40 results about "Ecological network" patented technology

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.

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 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 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 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.

The invention relates to the technical field of marine prevention and control, in particular to a method and system for preventing and controlling invasion of marine foreign organisms through hydroxyl radical advanced oxidation. The method comprises the following steps: acquiring marine organism data; performing biological characteristic analysis on the marine biological data to generate marine biological characteristic data; performing marine biological behavior mode simulation on the marine biological characteristic data to generate marine biological behavior simulation data; constructing an ecological network based on the marine organism behavior simulation data, and generating marine ecological interaction network data; acquiring ocean hydroxyl radical data; carrying out flow modeling on the marine hydroxyl radical data to generate a marine hydroxyl radical flow model; by integrating marine organism and hydroxyl radical data, real-time monitoring and intelligent sensing network construction and reaction kinetics analysis, the feasibility and accuracy of the prevention and control effect are improved.

The invention relates to the technical field of land planning and ecological information processing, in particular to a territorial space ecological network identification optimization method and system and a medium. The method comprises the following steps: collecting ecological environment monitoring data, and obtaining territorial spatial feature data; comparing the ecological environment monitoring data with preset ecological environment reference data, identifying ecological environment state variation characteristics, and starting ecological network structure updating; and extracting terrain elevation information and vegetation vertical structure information in the territorial spatial feature data, and determining a three-dimensional connectivity judgment standard adapted to species passage. According to the method, the three-dimensional connectivity judgment standard is constructed, differential corridor integration optimization is implemented, synchronous adaptation of the ecological network and the ecological condition is realized, and the corridor conforms to the three-dimensional passage requirements of species, so that the dynamic adaptability, the species pertinence and the connectivity stability of the ecological network are enhanced.

The application provides a synthetic ecological network construction method for a coal deep CO2 storage area and application, and belongs to the technical field of bioengineering and carbon storage. The method comprises the following steps: constructing a coexistence network based on in-situ microbial data, identifying a functional target point according to topological properties; designing a preliminary synthetic network scheme comprising four modules of environmental buffer, substrate processing, electron transfer enhancement and methane production core for the target point; co-culturing the scheme and a representative original community in a system simulating extreme conditions of a formation, and monitoring a cooperative operation state; evaluating according to a preset cooperative stability criterion; if the evaluation fails, feeding back to the preceding step according to failure analysis for parameter optimization until an ultimate design scheme meeting long-term cooperative stability requirements is obtained. Through closed-loop dynamic optimization, the application realizes the cooperative stability of the synthetic network and the original community, and improves the long-term reliability and system robustness of biological methane production under the coal deep CO2 storage environment.

The application relates to the technical field of ecological corridor path optimization, and discloses an ecological corridor path optimization method based on a graph attention network, which comprises the following steps: constructing an ecological network graph based on all ecological subareas and an ecological environment database, inputting the ecological network graph into a pre-established graph attention neural network, outputting an updated ecological network graph, selecting a starting point and an ending point of an ecological corridor from an ecological suitable set, executing a path optimization instruction, and outputting an ecological corridor path set; the rationality of each path in the ecological corridor path set is verified, and the ecological corridor path set is output as an optimal set after the ecological corridor path set is traversed. The method generates multiple candidate ecological corridor paths through a graph attention network and a path optimization instruction, thereby forming multiple alternative ecological corridor schemes, providing more flexible and reliable basis for ecological protection planning and spatial decision, and improving the overall connectivity and stability of the ecological network.

The utility model discloses a suspended immobilized microorganism biochemical reaction purification device which comprises micro-nano aeration equipment, a bin body containing a cavity and a carrier I which is arranged on the periphery of the bin body, is used for attachment of microorganisms and is suspended in water, and a plurality of outlets communicated with the cavity are formed in the peripheral wall of the bin body. A plurality of second carriers used for fixing microorganisms are arranged in a cavity of the bin body, an air outlet pipe in the micro-nano aeration equipment is arranged around the bin body, and when the micro-nano aeration equipment is used in water, if the microorganisms are loaded through the second carriers in the cavity of the bin body, the microorganisms in the cavity of the bin body are discharged out of the bin body through an outlet and then can be attached to the first carriers to breed and grow. The micro-nano aeration equipment provides an aerobic environment, a stable ecological network can be established in a water body under cooperation, and the ecological environment of a living body is improved for a long time.

This invention discloses a sponge city drainage pipeline management method based on ecological infiltration and coordinated intelligent diversion, belonging to the field of intelligent and water conservancy synergy technology. This method acquires dynamic data of the entire sponge city drainage network, performs feature fusion and extraction on the data through an ecological network collaborative analytical model, obtains a multi-dimensional collaborative parameter set, inputs this multi-dimensional collaborative parameter set into a dynamic diversion decision model, and combines it with a preset runoff control target threshold to generate network diversion control commands and ecological infiltration facility control commands, achieving coordinated dynamic management and control of network runoff and ecological infiltration. This invention uses an analytical model that couples unsaturated soil seepage theory with the hydraulic laws of the network, extracts multi-dimensional collaborative parameters using an attention mechanism, and then generates precise commands through multi-objective optimization and a condition-adaptive decision model. This enables the linkage of multiple actuators to achieve dynamic adaptation of network ecological facilities, taking into account runoff reduction, pollution removal, and energy consumption optimization, breaking through the limitations of traditional static management.

This invention relates to a method for constructing an urban green space ecological network based on an ecological security pattern. The method involves acquiring spatial distribution data of existing green space patches in a target urban area, extracting candidate urban ecological source areas, and then screening to obtain important urban ecological source areas. It combines existing land use types with other resistance factors to construct a comprehensive resistance surface. Based on important ecological source areas and the comprehensive resistance surface, a minimum cumulative resistance model is used to simulate the minimum cumulative resistance path and suitable path spatial range of potential ecological corridors. Based on circuit theory, the minimum cumulative resistance path is classified, and effective corridors are determined according to the level, with their suitable path spatial ranges extracted. Supplementary ecological nodes are identified. The suitable path spatial ranges of important ecological source areas, effective corridors, and supplementary ecological nodes are superimposed to form an urban green space ecological network. This invention provides a basis for the formulation and implementation of relevant plans, effectively improving the ecological service efficiency of green spaces, maintaining urban ecological balance, and improving the urban living environment.

The invention discloses a climate connectivity network optimization method based on temperature constraint and a storage medium. The method comprises the following steps: identifying different habitat biodiversity hotspots based on a pre-constructed species distribution model; taking the existing protected area in the research area as an initial node, and combining a comprehensive resistance surface and a diffusion distance threshold which are obtained in advance to construct a basic ecological network; a temperature difference constraint rule is introduced into the basic ecological network, all minimum cost paths of initial nodes meeting the temperature difference constraint rule are calculated, and a current climate connectivity network is formed; for the climate connectivity network, taking different habitat biodiversity hotspots as supplementary nodes to obtain the climate connectivity network after first optimization; and performing screening and data cleaning on the climate connectivity network after the first optimization based on the path weight value to obtain a climate connectivity network after the second optimization. According to the method, the climate connectivity of a protected area ecological system in a multi-climate scene can be improved.

The application discloses a three-dimensional visualization system and construction method based on Ethereum big data, which classifies Ethereum blockchain big data according to entities, and constructs an Ethereum head ecological network model by using a Spark computing framework. The whole Ethereum network model is laid out by using a three-dimensional force guiding model, and the Barnes-Hut optimization algorithm extended to three dimensions is introduced in the graph layout process. The local part is laid out on the surface by using a spherical layout method. Finally, the WebGL, ThreeJS and other WEB three-dimensional graphics rendering technologies are used to realize the visualization display of the Ethereum head ecological network on the WEB side. The user can view the three-dimensional visualization model of the Ethereum transaction network in different ways, so that the user interaction process becomes more smooth, the details of the three-dimensional visualization model are controlled more deeply, and the search function in the model is provided, so that the user can quickly locate the node to be concerned.

The invention discloses an urban park three-dimensional green quantity and habitat quality collaborative evaluation and optimization method and system, and the method comprises the steps: combining a physical mechanism model (InVEST) with a data-driven machine learning algorithm (GLM + glmulti); a habitat quality collaborative evaluation and optimization model of different theme parks is constructed and trained by utilizing topographic data, land utilization type data, remote sensing vegetation indexes and meteorological humanity data of a large comprehensive ecological network space with multiple types of theme parks; according to the method, different and refined evaluation can be carried out for habitat quality of different types of parks, an ecological optimization strategy is formulated for the different types of parks, and the accuracy and scientificity of urban park ecological state evaluation are effectively improved.

This invention relates to a method for assessing the structure and stability of regional habitat ecological networks. It addresses the lack of existing technologies for dynamically and comprehensively assessing the structure and stability of habitat ecological networks. The method comprises: 1. Constructing a regional habitat ecological network; 2. Assessing the structural characteristics of the regional habitat ecological network; 3. Assessing the connectivity of the regional habitat ecological network; 4. Constructing multiple scenarios for assessing the stability of the regional habitat ecological network; 5. Assessing the resilience stability of the regional habitat ecological network based on natural and anthropogenic disturbance scenarios; 6. Assessing the recovery stability of the regional habitat ecological network based on natural and anthropogenic recovery scenarios. This invention achieves a comprehensive and dynamic assessment of the structure and stability of habitat ecological networks, providing a scientific basis for ecological protection decisions and enhancing the adaptability of habitat ecological networks under natural and anthropogenic disturbances.

The embodiment of the invention provides an urban ecological space layout optimization method and device, and the method comprises the steps: obtaining a multi-source spatial data set of a target urban region, evaluating different types of ecological functions in parallel, and generating a group of distribution diagrams representing different ecological functions; based on the generated group of distribution diagrams and basic geographic data, carrying out ecological space structure diagnosis, identifying an ecological source land, an ecological resistance surface, an ecological corridor and an ecological vulnerable node, and generating an ecological space diagnosis diagram set; the ecological fragile nodes comprise ecological pinch points and obstacle points; generating an ecological network strengthening graph based on the ecological space diagnosis graph set and urban space planning data; and generating a blue-green space optimization graph based on the generated group of distribution graphs and the ecological network enhancement graph, thereby realizing benefit optimization of comprehensive ecology and urban ecological space layout in a limited urban space.

This invention discloses a smart forestry ecological monitoring method and system based on cloud platform and edge computing, relating to the field of forestry resource management. The method includes: constructing a dynamic ecological network for a target forest area using monitoring nodes, spatiotemporal edges, ecological status, and dynamic weights as building elements, and applying dual-stream attention for dynamic constraints; performing homogeneous segmentation and solver construction, deploying distributed edge terminals and a cloud platform, with the edge terminals acting as relays and the cloud platform performing the solution; executing ecological monitoring of the first upper-level node, performing edge terminal feedback and integration, transferring the data to the cloud platform for multi-threaded parallel solving, determining the monitoring strategy and distributing it to the edge terminals, writing it into registers, generating vertical synchronization signals based on the spatiotemporal nature of the strategy, and executing directional driving monitoring management of the monitoring facility array. This solves the technical problem of existing smart forestry ecological monitoring systems' difficulty in achieving dynamic and accurate decision-making, achieving the technical effect of real-time generation and accurate execution of monitoring strategies.

The application relates to a kind of urban green space ecological network important ecological source place identification method, comprising: 1, determining the service object and dominant function of the object city ecological source place;2, screening out candidate ecological source place;3, constructing the index system of urban ecological source place identification based on social-ecological complex function, obtaining the classification grid map of each index corresponding to candidate ecological source place;4, the classification grid map data of each index is input into spatial principal component analysis tool to obtain the weight value of each index;5, the classification grid of all indexes is spatially superimposed, and the SEI is obtained by weighted calculation, and the importance classification of SEI is carried out;6, according to the preset importance level threshold, the corresponding grid layer is extracted and converted into vector surface layer, and the important ecological source place is extracted from the vector surface layer of candidate ecological source place.The application considers the social function and ecological function of ecological source place, meets the demand of human habitation and the demand of habitat survival of focal species, and realizes the identification of important ecological source place.

The invention provides a synthetic ecological network construction method and application of a coal deep CO2 sequestration area, and belongs to the technical field of bioengineering and carbon sequestration. The method comprises the following steps: constructing a coexistence network based on in-situ microbial data, and identifying functional targets according to topological attributes; designing a preliminary synthesis network scheme comprising four modules of environmental buffering, substrate processing, electron transfer strengthening and a methane production core aiming at a target spot; co-culturing the scheme and a representative native community in a system simulating stratum extreme conditions, and monitoring a cooperative operation state; performing evaluation according to a preset collaborative stability criterion; and if the evaluation is not passed, feeding back to the previous steps according to failure analysis to carry out parameter optimization until a final design scheme meeting the long-term collaborative stability requirement is obtained. According to the method, through closed-loop dynamic optimization, collaborative stability of the synthetic network and the native community is realized, and the long-term reliability and system robustness of biological methane production in the coal deep CO2 sequestration environment are improved.

The invention provides an ecological network landscape connectivity optimization method, and the method comprises the steps: determining a plurality of ecological sources of a target region based on a morphological spatial pattern analysis and ecological system service evaluation and tradeoff model; constructing an ecological network of the target region; determining importance scores of the mass centers of the plurality of ecological sources based on a comprehensive node importance evaluation model, and determining comprehensive importance nodes according to the calculated importance scores; based on a comprehensive ecological system service gravitation model, determining an initial edge weight between each node pair in the ecological network of the target region, and taking a reciprocal to obtain a final resistance between each node pair; based on each model, determining information, energy and material direction flow of each node pair, the cross strength of each node and a PageRank node; and determining a path with the minimum landscape resistance in the target area so as to improve the landscape connectivity. According to the method, the landscape connectivity can be improved, and more comprehensive support is provided for the sustainable development target of landscape planning.