent analysis of differentiated degradation pathways.

[0051] Example 6: In some embodiments, based on the damaged pathological association information set, the differentiated degradation pathways caused by root damage, accumulation of fallen leaf sediments, and shrinking space for benthic animals are analyzed to obtain a differentiated damage information set. The method further includes the following steps: Step 1: Based on the damaged pathological association information set, analyze the detachment of the rotten roots under tidal hydraulic scouring and the root anchorage failure process to obtain root anchorage failure information. This step aims to quantify the degree of structural stability loss of mangrove roots under dynamic hydrodynamic conditions. The damage pathology association information set serves as the input, specifically including the aforementioned root disintegration information, which characterizes the cortical peeling and loss of support caused by root cell decay. Root anchorage failure information refers to the quantitative data showing that under the repeated tidal scouring, the tidal-carried soil repeatedly accumulates at the contact interface between the mangrove roots and silt, resulting in increased interlocking stability and intensified stress concentration, ultimately leading to root detachment from the silt. Specifically, based on the root disintegration information, the processor first analyzes the decrease in density of the xylem vascular bundles due to hollowing after cortical peeling, obtaining information on root structural loosening; subsequently, it simulates the dynamic load generated by tidal hydraulic scouring, analyzing the root stress concentration phenomenon caused by the increased interlocking at the contact interface between the roots and silt under this load. For example, when the cavitation rate of the root system exceeds 40%, under tidal scouring at a flow velocity of 0.5 m / s, the stress concentration factor of the roots increases by 2.3 times compared to healthy roots, causing the anchoring force to decrease sharply to below the critical value. Through this analysis and calculation that combines static decay state with dynamic hydraulic load, the critical evolution process of the root system from structural loosening to anchoring failure can be captured, thereby obtaining root anchoring failure information reflecting the degree of loss of root support function.

[0052] Step 2: Based on the information on animal activity decline and root anchoring failure, analyze the phenomenon of sediment vertical transport stagnation caused by the lack of benthic animal disturbance to obtain material hindrance information. This step is used to reveal the mechanism of vertical sediment transport obstruction under the combined effects of reduced biological activity and physical structural collapse. Information on decreased animal activity is derived from the aforementioned analysis of benthic animal migration, characterizing the blockage of original habitat channels and the absence of animal disturbance left behind after benthic animals migrate to laterally undamaged areas; information on root anchoring failure is the output of the previous step. Material obstruction information refers to state parameters indicating that the lack of biological burrowing channels and root system physical supports leads to sediment particle compaction under gravity, thereby reducing the vertical transport rate of water and nutrients. Specifically, the system first analyzes the pore closure phenomenon of biological burrows left by benthic animals after migration due to the loss of lateral support, based on information on animal activity decline, thus obtaining burrow blockage information. Simultaneously, based on root anchorage failure information, it analyzes the process of surface sediments, originally anchored by roots, collapsing under tidal hydrodynamic forces due to the loss of root tension, thus obtaining sediment layer compaction information. Finally, by combining burrow blockage and sediment layer compaction information, the system analyzes the gravity compaction process of sediment particles in the vertical direction due to the lack of biological channels and physical support structures. Through this multi-factor coupled analysis, the system can quantify the material hindrance information caused by the combined effects of lack of biological disturbance and failure of physical support, clarifying the dynamic obstacles to the transformation of sediments from a loose to a compact state.

[0053] Step 3: Based on the material hindrance information, analyze the rate difference of surface sediment transformation from loose to dense state to obtain a differentiated destruction information set.

[0054] The core of this step lies in distinguishing sediment densification rates under different degradation driving factors, thereby constructing differentiated degradation maps. Material hindrance information provides fundamental data on the stagnation of vertical sediment transport. The differentiated degradation information set can refer to a collection of comparative data on surface sediment densification rates under different regions or different causes, used to identify the spatial heterogeneity and path specificity of degradation. Specifically, based on material hindrance information, the system further analyzes the decomposition and gelation process of leaf litter in the damaged and oxygen-deficient environment of mangroves, as well as the filling and sealing effect on sediment particle gaps under tidal hydrodynamics, obtaining pore sealing information. Based on the pore sealing information, it analyzes the lack of vertical stirring of sediments due to the absence of animal activity after benthic animal migration, obtaining vertical consolidation information. Finally, based on the vertical consolidation information, it compares and analyzes the difference in drainage rates under tidal pressure between areas covered with a leaf litter gel layer and areas without gel cover. For example, in areas covered with thick layers of leaf litter, the sediment densification rate can be 3 to 5 times higher than in areas without litter cover, indicating that degradation in such areas is mainly driven by a combination of litter blockage and vertical consolidation. In contrast, in areas without litter cover but with animal migration, densification primarily stems from the absence of biological disturbance. Therefore, by quantifying the rate differences under different mechanisms, a differentiated set of damage information was generated that clearly reflects different degradation pathways, such as root damage-dominated, leaf litter accumulation-dominated, or animal migration-dominated pathways, providing refined data support for subsequent determination of growth status levels.

[0055] Example 7: In some embodiments, the process of constructing root anchorage failure information further includes the following steps: Step 1: Based on the root disintegration information, analyze the phenomenon of decreased density of xylem vascular bundles due to hollowing after the root cortex is peeled off, and obtain information on the loosening of root structure. Among these, information on root structure loosening refers to quantitative indicators reflecting the deterioration of the internal microstructure of mangrove roots and the reduction in overall mechanical strength. Specifically, this information is obtained by analyzing the process after the root cortex peels off, where the vascular bundles of the xylem, originally filled with thin-walled cells or solid, undergo necrosis and decomposition, eventually forming hollow cavities. The hollowing out of the vascular bundles directly leads to a reduction in the effective load-bearing area of ​​the root cross-section, resulting in a decrease in the overall density of the root material. For example, when mangrove roots are subjected to long-term hypoxia stress, the cortex tissue breaks down and sheds first, exposing the internal xylem. If, at this time, the xylem vascular bundles expand or even become completely hollow due to fungal erosion or the cessation of their own metabolism, the flexural section modulus of the root system will decrease. Through this analysis of microstructural changes, the degree of structural loosening of the root system from solid and strong to hollow and fragile can be accurately quantified, providing basic data for subsequent assessment of its stability under dynamic loads.

[0056] Step 2: Based on the information on the loosening of the root structure, analyze the stress concentration phenomenon at the root caused by the increased interlocking degree of the contact interface between the root system and the silt under the dynamic load of tidal hydraulic scouring, and obtain the root anchorage failure information. When root systems become hollow and structurally loose, their surface roughness and frictional characteristics with the surrounding silt change. Under the scouring action of periodic tidal currents, the loose root surface is more easily embedded by silt particles, leading to an abnormally increased degree of interlocking at the root-silt interface. While this high degree of interlocking may seem to increase friction, it actually causes severe stress concentration in localized areas of the root system (especially in hollow, weak areas) under dynamic water flow impact. For example, during storm surges, high-frequency water flow impacts the already hollow, loose root system. Because the root system cannot effectively disperse the shear force brought by the water flow, stress rapidly accumulates at the edges of the hollow areas of the vascular bundle, causing the root system to undergo fatigue fracture or brittle detachment from the silt interface under loads far below normal strength. The resulting root anchorage failure information can reveal how microstructural deterioration evolves into macroscopic mechanical instability, thus providing early warning of shoreline collapse risks.

[0057] Example 8: In some embodiments, the process of constructing material blocking information further includes the following steps: Step 1: Based on the information on the decline of animal activity, analyze the closure phenomenon of the biological burrows left by benthic animals after they migrate due to the loss of lateral support, and obtain the burrow blockage information. Among them, the animal activity decline information characterizes the reduced biological disturbance capacity of the original habitat after benthic animals migrate to undamaged areas due to environmental stress. Burrow closure information refers to the data set showing that after benthic animals migrate out, the biological channels they originally dug and maintained (such as the habitat tubes of crabs and shellfish) become structurally unstable and eventually close under the lateral pressure of surrounding sediment due to the lack of continuous biological activity and the reinforcement of secretions. This information is obtained by monitoring the temporal relationship between changes in benthic animal density and the evolution of burrow morphology. Specifically, when benthic animals migrate out, the inner wall of the burrow loses the physical support of the organism itself and the cementing layer formed by biological mucus, leading to a decrease in the shear strength of the burrow wall; under the pressure of the overburden, the burrow gradually shrinks until it completely collapses, forming a dense sediment filling. For example, in a damaged mangrove plot, as the fiddler crab population density decreased from 20 crabs / m² to 2 crabs / m², it was observed that vertical burrows with a diameter of approximately 1.5 cm underwent neck contraction due to lateral compression within 48 hours and completely closed after 72 hours, with porosity plummeting from 35% to 5%. This analysis of the dynamics of pore closure allows for the quantification of the specific extent of biological channel disappearance, thus providing fundamental data for subsequent assessments of obstructed vertical material transport.

[0058] Step 2: Based on the root anchorage failure information, analyze the process by which the surface sediments, originally fixed by the roots, collapse due to the loss of root tension and restraint under the action of tidal hydrodynamics, and obtain information on sediment layer compaction. The sediment compaction information refers to the data set showing that after the surface sediments lose the physical support and traction of the root network, under the combined action of periodic tidal scouring and gravity, the particles rearrange and tend to compact. This information is calculated based on tidal velocity data and a root tensile strength attenuation model. Specifically, healthy mangrove roots form a three-dimensional network structure in the sediment, acting as reinforcement and maintaining the porosity between particles. When the root system fails to anchor, this physical framework collapses, and the sediment particles undergo relative displacement under the seepage force and their own gravity during tidal recession. Smaller particles fill the gaps between larger particles, leading to overall volume shrinkage and increased density. For example, when the root tensile strength decreases to less than 20% of its initial value due to decay, under repeated tidal scouring at a velocity of 0.5 m / s, the originally loose surface silt (dry density 0.8 g / cm³) will become compacted. 3 It will be rapidly compacted to a dry density of 1.2 g / cm³ within one tidal cycle. 3 This forms a hard, compacted layer. By simulating this collapse process, we can accurately capture the tendency of structures to densify due to the loss of physical support.

[0059] Step 3: Based on the information on burrow blockage and sediment layer compaction, analyze the gravity compaction process of sediment particles in the vertical direction due to the lack of biological channels and physical support structures to obtain material hindrance information.

[0060] Specifically, cavitation blockage severs the original rapid vertical flow channels within the sediment (elimination of the biological pump effect), while sediment compaction eliminates the macroscopic pores between particles (disappearance of the physical framework). The synergistic effect of these two factors forces sediments to diffuse vertically solely through tiny intergranular pores, significantly increasing the resistance path for fluid transport and accelerating and irreversibly accelerating the gravity compaction process. For example, in areas where both complete cavitation closure and severe surface compaction coexist, the vertical hydraulic conductivity of the sediment can drop from the normal 10... -4 The speed drops drastically to the order of 10 cm / s. -7 The speed is on the order of cm / s, meaning that oxygen from the upper layer cannot be replenished downwards, and anaerobic metabolic products from the lower layer cannot diffuse upwards. The resulting information on material blockage reveals the pathological state of stagnant material cycling within the ecosystem of damaged mangrove wetlands due to the destruction of both biological and physical structures.

[0061] Example 9: In some embodiments, based on material hindrance information, the rate difference of transformation of surface sediments from a loose state to a dense state is analyzed to obtain a differentiated damage information set. The method further includes the following steps: Step 1: Based on material hindrance information, analyze the decomposition and gelation process of fallen leaf sediments in the damaged and oxygen-deficient environment of mangroves, as well as the filling and sealing effect on the interparticle gaps of sediments under the action of tidal hydrodynamics, to obtain pore sealing information. Specifically, in the long-term oxygen-deficient environment caused by mangrove damage, the decomposition pathway of organic matter changes, shifting from rapid aerobic mineralization to slow anaerobic decomposition. This process generates a large amount of high-molecular-weight colloidal substances, i.e., a process of decomposition and gelation. These colloidal substances have high viscosity and strong adsorption properties, and under the repeated scouring and infiltration of tidal forces, they enter the tiny pores between sediment particles with the water flow. As the colloidal substances accumulate and shrink due to dehydration, their filling and blocking effect on the gaps between sediment particles leads to narrowing or even complete blockage of pore channels. For example, when the leaf litter thickness in a certain area exceeds 10 cm and the area is submerged and oxygen-deficient for more than 30 days, the porosity within the top 5 cm of the sediment can decrease by more than 40% due to colloidal filling, forming a water-impermeable hard crust. By quantifying the amount of colloidal substances generated per unit time and their proportion of the filling volume in the pores, pore blockage information can be obtained, which directly reflects the degree of damage to the physical structure of the sediment caused by external organic input.

[0062] Step 2: Based on the pore blockage information, analyze the lack of vertical stirring of sediments due to the lack of animal activity after the migration of benthic animals, and obtain vertical consolidation information; Among these, pore blockage information can refer to the occlusion status of physical channels, while bioturbation by benthic animals is a key factor in maintaining the loose structure of sediments. In damaged mangrove wetlands, due to root hypoxia and sedimentary environmental deterioration, benthic animals migrate out of their original habitats in large numbers, leading to the abandonment of existing burrows and the absence of new burrow formation. This lack of animal activity causes the sediments to lose their natural vertical mixing mechanism, and the loose structure originally maintained by bioturbation rapidly compacts under gravity. Specifically, in sediment layers lacking bioturbation, effective bridging structures cannot be formed between particles, and the pressure of the overlying sediment is directly transmitted to the lower layers, accelerating water expulsion and particle rearrangement. For example, when the benthic animal density is less than 5 individuals / m³... 2 In areas where the vertical compression rate of sediments is higher than in normally active areas (density > 50 sediments / m³), 2 It is 3-5 times faster and the consolidation time after the tide recedes is shortened by 60%. By combining the drainage obstruction caused by pore blockage with the accelerated compaction caused by the lack of biological disturbance, the sediment volume change rate under the superimposed effect of the two is analyzed, thereby obtaining vertical consolidation information, which characterizes the contribution of the lack of biological factors to sediment densification.

[0063] Step 3: Based on the vertical consolidation information, compare and analyze the difference in drainage rate under tidal pressure between areas covered with leaf litter and areas without litter coverage to obtain a differentiated damage information set.

[0064] Vertical consolidation information provides fundamental data on sediment densification dynamics. To identify regions dominated by different degradation pathways, this step introduces a spatial comparative analysis mechanism. Regions covered with a leaf litter layer and those without litter cover, exhibiting typical characteristics, were selected as control subjects. Under the same tidal pressure load (such as high tide hydrostatic pressure or tidal shear force), the drainage rates of both were monitored and calculated. Regions covered with a leaf litter layer, due to the pores being filled with the litter and lacking bioturbation, have extremely low permeability and slow drainage rates, leading to delayed pore water pressure dissipation and making them highly susceptible to liquefaction or structural damage. In contrast, regions without litter cover, even with some degree of compaction, have relatively unobstructed drainage channels, faster drainage rates, and relatively better structural stability. For example, measured data show that under the same tidal pressure, the drainage rate in the litter-covered area is only 0.05 cm / s, while that in the uncovered area reaches 0.8 cm / s, a difference of up to 16 times. By quantifying the difference in drainage rates by multiples or ratios, a differentiated damage information set can be obtained. This information set clearly distinguishes between degradation types dominated by leaf littering and degradation types caused by other factors (such as simple root aging), providing a spatial heterogeneity basis for subsequent determination of key abnormal growth states.

[0065] Example 10: In some embodiments, a hierarchical growth status level is determined based on a differentiated damage information set, and a strategy for identifying the growth status of damaged mangrove wetlands is output and executed. The method further includes the following steps: Step 1: Based on the differential destruction information set, analyze the difference in sediment densification rate between areas covered with leaf litter and areas without litter cover during tidal drainage to obtain regional degradation information; Regional degradation information refers to quantitative data reflecting the degree of decline in the growth status of different spatial units of mangrove wetlands due to changes in physical structure. This information is obtained based on the differentiated damage information set generated in the preceding steps, specifically utilizing data on pore blockage and vertical consolidation. Its function is to transform abstract material obstruction phenomena into comparable regional indicators to characterize the stability differences of different micro-geomorphic units under tidal dynamics. Specifically, the analysis is achieved by comparing the drainage dynamic parameters of two typical regions: one is a region with a surface covered by a gelatinous layer formed by decomposed leaves, and the other is a region with exposed sediments without this gelatinous layer. Under the negative pressure generated by tidal recession, the gelatinous layer hinders the discharge of pore water, leading to a faster rate of increase in effective stress, thereby accelerating the compaction process of sediments. For example, within a sampling area, area A, covered by a layer of leaf litter, has a drainage rate of only 0.5 cm / h during a single tidal cycle, while area B, without leaf litter, has a drainage rate of 2.0 cm / h. This indicates that the sediment densification rate in area A is four times that in area B. This difference in rate constitutes the core content of regional degradation information. Through this comparative analysis, areas where the physical properties have deteriorated sharply due to leaf litter accumulation can be located, providing a spatial distribution basis for subsequent determination of growth status levels.

[0066] Step 2: Based on regional degradation information, analyze the degree of soil stability decline caused by the loss of root support function in different regions to obtain stability degradation priority information; The stability degradation priority information refers to the ranking of the urgency of degradation in terms of shoreline stability and root support status among various mangrove wetland sub-regions. This information is generated based on the regional degradation information obtained above, and its core logic is to directly map the sediment densification rate to the soil stability loss rate. The loss of root support function usually manifests as a coupling effect of weakened root anchoring force and sediment hardening. When the sediment densification rate is too high, it means that the pore water pressure in the soil dissipates too quickly or the soil structure becomes brittle, making it extremely susceptible to shear failure under the impact of wind and waves. Specifically, the system calculates the stability decline index of each region based on the densification rate value in the regional degradation information and a preset stability threshold model. For example, regions with densification rates exceeding a critical value (such as a volume compression rate greater than 5% per hour) are judged to be in a high-risk state of soil stability and given the highest priority weight; while regions with lower densification rates are given a lower priority. This step aims to identify regions facing the risk of collapse due to physical structural deterioration, ensuring that restoration resources are prioritized for key areas to prevent catastrophic ecological failure.

[0067] Step 3: Based on the stability degradation priority information, compare the degree of biological disturbance loss caused by the decline in animal activity in benthic animal migration areas, analyze the degradation gradient of benthic habitat activity in different areas, and obtain growth degradation ranking information. Among them, growth degradation ranking information can be a multi-dimensional comprehensive evaluation index used to quantify the overall degradation level of different regions in multiple growth state-related indicators such as root support, sediment permeability, and benthic habitat activity. This information is generated based on the stability degradation priority information obtained above, combined with the degree of animal activity decline reflected in benthic animal migration information. The degree of bioturbation loss is determined by statistically analyzing the decline ratio of indicators such as benthic animal burrowing density and biological tillage depth per unit area, which is directly related to the wetland's ability to maintain biodiversity and material cycling. Specifically, the analysis process uses weighted superposition or matrix comparison to couple the analysis of soil stability degradation and benthic habitat activity degradation. For example, in a certain region C, although its soil stability degradation priority is high (severe densification), if the benthic animals in this region have completely migrated out, resulting in a bioturbation loss degree of 90%, then its degradation gradient in benthic habitat activity will be marked as extremely high; conversely, if a certain region D has relatively good stability but still has biological activity, then its comprehensive degradation gradient is relatively low. This comparative analysis reveals complex degradation characteristics that cannot be reflected by a single indicator, forming a complete degradation gradient spectrum from damage to a single state to system collapse.

[0068] Step 4: Based on the growth degradation ranking information, identify the areas with the highest degree of degradation and the strongest representation of the regional growth status as key targets for identifying abnormal growth status, and output and execute the growth status identification strategy for damaged mangrove wetlands.

[0069] The strategy for identifying the growth status of damaged mangrove wetlands can be defined as a specific action plan for restoration targeting identified key areas and abnormal growth states. This strategy is generated based on the aforementioned growth degradation ranking information, and its implementation is typically carried out by an ecological restoration decision-making system or management personnel. The identification logic follows the principle of maximum risk-maximum benefit, that is, among all degraded areas, those areas with the highest degradation scores (i.e., the most unstable or with the most severe loss of biological activity) and whose growth status restoration has the strongest indicative and driving effect on the entire wetland ecosystem (such as those located in the throat of tidal channels or the core area of ​​mangrove seedling regeneration) are selected as key identification targets. Specifically, the system automatically outputs an implementation plan including the target area coordinates, the dominant degradation type (such as gelatinous layer-induced compaction or bio-disturbance-deficient degradation), and recommended restoration measures (such as mechanical removal of the gelatinous layer, in-situ release of benthic animals, or root aeration improvement). For example, if the analysis results show that a certain estuary area simultaneously possesses the highest priority for stability degradation and the most severe lack of bioturbation, and that this area is a key region for mangrove seedling regeneration and root system recovery, then the system will identify it as a key target for identifying abnormal growth conditions and immediately output a combined strategy of prioritizing sediment loosening and biological community reconstruction. This achieves the automatic transformation from complex data analysis to actionable engineering instructions.

[0070] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for identifying the growth status of damaged mangrove wetlands, characterized in that, include: Obtain a mangrove wetland information set, and based on the mangrove wetland information set, analyze the correlation between root silt, fallen leaf sediment and benthic animals in the damaged state of mangroves to obtain a damaged pathological correlation information set; Based on the aforementioned set of pathological association information, we analyzed the differentiated degradation pathways caused by root damage, accumulation of fallen leaf sediments, and shrinkage of benthic animal space, and obtained a set of differentiated damage information. Based on the differentiated damage information set, a hierarchical growth status level is determined, and a strategy for identifying the growth status of damaged mangrove wetlands is output and executed.

2. The method according to claim 1, characterized in that, Based on the mangrove wetland information set, the relationships between root silt, fallen leaf sediment, and benthic animals in damaged mangroves are analyzed to obtain a damage pathology association information set, including: The mangrove wetland information set includes information on root sediment thickness, leaf cover, and benthic animal distribution. Based on the root accumulation thickness and the fallen leaf coverage information, the blocking effect of the cover layer formed by the mixture of silt and fallen leaves on root aeration is analyzed to obtain root hypoxia information. Based on the benthic animal distribution information and the root hypoxia information, the distribution and variation patterns of benthic animals migrating towards the surface and lateral of the silt were analyzed to obtain benthic animal migration information. Based on the information on root hypoxia and the information on benthic animal migration, the trend of decreased sediment permeability caused by root decay and reduced animal activity was analyzed to obtain the set of information related to the pathological damage.

3. The method according to claim 2, characterized in that, The process of constructing the root hypoxia information includes: Based on the thickness of root siltation, the thickness and compaction of the silt layer formed on the root surface are analyzed to obtain information on root physical sealing. Based on the information on fallen leaf cover and the information on physical blockage of the root system, the accumulation state of fallen leaves above the silt layer and the gelation phenomenon during the decomposition process are analyzed to obtain the information on root hypoxia.

4. The method according to claim 2, characterized in that, The process of constructing the benthic animal migration information includes: Based on the information on root hypoxia, the changes in the air permeability barrier intensity of the damaged mangrove forest from the deep layer to the surface were analyzed to obtain information on changes in root permeability. Based on the benthic animal distribution information and the root layer aeration change information, the diffusion behavior of benthic animals moving to the oxygen-rich silt surface and lateral undamaged areas to avoid root layer hypoxia is analyzed, and the benthic animal migration information is obtained.

5. The method according to claim 2, characterized in that, The method involves analyzing the trend of decreased sediment permeability caused by root hypoxia information and benthic animal migration information, combined with the analysis of root rot and reduced animal activity, to obtain the damage pathology association information set, including: Based on the information on root hypoxia, the process of cortical peeling and loss of support caused by root cell rot was analyzed to obtain information on root disintegration. Based on the benthic animal migration information, we analyzed the blockage of the original habitat channels and the absence of animal disturbance left behind after the benthic animals moved to the lateral undamaged area, and obtained information on the decline in animal activity. Based on the root disintegration information and the animal activity decline information, the trend of sediment hardening caused by the rotting roots occupying pores and the disappearance of animal burrows is analyzed to obtain the damage pathology association information set.

6. The method according to claim 5, characterized in that, Based on the aforementioned set of pathological association information, the differential degradation pathways caused by root damage, accumulation of fallen leaf sediment, and shrinking space for benthic animals are analyzed to obtain a set of differential damage information, including: Based on the aforementioned set of damaged pathological association information, the process of root detachment and root anchorage failure under tidal hydraulic scouring was analyzed to obtain root anchorage failure information. Based on the information on the decline in animal activity and the information on the failure of root anchorage, the phenomenon of stagnation in vertical sediment transport caused by the lack of benthic animal disturbance is analyzed to obtain information on material stagnation. Based on the material hindrance information, the rate difference of surface sediment transformation from loose to dense state is analyzed to obtain the differential damage information set.

7. The method according to claim 6, characterized in that, The process of constructing the root anchorage failure information includes: Based on the root disintegration information, the density of the xylem vascular bundles decreased due to hollowing after the root cortex was peeled off, and information on the loosening of the root structure was obtained. Based on the information on the loosening of the root structure, the stress concentration phenomenon at the root caused by the increased interlocking degree of the contact interface between the root system and the silt under the dynamic load of tidal hydraulic scouring is analyzed, and the root anchorage failure information is obtained.

8. The method according to claim 6, characterized in that, The process of constructing the material blocking information includes: Based on the information on the decline in animal activity, the closure phenomenon of the biological burrows left by benthic animals after they migrated due to the loss of lateral support was analyzed, and burrow blockage information was obtained. Based on the root anchorage failure information, the process of surface sediments that were originally fixed by roots collapsing due to the loss of root tension and restraint under the action of tidal hydrodynamics was analyzed, and information on sediment layer compaction was obtained. Based on the burrowing information and the sedimentary layer compaction information, the gravity compaction process of sediment particles in the vertical direction due to the lack of biological channels and physical support structures is analyzed to obtain the material hindrance information.

9. The method according to claim 6, characterized in that, Based on the material retardation information, the rate difference in the transformation of surface sediments from a loose state to a dense state is analyzed to obtain the differentiated damage information set, including: Based on the material hindrance information, the decomposition and gelation process of fallen leaf sediments in the damaged and oxygen-deficient environment of mangroves was analyzed, as well as the filling and sealing effect on the interparticle gaps of sediments under the action of tidal hydrodynamics, to obtain pore sealing information. Based on the pore blockage information, the vertical agitation of sediments was lost due to lack of animal activity after benthic animals migrated out, and vertical consolidation information was obtained. Based on the vertical consolidation information, the difference in drainage rate under tidal pressure between areas covered with leaf gel and areas without gel coverage is compared and analyzed to obtain the differentiated damage information set.

10. The method according to claim 9, characterized in that, The step of determining the hierarchical growth status level based on the differentiated damage information set, and outputting and executing a strategy for identifying the growth status of damaged mangrove wetlands includes: Based on the aforementioned differential degradation information set, the difference in sediment densification rate between areas covered with leaf litter and areas without litter coverage during tidal drainage is analyzed to obtain regional degradation information. Based on the regional degradation information, the degree of soil stability decline caused by the loss of root support function in different regions is analyzed to obtain stability degradation priority information. Based on the stability degradation priority information, the degree of biological disturbance loss caused by the decline in animal activity in benthic animal migration areas is compared, and the degradation gradient of benthic habitat activity in different areas is analyzed to obtain growth degradation ranking information. Based on the growth degradation ranking information, the region with the highest degree of degradation and the strongest role in representing the regional growth status is identified as the key target for identifying abnormal growth status, and the growth status identification strategy of the damaged mangrove wetland is output and executed.

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