65 results about "Ecological network" patented technology

The invention relates to the technical field of multi-modal data processing, and discloses a multi-modal threat perception method and system based on a space-time diagram neural network, and the method comprises the steps: obtaining a multi-modal original data set in a vehicle insurance claim settlement link, and carrying out the business relation mining and space-time dynamic analysis, and obtaining an entity space-time relation diagram; inputting the entity space-time relation graph into a space-time graph neural network for space-time fusion to obtain a node threat embedding vector; performing graph contrast learning and cross-modal feature discrimination on the node threat embedding vector to obtain a vehicle insurance threat feature vector; and carrying out fraud space-time propagation modeling based on the vehicle insurance threat feature vector, and generating a vehicle insurance threat blocking strategy, the method can accurately predict a propagation path and an influence boundary of gang fraud in a vehicle insurance ecological network, and identifies potential threats and starts prevention measures before a fraud behavior is completely displayed.

The invention provides a coastal wetland ecological corridor identification and optimization method and system, and relates to the technical field of ecological environment monitoring. The method comprises the following steps: integrating optical, radar, terrain, night light and road data on an earth engine cloud platform, and unifying time and space references to form an initial data set; extracting a normalized vegetation index and a vegetation coverage degree, and combining with a water body frequency to identify an ecological source land; generating a comprehensive resistance surface according to the land utilization and coverage type and the road distance; and performing minimum cost path and circuit connectivity analysis in a geographic information system to obtain potential galleries, key nodes and barrier regions, and outputting gallery grades and optimization suggestions in a grading manner according to a cost threshold, thereby realizing high-precision identification and optimization of the coastal wetland ecological network.

The invention provides a wild animal buffer zone delimiting method and system for a habitat, and relates to the technical field of ecological environment division, and the method comprises the steps: obtaining habitat information data; processing the habitat information data based on a quantum hybrid optimization algorithm and a preset multi-fractal coupling model, and generating a habitat suitability distribution mode; performing multi-scale landscape connectivity analysis according to the suitability distribution mode to obtain a connectivity topological graph of the habitat space; performing membrane calculation ecological network model construction and coupling on the connectivity topological graph to obtain an initial wildlife buffer zone delimiting scheme; generating an optimized buffer band delimiting scheme through a random programming and preset robust optimization hybrid strategy; and q-order fuzzy measure and Choquet integral are adopted to carry out collaborative evaluation, and a wild animal buffer zone intelligent delimiting scheme is obtained. According to the method, the complex trade-off relationship among multiple targets is objectively quantified, and the optimal balance of the scheme in all aspects is ensured.

The invention discloses an AI-based automatic enterprise financial analysis system and method, and relates to the technical field of financial analysis, and the method comprises the steps of S1, data integration, S2, time-space diagram modeling, S3, feature fusion, S4, risk prediction, and S5, early warning output. According to the method, the contribution degrees of different modes can be automatically adjusted according to real-time data characteristics, the weight of market signals is enhanced when the industry fluctuates violently, or the sensitivity of unstructured enterprise related information data is improved in a supply chain crisis event; by means of the design, subjective deviation caused by manual weight setting is avoided, the nonlinear synergistic effect between different modes can be captured, and the capacity of recognizing hidden risks is improved; meanwhile, the complex transaction relation between the enterprises is converted into quantifiable topological characteristics through space-time diagram structure modeling, so that the risk prediction model can analyze the interaction influence between the individual states of the enterprises and the industry ecological network at the same time, and the systematic risk conduction path is evaluated on the overall level.

The invention provides a salt marsh vegetation long-term change monitoring method, which belongs to the technical field of salt marsh vegetation monitoring, and comprises the following steps: establishing a multi-level monitoring grid with main monitoring point spacing of 500m and auxiliary monitoring point spacing of 100m, and configuring a multi-source sensor to obtain environmental data; a wavelet transform technology is used to separate seasonal change and long-term change trends, a matrix equation is calculated through seasonal change amplitude to dynamically adjust sampling frequency, and an ecological network connectivity analysis algorithm based on a graph theory is constructed to calculate a network clustering coefficient and a shortest path length to evaluate habitat fragmentation. A fuzzy C-means clustering algorithm is adopted to process the boundary fuzziness of a vegetation community based on multi-dimensional environmental factors, a multi-scale matrix mapping hierarchical processing system is established to realize pixel-to-landscape scale information fusion, and the technical problem that the monitoring result is not accurate enough due to insufficient monitoring precision of long-term change of salt marsh vegetation is solved.

The invention relates to the technical field of ecological environment protection, in particular to a multi-dimensional evaluation method for a connectivity function of a land directed ecological network, which comprises the following steps: collecting species distribution data and environment variable data of a target area to measure land inhabitation suitability; screening land habitat plaques of the target area according to the land habitat suitability; identifying a species migration corridor according to the land region species migration resistance surface and the land region habitat plaque; establishing a land directed ecological network according to the land habitat plaques and the species migration galleries; an improved multi-centrality algorithm is adopted to measure the directed degree centrality, the directed adjacent centrality and the directed intermediary centrality of the directed ecological network, and then the ecological node comprehensive centrality and the ecological connection edge comprehensive centrality of the land area directed ecological network are evaluated. Therefore, the problem that the importance of each component of the ecological network has an omission risk due to the fact that the existing connectivity assessment based on the undirected ecological network does not consider the interaction demand of the ecological flow is solved.

The invention provides an ecological security pattern construction method for collaborative protection of birds and amphibians, which is applied to the technical field of regional ecosystems and comprises the following steps: determining a habitat quality index of a target region based on a land utilization remote sensing monitoring data set of the target region; determining a plurality of landscape types of the target region based on the binary image of the target region; based on the habitat quality index and the plurality of landscape types, respectively determining a bird ecological source candidate area and an amphibian ecological source candidate area; based on the landscape connectivity index, grading the bird ecological source candidate area and the amphibian ecological source candidate area, and determining a species collaborative ecological source; and according to a circuit theory, determining an ecological safety pattern of bird and amphibian collaborative protection based on an ecological resistance surface set of a species collaborative ecological source. According to the embodiment of the invention, the overall connectivity and functionality of the ecological network can be improved while the constructed ecological security pattern meets the multi-class group ecological requirements.

The invention provides a prawn disease-oriented intestinal tract key metabolite design method and device, and relates to the technical field of strategy optimizing.The prawn disease-oriented intestinal tract key metabolite design method comprises the steps that prawn intestinal tract metabolite data are obtained, a random forest model distinguishes prawn health conditions through intestinal tract metabolite, and indication intestinal tract metabolite for distinguishing the health conditions is determined; the importance of the distinguishing metabolites is quantified through an MDA algorithm, and the most important distinguishing metabolite combination is screened; and distinguishing the metabolite and converting the metabolite concentration into a weighted undirected network, obtaining the feature vector centrality of each metabolite in the molecular ecological network, and determining a key metabolite. According to the invention, the random forest and the molecular ecological network are combined to identify key metabolites in a disease state, and the relative importance of each variable to a classification result is quantified. Meanwhile, the proportion of each key metabolite is determined by tracing back to healthy prawn intestinal tracts, and diseases are prevented and controlled symptomatically by compensating the combination of the inhibited key metabolite in the disease prawns.

The invention discloses an intelligent forestry ecological monitoring method and system based on a cloud platform and edge computing, and relates to the related field of forestry resource management, and the method comprises the steps: taking monitoring nodes, space-time edges, ecological states and dynamic weights as construction elements for a target forest region, carrying out the dynamic constraint through double-flow attention, and constructing a dynamic ecological network; homologous segmentation and solver construction are carried out, deployment of a distributed edge end and a cloud platform is executed, the edge end is used as transfer, and solving is carried out through the cloud platform; and executing ecological monitoring of the first upper node, performing edge end return and integration, transferring to a cloud platform for parallel solution under multiple threads, determining a monitoring strategy, issuing the monitoring strategy to the edge end, writing the monitoring strategy into a register, generating a vertical synchronization signal according to strategy time-space performance, and executing directional driving monitoring management of a monitoring facility array. The technical problem that dynamic and accurate decision making is difficult to achieve in existing intelligent forestry ecological monitoring is solved, and the technical effects of real-time generation and accurate execution of a monitoring strategy are achieved.

The invention provides an ecological network stability monitoring method based on machine learning, and the method comprises the steps: collecting a real-time ecological data sequence from a wetland bird habitat environment, extracting a seasonal period frequency through employing a frequency domain analysis method according to the environment temperature change, and carrying out the calculation of the seasonal period frequency; decomposing the real-time ecological data sequence into a periodic fluctuation part and a long-term change part; for the temperature fluctuation data, calculating an amplitude peak value interval, comparing the amplitude peak value interval with historical data, performing matching judgment in combination with preset reference model parameters, and generating a classified fluctuation marking result including a potential disturbance type and a natural period; for trend data, trend line fitting slopes in all windows are calculated, slope change distribution is obtained, in combination with a fluctuation marking result and the slope change distribution, a long-term temperature trend deviation state is judged, dynamic monitoring parameters are adjusted, the deviation degree of current temperature data and historical data is monitored, and when the deviation degree exceeds the adjusted range, the dynamic monitoring parameters are determined. And triggering a habitat environment stability transition signal, extracting a persistence characteristic in the transition signal, calculating a persistence index, and recording and confirming a final offset signal according to the persistence index and an offset event, thereby completing refined monitoring and early warning of wetland temperature change.

This invention provides a method, device, and electronic device for constructing an ecological network with spatial dust retention function, belonging to the field of ecological planning technology. The method includes: correcting the basic PM2.5 diffusion resistance coefficient of each spatial grid in the spatial grid model based on a landscape correction factor to obtain a comprehensive PM2.5 diffusion resistance surface; the basic PM2.5 diffusion resistance coefficient is determined based on the hindering effect of land use type on PM2.5 diffusion; based on the spatial distribution map of PM2.5 pollution sources and the comprehensive PM2.5 diffusion resistance surface, performing minimum cumulative cost analysis and current distribution calculation based on circuit theory to obtain PM2.5 diffusion corridors; and identifying and analyzing key control nodes based on the PM2.5 diffusion corridors to obtain key control nodes for constructing a PM2.5 diffusion control ecological network. This invention realizes a systematic PM2.5 diffusion control ecological network construction scheme integrating landscape ecology source-corridor-node morphology.

The present application relates to the technical field of ecological network construction, and more particularly to an ecological network construction method for multi-function synergistic effect of ecological system; comprising the following steps: S1, setting multiple types of ecological system functions, and judging the relationship of any two ecological system functions; S2, calculating the multi-function synergistic effect potential value of each grid unit of the ecological system, and dividing the ecological protection area and the ecological restoration area; S3, constructing a random forest model, and screening out key factors from the influence factors; S4, taking the center point of the ecological protection area and the center point of the ecological restoration area as two types of nodes, taking the shortest connected path between the two types of nodes as an edge, and taking the variation gradient of the key factors as the attribute of the edge, and constructing an ecological network; S5, performing multi-function protection and restoration work; considering the synergistic / trade-off relationship between the multiple types of ecological system functions, quantifying the multi-function synergistic effect potential of the ecological system, and effectively distinguishing the key areas of ecological protection and restoration work.

The invention relates to the field of urban planning and management, in particular to a multi-target composite ecological network construction and local synergy method, device and equipment, and innovatively provides a composite ecological network integrating double targets of an urban cold island effect and habitat quality. On the basis of a hierarchical optimization method of'macroscopic network pattern constraint-machine learning interpretation-spatial threshold regulation ', capturing a complex nonlinear relationship between a landscape index and a dual ecological target by utilizing a high-dimensional nonlinear fitting capability of a machine learning model in a heterogeneity composite ecological network; and the SHAP model is introduced to identify a synergistic dominant driving factor and a quantization threshold thereof in the composite ecological network, so that an abstract model prediction result is inverted into a planning control index with clear physical significance, a targeted local synergistic optimization strategy is generated, and the ecological restoration efficiency and the refined control effect are greatly improved.

The invention discloses a mangrove forest ecological restoration multi-dimensional effect comprehensive evaluation method and system. The method comprises the following steps: acquiring first remote sensing image data, first environment monitoring data, a first biological investigation quadrat image and first ecological background data corresponding to a restored mangrove forest carrying a first geographic coordinate and a first time label; inputting the processed first remote sensing image data into a nested U-shaped model to obtain a first pixel-level semantic segmentation map, and inputting the processed first biological investigation quadrat image into a comparison enhanced YOLOv8 model to obtain a first detection feature vector; obtaining a first ecological network embedding vector through the processed first environment monitoring data, the processed first ecological background data and a GraphSAGE model; obtaining a first ecological parameter index through the first pixel-level semantic segmentation map, the first detection feature vector, the first ecological network embedding vector and a multi-modal Transform model; and after the first ecological parameter indexes are converted into scores and preset thresholds, the restoration effect of the restored mangrove forest is obtained.

The invention relates to the technical field of ecological network construction, in particular to an ecological system-oriented multifunctional synergistic interaction ecological network construction method. Comprising the following steps: S1, setting multiple types of ecosystem functions, and judging the relationship between any two ecosystem functions; s2, calculating an ecological system multifunctional synergistic interaction potential value of each grid unit, and dividing an ecological protection area and an ecological restoration area; s3, constructing a random forest model, and screening key factors from the influence factors; s4, constructing an ecological network by taking the central point of the ecological protection area and the central point of the ecological restoration area as two types of nodes, taking the shortest communication path between the two types of nodes as an edge and taking the variation gradient of the key factor as the attribute of the edge; s5, carrying out multifunctional protection and repair work; the cooperation / tradeoff relation among the regional multi-type ecological system functions is considered, the multifunctional cooperation and interaction potential of the ecological system is quantified, and key regions of ecological protection and restoration work are effectively distinguished.

The embodiment of the invention relates to the technical field of software ecological maturity analysis, and provides an ecological maturity evaluation method and device for RISC-V basic software, and the method comprises the steps: dividing an ecological network of the RISC-V basic software into a plurality of logic layers from bottom to top, and obtaining a hierarchical model, the plurality of logic layers comprise a system firmware layer, an operating system and basic library layer, a compiling tool chain and development tool set layer, a language runtime layer, a video coding and decoding and AI computing ecological layer, a big data processing ecological layer, a virtualization and containerization layer and a cloud computing / cloud native layer, and each logic layer comprises a plurality of software components which can be independently added and deleted; performing hierarchical scoring based on an RISC-V basic software hierarchical model, and performing longitudinal hierarchical aggregation on scoring results of each hierarchy to obtain an overall ecological maturity score; and evaluating the ecological maturity of the software based on the integral ecological maturity score. Therefore, dynamic dimension and hierarchical structure expansion can be supported, and systematic evaluation can be carried out on the ecological system based on quantifiable multi-dimensional indexes.

The application discloses a kind of ecological core area identification methods based on land use and ecological network two-way feedback, method includes obtaining land use data and multi-source driving factor data and pre-processing;According to the land use data and multi-source driving factor data after pre-processing, the development probability of land use type is calculated, and PLUS model is used to predict future land use pattern;Based on future land use pattern, ecological source is calculated, and the minimum resistance model is used to extract ecological corridor, according to ecological source and ecological corridor, ecological network is formed;The ecological network formed is fed back, the feedback process is iterated, when meeting stopping condition, iteration is stopped, the region of all ecological network superposition in iteration process is output, and the ecological core area is obtained.The application quantifies the dynamic mutual feedback mechanism of land use simulation and ecological network by combining them, breaks through the one-way analysis limitation of the relationship between land use and ecological network in traditional research, and improves the accuracy of ecological core area identification.

This invention relates to a method for identifying functional microorganisms in a mixed nutrient denitrification system of iron autotrophic and heterotrophic components, belonging to the field of wastewater biological treatment technology. The invention first constructs a mixed nutrient denitrification system, and then conducts microenvironmental culture by setting up a control group, an autotrophic labeled group, and a heterotrophic labeled group. Separation is then performed using cesium chloride density gradient centrifugation. 13 C-labeled heavy-chain DNA was used to determine the heavy-chain position using real-time quantitative PCR, followed by 16S rRNA gene sequencing to accurately identify iron-autotrophic and heterotrophic functional microorganisms. Based on the identification results, the response patterns and interaction mechanisms of different trophic microorganisms were analyzed by regulating the COD / TN ratio of the system and constructing a molecular ecological network. This invention achieves accurate identification and interaction analysis of functional microorganisms in complex mixed trophic systems, providing a reliable technical means for optimizing wastewater denitrification processes.

The application discloses a method for monitoring the effect of marine ecological restoration in an estuary and sea area based on multi-period remote sensing, and relates to the technical field of marine ecological restoration, which comprises the following steps: obtaining multi-period satellite and unmanned aerial vehicle remote sensing images before and after the implementation of a restoration project, and constructing a long-time sequence standardized remote sensing data set; interpreting the multi-period remote sensing images to generate multi-period ecological element data; inputting the multi-period ecological element data into an intelligent simulation model for water and sediment transport and topographic evolution, simulating the water and sediment transport and topographic evolution law in different restoration stages, and evaluating the implementation efficiency of the project; constructing an ecological network topology graph with each ecological patch in the restoration area as a node, using a graph neural network to learn the spatio-temporal characteristics and predict the state evolution of the multi-period ecological indicators, and generating a dynamic change curve of a comprehensive index of the restoration effect; and triggering a graded early warning when the comprehensive index deviates from a preset restoration target track. The application realizes quantitative monitoring and dynamic early warning of the effect of marine ecological restoration in an estuary and sea area.

The application discloses a kind of based on carbon source-sink and biological process's preferential protection area demarcation method, comprising: obtaining the multi-source remote sensing data of research area, generates the ecological resistance surface of research area;Based on circuit theory extraction ecological corridor and ecological node, construct the static ecological network of source-corridor-node structure;For the spatio-temporal heterogeneity characteristics of ecological source, the supply and demand of carbon fixation service of ecological source are calculated;Carbon fixation service as important ecological resources, according to the characteristics of biological migration from low resource habitat to high resource habitat, compare the supply and demand ratio of carbon fixation service between ecological source, to determine the trend of ecological corridor, calculate the flow radius of ecological source carbon sink supply area, according to flow radius determine the biological flow relationship between ecological source, divide ecological source into carbon source protection area and carbon sink protection area.

The present application relates to a method, device, equipment, and medium for constructing an urban renewal ecological network. The method includes: spatially superimposing an ecological resistance surface index and an ecological return flow index to determine a revised ecological resistance surface; calculating and determining the connectivity paths between any urban ecological sources based on the revised ecological resistance surface based on a preset minimum cumulative resistance model, wherein the connectivity paths represent ecological corridors in the urban ecological network; using spatial syntax to calculate and determine the selectivity and integration corresponding to each ecological corridor in the urban ecological network; selecting key ecological corridors in the urban ecological network based on the selectivity and integration corresponding to each ecological corridor; constructing an ecological network after urban renewal based on the key ecological corridors to complete the construction of the urban renewal ecological network. The present application can not only increase the fairness of urban green space, but also effectively alleviate the urban heat island effect, enhance biodiversity, and improve the quality of the human living environment.

The invention discloses a network distribution method and device of equipment, electronic equipment and a computer readable storage medium, and belongs to the field of intelligent equipment. The method comprises the following steps: in response to an obtained first request, displaying a distribution network state code, so that a user determines a to-be-executed distribution network operation based on the distribution network state code; the first request is used for acquiring a distribution network state code; the distribution network state code is used for indicating the configuration states of the first ecological network and the second ecological network; the first ecological network is a brand private ecological network of to-be-configured equipment; the second ecological network is an ecological network supporting a Matter standard; and after the network distribution mode is triggered due to the network distribution operation of the user, according to the configuration states of the first ecological network and the second ecological network, determining and executing a target initialization operation required for configuring the ecological network to be configured. In the process of guiding the user to normally complete the configuration of the to-be-configured ecological network, the target initialization operation is executed by the intelligent equipment, so that the occurrence of abnormal conditions can be reduced.

The invention discloses an ecological source land identification and land utilization optimization method based on supply and demand balance, which comprises the following steps of: firstly, identifying an ecological source land: evaluating an ecological service supply and demand relationship of each region by knowing supply and demand of ecological services of different regions, and identifying a region with abundant ecological system service supply and greater supply demand as an ecological source land; then, according to ecological vulnerability distribution characteristics, collecting basic data related to an ecological network, performing resistance surface construction, and combining an ecological model to identify an important ecological corridor connected with a plurality of ecological sources, so as to construct a complete ecological security pattern; based on the relationship among ecosystem services, the invention proposes to construct an ecological source land, an ecological corridor and an ecological safety pattern, totally identifies five types of land optimization subareas including a core protection area, an ecological fragile area, an ecological conservation area, a grain production area and an ecological transition area, and proposes to adopt management measures according to local conditions in different functional subareas.

The invention provides an ecological network construction method and device with a space dust retention function and electronic equipment, and belongs to the technical field of ecological planning, and the method comprises the steps: correcting a basic PM2.5 diffusion resistance coefficient of each space grid in a space grid model based on a landscape correction factor, and obtaining a PM2.5 diffusion comprehensive resistance surface; the basic PM2.5 diffusion resistance coefficient is determined based on the blocking effect of the land utilization type on PM2.5 diffusion; based on the PM2.5 pollution source space distribution diagram and the PM2.5 diffusion comprehensive resistance surface, minimum cumulative cost analysis and current distribution calculation based on the circuit theory are carried out, and a PM2.5 diffusion corridor is obtained; and key control node identification analysis is carried out based on the PM2.5 diffusion corridor to obtain key control nodes so as to construct a PM2.5 diffusion control ecological network. According to the invention, a systematic PM2.5 diffusion control ecological network construction scheme fusing a landscape ecology source-corridor-node form is realized.

The application discloses a method for analyzing the influence of a gate dam on a river food web based on fatty acids and ecological network analysis. The method comprises the following steps: obtaining the nutrient structure of the river food web upstream and downstream of the gate dam and the measured results of fatty acids of various species through field sampling; determining the food resources and consumers of the food web through a classification library and a relationship library of nutritional groups; determining the number of nodes and the number of links between nodes in the ecological network diagram upstream and downstream of the gate dam; calculating the node size, the nutrient transmission efficiency and the interspecific energy flux in the ecological network diagram, determining the link width between nodes in the ecological network diagram, and drawing the ecological network diagram; calculating the total area of various types of nodes, the number of producer nodes and the number of consumer nodes of each nutritional group in the ecological network diagram upstream and downstream of the gate dam, and analyzing the influence of the gate dam on the key species and nutritional groups in the river food web and the influence of the gate dam on the stability and vulnerability of the river ecosystem food web.

The application provides a high-order network vulnerability analysis method based on a hypergraph, relates to the field of system and information technology, and newly constructs a hypergraph network model with adjustable degree distribution as a bottom topology, proposes a new vulnerability index suitable for the hypergraph network through theoretical analysis, and reveals the relationship between the heterogeneity of the hypergraph degree distribution and the vulnerability. The application fully considers the high-order and random characteristics of the interaction of actual network systems, the hypergraph network model with adjustable degree distribution can be used for describing ecological networks, social networks and traffic systems, the new vulnerability analysis method can effectively evaluate the ability of the actual network system to resist external interference, has a wider application range in practical application, and has important technical values in network security, invulnerability design and risk prediction and the like.

This invention discloses a method for constructing and restoring regional ecological networks by integrating multiple forest ecological factors. The method includes: collecting basic geographic data, land use data, remote sensing image data, and forest ecological factor data extracted from a single map of forest, grassland, and wetland resources in the study area; performing spatial registration, format unification, and rasterization on the multi-source data to unify spatial resolution and coordinate system; determining the final ecological source areas; constructing basic resistance surfaces, forest resistance correction coefficients, and comprehensive resistance surfaces; simulating ecological corridors, identifying ecological pinch points, assessing corridor importance, and extracting key ecological nodes; establishing a three-dimensional evaluation index system of "source area quality—corridor connectivity—network structure" to comprehensively evaluate the regional ecological pattern; and proposing differentiated restoration strategies based on forest factors for different ecological nodes. This invention integrates forest ecological factor data from a single map of forest, grassland, and wetland resources into the MSPA-MCR technical framework, improving the scientific rigor and accuracy of ecological network construction.

This invention relates to the field of land planning and ecological information processing technology, and particularly to a method, system, and medium for identifying and optimizing a national spatial ecological network. The method includes the following steps: collecting ecological environment monitoring data and acquiring national spatial characteristic data; comparing the ecological environment monitoring data with preset ecological environment benchmark data to identify characteristics of ecological environment status changes and initiate ecological network structure updates; extracting topographic elevation information and vegetation vertical structure information from the national spatial characteristic data to establish a three-dimensional connectivity judgment standard for species mobility adaptation. This invention, by constructing a three-dimensional connectivity judgment standard and implementing differentiated corridor integration optimization, achieves synchronous adaptation of the ecological network and ecological conditions, and ensures that corridors meet the three-dimensional mobility needs of species, thereby enhancing the dynamic adaptability, species specificity, and connectivity stability of the ecological network.

This application discloses a method for optimizing urban ecological networks with uneven blue-green distribution based on a stepping stone system, belonging to the field of ecological network optimization technology. The method includes acquiring ecological data of the study area, using morphological spatial pattern analysis, habitat quality assessment, and landscape connectivity techniques to identify the spatial distribution characteristics of ecological source areas and their uneven blue-green distribution, simulating multi-path ecological flows based on a circuit theory model, and using identified breakpoints that block species migration and obstacles that impede energy flow as stepping stones in areas lacking blue-green space to optimize the ecological network of cities with uneven blue-green distribution. This optimization significantly increases the number of ecological corridors and improves landscape connectivity. This application verifies the landscape connectivity optimization effect through repeated simulations, continuously repairing the breakpoints and obstacles as stepping stone systems for cities with uneven blue-green distribution, to obtain the final optimized ecological network, achieving the optimal selection of the ecological network.

The invention relates to the technical field of ecological corridor construction, in particular to an intelligent urban ecological corridor construction method based on multi-source surveying and mapping data driving. The method comprises the following steps: acquiring a satellite remote sensing image and terrain elevation data, integrating the data into multi-source surveying and mapping data, identifying space-time reference features of each data source, extracting ground feature types and vegetation coverage features, constructing a space-time registration relationship of the data according to the space-time reference features, associating the ground feature types with the vegetation features, and establishing a multi-source surveying and mapping result. According to the method, ecological source candidate areas are screened, greening connected obstacles in the ecological source are identified, candidate ecological corridor paths are identified in combination with preset ecological connectivity evaluation data, ecological node areas are reconstructed, and an urban ecological corridor network structure is generated based on the nodes and the candidate ecological corridor paths. According to the method, more efficient and more accurate ecological characteristic analysis is realized, the connectivity and effectiveness of the ecological corridor network are ensured, and the overall stability of the ecological network is enhanced.