River corridor habitat quality evaluation method and device and storage medium

Abstract

The invention provides a river gallery habitat quality evaluation method and device and a storage medium. The method comprises the steps of obtaining a river static scoring system; constructing a river gallery seasonal dynamic change boundary model; locking a gallery boundary in a critical period of the key species, and delimiting a dynamic gallery boundary adjusted along with natural hydrological fluctuation in a non-critical period of the key species; obtaining the influence of each scale buffer area on the river ecological environment and the habitat quality change characteristics of the buffer area, and dividing the river reach in different buffer areas into different quality subareas according to the habitat quality; determining repair measures corresponding to different quality partitions; identifying the historical optimal habitat quality of the river gallery; and obtaining the habitat quality of different quality partitions after corresponding restoration measures, comparing the habitat quality with the historical optimal habitat quality to obtain a restoration effect result, and obtaining the change trend of the habitat quality through spatial superposition. By adopting the evaluation method provided by the invention, the evaluation result is closely associated with the ecological restoration practice, and the ecological restoration of the river gallery can be scientifically guided.

Description

Technical Field

[0001] This invention relates to the field of ecological restoration technology, and in particular to a method, apparatus and storage medium for assessing the quality of river corridor habitats. Background Technology

[0002] River corridors, as crucial transitional zones between aquatic and terrestrial ecosystems, directly impact ecosystem services such as biodiversity conservation, hydrological regulation, and carbon sequestration. Under the backdrop of intense human interference from water resource development and urbanization, the structure and function of river ecosystems have been damaged, biodiversity has declined significantly, and river corridors generally face problems such as habitat fragmentation, reduced connectivity, and water quality deterioration. Therefore, a scientific method for assessing river corridor habitat quality is urgently needed. However, traditional methods have significant limitations. For example, they fail to adequately consider the dynamic coupling relationship between key species habitat needs (such as fish migration channels and amphibian breeding wetlands) and hydrological rhythms (dry and wet seasons), leading to a disconnect between assessment results and ecological restoration practices, and thus failing to effectively guide ecological restoration of river corridors.

[0003] Therefore, there is a need for a method, apparatus, and storage medium for assessing the quality of river corridor habitats, in order to at least partially solve the above-mentioned technical problems. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a method, apparatus and storage medium for assessing the quality of river corridor habitats, in order to at least solve one of the problems in the prior art.

[0005] In a first aspect, embodiments of the present invention provide a method for assessing the quality of river corridor habitats, the assessment method comprising:

[0006] Acquire historical biological population change data, river morphology and riparian land use types of the target river, as well as the current topography and hydrology of the riparian zone, to form a static river scoring system;

[0007] Based on the static scoring system of rivers, and according to the relationship between the historical hydrological rhythm of the target river and the life cycle of key species, a seasonal dynamic change boundary model of river corridor based on the ecological needs of key species is constructed.

[0008] By using boundary models, corridor boundaries are locked during the critical period of key species to meet their habitat needs, and during the non-critical period of key species, dynamic hydrological parameter ranges are set based on historical hydrological data to delineate dynamic corridor boundaries that are adjusted with natural hydrological fluctuations.

[0009] Based on the spatial distribution characteristics of the optimal suitable habitats for key aquatic organisms, an overall habitat quality assessment model for the dynamic corridors of river water at different terrestrial buffer scales of the riparian zone was constructed. The impact of buffers at each scale on the river ecological environment and the characteristics of habitat quality changes were obtained. River sections in different buffers were divided into different quality zones according to habitat quality.

[0010] Based on the suitable habitat range of river organisms, the heterogeneity of river landforms, and the sensitivity of threat factors to riparian land use data, this study quantifies the evolution of river habitat quality at different buffer scales and determines corresponding restoration measures for different quality zones.

[0011] Based on historical land use evolution maps and hydrological monitoring sequence data, a coupled model of hydrology-corridor boundary-habitat suitability is established to obtain the overall analysis results of historical habitat quality of water areas and riverbank corridors, and to identify the historical best habitat quality of river corridors.

[0012] The habitat quality of different quality zones after corresponding restoration measures is obtained, and the restoration effect is compared with the historical best habitat quality. At the same time, the trend of habitat quality change is obtained by spatial overlay.

[0013] Secondly, embodiments of the present invention also provide a river corridor habitat quality assessment device, the assessment device comprising:

[0014] Memory is used to store executable instructions for a computer;

[0015] An evaluation method for a processor that implements the above-described technical solution when executing computer-executable instructions stored in the memory.

[0016] Thirdly, embodiments of the present invention also provide a storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the evaluation method of the above-described technical solution.

[0017] According to the assessment method of the present invention, the boundary model introduces a strategy of "flexible floating during non-critical periods + locking during critical periods" to achieve ecological restoration at the lowest cost while balancing the basic ecological functions and the needs of adaptive restoration. The entire assessment method focuses on the geographical characteristics, ecological sensitivity and potential ecological service functions of different restoration areas to achieve scientific planning of restoration areas, rational allocation of resources and maximize restoration effects.

[0018] Additional advantages, objects, and features of the invention will be set forth in part in the description which follows, and will also become apparent in part to those skilled in the art upon studying the description, or may be learned by practice of the invention. The objects and other advantages of the invention can be realized and obtained by means of the structures specifically pointed out in the description and drawings.

[0019] Those skilled in the art will understand that the objectives and advantages achievable with the present invention are not limited to those specifically described above, and that the above and other objectives achievable with the present invention will become clearer from the following detailed description. Attached Figure Description

[0020] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, are not intended to limit the scope of the invention. The components in the drawings are not drawn to scale but are merely illustrative of the principles of the invention. For ease of illustration and description of certain parts of the invention, corresponding portions in the drawings may be enlarged, i.e., may appear larger relative to other components in an exemplary device actually manufactured according to the invention. In the drawings:

[0021] Figure 1 A flowchart of an evaluation method according to an embodiment of the present invention;

[0022] Figure 2 This is a schematic diagram of river morphology in an evaluation method according to an embodiment of the present invention;

[0023] Figure 3 This is a schematic diagram of land use types in the Hutuo River Basin in an assessment method according to an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the characteristics of a river hydraulic geomorphological unit in an evaluation method according to an embodiment of the present invention;

[0025] Figure 5 In the evaluation method according to an embodiment of the present invention, Q = 56m 3 A schematic diagram showing the suitable habitat area for sweetfish (a type of fish) at / s.

[0026] Figure 6 In the evaluation method according to an embodiment of the present invention, Q = 20m 3 A schematic diagram showing the suitable habitat area for sweetfish (a type of fish) at / s.

[0027] Figure 7 This is a schematic diagram illustrating the coupling of dynamic rivers and land use types in an assessment method according to an embodiment of the present invention;

[0028] Figure 8 This is a schematic diagram illustrating the coupling of actual river extent and land use type in an assessment method according to an embodiment of the present invention.

[0029] Figure 9 This is a schematic diagram illustrating the classification of suitable habitat area and habitat quality for key fish species in an assessment method according to an embodiment of the present invention.

[0030] Figure 10 This is a schematic diagram of an evaluation apparatus according to an embodiment of the present invention;

[0031] Figure 11 This is a schematic diagram of an evaluation system according to an embodiment of the present invention. Detailed Implementation

[0032] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the embodiments and accompanying drawings. Here, the illustrative embodiments and descriptions of this invention are used to explain the invention, but are not intended to limit the invention.

[0033] It should also be noted that, in order to avoid obscuring the invention with unnecessary details, only the structures and / or processing steps closely related to the solution according to the invention are shown in the accompanying drawings, while other details that are not closely related to the invention are omitted.

[0034] It should be emphasized that the term "including / comprises" as used herein refers to the presence of a feature, element, step, or component, but does not exclude the presence or addition of one or more other features, elements, steps, or components.

[0035] It should also be noted that, unless otherwise specified, the term "connection" in this article can refer not only to a direct connection, but also to an indirect connection involving an intermediary.

[0036] In the following description, embodiments of the invention will be illustrated with reference to the accompanying drawings. In the drawings, the same reference numerals represent the same or similar parts, or the same or similar steps.

[0037] First, refer to Figure 1 A method 100 for assessing the habitat quality of river corridors according to an embodiment of this application is described. For example... Figure 1 As shown, the evaluation method 100 may include steps S110 to S170, as detailed below:

[0038] In step S110, historical biological population change data, river morphology and riparian land use type of the target river, as well as the current topography and hydrological conditions of the riparian zone are obtained to form a static scoring system for the river.

[0039] In step S120, based on the river static scoring system, and according to the relationship between the historical hydrological rhythm of the target river and the life cycle of key species, a seasonal dynamic change boundary model of the river corridor based on the ecological needs of key species is constructed.

[0040] In step S130, the corridor boundary is locked during the critical period of key species to meet their habitat needs through the boundary model. During the non-critical period of key species, the range of dynamic hydrological parameters is set based on historical hydrological data, and the dynamic corridor boundary is delineated according to natural hydrological fluctuations.

[0041] In step S140, based on the spatial distribution characteristics of the optimal suitable habitats for key aquatic organisms, an overall habitat quality assessment model for the dynamic corridors of river waters at different terrestrial buffer scales of the riparian zone is constructed to obtain the impact of buffer zones at each scale on the river's ecological environment and the characteristics of habitat quality changes. River sections within different buffer zones are divided into different quality zones according to habitat quality.

[0042] In step S150, based on the suitable habitat range of river organisms, the heterogeneity of river landforms, and the threat factor sensitivity of riparian land use data, the evolution pattern of river habitat quality at different buffer scales is quantified, and corresponding restoration measures for different quality zones are determined.

[0043] In step S160, based on historical land use evolution maps and hydrological monitoring sequence data, a coupled model of hydrology-corridor boundary-habitat suitability is established to obtain the overall analysis results of historical habitat quality of water areas and riverbank corridors, and to identify the historical best habitat quality of river corridors.

[0044] In step S170, the habitat quality of different quality zones after the corresponding restoration measures is obtained, and the restoration effect is obtained by comparing it with the historical best habitat quality. At the same time, the trend of habitat quality change is obtained by spatial overlay.

[0045] In the embodiments of this application, firstly, historical biological population change data, river morphology, and riparian land use types of the target river, as well as the current topography and hydrological conditions of the riparian zone, are acquired to form a static river scoring system. Based on the static river scoring system, a seasonal dynamic change boundary model of the river corridor based on the ecological needs of key species is constructed according to the relationship between the historical hydrological rhythm of the target river and the life cycle of key species. Then, through the boundary model, the corridor boundary is locked during the critical period of key species to meet their habitat needs, and during the non-critical period of key species, a range of dynamic hydrological parameters is set based on historical hydrological data to delineate the dynamic corridor boundary that adjusts with natural hydrological fluctuations. Based on the spatial distribution characteristics of the optimal suitable habitats for key aquatic organisms, an overall habitat quality assessment model of the dynamic corridor of the river water area at different terrestrial buffer scales of the riparian zone is constructed to obtain the results at each scale. This study investigates the impact of buffer zones on the river's ecological environment and the characteristics of habitat quality changes. River sections within different buffer zones are divided into different quality zones based on habitat quality. Then, based on the suitable habitat range for river organisms, river geomorphological heterogeneity, and the threat factor sensitivity of riparian land use data, the evolution patterns of river habitat quality at different buffer scales are quantified, and corresponding restoration measures for different quality zones are determined. Next, based on historical land use evolution maps and hydrological monitoring sequence data, a coupled hydrological-corridor boundary-habitat suitability model is established to obtain the overall analysis results of historical habitat quality in water areas and riparian corridors, identifying the historical optimal habitat quality of river corridors. Finally, the habitat quality of different quality zones after corresponding restoration measures is obtained, compared with the historical optimal habitat quality to obtain the restoration effect results, and the trend of habitat quality changes is obtained through spatial overlay.

[0046] As can be seen from the above description, according to the evaluation method 100 of this application embodiment, the boundary model introduces the strategy of "flexible floating during non-critical periods + locking during critical periods" to achieve ecological restoration at the lowest cost while balancing the basic ecological functions and the purpose of ecological restoration. The entire evaluation method focuses on the geographical characteristics, ecological sensitivity and potential ecological service functions of different restoration areas to achieve scientific planning of restoration areas, rational allocation of resources and maximize restoration effect.

[0047] Among them, Figure 1 Steps S110 to S170 are shown to be performed sequentially, but this is only an example. It is understood that the order of step S160 is not restricted.

[0048] The following will describe in detail the contents of the above steps of the evaluation method 100 according to the embodiments of this application.

[0049] In the embodiments of this application, step S110 involves acquiring historical biological population change data, river morphology and riparian land use types of the target river, as well as the current topography and hydrological conditions of the riparian zone, to form a static river scoring system.

[0050] Specifically, through literature review, a wide range of relevant academic journals and research findings were retrieved both domestically and internationally to systematically collect historical biological population change data for the target river, covering information such as species types, numbers, and distribution ranges at different times. This process involves in-depth analysis of historical data, including local chronicles and river basin water conservancy project archives, to extract key information related to river ecology, such as historical water level fluctuations, river channel changes, and species habitat changes.

[0051] Furthermore, satellite remote sensing technology was used to acquire remote sensing image data of the target river at different times, aiming to capture the dynamic changes of the river and its surrounding ecosystem. Based on this, specialized remote sensing image processing software was used to interpret and analyze the remote sensing images in detail, extracting relevant land feature data, such as river morphology and surrounding land use types. Taking the Hutuo River as an example, based on the above methods, the identification and analysis of river morphology and surrounding land use types were carried out, see [link to relevant documentation]. Figures 2-3 .

[0052] Advanced surveying techniques, such as total stations and GPS, can also be used to accurately measure the current topography of the studied river section. The measurements include riverbed elevation, bank slope, and channel width, resulting in a detailed river topographic map. Based on the topographic survey results, the characteristics of river hydraulic geomorphological units, such as the distribution of sluices and deep pools, can be analyzed. Figure 4 .

[0053] By integrating relevant research findings and expert opinions, a multi-dimensional static scoring system for river ecosystems was further constructed, as shown in Table 1. This system includes key ecological indicators such as three-dimensional (longitudinal, transverse, and vertical) connectivity of the river, river geomorphological heterogeneity, integrity of aquatic biological communities, and carbon sequestration efficiency. Simultaneously, data on land use types, landscape fragmentation, important habitat retention rates, and biodiversity in the studied riparian zones were systematically collected, providing accurate and comprehensive data support for subsequent habitat quality assessment and multi-objective restoration optimization of the river and its corridors.

[0054] Table 1

[0055]

[0056]

[0057] This scoring system integrates relevant data and incorporates opinions from experts in related fields, assigning scores to various ecological indicators based on the specific characteristics of each studied river section. To ensure the objectivity and accuracy of the ecological assessment, the range method was used to normalize the data for each indicator, enabling comparison and analysis under a unified standard.

[0058] X′=(Xmax-Xmin) / (X-Xmin)

[0059] Meanwhile, by combining spatial overlay analysis methods, the evaluation results of different ecological indicators are spatially integrated and overlaid, thereby comprehensively classifying the ecological status of the study area.

[0060] In the embodiments of this application, in step S120, a seasonal dynamic change boundary model of the river corridor based on the ecological needs of key species is constructed based on the relationship between the historical hydrological rhythm of the target river and the life activity cycle of key species, according to the river static scoring system.

[0061] Specifically, based on a static river scoring system and guided by ecological restoration, this study analyzes the spatiotemporal heterogeneity of historical hydrological rhythms (including high-water, normal-water, and low-water periods) and biological activity cycles (such as breeding, overwintering, and foraging periods) of the target river, taking into account the habitat requirements of key species (such as fish, amphibians, and reptiles) in the region. Considering the close relationship between different hydrological rhythms and the life cycles of key species, a seasonal dynamic boundary model of river corridors based on the ecological needs of key species is constructed.

[0062] First, the hydrological rhythms (including high-water, normal-water, and low-water periods) are precisely defined, clarifying the time range, flow variation range, and key parameters such as average flow for each rhythm. Based on these hydrological characteristics, a two-dimensional hydrodynamic model is used, with the aforementioned flow range as input, to simulate the changes in water depth, velocity, and water body size in river sections under different flow conditions. On this basis, combining the hydrodynamic model with Habitat Suitability Simulation (HSI), focusing on the habitat requirements of key species, particularly their habitat requirements during critical life stages such as the breeding season, the optimal suitable habitat area and spatial distribution for key fish species at different life stages are further calculated, thus deriving the optimal ecological flow and river corridor boundaries suitable for key fish habitats. For example, taking a certain river as an example, based on environmental DNA and historical river biological populations, the key fish species in this river is identified as the rare ayu (sweetfish). Based on relevant research and considering the current status of the river section, the suitability index curve for the ayu breeding season is finally obtained. By combining Habitat Suitability Simulation (HSI) with the two-dimensional hydrodynamic model, the suitable habitat area for the ayu breeding season under different flow conditions is calculated. Analysis results show that when the flow rate is Q = 56 m³ / s 3At a speed of / s, the suitable habitat area for sweetfish is the largest, see Figure 5 This provides a preliminary basis for further constructing a spatial distribution model of habitat suitability.

[0063] Given the differences in suitability between perennial dry sections and floodplains, and considering the key hydrological rhythms of the current breeding season, the impact of flow variations on the suitable habitat range of floodplains was studied. Using a similar method, with Q = 20m... 3 Taking / s as an example, the model was solved again, and the spatial distribution of the floodplain area and river habitat suitability under this flow rate was obtained, see... Figure 6 This process reveals the dynamic boundaries of river corridors under different flow conditions, especially their performance during critical hydrological periods.

[0064] Finally, by combining historical hydrological data, multiple optimization simulations were performed on the results to construct a dynamic corridor change boundary and the spatial distribution of dynamic suitable habitat changes for sweetfish, characterized by "elastic floating + critical period locking".

[0065] In the embodiments of this application, in step S130, the corridor boundary is locked during the critical period of the key species to meet their habitat needs through the boundary model, and during the non-critical period of the key species, the dynamic hydrological parameter range is set based on historical hydrological data to delineate the dynamic corridor boundary that is adjusted with natural hydrological fluctuations.

[0066] Specifically, the boundary model employs a "flexible floating + critical period locking" strategy, setting dynamic river corridor boundaries to adapt to the impact of hydrological cycles on the ecosystem. In this boundary model, critical periods (including breeding and overwintering periods) are locked as key times for the habitat needs of critical river species, ensuring they receive necessary habitat conditions and resource support during these critical periods. During non-critical periods, based on historical hydrological data, this data is analyzed to determine the key hydrological parameters (discharge, water level, inundation characteristics, etc.) required to maintain the river's basic ecological functions. Based on the range of hydrological parameters obtained from the analysis (rather than a single value), a dynamic corridor boundary with a certain degree of floating space is delineated, which can change accordingly with natural hydrological fluctuations. This dynamic corridor boundary is more lenient than the corridor boundary during critical periods, but it ensures the basic health and resilience of the ecosystem, forming a river corridor boundary with a certain degree of flexible floating. The core idea is to provide the strictest protection during the most important moments (critical periods), and to provide a more resilient and adaptive management framework based on historical hydrological patterns and basic ecological needs during relatively less important periods (non-critical periods).

[0067] In the embodiments of this application, step S140 constructs an overall habitat quality assessment model for riverbank buffer zones at different terrestrial buffer scales and dynamic corridors of river waters based on the spatial distribution characteristics of the optimal suitable habitats for key aquatic organisms. This model obtains the impact of buffer zones at each scale on the river's ecological environment and the characteristics of habitat quality changes. River sections within different buffer zones are then divided into different quality zones based on habitat quality.

[0068] Specifically, the habitat quality module of the InVEST model was used, with suitable habitat range for river organisms, river geomorphological heterogeneity, and sensitivity to threat factors in riparian land use data as core parameters. This quantified the evolution of river habitat quality at different buffer scales (50-1000 meter gradient), and deeply analyzed the impact of buffer zones at each scale on the river's ecological environment and the characteristics of habitat quality changes. Based on the analysis results, and according to the differences in habitat quality, river sections within different buffer zones were scientifically zoned according to habitat quality, primarily based on a quantitative assessment of habitat degradation and ecological restoration potential, thus dividing the river into different quality zones.

[0069] Different quality zones can include categories such as general restoration zones, typical restoration zones, and ecological protection zones, as shown in Table 2. Habitat quality ranges from 0 to 1, with higher values ​​indicating better quality. Zone thresholds can be adjusted based on relevant data and expert opinions.

[0070] Table 2

[0071] category Habitat quality (Q) meaning Ecological Protection Area Q≥0.8 The original ecosystem has undergone very slight degradation. Typical restoration area 0.5≤Q<0.8 Moderate degeneration, with high recovery potential General restoration area Q<0.5 Severe degradation, requiring long-term basic repair.

[0072] In the embodiments of this application, step S150 quantifies the evolution of river habitat quality at different buffer scales based on suitable habitat ranges for river organisms, river geomorphological heterogeneity, and threat factor sensitivity of riparian land use data, and determines corresponding restoration measures for different quality zones.

[0073] Specifically, the habitat quality module of the InVEST model can be used to quantify the evolution of river habitat quality at different buffer scales (50-1000 meter gradient) based on suitable habitat ranges for river organisms, river geomorphological heterogeneity, and threat factor sensitivity of riparian land use data. In-depth analysis of the impact of buffer zones at various scales on the river's ecological environment and the characteristics of habitat quality changes can provide a scientific basis for ecological protection and restoration. First, ArcGIS software was used to conduct spatial analysis of riparian land use types at different river buffer scales in historical data (e.g., 2020), and corresponding classification maps were drawn according to different land use types. Next, the area changes of habitat quality grade zones in 2020 at different buffer scales were analyzed. By combining data on historical land use types, hydrological changes, and vegetation cover, the evolution patterns of historical river habitats were derived based on the above methods. The study focused on the transformation process of habitat quality zones, especially the phenomenon of high-quality habitat areas turning into low-quality habitat areas. Based on this, corresponding restoration measures were determined for general restoration areas, typical restoration areas, and ecological protection areas. The aim is to improve the river ecological environment and promote the sustainable development of the ecosystem through targeted restoration and protection measures.

[0074] For example, for general restoration areas, management measures centered on ecological restoration are proposed, focusing on improving the basic functions and structure of damaged ecosystems; for typical restoration areas, emphasis is placed on ecological restoration and enhancement of biological habitats, such as by increasing the heterogeneity of river landforms to provide diverse habitats; and for ecological protection areas, the focus is on ecological protection and the maintenance of biodiversity to ensure the long-term stability of core ecological functions and the integrity of natural processes.

[0075] In the embodiments of this application, in step S160, a coupled model of hydrology-corridor boundary-habitat suitability is established based on historical land use evolution maps and hydrological monitoring sequence data to obtain the overall analysis results of historical habitat quality of water areas and riverbank corridors, and to identify the historical best habitat quality of river corridors.

[0076] Specifically, based on historical land use evolution maps and hydrological monitoring sequence data, a coupled model of hydrology, corridor boundaries, and habitat suitability is established to quantitatively analyze the overall historical habitat quality of water bodies and riverbank corridors. The sliding t-test and Mann-Kendall trend analysis method are used to identify the baseline year for the optimal historical habitat quality of river corridors, thereby determining the corresponding historical best habitat quality of river corridors.

[0077] In the embodiments of this application, step S170 obtains the habitat quality of different quality zones after corresponding restoration measures, compares it with the historical best habitat quality to obtain the restoration effect result, and obtains the trend of habitat quality change by spatial overlay.

[0078] Specifically, the InVEST habitat quality model was adopted, and a framework for analyzing the spatiotemporal evolution of the overall ecological environment quality of water bodies and riverbank buffer zones was constructed by integrating multi-source historical land use data (e.g., 1980-2020) with the dynamic coupling of suitable habitat quality in water bodies. Based on historical land use type data, the suitable habitat area for key fish species in rivers at different years and periods was determined. Using ArcGIS software, the static water body portion in the historical land use types was replaced with dynamic water body changes, and the spatial distribution of suitable habitat area was coupled as input conditions for improving the InVEST model. Specifically, since the water bodies in the land use data are static, while rivers themselves are highly dynamic and complex, the assessment of river habitat quality should adopt a dynamic assessment method. By combining Aovi software and field exploration, the spatial extent of the studied river was first clarified, and this extent was converted into a polygon file, laying the foundation for subsequent replacement of the water body type in the static land use data. The river extent was coupled with the 2020 land use type layer using ArcGIS software, see [link to ArcGIS software]. Figure 7 To convert the static water area into a dynamic water area, see... Figure 8 Subsequently, based on the suitability index curve of key fish species, the optimal ecological flow Q = 56 m³ / h was determined. 3 The suitable habitat area for key fish species is divided into three categories—low, medium, and high—using a natural discontinuity method. Figure 9 As shown. These results were evaluated based on the habitat quality module of the InVEST model at Q=56m. 3 / s River habitat quality and overall habitat quality of river terrestrial corridors.

[0079] The InVEST model's habitat quality module works as follows: Based on land use type data, the InVEST model's habitat quality module establishes the relationship between threat sources and habitat quality, analyzes the impact and sensitivity of external threats, and thus derives the distribution characteristics of habitat quality within the study area. The habitat quality index ranges from 0 to 1. The calculation formula is as follows:

[0080]

[0081] Where Z is a normalization constant with a value of 2.5, and H... j The field represents the habitat suitability of land use type j; Q xj D represents the habitat quality of raster x in land use type j; xj This indicates the degree of habitat degradation of raster x in land use type j; K is a half-saturation constant with a default value of 0.5.

[0082]

[0083] Among them, Y rThe r represents the number of raster cells on the threat factor layer; w r R represents the weight of the threat factor; R represents the number of threat factors; r is the threat factor of the habitat; β x At the level indicating the accessibility of the raster x; r y The value of r represents the degree of influence of the threat factor on the grid y, and ranges from 0 to 1; i rxy This represents the influence of threat factor r on the habitat of raster x on raster y; S jr This indicates the sensitivity of land use type j to threat factor r.

[0084]

[0085] Where, d rmax d represents the maximum influence distance of threat factor r. xy This represents the linear distance between the x and y values ​​of a raster.

[0086] This embodiment considers cultivated land and construction land as the main sources of threat. Based on the above principles and the sensitivity factors in Table 3, the flow rate Q = 56 m³ / s is obtained. 3 Spatial distribution of river habitat quality under / s conditions.

[0087] Table 3

[0088]

[0089]

[0090] The following steps will be based on the above methods, and by analyzing historical flow data and the spatial distribution of habitat quality under historical land use types, we will further compare it with the spatial distribution of habitat quality under current land use types and the most suitable flow for key fish species.

[0091] That is, the habitat quality of different quality zones after corresponding restoration measures is compared with the historical best habitat quality to obtain the restoration effect. At the same time, the trend of habitat quality change is obtained through spatial overlay. For example, if the comparison shows that the obtained habitat quality is lower than the historical best habitat quality, it means that the current restoration effect is not perfect. However, it is still necessary to observe the trend of habitat quality change. If the subsequent habitat quality can reach or even exceed the historical best habitat quality, it indicates that the current restoration measures are effective.

[0092] Furthermore, a positive and negative feedback mechanism for restoration measures has been established. This mechanism helps to dynamically adjust restoration strategies during the restoration process, optimize restoration measures in a timely manner based on ecosystem feedback, and ensure the sustainability and effectiveness of restoration results. For example, data on the annual increase in overall river corridor habitat quality, the return rate of indicator species, the boundary range of river corridors, and the number of DNA monitoring sequences of key species are obtained during the restoration process. When the respective set conditions are met, the effectiveness of measures is enhanced or risk warnings are issued (see Table 4). Specifically, the core of the feedback mechanism lies in timely identifying problems and taking corresponding corrective measures through monitoring results of the ecosystem's self-repair capacity and ecological environment changes, such as adjusting restoration efforts, optimizing water flow management, and adding habitats. By establishing a dual-cycle feedback system through monitoring and model data, adaptive management is achieved, thereby providing scientific decision support and dynamic optimization schemes for river ecological corridor restoration projects.

[0093] Table 4

[0094]

[0095] Based on this feedback mechanism, the spatial layout and implementation strategies of ecological restoration measures were also optimized to ensure optimal restoration results within different ecological quality zones. In terms of spatial layout, particular attention was paid to the geographical characteristics, ecological sensitivity, and potential ecosystem service functions of different restoration zones, in order to scientifically plan restoration areas, rationally allocate resources, and maximize restoration effectiveness.

[0096] Based on the above description, the evaluation method according to the embodiments of this application enables the evaluation results to be closely linked with ecological restoration practices, which helps to scientifically guide the ecological restoration of river corridors.

[0097] refer to Figure 10 This application also provides an evaluation apparatus 200 for implementing the evaluation method 100 according to the embodiments of this application. The evaluation apparatus 200 includes a processor 210 and a memory 220. The evaluation apparatus 200 may include one or more processors 210 and one or more memories 220. The memory 220 stores an executable program that is run by the processor 210. When the executable program is run by the processor 210, it causes the processor 210 to perform the evaluation method 100 described above according to the embodiments of this application.

[0098] The processor 210 may be a central processing unit (CPU) or other processing units with data processing capabilities and / or instruction execution capabilities.

[0099] The memory 220 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 210 may execute the program instructions to implement the client functions (implemented by the processor) in the embodiments of this application described herein, and / or other desired functions. Various applications and various data may also be stored in the computer-readable storage medium, such as various data used and / or generated by the applications.

[0100] The evaluation device 200 may also include input devices and output devices, these components being interconnected via a bus system and / or other forms of connection mechanisms. It should be noted that... Figure 10 The components and structure of the evaluation device 200 shown are merely exemplary and not limiting; the evaluation device 200 may also have other components and structures as needed.

[0101] The input device can be a device used by a user to input commands, and can include one or more of a keyboard, mouse, microphone, and touchscreen. Furthermore, the input device can also be any interface for receiving information.

[0102] The output device can output various information (e.g., images or sounds) to the outside (e.g., a user), and may include one or more of a display, speaker, etc. Furthermore, the output device can also be any other device with output functionality.

[0103] For example, the example evaluation apparatus 200 for implementing the evaluation method 100 according to the embodiments of this application can be applied to terminal devices (such as mobile phones), tablet computers, laptop computers, ultra-mobile personal computers (UMPCs), handheld computers, netbooks, personal digital assistants (PDAs), wearable devices (such as smartwatches, smart glasses, or smart helmets), augmented reality (AR) devices, virtual reality (VR) devices, smart home devices, in-vehicle computers, and other electronic devices. The embodiments of this application do not impose any limitations on this.

[0104] Those skilled in the art can understand the specific operation of the evaluation device 200 for implementing the evaluation method 100 according to the embodiments of this application in conjunction with the content described above. For the sake of brevity, the specific details will not be repeated here, but only some main operations of the processor 210 will be described.

[0105] In one embodiment of this application, when the executable program is run by the processor 210, the processor 210 performs the following steps: acquiring historical biological population change data of the target river, river morphology and riparian land use types, as well as the current topography and hydrological conditions of the riparian zone, to form a static river scoring system; based on the static river scoring system, constructing a seasonal dynamic change boundary model of the river corridor based on the ecological needs of key species according to the relationship between the historical hydrological rhythm of the target river and the life cycle of key species; using the boundary model, locking the corridor boundary during the critical period of key species to meet their habitat needs, and setting the range of dynamic hydrological parameters based on historical hydrological data during the non-critical period of key species, delineating the dynamic corridor boundary that adjusts with natural hydrological fluctuations; and constructing a relationship between different land buffer scales of the riparian zone and river water levels based on the spatial distribution characteristics of the optimal suitable habitats of key aquatic organisms. A dynamic corridor-based overall habitat quality assessment model is developed to obtain the impact of buffer zones at various scales on the river's ecological environment and the characteristics of habitat quality changes. River sections within different buffer zones are divided into different quality zones based on habitat quality. Based on the suitable habitat range of river organisms, river geomorphological heterogeneity, and the threat factor sensitivity of riparian land use data, the evolution law of river habitat quality at different buffer scales is quantified, and corresponding restoration measures for different quality zones are determined. Based on historical land use evolution maps and hydrological monitoring sequence data, a hydrological-corridor boundary-habitat suitability coupling model is established to obtain the overall analysis results of historical habitat quality of water areas and riparian corridors, and to identify the historical optimal habitat quality of river corridors. The habitat quality of different quality zones after corresponding restoration measures is obtained, and the restoration effect is compared with the historical optimal habitat quality to obtain the restoration effect results. At the same time, the trend of habitat quality change is obtained through spatial overlay.

[0106] The above exemplarily illustrates an evaluation method 100 according to an embodiment of this application. The following, in conjunction with... Figure 11 The evaluation system 300 provided in another aspect of the embodiments of this application is described.

[0107] Reference Figure 11 This document describes an example evaluation system 300 for implementing the evaluation method of the embodiments of this application. The evaluation system 300 may include a scoring system module 310, a boundary model construction module 320, a corridor boundary dynamics module 330, a quality zoning module 340, a remediation measure determination module 350, an identification module 360, and an evaluation result module 370. Wherein:

[0108] The scoring system module 310 is used to: obtain historical biological population change data, river morphology and riparian land use types of the target river, as well as the current topography and hydrological conditions of the riparian zone, to form a static scoring system for the river.

[0109] Boundary model construction module 320 is used to: construct a seasonal dynamic change boundary model of the river corridor based on the ecological needs of key species, according to the relationship between the historical hydrological rhythm of the target river and the life cycle of key species, based on the river static scoring system.

[0110] The corridor boundary dynamic module 330 is used to: lock the corridor boundary during the critical period of key species to meet their habitat needs through the boundary model, and set the range of dynamic hydrological parameters based on historical hydrological data during the non-critical period of key species to delineate the dynamic corridor boundary that is adjusted with natural hydrological fluctuations.

[0111] The quality zoning module 340 is used to: construct an overall habitat quality assessment model for riverbanks at different terrestrial buffer scales and dynamic corridors of river waters based on the spatial distribution characteristics of the optimal suitable habitats for key aquatic organisms; obtain the impact of buffers at each scale on the river's ecological environment and the characteristics of habitat quality changes; and divide river sections within different buffers into different quality zones based on habitat quality.

[0112] The restoration measures determination module 350 is used to: quantify the evolution of river habitat quality at different buffer scales based on suitable habitat ranges for river organisms, river geomorphological heterogeneity, and threat factor sensitivity of riparian land use data, and determine corresponding restoration measures for different quality zones.

[0113] The identification module 360 ​​is used to: establish a coupled model of hydrology-corridor boundary-habitat suitability based on historical land use evolution maps and hydrological monitoring sequence data, obtain the overall analysis results of historical habitat quality of water areas and riverbank corridors, and identify the historical best habitat quality of river corridors.

[0114] The assessment results module 370 is used to: obtain the habitat quality of different quality zones after corresponding restoration measures, compare the restoration effect with the historical best habitat quality, and obtain the trend of habitat quality change through spatial overlay.

[0115] The assessment system 300 proposed in this embodiment of the invention enables a close link between assessment results and ecological restoration practices, and can scientifically provide ecological restoration strategies for river corridors.

[0116] Furthermore, according to embodiments of this application, this application also provides a storage medium on which a computer program is stored. When the computer program is run by a processor, it is used to execute corresponding steps of the evaluation method 100 of this application. The storage medium may, for example, include a memory card of a smartphone, a storage component of a tablet computer, a hard disk of a personal computer, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a portable compact disc read-only memory (CD-ROM), a USB memory, or any combination of the above storage media. The computer-readable storage medium may be any combination of one or more computer-readable storage media.

[0117] Furthermore, according to embodiments of this application, this application also provides a computer program product, including computer instructions that, when executed by a processor, implement the steps of the evaluation method 100 of embodiments of this application.

[0118] Although exemplary embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above exemplary embodiments are merely illustrative and are not intended to limit the scope of this application. Various changes and modifications can be made therein by those skilled in the art without departing from the scope and spirit of this application. All such changes and modifications are intended to be included within the scope of this application as claimed in the appended claims.

[0119] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0120] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed.

[0121] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features but not others included in other embodiments, combinations of features from different embodiments are intended to be within the scope of this application and form different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

[0122] It should be noted that the above embodiments are illustrative of this application and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. This application can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

[0123] The above description is merely a specific embodiment or illustration of the embodiments of this application. The scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. The scope of protection of this application shall be determined by the scope of the claims.

Claims

1. A method for assessing the quality of river corridor habitats, characterized in that, The evaluation method includes: Acquire historical biological population change data, river morphology and riparian land use types of the target river, as well as the current topography and hydrology of the riparian zone, to form a static river scoring system; Based on the static scoring system of rivers, and according to the relationship between the historical hydrological rhythm of the target river and the life cycle of key species, a seasonal dynamic change boundary model of river corridor based on the ecological needs of key species is constructed. By using boundary models, corridor boundaries are locked during the critical period of key species to meet their habitat needs, and during the non-critical period of key species, dynamic hydrological parameter ranges are set based on historical hydrological data to delineate dynamic corridor boundaries that are adjusted with natural hydrological fluctuations. Based on the spatial distribution characteristics of the optimal suitable habitats for key aquatic organisms, an overall habitat quality assessment model for the dynamic corridors of river water at different terrestrial buffer scales of the riparian zone was constructed. The impact of buffers at each scale on the river ecological environment and the characteristics of habitat quality changes were obtained. River sections in different buffers were divided into different quality zones according to habitat quality. Based on the suitable habitat range of river organisms, the heterogeneity of river landforms, and the sensitivity of threat factors to riparian land use data, this study quantifies the evolution of river habitat quality at different buffer scales and determines corresponding restoration measures for different quality zones. Based on historical land use evolution maps and hydrological monitoring sequence data, a coupled model of hydrology-corridor boundary-habitat suitability is established to obtain the overall analysis results of historical habitat quality of water areas and riverbank corridors, and to identify the historical best habitat quality of river corridors. The habitat quality of different quality zones after corresponding restoration measures is obtained, and the restoration effect is compared with the historical best habitat quality. At the same time, the trend of habitat quality change is obtained by spatial overlay.

2. The evaluation method according to claim 1, characterized in that, It also includes establishing a positive and negative feedback mechanism for remediation measures to dynamically adjust the remediation strategy during the remediation process, specifically including: The annual increase in the overall habitat quality of the river corridor, the return rate of indicator species, the boundary range of the river corridor, and the number of DNA monitoring sequences of key species are obtained during the restoration process. When the respective set conditions are met, the effectiveness of measures is enhanced or risk warnings are issued.

3. The evaluation method according to claim 2, characterized in that, The aforementioned strengthening of measures effectiveness or risk warning when each set condition is met specifically refers to: If the annual increase in the overall river corridor habitat quality exceeds the set value and / or the return rate of indicator species exceeds the set value, the effectiveness of the measures will be further strengthened. If the river corridor boundary is greater than the minimum corridor boundary and / or the number of key species DNA monitoring sequences does not decrease, a risk warning will be issued.

4. The evaluation method according to claim 1, characterized in that, The habitat quality Q of different quality zones after corresponding restoration measures is obtained. xj Specifically, it refers to: Where Z is a normalization constant with a value of 2.5, and H... j The field represents the habitat suitability of land use type j; Q xj D represents the habitat quality of raster x in land use type j; xj This indicates the degree of habitat degradation for raster x in land use type j; K is a half-saturation constant with a default value of 0.

5. Among them, Y r The r represents the number of raster cells on the threat factor layer; w r R represents the weight of the threat factor; R represents the number of threat factors; r is the threat factor of the habitat; β x At the level indicating the accessibility of the raster x; r y The value of r represents the degree of influence of the threat factor on the grid y, and ranges from 0 to 1; i r This represents the influence of threat factor r on the habitat of raster x on raster y; S jr This indicates the sensitivity of land use type j to threat factor r; Where, d rmax d represents the maximum influence distance of threat factor r. xy This represents the linear distance between the x and y values ​​of a raster.

5. The evaluation method according to claim 1, characterized in that, The static river scoring system includes river connectivity, river geomorphological heterogeneity, aquatic biological community integrity, and carbon sequestration efficiency; among which, river connectivity includes longitudinal connectivity, lateral connectivity, and vertical connectivity.

6. The evaluation method according to claim 1, characterized in that, The acquisition of historical biological population change data, river morphology, and riparian land use types of the target river specifically refers to: Through ecological monitoring systems, relevant literature reviews, historical data and / or expert consultation results, collect historical biological population change data of the target river, including species types, numbers and distribution ranges at different times; Remote sensing image data of the target river at different times is obtained through satellite remote sensing technology. The remote sensing images are then interpreted to extract information on river morphology and riverbank land use types.

7. The evaluation method according to claim 1, characterized in that, The critical periods for the key species are the breeding period and the overwintering period.

8. The evaluation method according to claim 1, characterized in that, The different quality zones include general restoration zones, typical restoration zones, and ecological protection zones. Specifically, a quality zone with a habitat quality of less than 0.5 is a general restoration zone, a quality zone with a habitat quality of greater than or equal to 0.5 and less than 0.8 is a typical restoration zone, and a quality zone with a habitat quality of greater than 0.8 is an ecological protection zone.

9. A device for assessing the quality of river corridor habitats, characterized in that, The evaluation device includes: Memory is used to store executable instructions for a computer; A processor, when executing computer-executable instructions stored in the memory, implements the evaluation method according to any one of claims 1 to 8.

10. A storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform the evaluation method according to any one of claims 1 to 8.

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