River ecological corridor boundary determination method, device and storage medium

Abstract

The present application provides a kind of river ecological corridor boundary determination method, equipment and storage medium, comprising: obtaining the species and density of the land-based organism and aquatic organism that commonly inhabits in the management range of river channel in study area, and the biomass, determines the key indicator species of land-based organism and aquatic organism in study area respectively;Determine the demand of key indicator species;Obtain the relationship curve of river corridor boundary-key indicator species diversity;Construct the two-dimensional habitat model of regional-typical river section, obtain the spatial distribution and migration path information of each key indicator species in river ecological system;Preliminarily determine the threshold of river ecological corridor boundary;Determine the aquatic corridor boundary of river ecological corridor;Determine the land corridor boundary of river ecological corridor;Determine the river ecological corridor boundary based on the aquatic corridor boundary and land corridor boundary of river ecological corridor.The determination method provided by the present application can more reasonably and quickly determine the river ecological corridor boundary.

Description

Technical Field

[0001] This invention relates to the field of river and lake ecological restoration technology, and in particular to a method, device and storage medium for determining the boundary of a river ecological corridor. Background Technology

[0002] Ecological corridors, largely consistent with the concept of "green corridors," are a specific representation of the patch concept in landscape ecology, often manifesting as linear or strip-shaped landscape ecological spatial systems within the ecological environment. River ecological corridors refer to the river itself and the vegetation zones along its banks that differ from the surrounding substrate, including the river channel, floodplain, riparian vegetation, and parts of highlands. They function to promote biological dispersal and migration, enhance biodiversity, prevent soil erosion, and regulate microclimates. However, under the backdrop of strong human interference such as water resource development and urbanization, the structure and function of river ecosystems have been damaged, and biodiversity has significantly declined. Ensuring a reasonable ecological corridor extent is an effective means of protecting and restoring biodiversity; however, existing methods often neglect the ecological needs of key species, resulting in less than ideal actual protection effects of ecological corridors.

[0003] Therefore, a method, equipment, and storage medium for determining the boundaries of river ecological corridors are needed 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, device and storage medium for determining the boundary of a river ecological corridor, so as 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 determining the boundary of a river ecological corridor, the method comprising: Based on the integrated air-space-ground ecological monitoring system of the study area, relevant literature review, historical data and / or expert consultation information, the species, density and biomass of terrestrial and aquatic organisms that commonly inhabit the river management area of ​​the study area were obtained, and the key indicator species of terrestrial and aquatic organisms in the study area were determined based on the key indicator species screening index. Based on the habitat types, food chains, and food webs required for different life stages, the needs of key indicator species are determined. Based on historical data of river corridor width, key indicator species density and biomass, the relationship curve between river corridor boundary and key indicator species diversity was obtained; Based on the topographic and hydrological data of the study area, and combined with the requirements of the key indicator species, a two-dimensional habitat model of the region and typical river sections was constructed, and the spatial distribution and migration path information of each key indicator species in the river ecosystem were obtained based on the two-dimensional habitat model. Based on the relationship curve between the river corridor boundary and the diversity of key indicator species, and the spatial distribution and migration path information of each key indicator species in the river ecosystem, with the goal of improving biodiversity and the constraint of unobstructed migration paths, the threshold of the river ecological corridor boundary is initially determined. The quantitative relationship between river surface area and suitable habitat area for key indicator species of aquatic organisms was obtained, and the aquatic corridor boundary of river ecological corridor was determined based on the condition of maximizing suitable habitat area at different life stages. Establish the link between threat factors generated by human activities and terrestrial habitat quality, obtain the distribution characteristics of terrestrial habitat quality in the study area, and determine the terrestrial corridor boundary of the river ecological corridor when the rate of change of the distribution characteristics of terrestrial habitat quality in the study area is lower than the preset value. Based on the water corridor boundary and land corridor boundary of the river ecological corridor, and combined with the river ecological corridor boundary threshold, the river ecological corridor boundary is finally determined.

[0006] Secondly, embodiments of the present invention also provide a device for determining the boundary of a river ecological corridor, the device comprising: Memory is used to store executable instructions for a computer; A method for determining the implementation of the above-mentioned technical solution when a processor executes computer-executable instructions stored in the memory.

[0007] 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 determination method of the above-described technical solution.

[0008] According to the determination method of the present invention, by taking into account the needs of key indicator species and utilizing the relationship curve between river corridor boundary and key indicator species diversity, spatial distribution and migration path information of each key indicator species in the river ecosystem, the boundary of the river ecological corridor can be determined reasonably and quickly, ensuring a reasonable ecological corridor range and improving the actual protection effect of the river ecological corridor.

[0009] 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.

[0010] 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

[0011] 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: Figure 1 This is a flowchart of a determination method according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the ecological flow process line in the determination method according to an embodiment of the present invention; Figure 3 To determine the explanatory power of the landscape pattern factors of the Wenyu River ecological corridor on the overall bird population in the method according to an embodiment of the present invention; Figure 4 A two-dimensional habitat model topographic map in a determination method according to an embodiment of the present invention; Figure 5 This is a schematic diagram illustrating the quantitative relationship between river surface area and suitable habitat area for sweetfish populations in a determination method according to an embodiment of the present invention. Figure 6 This is a curve showing the relationship between the area of ​​suitable habitat for ayu populations and river flow in a method for determining this species according to an embodiment of the present invention. Figure 7 This is a schematic diagram illustrating the changes in river corridors under different flow rates in a determination method according to an embodiment of the present invention; Figure 8 This is a schematic diagram of a determining device according to an embodiment of the present invention; Figure 9 This is a schematic diagram of a determination system according to an embodiment of the present invention. Detailed Implementation

[0012] 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.

[0013] 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.

[0014] 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.

[0015] 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.

[0016] 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.

[0017] First, refer to Figure 1 This application describes a method 100 for determining the boundary of a river ecological corridor according to an embodiment of the present application. For example... Figure 1 As shown, the determination method 100 may include steps S110 to S180, as detailed below: In step S110, based on the integrated air-space-ground ecological monitoring system of the study area, relevant literature review, historical data and / or expert consultation information, the species, density and biomass of terrestrial and aquatic organisms that commonly inhabit the river management area of ​​the study area are obtained, and the key indicator species of terrestrial and aquatic organisms in the study area are determined based on the key indicator species screening index.

[0018] In step S120, the needs of key indicator species are determined based on the habitat types, food chains and food webs required for different life cycles.

[0019] In step S130, based on historical data of river corridor width, key indicator species density and biomass, the relationship curve between river corridor boundary and key indicator species diversity is obtained.

[0020] In step S140, based on the topography and hydrological data of the study area and the requirements of the key indicator species, a two-dimensional habitat model of the region and typical river section is constructed, and the spatial distribution and migration path information of each key indicator species in the river ecosystem are obtained based on the two-dimensional habitat model.

[0021] In step S150, based on the relationship curve between the river corridor boundary and the diversity of key indicator species and the spatial distribution and migration path information of each key indicator species in the river ecosystem, with the goal of improving biodiversity and the constraint of not blocking migration paths, the threshold of the river ecological corridor boundary is initially determined.

[0022] In step S160, the quantitative relationship between the river surface area and the suitable habitat area of ​​key indicator species of aquatic organisms is obtained. The aquatic corridor boundary of the river ecological corridor is determined based on the condition that the suitable habitat area is maximized at different life stages.

[0023] In step S170, a connection is established between threat factors generated by human activities and terrestrial habitat quality to obtain the distribution characteristics of terrestrial habitat quality in the study area. When the rate of change of the distribution characteristics of terrestrial habitat quality in the study area is lower than a preset value, the terrestrial corridor boundary of the river ecological corridor is determined.

[0024] In step S180, the river ecological corridor boundary is finally determined based on the water corridor boundary and land corridor boundary of the river ecological corridor, combined with the river ecological corridor boundary threshold.

[0025] In the embodiments of this application, firstly, the species, density, and biomass of terrestrial and aquatic organisms that commonly inhabit the river management area in the study area are obtained through various monitoring and survey methods. Based on the key indicator species screening index, the key indicator species for terrestrial and aquatic organisms in the study area are determined, and the key indicator species requirements are determined. Then, the relationship curve between river corridor boundary and key indicator species diversity is obtained. Next, a two-dimensional habitat model of the region and typical river section is constructed. Based on the two-dimensional habitat model, the spatial distribution and migration path information of each key indicator species in the river ecosystem are obtained. Then, based on the relationship curve between river corridor boundary and key indicator species diversity and the spatial distribution and migration path information of each key indicator species in the river ecosystem, with the goal of improving biodiversity and with the restriction of unobstructed migration paths, the threshold of the river ecological corridor boundary is initially determined. Then, the aquatic corridor boundary and terrestrial corridor boundary of the river ecological corridor are obtained respectively. Finally, the river ecological corridor boundary is determined by combining the river ecological corridor boundary threshold.

[0026] As can be seen from the above description of the process, the determination method 100 according to the embodiments of this application can reasonably and quickly determine the boundary of the river ecological corridor by taking into account the needs of key indicator species, thus ensuring a reasonable ecological corridor range and improving the actual protection effect of the river ecological corridor.

[0027] Among them, Figure 1 Steps S110 to S180 are shown to be performed sequentially, but this is only an example. It is understood that the order of some steps is not restricted. For example, step S170 may precede step S160, or the two may be performed concurrently.

[0028] The following will describe in detail the contents of the above steps of the determination method 100 according to the embodiments of this application.

[0029] In the embodiments of this application, step S110 obtains the species, density, and biomass of terrestrial and aquatic organisms that commonly inhabit the river management area in the study area based on the integrated sky-space-ground ecological monitoring system of the study area, relevant literature surveys, historical data, and / or expert consultation information, and determines the key indicator species of terrestrial and aquatic organisms in the study area based on the key indicator species screening index.

[0030] Specifically, based on standards such as the "Technical Guidelines for Water Ecological Monitoring: Monitoring and Evaluation of Aquatic Organisms in Rivers (Trial)" (HJ1295—2023), the "Technical Guidelines for Remote Sensing Survey of Biodiversity (Terrestrial Ecosystems)," and the "Technical Guidelines for River and Lake Ecosystem Protection and Restoration Engineering," and through an integrated air-space-ground ecological monitoring system, relevant literature review, historical data analysis, and expert consultation, the study clarified the species, density, and biomass of terrestrial and aquatic organisms that commonly inhabit the river management area within the research area. Ecological monitoring can be mainly divided into the monitoring of riparian vegetation, riparian animals, aquatic plants, and aquatic animals.

[0031] Among them, monitoring through the integrated air-space-ground ecological monitoring system generally includes using satellite remote sensing technology to monitor the type, structure and function of the entire watershed ecosystem in the study area; and using drones and RTK (Real-time kinematic) for monitoring at the river section scale and geomorphic unit scale.

[0032] The selection of riparian vegetation monitoring sections should comprehensively consider ecological functional zoning, hydrological characteristics, vegetation type, land use change, and the impact of human activities to ensure that representative areas are selected to reflect the health status of the ecosystem. The selection of riparian animal monitoring sections requires comprehensive consideration of habitat type (e.g., water boundaries, wetlands, vegetation zones), hydrological changes (e.g., water level fluctuations, seasonal wetlands), climatic conditions, and human disturbance, while also emphasizing species diversity and ecological functional zoning to comprehensively assess the dynamic changes of animal communities. The selection of aquatic plant monitoring sections should comprehensively consider water type, hydrological characteristics (e.g., water level fluctuations, flow velocity), water quality (e.g., eutrophication level), vegetation type and distribution, and the impact of human activities to ensure that the monitoring points represent the typical characteristics of the aquatic ecosystem. The selection of aquatic animal monitoring sections should pay special attention to water body type, hydrological characteristics, water quality conditions, habitat diversity, and the impact of human activities. It is important to select representative habitats, such as areas with significant water flow changes, water bodies affected by eutrophication or pollution, and ecologically important wetlands and water transition zones, so as to provide a scientific basis for ecological protection and restoration.

[0033] Then, based on screening principles such as rarity and endangerment, importance, and economic value, a key indicator species screening index system was constructed (see Table 1). Specific screening conditions can be adjusted and supplemented according to actual conditions. Finally, key indicator species in the study area were screened using various methods such as the analytic hierarchy process (AHP) and factor analysis. The analytic hierarchy process (AHP) is a multi-criteria decision-making method used for optimal selection in complex situations. For example, when screening fish, a hierarchical structure is first constructed to determine the target and screening criteria (such as habitat, economic value, and distribution range). Then, a judgment matrix can be established through expert evaluation to calculate the weight of each criterion. Next, the fish species are comprehensively evaluated and ranked based on their weight values, and the fish with the highest score is finally selected. This method helps decision-makers clarify the priority of each factor and make reasonable choices. For example, in the study of target fish selection based on ecological flow in the Huai River main stream, the analytic hierarchy process was used, combined with the target fish screening principles supplemented in Table 1, to construct a target fish judgment matrix (see Table 2). The calculation results show that the bream has the highest ranking weight, therefore it is believed that the bream can better represent the habitat requirements of Huai River fish and has strong ecological representativeness. For example, taking the Hutuo River as an example, combining eDNA technology with the analytic hierarchy process (AHP) successfully screened four target fish species. Based on the different life cycle ecological habits of these four fish species, the relationship between habitat requirements and ecological flow was explored, and an ecological flow process curve for the study area was constructed (see reference). Figure 2 ).

[0034] Table 1. Selection Principles for Key Species in Terrestrial and Aquatic Areas Table 2 Target Fish Species Judgment Matrix of Huaihe River Mainstream In the embodiments of this application, step S120 determines the requirements of key indicator species based on the habitat types, food chains, and food webs required for different life cycles.

[0035] Specifically, through behavioral experiments and literature reviews of key indicator species, we quantitatively clarify the habitat types required for different life stages, as well as suitability preference curves for water temperature, water flow, and food resources. By observing and recording the behavioral patterns of key indicator species under different environmental conditions and combining this with existing research findings in the literature, we can more accurately understand the needs of these species. Furthermore, we introduce a complex food web theory model to comprehensively consider the needs of key species and identify their positions in the food chain and food web. For example, the Mulanxi River basin is home to the rare and endangered ayu (sweetfish). The life cycle of this fish can be divided into anadromous migration (March-May), fattening (June-August), spawning (September-October), descent (November-December), and overwintering (January-February). The required habitat types and diets differ at each stage of the life cycle. During anadromous migration, ayu requires a fast-flowing and shallow environment; during fattening, it needs abundant food resources to accumulate energy; and during spawning, it needs suitable breeding grounds and an environment to protect the juveniles. Taking the Hutuo River, which lacks rare and endemic fish species, as an example, the ecological flow process of the Hutuo River was explored based on the water depth (H) and flow velocity (V) requirements of the representative fish, silver carp, at different life stages (see Table 3).

[0036] Table 3. Suitable water depth and current velocity for silver carp at different life stages In an embodiment of this application, step S130 involves obtaining a relationship curve between river corridor boundary and key indicator species diversity based on historical data of river corridor width, key indicator species density, and biomass.

[0037] Specifically, based on historical data such as river corridor width, key indicator species density, and biomass, mathematical statistical methods such as linear regression, correlation analysis, and redundancy analysis were used to fit and analyze the relationship curve between river corridor boundaries and key indicator species diversity. Linear regression helps to clarify the linear relationship between river corridor width and key indicator species diversity; while correlation analysis can reveal whether there are other nonlinear associations between the two. Redundancy analysis (RDA) combines multiple regression analysis and principal component analysis (PCA) to explore the relationship between multiple response variables (e.g., species abundance) and one or more sets of explanatory variables (e.g., environmental factors). Through this method, RDA can effectively identify the multidimensional impact of environmental factors on species abundance changes, thus providing a strong quantitative basis for ecological management. For example, taking the Wenyu River ecological corridor in Beijing as an example, the correlation between bird species composition characteristics and multi-scale environmental factors was analyzed using redundancy analysis (RDA). The results showed that landscape pattern environmental factors within 50-200m had the highest explanatory power for the overall bird species composition within the corridor. Figure 3 .

[0038] In the embodiments of this application, in step S140, based on the topography and hydrological data of the study area and combined with the requirements of the key indicator species, a two-dimensional habitat model of the region and typical river section is constructed, and the spatial distribution and migration path information of each key indicator species in the river ecosystem are obtained based on the two-dimensional habitat model.

[0039] Specifically, based on historical data analysis, monitoring and analysis of regional topography, hydrology, and other data are conducted. The needs of key species are comprehensively considered to generate their suitability preference curves. Subsequently, a two-dimensional habitat model of the region and typical river sections is constructed (see [link to relevant documentation]). Figure 4 This study quantitatively analyzes the spatial distribution and migration paths of different species in river ecosystems. Taking the Mulan River in Fujian Province as an example, using the endangered ayu (sweetfish) as a key indicator species, and combining collected and analyzed topographic, hydrodynamic, and other data, a two-dimensional hydrodynamic model was used to simulate and analyze the distribution of water depth and velocity under different hydrological conditions. Based on the needs of the target fish species, a fish suitability index was constructed using Matlab software, and the quantitative relationship between water surface area and suitable habitat area for the ayu population was visually displayed using ArcGIS software. Figure 5 ).

[0040] In the embodiments of this application, in step S150, based on the relationship curve between the river corridor boundary and the diversity of key indicator species and the spatial distribution and migration path information of each key indicator species in the river ecosystem, with the goal of improving biodiversity and with the restriction of unblocked migration paths, the threshold of the river ecological corridor boundary is initially determined.

[0041] Specifically, taking the Mulan River in Fujian Province as an example, when Q=56m 3 / s is when the suitable habitat area for sweetfish is the largest ( Figure 6 The changes in river corridors under different flow rates were visually displayed using ArcGIS software. Figure 7 ), and initially determine its suitable boundaries.

[0042] Following the previous text, river ecological corridors can be divided into aquatic and terrestrial components. Based on the restoration of biodiversity in the study area, and taking into account the sustainability of socio-economic development and the attainability of water quality targets, this study systematically analyzes factors such as flood pulses, hydrodynamic circulation, pollutant self-purification, land use changes, and urban construction in the river corridor. Adhering to the three principles of "ecological green, intensive and coordinated, and sustainable development," a multi-objective optimization algorithm is adopted to balance the needs of ecological protection and economic development. Combining ArcGIS software and the InVEST model toolset, the boundary of the river ecological corridor is optimized and adjusted qualitatively and quantitatively.

[0043] The boundaries of the water area change dynamically under different flow rates. Changes in hydrological characteristics such as river depth and velocity under different flow conditions directly affect the spatial distribution, reproduction, habitat, survival, and migration routes of different species within the water area. Therefore, to determine the boundaries of river ecological corridors, the water corridor boundaries and terrestrial corridor boundaries can be determined separately, specifically including steps S160 and S170.

[0044] In the embodiments of this application, step S160 involves obtaining a quantitative relationship between the river surface area and the suitable habitat area for key indicator species of aquatic organisms. For example, ArcGIS software can be used to obtain this quantitative relationship through spatial analysis. Then, the aquatic corridor boundary of the river ecological corridor is determined based on the condition that the suitable habitat area for different life cycles is maximized.

[0045] In the embodiments of this application, step S170 establishes a connection between threat factors generated by human activities and terrestrial habitat quality, obtains the distribution characteristics of terrestrial habitat quality in the study area, and determines the terrestrial corridor boundary of the river ecological corridor when the rate of change of the distribution characteristics of terrestrial habitat quality in the study area is lower than a preset value.

[0046] Specifically, the ecological quality of the terrestrial portion is significantly affected by various human activities, such as mining, agriculture, pollution discharge, and grazing, which directly alter the quality of river terrestrial corridor habitats. To assess the impact of different human activities on habitat quality, this paper uses the InVEST model for quantitative analysis.

[0047] The InVEST model is primarily used to evaluate the impacts of human activities such as construction land, roads, mining land, farmland, water pollution, and grazing on habitat degradation in river terrestrial corridors. The habitat quality module of the InVEST model, based on land use type data, establishes the relationship between human-induced threats and habitat quality, analyzes the degree and sensitivity of external threats, and thus derives the distribution characteristics of habitat quality within the study area. Its calculation formula is as follows: Distribution characteristics of terrestrial habitat quality in the study area Specifically, it refers to: in, Z As a normalization constant, it takes the value 2.5. Field indicates land use type Habitat suitability; Indicates land use type Middle grid Habitat quality; Indicates land use type Middle grid The degree of habitat degradation; This is the half-saturation constant, with a default value of 0.5.

[0048] in, express The number of grid cells on the threat factor layer; Indicates the weight of the threat factor; Indicates the number of threat factors; Threatening factors to habitat; In representing a grid Approachable level; express Threat factors on grid The degree of influence, with a value between 0 and 1; Indicates threat factors In the grid Habitat to grid The impact; Indicates land use type Threat factors The degree of sensitivity.

[0049] in, Indicates threat factors Maximum influence distance, Represents a grid and The linear distance between them.

[0050] The distribution characteristics of terrestrial habitat quality within the study area were obtained. Then, the rate of change of the distribution characteristics of terrestrial habitat quality in the study area is calculated, that is, the rate of change of terrestrial corridor width. When the rate of change is lower than a preset value, such as close to or equal to zero, the terrestrial corridor boundary of the river ecological corridor is determined based on the corresponding terrestrial corridor width at this time.

[0051] Of course, before proceeding to step S170, the land portion of the river ecological corridor needs to be rasterized into individual cells to obtain each cell.

[0052] In the embodiments of this application, in step S180, the boundary of the river ecological corridor is finally determined based on the water corridor boundary and the land corridor boundary of the river ecological corridor, combined with the river ecological corridor boundary threshold.

[0053] Specifically, the final boundary of the river ecological corridor is determined by superimposing the water corridor boundary and the land corridor boundary, which are determined separately, but the boundary must not exceed the threshold of the river ecological corridor boundary.

[0054] Based on the above description, the determination method according to the embodiments of this application can reasonably and quickly determine the boundaries of river ecological corridors by taking into account the needs of key indicator species, ensuring a reasonable ecological corridor range and improving the actual protection effect of river ecological corridors.

[0055] refer to Figure 8 This application also provides a determining device 200 for implementing the determining method 100 according to the embodiments of this application. The determining device 200 includes a processor 210 and a memory 220. The determining device 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 determining method 100 described above according to the embodiments of this application.

[0056] The processor 210 may be a central processing unit (CPU) or other processing units with data processing capabilities and / or instruction execution capabilities.

[0057] 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.

[0058] The device 200 may also include input and output devices, which are interconnected via a bus system and / or other forms of connection mechanisms. It should be noted that... Figure 8 The components and structure of the determining device 200 shown are merely exemplary and not limiting; the determining device 200 may also have other components and structures as needed.

[0059] 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.

[0060] 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.

[0061] For example, the example determining device 200 for implementing the determining 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.

[0062] Those skilled in the art can understand the specific operation of the determining device 200 for implementing the determining 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.

[0063] In one embodiment of this application, when the executable program is run by the processor 210, the processor 210 performs the following steps: Based on the integrated air-space-ground ecological monitoring system of the study area, relevant literature reviews, historical data, and / or expert consultation information, obtain the species, density, and biomass of terrestrial and aquatic organisms commonly inhabiting the river management area of ​​the study area, and determine the key indicator species for each terrestrial and aquatic organism in the study area based on key indicator species screening indicators; determine the key indicator species requirements based on the habitat types, food chains, and food webs required for different life stages; obtain the relationship curve between river corridor boundaries and key indicator species diversity based on historical data of river corridor width, key indicator species density, and biomass; construct a two-dimensional habitat model of the region and typical river sections based on the topographic and hydrological data of the study area, combined with the key indicator species requirements, and obtain the spatial distribution and migration path information of each key indicator species in the river ecosystem based on the two-dimensional habitat model; and based on the river corridor... Based on the relationship curves between boundary and key indicator species diversity, and the spatial distribution and migration path information of each key indicator species in the river ecosystem, with the goal of biodiversity enhancement and the constraint of unobstructed migration paths, the boundary thresholds of the river ecological corridor were initially determined. Using ArcGIS software, spatial analysis was conducted to obtain a quantitative relationship between the river surface area and the area of ​​suitable habitats for key indicator species in aquatic organisms. The aquatic corridor boundary of the river ecological corridor was determined based on the condition of maximizing the area of ​​suitable habitats at different life stages. Using the InVEST model based on land use type data, the relationship between human-induced threats and terrestrial habitat quality was established to obtain the distribution characteristics of terrestrial habitat quality in the study area. The terrestrial corridor boundary of the river ecological corridor was determined when the rate of change of the distribution characteristics of terrestrial habitat quality in the study area was lower than a preset value. Based on the aquatic and terrestrial corridor boundaries of the river ecological corridor, combined with the river ecological corridor boundary thresholds, the final river ecological corridor boundary was determined.

[0064] The above exemplarily illustrates a determination method 100 according to an embodiment of this application. The following, in conjunction with... Figure 9 The present application describes a determination system 300 provided in another aspect of its embodiments.

[0065] Reference Figure 9 This document describes an example determination system 300 for implementing the determination method of embodiments of this application. The determination system 300 may include a key indicator species determination module 310, a demand determination module 320, a relationship curve determination module 330, a migration path acquisition module 340, a boundary threshold determination module 350, a water corridor boundary determination module 360, a terrestrial corridor boundary determination module 370, and an ecological corridor boundary determination module 380. Wherein: The key indicator species identification module 310 is used to: obtain the species, density, and biomass of terrestrial and aquatic organisms that commonly inhabit the river management area in the study area based on the integrated air-space-ground ecological monitoring system of the study area, relevant literature review, historical data and / or expert consultation information, and identify the key indicator species of terrestrial and aquatic organisms in the study area based on the key indicator species screening index.

[0066] The demand determination module 320 is used to determine the demand for key indicator species based on the habitat types, food chains and food webs required for different life cycles.

[0067] The relationship curve determination module 330 is used to: obtain the relationship curve between river corridor boundary and key indicator species diversity based on historical data of river corridor width, key indicator species density and biomass.

[0068] The migration path acquisition module 340 is used to: construct a two-dimensional habitat model of the region and typical river section based on the topographic and hydrological data of the study area and the requirements of the key indicator species, and acquire the spatial distribution and migration path information of each key indicator species in the river ecosystem based on the two-dimensional habitat model.

[0069] The boundary threshold determination module 350 is used to: preliminarily determine the boundary threshold of the river ecological corridor based on the relationship curve between the river corridor boundary and the diversity of key indicator species and the spatial distribution and migration path information of each key indicator species in the river ecosystem, with the goal of improving biodiversity and the constraint of not blocking migration paths.

[0070] The water corridor boundary determination module 360 ​​is used to: obtain the quantitative relationship between the river surface area and the suitable habitat area of ​​key indicator species of aquatic organisms, and determine the water corridor boundary of the river ecological corridor based on the condition of maximizing the suitable habitat area at different life stages.

[0071] The terrestrial corridor boundary determination module 370 is used to: establish the relationship between threat factors generated by human activities and terrestrial habitat quality, obtain the distribution characteristics of terrestrial habitat quality in the study area, and determine the terrestrial corridor boundary of the river ecological corridor when the rate of change of the distribution characteristics of terrestrial habitat quality in the study area is lower than a preset value.

[0072] The ecological corridor boundary determination module 380 is used to: determine the river ecological corridor boundary based on the water corridor boundary and land corridor boundary of the river ecological corridor, combined with the river ecological corridor boundary threshold.

[0073] The determination system 300 proposed in this embodiment of the invention can reasonably and quickly determine the boundaries of river ecological corridors by taking into account the needs of key indicator species and utilizing the relationship curve between river corridor boundaries and key indicator species diversity, spatial distribution and migration path information of each key indicator species in the river ecosystem, ArcGIS software and InVEST model, etc.

[0074] 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 determination 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.

[0075] 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 determination method 100 of embodiments of this application.

[0076] 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.

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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.

[0081] 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 determining the boundary of a river ecological corridor, characterized in that, The determination method includes: Identify key indicator species for both terrestrial and aquatic organisms in the study area; Based on the habitat types, food chains, and food webs required for different life stages, the needs of key indicator species are determined. Based on historical data of river corridor width, key indicator species density and biomass, the relationship curve between river corridor boundary and key indicator species diversity was obtained; Based on a pre-constructed two-dimensional habitat model of a region and a typical river segment, information on the spatial distribution and migration routes of key indicator species in the river ecosystem was obtained; Based on the relationship curve between the river corridor boundary and the diversity of key indicator species, and the spatial distribution and migration path information of each key indicator species in the river ecosystem, with the goal of improving biodiversity and the constraint of unobstructed migration paths, the threshold of the river ecological corridor boundary is determined. The quantitative relationship between river surface area and suitable habitat area for key indicator species of aquatic organisms was obtained, and the aquatic corridor boundary of river ecological corridor was determined based on the condition that the suitable habitat area is maximized at different life stages. Establish the link between threat factors generated by human activities and terrestrial habitat quality, obtain the distribution characteristics of terrestrial habitat quality in the study area, and determine the terrestrial corridor boundary of the river ecological corridor when the rate of change of the distribution characteristics of terrestrial habitat quality in the study area is lower than the preset value. Among them, the distribution characteristics of terrestrial habitat quality within the study area were obtained. Specifically, it refers to: in, Z As a normalization constant, it takes the value 2.

5. Field indicates land use type Habitat suitability; Indicates land use type Middle grid Habitat quality; Indicates land use type Middle grid The degree of habitat degradation; This is the half-saturation constant, with a default value of 0.5; in, express The number of grid cells on the threat factor layer; Indicates the weight of the threat factor; Indicates the number of threat factors; Threatening factors to habitat; In representing a grid Approachable level; express Threat factors on grid The degree of influence, with a value between 0 and 1; Indicates threat factors In the grid Habitat to grid The impact; Indicates land use type Threat factors The degree of sensitivity; in, Indicates threat factors Maximum influence distance, Represents a grid and The linear distance between them; Based on the water corridor boundary and land corridor boundary of the river ecological corridor, and combined with the river ecological corridor boundary threshold, the river ecological corridor boundary is finally determined.

2. The determination method according to claim 1, characterized in that, It also includes pre-processing the land portion of the river ecological corridor into gridded units.

3. The determination method according to claim 1, characterized in that, The identification of key indicator species for both terrestrial and aquatic organisms within the study area specifically refers to: Based on the integrated air-space-ground ecological monitoring system of the study area, relevant literature review, historical data and / or expert consultation information, the species, density and biomass of terrestrial and aquatic organisms that commonly inhabit the river management area of ​​the study area are obtained. Then, based on the key indicator species screening index, the key indicator species of terrestrial and aquatic organisms in the study area are determined.

4. The determination method according to claim 1, characterized in that, It also includes constructing a two-dimensional habitat model of a region and a typical river segment, specifically including: Based on the topographic and hydrological data of the study area, and combined with the requirements of the key indicator species, a two-dimensional habitat model of the region and typical river sections was constructed.

5. The determination method according to claim 1, characterized in that, The integrated space-air-ground ecological monitoring system for the study area specifically refers to: Satellite remote sensing technology was used to monitor the type, structure and function of the entire watershed ecosystem in the study area; UAVs and RTK were used for monitoring at the river section scale and geomorphic unit scale.

6. The determination method according to claim 1, characterized in that, The key indicator species screening criteria include the principles of rarity and endangerment, importance, and economic viability.

7. A device for determining the boundary of a river ecological corridor, characterized in that, The determining 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 determination method according to any one of claims 1 to 6.

8. A storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform the determination method according to any one of claims 1 to 6.

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