A method and system for compiling a forest land feasibility report and ecological evaluation of a construction project

Abstract

A construction project forest land feasibility report preparation and ecological evaluation method, including collecting core parameters such as forest land operation area proportion, determining interaction coefficients such as forest land type coefficients, calculating initial disturbance coefficients by combining micro-topography and operation intensity interaction parameters, calculating cumulative coupling coefficients by combining initial disturbance and ecological factor space-time correlation parameters, calculating comprehensive feasibility indexes by combining business risk and ecological parameter balancing parameters, and preparing corresponding reports. The method solves the problem of ecological influence quantization deviation of the prior art without considering the interaction of micro-topography and operation intensity, and improves the evaluation accuracy.

Description

Technical Field

[0001] This invention relates to the field of forestry ecological evaluation technology, specifically to a method and system for preparing feasibility reports and conducting ecological evaluations of forest land for construction projects. Background Technology

[0002] In the preparation of feasibility reports and ecological assessments for forest land in construction projects, existing technologies typically only consider basic factors such as the area and intensity of forest land operations, neglecting the nonlinear impact of the interaction between forest micro-topographical complexity and operation intensity on ecological disturbance. This single-factor evaluation model leads to significant discrepancies between the quantitative results of ecological disturbance and the actual situation, failing to accurately reflect the true impact of operations on the forest ecosystem. Consequently, it affects the scientific validity of the feasibility report and the accuracy of the ecological assessment, making it difficult to provide a reliable basis for forest land use decisions in construction projects.

[0003] Based on the above problems, there is an urgent need for a technical solution that can accurately quantify the ecological impact of the interaction between micro-topography and work intensity. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and to propose a method for preparing feasibility reports and conducting ecological assessments of forest land for construction projects, comprising the following steps:

[0005] S1. Collect data on the following parameters: the proportion of forest land operation area corresponding to the construction project to the total forest land area, the proportion of forest land operation duration to the forest land growth cycle, the complexity of forest land micro-topography, the initial vegetation coverage, the connectivity of ecological corridors, the proportion of soil erosion intensification rate to background erosion, the proportion of vegetation recovery rate to the growth cycle, the proportion of forest litter accumulation, the distribution density of habitats of ecologically sensitive species, the probability of occurrence of forest pests, the forest fire risk coefficient, and the forest land carbon sink loss rate.

[0006] S2. Determine the forest land type coefficient based on forest land type, the operation intensity coefficient based on forest land operation type, the micro-topography synergy coefficient and synergy index based on the interaction between forest land micro-topography complexity and operation intensity, the vegetation growth status regulation coefficient based on vegetation growth status, the habitat protection coefficient based on the level of ecologically sensitive species, and the fire prevention level coefficient based on the forest fire risk level.

[0007] S3. Based on the proportion collected in S1 and the coefficients determined in S2, and combined with the interaction parameters of forest micro-topography complexity and operation intensity, calculate the initial coefficient of ecological disturbance of forest operation.

[0008] S4. Based on the initial ecological disturbance coefficient of forest land operation obtained in S3, the proportion collected in S1, and the coefficient determined in S2, and combined with the spatiotemporal correlation parameters of the initial disturbance and ecological factors, calculate the cumulative coupling coefficient of ecological impact.

[0009] S5. Based on the initial ecological disturbance coefficient of forest land operation obtained in S3, the cumulative coupling coefficient of ecological impact obtained in S4, the proportion collected in S1, and the coefficient determined in S2, and combined with the balance parameters of business risk parameters and ecological parameters, calculate the comprehensive index of ecological feasibility of forest land use.

[0010] S6. Based on the comprehensive ecological feasibility index of forest land use obtained in S5, prepare a feasibility report and an ecological impact assessment analysis report for the use of forest land in the construction project.

[0011] Preferably, in S1, drones are used to collect data on the micro-topographical complexity of forest land and the initial vegetation cover; total stations are used to collect data on the proportion of soil erosion intensification rate to background erosion; field survey equipment is used to collect data on the proportion of forest litter accumulation, the distribution density of habitats of ecologically sensitive species, and the forest land carbon sink loss rate; forestry business systems are used to collect data on the probability of forest pest occurrence and the forest fire risk coefficient; area measurement devices are used to collect data on the proportion of forest land operation area to the total forest land area; and duration statistics devices are used to collect data on the proportion of forest land operation duration to the forest land growth cycle.

[0012] In a further optimized configuration, in S2, forest land types include public welfare forests, commercial forests, and nature reserves, with the forest land type coefficient representing the weight value corresponding to the forest land type; forest land operation types include logging, afforestation, forest stand transformation, and boundary demarcation, with the operation intensity coefficient representing the weight value corresponding to the operation type; the vegetation growth status adjustment coefficient represents the weight value corresponding to the mean normalized vegetation index monitored by UAVs; the micro-topography synergy coefficient represents the interaction weight value between forest land micro-topography complexity and operation intensity; the synergy index represents the nonlinear amplification weight value of forest land micro-topography complexity on operation disturbance; the habitat protection coefficient represents the weight value corresponding to the level of ecologically sensitive species; and the fire prevention level coefficient represents the weight value corresponding to the forest fire risk level.

[0013] In a further preferred embodiment, in S3, the interaction parameter between forest micro-topographic complexity and operational intensity is the product of the synergistic exponent of forest micro-topographic complexity and the micro-topographic synergistic coefficient; the initial coefficient of ecological disturbance of forest operations is the product of the core proportion collected in S1 and the basic coefficient determined in S2, calculated in combination with the interaction parameter.

[0014] In a further preferred embodiment, in S3, the initial coefficient of ecological disturbance of forest land operation is obtained through a preset calculation logic of the initial coefficient of ecological disturbance of forest land operation. The calculation logic is related to the proportion of forest land operation area, the proportion of forest land operation duration, forest land type coefficient, operation intensity coefficient, micro-topography synergy coefficient, forest land micro-topography complexity, synergy index, initial vegetation coverage, and ecological corridor connectivity.

[0015] In a further preferred embodiment, in S4, the spatiotemporal correlation parameter between the initial disturbance and the ecological factors is the product of the initial ecological disturbance coefficient of forest land operation, the proportion of observation time after the operation, and the influence coefficient of the regulation of nature reserves; the cumulative coupling coefficient of ecological impact is the product of the vegetation growth status regulation coefficient, the proportion of soil erosion intensification rate, and the proportion of forest litter accumulation, which are related parameters, and is calculated in combination with the spatiotemporal correlation parameter.

[0016] In a further preferred embodiment, in S4, the cumulative coupling coefficient of ecological impact is obtained through a preset calculation logic for the cumulative coupling coefficient of ecological impact. The calculation logic is associated with the vegetation growth status adjustment coefficient, the proportion of soil erosion intensification rate, the proportion of vegetation recovery rate, the proportion of forest litter accumulation, the litter synergy index, the distribution density of habitats of ecologically sensitive species, the habitat protection coefficient, the initial coefficient of ecological disturbance of forest land operations, the proportion of observation time after the operation, the influence coefficient of regulation of nature reserves, and the cumulative effect amplification index.

[0017] In a further preferred embodiment, in S5, the balancing parameter between business risk parameters and ecological parameters is the product of parameters related to the potential for ecological corridor restoration and parameters related to the synergistic benefits of rural beautification and greening; the comprehensive index of ecological feasibility for forest land use is the result of the correlation calculation between the multi-source data fusion weight coefficient and the cumulative coupling coefficient of business risk parameters and ecological impact, combined with the balancing parameter.

[0018] A system for compiling feasibility reports and conducting ecological assessments of forest land for construction projects is characterized by being used to execute the feasibility report compilation and ecological assessment method for forest land for construction projects as described in any one of the above-mentioned methods. The system includes a multi-source data acquisition module, which is used to collect data on the following: the proportion of forest land operation area corresponding to the construction project to the total forest land area; the proportion of forest land operation duration to the forest land growth cycle; the complexity of forest land micro-topography; the initial vegetation cover; the connectivity of ecological corridors; the proportion of soil erosion intensification rate to background erosion; the proportion of vegetation recovery rate to the growth cycle; the proportion of forest litter accumulation; the distribution density of habitats of ecologically sensitive species; the probability of forest pest occurrence; the forest fire risk coefficient; and the forest land carbon sink loss rate.

[0019] Further preferably, the system also includes a coefficient determination module, an initial disturbance coefficient calculation module, a cumulative coupling coefficient calculation module, a comprehensive index calculation module, and a report compilation module. The coefficient determination module is used to determine forest land type coefficients based on forest land type, operation intensity coefficients based on forest land operation type, micro-topographic synergy coefficients and synergy indices based on the interaction between forest land micro-topographic complexity and operation intensity, vegetation growth status adjustment coefficients based on vegetation growth status, habitat protection coefficients based on ecologically sensitive species levels, and fire prevention level coefficients based on forest fire risk levels. The initial disturbance coefficient calculation module is used to calculate the initial ecological disturbance coefficient for forest land operations based on the proportion collected by the multi-source data acquisition module, the coefficients determined by the coefficient determination module, and the interaction parameters between forest land micro-topographic complexity and operation intensity. The cumulative coupling coefficient... The data calculation module is used to calculate the cumulative coupling coefficient of ecological impact based on the initial ecological disturbance coefficient of forest land operation obtained by the initial disturbance coefficient calculation module, the proportion collected by the multi-source data acquisition module, and the coefficient determined by the coefficient determination module, combined with the spatiotemporal correlation parameters of the initial disturbance and ecological factors. The comprehensive index calculation module is used to calculate the comprehensive index of ecological feasibility of forest land use based on the initial ecological disturbance coefficient of forest land operation obtained by the initial disturbance coefficient calculation module, the cumulative coupling coefficient of ecological impact obtained by the cumulative coupling coefficient calculation module, the proportion collected by the multi-source data acquisition module, and the coefficient determined by the coefficient determination module, combined with the balance parameters of business risk parameters and ecological parameters. The report preparation module is used to prepare a feasibility report on the use of forest land for construction projects and an ecological impact assessment analysis report based on the comprehensive index of ecological feasibility of forest land use obtained by the comprehensive index calculation module.

[0020] The technical effects achieved by the above embodiments include:

[0021] This invention calculates the initial disturbance coefficient by combining the interaction parameters of forest micro-topography complexity and operational intensity, thus overcoming the deficiency of existing technologies that do not consider this interaction and accurately quantifying the degree of ecological disturbance. Through the progressive calculation of spatiotemporal correlation parameters and balancing parameters, it achieves accurate evaluation of the ecological impact throughout the entire cycle, solving the core problem of large deviations in ecological evaluation in the background technology and improving the scientificity and reliability of feasibility report preparation. Attached Figure Description

[0022] Figure 1 A flowchart illustrating the methodology for preparing the feasibility report and conducting ecological assessment of the forest land for this application project.

[0023] Figure 2 This is a system connection diagram for the preparation of the feasibility report and ecological assessment of the forest land for the project in this application. Detailed Implementation

[0024] 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 accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0025] In the existing technology, the preparation of feasibility reports and ecological assessments for forest land construction projects has a core defect: it fails to consider the nonlinear impact of the interaction between the complexity of forest micro-topography and the intensity of operations on ecological disturbance. This results in a significant deviation between the quantitative results of ecological disturbance and the actual situation, making it impossible to accurately reflect the true impact of operations on the forest ecosystem, and thus affecting the scientific nature of the feasibility report and the accuracy of the ecological assessment.

[0026] Based on this, please refer to Figure 1-2 The specific implementation process of the method for preparing a feasibility report and conducting an ecological assessment of forest land for a construction project, as provided in this embodiment, is as follows:

[0027] First, step S1 is executed to collect twelve core parameters corresponding to the construction project. These parameters are: the proportion of forest land operation area to the total forest land area, the proportion of forest land operation duration to the forest land growth cycle, forest land micro-topographic complexity, initial vegetation coverage, ecological corridor connectivity, soil erosion aggravation rate to background erosion, vegetation recovery rate to the growth cycle, forest litter accumulation, distribution density of habitats of ecologically sensitive species, probability of forest pest occurrence, forest fire risk coefficient, and forest land carbon sink loss rate. These parameters cover core dimensions such as operation spatiotemporal characteristics, forest land ecological background, ecological disturbance correlation, and business risks, and provide basic data support for subsequent precise quantification. Next, step S2 is executed to determine the differentiation coefficients. Based on the different attributes of the forest land and the characteristics of the operations, corresponding coefficients are determined. Specifically, the forest land type coefficient is determined according to the specific category of the forest land; the operation intensity coefficient matches the corresponding operation type; the micro-topographic synergy coefficient and synergy index are derived based on the interaction between forest micro-topographic complexity and operation intensity, used to characterize the intensity and nonlinear characteristics of their interaction; the vegetation growth state regulation coefficient is related to the vegetation growth state; the habitat protection coefficient corresponds to the level of ecologically sensitive species; and the fire prevention level coefficient matches the forest fire risk level. These differentiated coefficient settings ensure that the degree of influence of different factors is accurately represented. Following this, step S3 is executed to calculate the initial ecological disturbance coefficients for forest land operations. This step is based on the proportional parameters collected in S1 and the coefficients determined in S2, focusing on the interaction parameters between forest micro-topographic complexity and operation intensity. Through specific calculation logic, the initial disturbance coefficients are derived, quantifying the initial ecological disturbance of the operations. Next, step S4 is executed to calculate the cumulative coupling coefficient of ecological impact. This involves using the initial disturbance coefficient obtained in S3, combining it with the proportional parameters collected in S1, the coefficients determined in S2, and the spatiotemporal correlation parameters between the initial disturbance and ecological factors to quantify the cumulative impact of the initial disturbance's synergistic effect with ecological factors in the spatiotemporal dimension. Then, step S5 is executed to calculate the comprehensive ecological feasibility index for forest land use. This integrates the initial disturbance coefficient from S3, the cumulative coupling coefficient from S4, the proportional parameters from S1, and the coefficients from S2, along with the balancing parameters of business risk parameters and ecological parameters, to achieve a comprehensive quantification of forest land use feasibility. Finally, step S6 is executed to prepare a feasibility report for the use of forest land for the construction project and an ecological impact assessment analysis report based on the comprehensive feasibility index obtained in S5. The core innovation of this technical solution lies in the construction of a three-step progressive calculation logic, which systematically incorporates the interaction between the complexity of forest micro-topography and the intensity of operations into the core evaluation system. This breaks through the limitations of traditional single-factor quantification and achieves accurate quantification of ecological impact through the synergistic linkage of multi-dimensional parameters and differential coefficients. This provides reliable data support for the preparation of feasibility reports and ensures that the evaluation results can truly reflect the impact of operations on the forest ecosystem.

[0028] In existing technologies, the methods for collecting data required for forest land evaluation in construction projects are relatively scattered. The collection of different types of parameters lacks a unified and adaptable design, resulting in low data collection efficiency and poor consistency of data from different sources, which affects the accuracy of subsequent calculation results.

[0029] Based on this, the specific implementation method of step S1 in the above-mentioned feasibility report preparation and ecological evaluation method for forest land of construction projects is as follows: For different types of data collection parameters, corresponding professional data collection equipment and systems are adapted. Specifically, the micro-topographic complexity and initial vegetation cover of forest land are collected using drones. Utilizing the aerial photography and mapping capabilities of drones, micro-topographic data of large-scale forest land can be quickly acquired, including slope, aspect, and undulation. Simultaneously, the initial vegetation cover is obtained through image analysis. The proportion of soil erosion intensification rate to background erosion is collected using a total station. Leveraging the high-precision measurement capabilities of the total station, topographic and soil parameters related to soil erosion are accurately obtained, and the proportion of erosion intensification rate is calculated. The proportion of understory litter accumulation and the distribution of habitats of ecologically sensitive species are also collected. Density and forest carbon sink loss rate were collected through field survey equipment using professional ecological survey tools, combined with methods such as quadrat surveys, to ensure the accuracy of these parameters directly related to forest ecological conditions. The probability of forest pest occurrence and forest fire risk coefficient were collected through the forestry business system, directly accessing existing business data from forestry management processes to ensure data timeliness and authority. The proportion of forest land operation area to total forest land area was collected through area measurement devices, using precise area measuring instruments to measure the operation area and the total forest land area before calculating the proportion. The proportion of forest land operation duration to the forest land growth cycle was collected through duration statistics devices, statistically analyzing the actual duration of operations and combining it with the growth cycle data corresponding to the forest land type to calculate the proportion. This implementation method, through characteristic analysis of different types of parameters and targeted adaptation of collection equipment and systems, achieved accurate and efficient collection of various parameters, while ensuring consistency in format and accuracy of data from different sources. This provides high-quality basic data for subsequent coefficient determination and progressive calculation, avoiding quantitative deviations caused by data issues.

[0030] In existing technologies, the determination of correlation coefficients for forest land assessment lacks specificity and is not differentiated according to different forest land attributes and operational attributes. As a result, the coefficients cannot accurately represent the degree of influence of the corresponding factors on the ecology, affecting the reliability of subsequent quantitative results.

[0031] Based on this, the specific implementation method of step S2 in the above-mentioned project forest land feasibility report preparation and ecological evaluation method is as follows: Clarify the correlation logic between various coefficients and their corresponding attributes to achieve differentiated settings. Forest land types include three categories: public welfare forests, commercial forests, and nature reserves. The forest land type coefficient is the weight value corresponding to these three types of forest land. Different forest land types have different ecological sensitivities; public welfare forests and nature reserves have higher ecological sensitivities than commercial forests, and their corresponding forest land type coefficient weights are also correspondingly higher. Forest land operation types include four categories: logging, afforestation, forest stand modification, and boundary demarcation. The operation intensity coefficient is the weight value corresponding to these four types of operations. Different operations have different disturbance intensities to the forest land ecology; logging and forest stand modification have higher disturbance intensities than afforestation and boundary demarcation, and their corresponding operation intensity coefficient weights are also higher. The vegetation growth status adjustment coefficient is the weight value corresponding to the mean of the normalized vegetation index monitored by the UAV. The normalized vegetation index... The mean value reflects the vigor of vegetation growth; vegetation with better growth has a stronger ability to mitigate ecological disturbances, and the corresponding adjustment coefficient weight is lower. The micro-topography synergy coefficient is the weight value corresponding to the interaction between forest micro-topography complexity and operation intensity; the stronger the interaction, i.e., the more complex the micro-topography and the higher the operation intensity, the higher the corresponding synergy coefficient weight. The synergy index is the weight value corresponding to the nonlinear amplification effect of forest micro-topography complexity on operation disturbances; the higher the micro-topography complexity, the more significant the amplification effect on operation disturbances, and the higher the corresponding synergy index weight. The habitat protection coefficient is the weight value corresponding to the level of ecologically sensitive species; the higher the level of sensitive species, the greater the risk of its habitat being affected by operations, and the higher the corresponding protection coefficient weight. The fire prevention level coefficient is the weight value corresponding to the forest fire risk level; the higher the fire risk level, the greater the risk of causing a fire during operations, and the higher the corresponding coefficient weight. This implementation method, by clarifying the correlation logic between various coefficients and corresponding attributes, achieves differentiated and precise setting of coefficients, ensuring that each coefficient can accurately represent the degree of influence of the corresponding factor on the ecology, and providing reliable coefficient support for subsequent progressive calculations.

[0032] In the existing technology, the calculation process of the initial coefficient of ecological disturbance in forest operations does not clearly define the specific composition of the interaction parameters between forest micro-topography complexity and operation intensity, which makes it impossible to accurately quantify the interaction between the two and affects the accuracy of the calculation of the initial disturbance coefficient.

[0033] Based on this, the specific implementation method of step S3 in the above-mentioned feasibility report preparation and ecological evaluation method for forest land of construction projects is as follows: First, clarify the composition logic of the interaction parameters. The interaction parameter between forest land micro-topographic complexity and operation intensity is the product of the synergy exponent of forest land micro-topographic complexity and the micro-topographic synergy coefficient. Among them, the synergy exponent is used to characterize the nonlinear amplification characteristic of micro-topographic complexity on operation disturbance. By taking the forest land micro-topographic complexity as a power of the synergy exponent, the nonlinear amplification effect of increased micro-topographic complexity on operation disturbance can be accurately characterized. The micro-topographic synergy coefficient is used to adjust the intensity of this nonlinear amplification effect and match the actual interaction influence under different combinations of micro-topography and operation intensity. Subsequently, the calculation process for the initial coefficient of ecological disturbance caused by forest operations is as follows: First, the core proportional parameters collected in S1, including the proportion of forest operation area and the proportion of forest operation duration, are multiplied with the basic coefficients determined in S2, including the forest type coefficient and the operation intensity coefficient, to obtain the basic disturbance term. This basic disturbance term characterizes the degree of basic disturbance to the ecology caused by the spatiotemporal characteristics of operations, forest sensitivity, and operation intensity. Then, the basic disturbance term is combined with the above-mentioned interaction parameters, that is, the basic disturbance term is multiplied by 1 and the sum of the interaction parameters to obtain the total disturbance term. The sum of 1 and the interaction parameters is used to characterize the superposition relationship between the basic disturbance and the interaction amplification effect. Finally, the product of the initial vegetation cover and the ecological corridor connectivity collected in S1 is used to balance the total disturbance term to obtain the initial coefficient of ecological disturbance caused by forest operations. The initial vegetation cover and the ecological corridor connectivity constitute the resilience of the forest ecosystem against disturbance. The larger the product of the two, the stronger the ecosystem's ability to resist disturbance, and the more significant the balancing effect on the total disturbance term. This implementation method achieves precise quantification of the interaction between forest micro-topography complexity and operation intensity by clarifying the composition logic of the interaction parameters. At the same time, through the three-order operation of basic disturbance term, interaction superposition, and ecological resilience balance, it ensures that the initial disturbance coefficient can truly and accurately represent the degree of initial disturbance of the operation to the forest ecosystem.

[0034] In existing technologies, the calculation logic of the initial coefficient of ecological disturbance in forest operations is not clear enough, and the range of related parameters involved in the calculation is not specified, resulting in a lack of operability in the calculation process and difficulty in ensuring the consistency of calculation results under different scenarios.

[0035] Based on this, the specific implementation method of step S3 in the above-mentioned feasibility report preparation and ecological evaluation method for forest land in construction projects is as follows: The initial ecological disturbance coefficient for forest land operations is obtained through a pre-set calculation logic. This calculation logic is related to eight core parameters: the proportion of forest land operation area, the proportion of forest land operation duration, forest land type coefficient, operation intensity coefficient, micro-topographic synergy coefficient, forest land micro-topographic complexity, synergy index, initial vegetation cover, and ecological corridor connectivity. To accurately implement this calculation logic, a formula for the initial ecological disturbance coefficient for forest land operations is introduced, specifically:

[0036] ;

[0037] The theoretical basis of this formula is that the quantification of ecological disturbance must follow the core principle that "the degree of disturbance is positively correlated with the spatial and temporal proportion of the operation, forest land sensitivity, and operation intensity, and negatively correlated with the ecosystem's resilience to disturbance." It also needs to consider the nonlinear amplification effect of micro-topography on operational disturbance, conforming to the basic principle in ecology that "ecological disturbance is the result of the synergistic effect of multiple factors." In terms of dimensions, all parameters in the formula are dimensionless proportions or weight values. This represents the proportion of forest land under operation to the total forest land area. This represents the proportion of forest land operation duration to the forest land growth cycle. Represents forest land type coefficient, Represents the work intensity coefficient. Represents the micro-topography synergy coefficient. Represents the complexity of woodland micro-topography. Represents the synergy index. Represents the initial vegetation cover. Representing the connectivity of ecological corridors, various parameters, after being multiplied and divided, still result in a dimensionless value, ensuring dimensional consistency. The logical derivation process is as follows: First, construct the basic disturbance dimension, including the proportion of the work area. Percentage of task duration The product of these factors represents the basic coverage of the operation in space and time, and is the spatiotemporal basis of ecological disturbance; forest type coefficient The ecological sensitivity of different forest land types and the operational intensity coefficient were characterized. The inherent disturbance intensity of different operation types was characterized, and both were related to... and Multiplying the products together, we get This constitutes the basic disturbance term, fully characterizing the initial disturbance potential generated by the combined effects of the operation itself and the basic attributes of the forest land. The second step involves constructing an interactive amplification dimension. The impact of micro-topography on operational disturbance is not linear, but rather exhibits a non-linear amplification trend as the complexity of the micro-topography increases. Therefore, a synergy index is introduced. Coefficient of Micro-topography ,in The nonlinear amplification effect is used to accurately characterize the complexity of micro-topography; the more complex the micro-topography, the greater the amplification effect. The larger the value, the more it has been through The amplification effect becomes more pronounced with each power of 1; To adjust the intensity of this amplification effect, the actual interaction characteristics of micro-topography and operation type in different regions are matched, and the two are multiplied together to obtain... This constitutes an interactive amplification term; adding 1 to the interactive amplification term achieves the superposition of the basic perturbation term and the interactive amplification effect, resulting in... The third step is to construct a balance of ecological resilience, including initial vegetation cover. It serves as a physical protective barrier for forest ecosystems; the higher the vegetation cover, the stronger its buffering capacity against disturbances; ecological corridor connectivity It is a core indicator of the integrity of forest ecosystem functions. The higher the connectivity, the stronger the ecosystem's self-repair and regulation capabilities. The product of the two is... This constitutes the ecological resilience term, which serves as the denominator to balance the total disturbance. Finally, the initial coefficients of the forest land operation ecological disturbance are obtained by dividing the product of the basic disturbance term and the superposition term by the ecological resilience term. The core innovation of this formula lies in systematically incorporating the nonlinear interaction between micro-topography and operational intensity into the ecological disturbance quantification system. This breaks away from the traditional quantification logic of linear superposition of single factors. At the same time, through the balancing design of the ecological resilience term, it ensures that the quantification results can truly reflect the response characteristics of the forest ecosystem to disturbance, achieving accurate quantification of initial ecological disturbance. This is achieved by collecting various dimensionless parameters, substituting them into the formula for calculation, thus obtaining accurate initial disturbance coefficients, laying the foundation for subsequent quantification of cumulative impact.

[0038] In existing technologies, the calculation process of the cumulative coupling coefficient of ecological impact does not clearly define the composition of the spatiotemporal correlation parameters between the initial disturbance and the ecological factors. This results in the inability to accurately quantify the cumulative impact of the initial disturbance on the ecological factors in the spatiotemporal dimension, thus affecting the accuracy of the calculation of the cumulative coupling coefficient.

[0039] Based on this, the specific implementation method of step S4 in the above-mentioned feasibility report preparation and ecological evaluation method for forest land of construction projects is as follows: First, clarify the composition logic of the spatiotemporal correlation parameters of the initial disturbance and ecological factors. The spatiotemporal correlation parameters are the product of the initial ecological disturbance coefficient of forest land operation, the proportion of observation time after the operation, and the influence coefficient of the regulation adjustment of nature reserves. Among them, the initial ecological disturbance coefficient of forest land operation is the basic disturbance source of spatiotemporal cumulative influence; the proportion of observation time after the operation represents the time accumulation dimension of the disturbance influence. The longer the observation time, the more significant the cumulative influence; the influence coefficient of the regulation adjustment of nature reserves represents the moderating effect of spatial attributes on the cumulative influence. If the forest land is involved in the regulation adjustment of nature reserves, its ecological sensitivity is higher, and the intensity of the cumulative influence will also increase accordingly. Subsequently, the calculation process for the cumulative coupling coefficient of ecological impact is as follows: First, the vegetation growth state regulation coefficient is multiplied by the relevant parameters of the proportion of soil erosion aggravation rate and the proportion of forest litter accumulation. Among them, the relevant parameters of the proportion of soil erosion aggravation rate and the proportion of forest litter accumulation characterize the driving effect of ecological factors on cumulative impact through their synergistic effect, thus obtaining the ecological factor driving term. Then, the ecological factor driving term is synergistically calculated with the aforementioned spatiotemporal correlation parameters to obtain the cumulative coupling coefficient of ecological impact. This implementation method, by clarifying the composition logic of spatiotemporal correlation parameters, achieves accurate quantification of the cumulative impact of initial disturbance and ecological factors in the spatiotemporal dimension, ensuring that the cumulative coupling coefficient can truly reflect the long-term cumulative effect of disturbance.

[0040] In existing technologies, the calculation logic of the cumulative coupling coefficient of ecological impact is not clear enough, and the range of related parameters involved in the calculation is not specified, which makes the calculation process lack operability and makes it difficult to ensure the consistency of calculation results under different scenarios.

[0041] Based on this, the specific implementation method of step S4 in the above-mentioned feasibility report preparation and ecological assessment method for forest land of construction projects is as follows: The cumulative coupling coefficient of ecological impact is obtained through a pre-set calculation logic, which is associated with twelve core parameters: vegetation growth status adjustment coefficient, proportion of soil erosion aggravation rate, proportion of vegetation recovery rate, proportion of forest litter accumulation, litter synergy index, distribution density of habitats of ecologically sensitive species, habitat protection coefficient, initial coefficient of ecological disturbance from forest land operations, proportion of observation time after operation, impact coefficient of regulation adjustment of nature reserves, and cumulative effect amplification index. To accurately implement this calculation logic, the formula for the cumulative coupling coefficient of ecological impact is introduced, specifically:

[0042]

[0043] The theoretical basis of this formula is that the accumulation of ecological impacts is a comprehensive result of initial disturbance, spatiotemporal evolution, and the synergistic effects of ecological factors. This aligns with the fundamental ecological principle that "ecosystems' responses to disturbances exhibit cumulative effects and saturation characteristics." That is, over time, the cumulative impact of disturbances gradually approaches the ecosystem's tolerance threshold, showing a saturation trend. In terms of dimensions, all parameters in the formula are dimensionless proportions or weights. Represents the vegetation growth status adjustment coefficient. This represents the proportion of soil erosion intensification rate to background erosion. This represents the proportion of vegetation recovery rate to the growth cycle. This represents the percentage of accumulated forest litter. Represents the litter synergy index, Represents the distribution density of habitats for ecologically sensitive species. Represents the habitat protection coefficient. This represents the initial coefficient of ecological disturbance caused by forest operations. The proportion of observation time after the representative operation is completed to the forest growth cycle. Represents the impact coefficient of the regulation of nature reserves. This represents the amplification index of the cumulative effect. The results of exponential and power function operations remain dimensionless, ensuring dimensional consistency. The logical derivation process is as follows: First, construct the vegetation regulation dimension, including the vegetation growth state regulation coefficient. This characterizes the ability of vegetation growth status to mitigate cumulative effects; the better the vegetation growth status, the stronger its mitigating effect on cumulative processes such as soil erosion and litter decomposition. The smaller the value, the more effectively it can regulate the intensity of cumulative impact. The second step is to construct a dimension of synergistic driving forces of ecological factors, including the proportion of soil erosion intensification rate. Proportion of vegetation restoration rate The ratio of represents the dynamic balance between increased soil erosion and vegetation restoration. Greater than This indicates that the rate of soil erosion is exceeding the rate of vegetation restoration, and the cumulative impact will continue to intensify; the proportion of accumulated forest litter... Litter Synergy Index Power of 1 This characterizes the nonlinear amplification effect of litter on soil erosion; the greater the accumulation of litter, the higher the degree of exposure of the topsoil after decomposition, and the more significant the amplification effect on erosion. The distribution density of habitats of ecologically sensitive species... Habitat protection coefficient Power of 1 This characterizes the nonlinear inhibitory effect of habitat distribution on ecological restoration; the higher the habitat density of sensitive species, the weaker the ecosystem's recovery capacity and the more significant the inhibitory effect on cumulative impacts. The combination of these three factors yields... This constitutes a synergistic driving term of ecological factors, fully characterizing the driving role of ecological factors on cumulative impacts. The third step involves constructing a spatiotemporal cumulative saturation dimension and initial coefficients for ecological disturbance during forest operations. Percentage of observation time after the task is completed Impact coefficient of regulation adjustment of nature reserves product This characterizes the cumulative basis of the initial disturbance in the spatiotemporal dimensions, where This reflects the cumulative effect over time. This demonstrates the moderating effect of spatial sensitivity on accumulation; an exponential function is introduced. To construct the saturation characteristics of the cumulative effect, when When smaller, Approximately equal to The cumulative impact Linear growth, when Increase to a certain extent, When the value approaches 1, the cumulative impact reaches saturation, which aligns with the tolerance threshold of ecosystems; further amplification occurs through the cumulative effect. By strengthening the saturation accumulation effect, we obtain This constitutes the spatiotemporal cumulative saturation term. The fourth step is to construct a comprehensive cumulative coupling dimension, incorporating the vegetation adjustment term. Ecological factors synergistic driving items Spatiotemporal cumulative saturation term Multiplying these three factors together yields the cumulative coupling coefficient of ecological impact. The core innovation of this formula lies in constructing a three-order cumulative quantification logic of "vegetation regulation - ecological factor synergy - spatiotemporal cumulative saturation". At the same time, it introduces an exponential function to characterize the cumulative saturation characteristics, breaking the limitations of traditional linear cumulative quantification and realizing the accurate characterization of the ecological impact accumulation process. The implementation method is to collect various dimensionless parameters and substitute them into the formula to obtain coefficients that can truly reflect the cumulative coupling effect, laying the foundation for subsequent comprehensive feasibility evaluation.

[0044] In existing technologies, the calculation process of the comprehensive index of ecological feasibility for forest land use does not clearly define the composition of business risk parameters and ecological parameter checks and balances, which makes it impossible to accurately quantify the checks and balances between business risks and ecological benefits, thus affecting the accuracy of the comprehensive feasibility assessment.

[0045] Based on this, the specific implementation method of step S5 in the above-mentioned feasibility report preparation and ecological evaluation method for forest land of construction projects is as follows: First, clarify the composition logic of business risk parameters and ecological parameter balancing parameters. The balancing parameter is the product of parameters related to ecological corridor restoration potential and parameters related to the synergistic benefits of rural beautification and greening. Among them, the parameters related to ecological corridor restoration potential represent the self-repair and optimization capacity of forest land ecosystem. The higher the restoration potential, the stronger the balancing effect on business risks. The parameters related to the synergistic benefits of rural beautification and greening represent the ecological added value of forest land utilization. The higher the synergistic benefits, the better the negative impact of business risks can be balanced. Subsequently, the calculation process for the comprehensive ecological feasibility index of forest land use is as follows: First, the multi-source data fusion weighting coefficient is correlated with business risk parameters and the cumulative coupling coefficient of ecological impact to obtain a comprehensive term of business risk and cumulative impact. The business risk parameters are synergistic terms of parameters such as the probability of forest pest occurrence, forest fire risk coefficient, and forest land carbon sink loss rate. The multi-source data fusion weighting coefficient is used to adjust the reliability weights of data from different sources. Next, this comprehensive term is balanced with the aforementioned balancing parameters, i.e., the basic feasibility term is obtained by subtracting the ratio of the comprehensive term to the balancing parameters from 1. Finally, the comprehensive ecological feasibility index of forest land use is obtained by adjusting the multi-source data fusion weighting coefficient. This implementation method, by clarifying the composition logic of the balancing parameters, achieves accurate quantification of the balance between business risk and ecological benefits, ensuring that the comprehensive feasibility index can truly reflect the feasibility of forest land use.

[0046] The existing technology lacks a system that is compatible with the methods for preparing feasibility reports and conducting ecological assessments of the forest land for the aforementioned construction projects. This makes it impossible to effectively implement the method, and the relevant assessment work still needs to be completed manually, which is inefficient and prone to errors.

[0047] Based on this, this embodiment provides a specific implementation method for a feasibility report preparation and ecological evaluation system for forest land in construction projects, as follows: This system is specifically designed to execute any of the aforementioned methods for preparing feasibility reports and conducting ecological evaluations of forest land in construction projects. Its core component is a multi-source data acquisition module. The core function of this module is to collect twelve core parameters corresponding to the construction project, specifically including: the proportion of forest land operation area to the total forest land area; the proportion of forest land operation duration to the forest land growth cycle; forest land micro-topographic complexity; initial vegetation cover; ecological corridor connectivity; the proportion of soil erosion intensification rate to background erosion; the proportion of vegetation recovery rate to the growth cycle; the proportion of forest litter accumulation; the distribution density of habitats of ecologically sensitive species; the probability of forest pest occurrence; the forest fire risk coefficient; and the forest land carbon sink loss rate. This module, through preset interfaces and drivers, achieves collaborative linkage with various acquisition devices and systems. It can automatically receive and integrate data from different sources, and simultaneously perform preliminary data preprocessing to ensure the uniformity and integrity of the data format, providing directly usable basic data for subsequent steps such as coefficient determination and progressive calculation. The design of this system module has automated and standardized data collection, solving the problems of low efficiency and large errors in traditional manual data collection, and providing core hardware and software support for the implementation of the above evaluation methods.

[0048] In existing technologies, the system modules adapted to the feasibility report preparation and ecological evaluation methods for forest land in construction projects are not fully complete and do not cover the functions required for the entire process of the method. This results in the inability of the various steps of the method to be executed collaboratively through the system, affecting the efficiency and accuracy of the evaluation work.

[0049] Based on this, the specific implementation method of the above-mentioned forest land feasibility report preparation and ecological evaluation system is as follows: Based on the multi-source data acquisition module, the system adds a coefficient determination module, an initial disturbance coefficient calculation module, a cumulative coupling coefficient calculation module, a comprehensive index calculation module, and a report preparation module. These modules are interconnected via a data bus. The specific implementation logic is as follows: The coefficient determination module determines various differentiated coefficients based on different attributes and characteristics. It receives relevant data from the multi-source data acquisition module, such as forest land type, operation type, vegetation growth status, ecologically sensitive species level, and forest fire risk level, and determines the forest land type coefficient, operation intensity coefficient, micro-topography synergy coefficient, synergy index, vegetation growth status adjustment coefficient, habitat protection coefficient, and fire risk level coefficient, respectively. The determined coefficients are then output to the subsequent calculation modules. The initial disturbance coefficient calculation module calculates the initial ecological disturbance coefficient for forest land operations. It receives relevant proportional parameters from the multi-source data acquisition module and relevant coefficients from the coefficient determination module, combines them with preset interactive parameters to form logic, calculates the initial ecological disturbance coefficient for forest land operations, and outputs it to the cumulative coupling coefficient calculation module. The system comprises two modules: a cumulative coupling coefficient calculation module and a comprehensive index calculation module. The cumulative coupling coefficient calculation module calculates the cumulative coupling coefficient of ecological impact. It receives the initial disturbance coefficient from the initial disturbance coefficient calculation module, the relevant proportional parameters from the multi-source data acquisition module, and the relevant coefficients from the coefficient determination module. Combining these with preset spatiotemporal correlation parameters, it calculates the cumulative coupling coefficient of ecological impact and outputs it to the comprehensive index calculation module. The comprehensive index calculation module calculates the comprehensive index of ecological feasibility for forest land use. It receives the initial disturbance coefficient from the initial disturbance coefficient calculation module, the cumulative coupling coefficient from the cumulative coupling coefficient calculation module, the relevant proportional parameters from the multi-source data acquisition module, and the relevant coefficients from the coefficient determination module. Combining these with preset check and balance parameters, it calculates the comprehensive index of ecological feasibility for forest land use and outputs it to the report compilation module. The report compilation module compiles relevant reports. It receives the comprehensive feasibility index from the comprehensive index calculation module, integrates the relevant data from the multi-source data acquisition module and each calculation module, and automatically generates a feasibility report for the use of forest land in a construction project and an ecological impact assessment analysis report. Through its complete module setup, the system enables fully automated and collaborative execution of each step of the aforementioned evaluation method, ensuring that the method can be implemented efficiently and accurately, and significantly improving the efficiency and accuracy of forest land feasibility assessment.

[0050] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for preparing a feasibility report and conducting an ecological assessment of forest land for a construction project, characterized in that, Includes the following steps: S1. Collect data on the following parameters: the proportion of forest land operation area corresponding to the construction project to the total forest land area, the proportion of forest land operation duration to the forest land growth cycle, the complexity of forest land micro-topography, the initial vegetation coverage, the connectivity of ecological corridors, the proportion of soil erosion intensification rate to background erosion, the proportion of vegetation recovery rate to the growth cycle, the proportion of forest litter accumulation, the distribution density of habitats of ecologically sensitive species, the probability of occurrence of forest pests, the forest fire risk coefficient, and the forest land carbon sink loss rate. S2. Determine the forest land type coefficient based on forest land type, the operation intensity coefficient based on forest land operation type, the micro-topography synergy coefficient and synergy index based on the interaction between forest land micro-topography complexity and operation intensity, the vegetation growth status regulation coefficient based on vegetation growth status, the habitat protection coefficient based on the level of ecologically sensitive species, and the fire prevention level coefficient based on the forest fire risk level. S3. Based on the proportion collected in S1 and the coefficients determined in S2, and combined with the interaction parameters of forest micro-topography complexity and operation intensity, calculate the initial coefficient of ecological disturbance of forest operation. S4. Based on the initial ecological disturbance coefficient of forest land operation obtained in S3, the proportion collected in S1, and the coefficient determined in S2, and combined with the spatiotemporal correlation parameters of the initial disturbance and ecological factors, calculate the cumulative coupling coefficient of ecological impact. S5. Based on the initial ecological disturbance coefficient of forest land operation obtained in S3, the cumulative coupling coefficient of ecological impact obtained in S4, the proportion collected in S1, and the coefficient determined in S2, and combined with the balance parameters of business risk parameters and ecological parameters, calculate the comprehensive index of ecological feasibility of forest land use. S6. Based on the comprehensive ecological feasibility index of forest land use obtained in S5, prepare a feasibility report and an ecological impact assessment analysis report for the use of forest land in the construction project.

2. The method for preparing feasibility reports and conducting ecological assessments of forest land for construction projects as described in claim 1, characterized in that, In S1, drones were used to collect data on the micro-topographic complexity of forest land and the initial vegetation cover. Total stations were used to collect data on the proportion of soil erosion intensification rate to background erosion. Field survey equipment was used to collect data on the proportion of forest litter accumulation, the distribution density of habitats of ecologically sensitive species, and the forest land carbon sink loss rate. The forestry business system was used to collect data on the probability of forest pest occurrence and the forest fire risk coefficient. Area measurement devices were used to collect data on the proportion of forest land operation area to the total forest land area. Duration statistics devices were used to collect data on the proportion of forest land operation duration to the forest land growth cycle.

3. The method for preparing feasibility reports and conducting ecological assessments of forest land for construction projects as described in claim 1, characterized in that, In S2, forest land types include public welfare forests, commercial forests, and nature reserves, and the forest land type coefficient is the weight value corresponding to the forest land type; forest land operation types include logging, afforestation, forest stand transformation, and boundary demarcation, and the operation intensity coefficient is the weight value corresponding to the operation type; the vegetation growth status adjustment coefficient is the weight value corresponding to the mean of the normalized vegetation index monitored by UAV. The micro-topography synergy coefficient is the interaction weight value between forest micro-topography complexity and operation intensity; the synergy index is the nonlinear amplification weight value of forest micro-topography complexity on operation disturbance; the habitat protection coefficient is the weight value corresponding to the ecologically sensitive species level; The fire prevention level coefficient is the weighted value corresponding to the forest fire risk level.

4. The method for preparing a feasibility report and conducting an ecological assessment of forest land for a construction project as described in claim 1, characterized in that, In S3, the interaction parameter between forest micro-topographic complexity and operation intensity is the product of the synergy exponent of forest micro-topographic complexity and the micro-topographic synergy coefficient; the initial coefficient of ecological disturbance of forest operation is the product of the core proportion collected in S1 and the basic coefficient determined in S2, and is calculated in combination with the interaction parameter.

5. The method for preparing feasibility reports and conducting ecological assessments of forest land for construction projects as described in claim 4, characterized in that, In S3, the initial coefficient of ecological disturbance of forest land operation is obtained through the preset calculation logic of the initial coefficient of ecological disturbance of forest land operation. The calculation logic is related to the proportion of forest land operation area, the proportion of forest land operation duration, forest land type coefficient, operation intensity coefficient, micro-topography synergy coefficient, forest land micro-topography complexity, synergy index, initial vegetation coverage, and ecological corridor connectivity.

6. The method for preparing feasibility reports and conducting ecological assessments of forest land for construction projects as described in claim 5, characterized in that, In S4, the spatiotemporal correlation parameter between the initial disturbance and ecological factors is the product of the initial ecological disturbance coefficient of forest land operation, the proportion of observation time after the operation, and the influence coefficient of regulation adjustment of nature reserves. The cumulative coupling coefficient of ecological impact is calculated by multiplying the vegetation growth status regulation coefficient with the proportion of soil erosion intensification rate and the proportion of forest litter accumulation, combined with spatiotemporal correlation parameters.

7. The method for preparing feasibility reports and conducting ecological assessments of forest land for construction projects as described in claim 6, characterized in that, In S4, the cumulative coupling coefficient of ecological impact is obtained through a preset calculation logic of the cumulative coupling coefficient of ecological impact. The calculation logic is associated with the vegetation growth status adjustment coefficient, the proportion of soil erosion intensification rate, the proportion of vegetation recovery rate, the proportion of forest litter accumulation, the litter synergy index, the distribution density of habitats of ecologically sensitive species, the habitat protection coefficient, the initial coefficient of ecological disturbance of forest land operation, the proportion of observation time after operation, the impact coefficient of regulation of nature reserves, and the cumulative effect amplification index.

8. The method for preparing a feasibility report and conducting an ecological assessment of forest land for a construction project as described in claim 7, characterized in that, In S5, the balancing parameter between business risk parameters and ecological parameters is the product of the parameters related to the potential for ecological corridor restoration and the parameters related to the synergistic benefits of rural beautification and greening; the comprehensive index of ecological feasibility for forest land use is the result of the correlation calculation between the multi-source data fusion weight coefficient and the cumulative coupling coefficient of business risk parameters and ecological impact, combined with the balancing parameter.

9. A system for preparing feasibility reports and conducting ecological assessments of forest land for construction projects, characterized in that, The system is used to perform the method for preparing feasibility reports and conducting ecological assessments of forest land for construction projects as described in any one of claims 1 to 8. The system includes a multi-source data acquisition module, which is used to collect data on the following: the proportion of forest land operation area corresponding to the construction project to the total forest land area; the proportion of forest land operation duration to the forest land growth cycle; the complexity of forest land micro-topography; the initial vegetation coverage; the connectivity of ecological corridors; the proportion of soil erosion intensification rate to background erosion; the proportion of vegetation recovery rate to the growth cycle; the proportion of forest litter accumulation; the distribution density of habitats of ecologically sensitive species; the probability of occurrence of forest pests; the forest fire risk coefficient; and the forest land carbon sink loss rate.

10. The project forest land feasibility report preparation and ecological evaluation system as described in claim 9, characterized in that, The system also includes a coefficient determination module, an initial disturbance coefficient calculation module, a cumulative coupling coefficient calculation module, a comprehensive index calculation module, and a report compilation module. The coefficient determination module is used to determine forest land type coefficients based on forest land type, operation intensity coefficients based on forest land operation type, micro-topography synergy coefficients and synergy indices based on the interaction between forest land micro-topography complexity and operation intensity, vegetation growth status adjustment coefficients based on vegetation growth status, habitat protection coefficients based on ecologically sensitive species levels, and fire prevention level coefficients based on forest fire risk levels. The initial disturbance coefficient calculation module is used to calculate the initial ecological disturbance coefficient of forest land operations based on the proportion collected by the multi-source data acquisition module, the coefficients determined by the coefficient determination module, and the interaction parameters between forest land micro-topography complexity and operation intensity. The cumulative coupling coefficient calculation module is used to calculate the cumulative coupling coefficient of ecological impact based on the initial ecological disturbance coefficient of forest land operation obtained by the initial disturbance coefficient calculation module, the proportion collected by the multi-source data acquisition module, and the coefficient determined by the coefficient determination module, combined with the spatiotemporal correlation parameters of the initial disturbance and ecological factors. The comprehensive index calculation module is used to calculate the comprehensive index of ecological feasibility of forest land use based on the initial ecological disturbance coefficient of forest land operation obtained by the initial disturbance coefficient calculation module, the cumulative coupling coefficient of ecological impact obtained by the cumulative coupling coefficient calculation module, the proportion collected by the multi-source data acquisition module, and the coefficient determined by the coefficient determination module, combined with the balance parameters of business risk parameters and ecological parameters. The report preparation module is used to prepare a feasibility report on the use of forest land for construction projects and an ecological impact assessment analysis report based on the comprehensive index of ecological feasibility of forest land use obtained by the comprehensive index calculation module.

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