17 results about "Habitat suitability" patented technology

The application provides a reservoir drawdown zone suitable habitat construction and precise vegetation restoration method, which comprises the following steps: S1, reservoir drawdown zone habitat suitability analysis; S2, reservoir drawdown zone vertical function partition; S3, microtopography regulation; S4, vegetation restoration species selection and partition function configuration. The application fully considers the reservoir periodic flooding rhythm and site environment difference, combines the partition prominent problems, screens the tree-shrub-grass vegetation, and optimizes the partition configuration, so that the functions and benefits such as soil fixation, bank protection, sand interception, pollution interception, water quality protection and biodiversity maintenance are maximized.

The application discloses a kind of fish suitable flow habitat spatio-temporal distribution calculation method and system, through basic data collection pre-processing, target fish life history and reservoir scheduling spatio-temporal matching, cascade reservoir dynamic backwater length calculation, habitat suitability determination of dehydration river section, spatial superposition between cascades, habitat time dimension accounting and spatio-temporal matrix construction, planning scheme compliance verification and the like steps, realize the spatio-temporal dynamic accurate delineation of the habitat of native fish suitable flow after cascade development.The application fully considers the water level fluctuation and backwater dynamic change of reservoir within a year, the differentiated habitat needs of different life history stages of target native fish, solves the industry pain points of traditional method such as insufficient accuracy, disconnection with protection target and lack of time dimension evaluation, and can provide scientific and accurate technical support for basin hydropower development layout optimization, ecological protection measure formulation and planning scheme environmental impact assessment comparison.

This invention provides a method and system for extracting the habitat suitability distribution of grassland caterpillars, comprising: acquiring multi-source data; constructing a multi-dimensional habitat factor system based on the ecological response relationship of grassland caterpillars to habitat factors at different life stages; identifying key habitat factors in the multi-dimensional habitat factor system; constructing spatially structured samples based on the species-accessible areas of grassland caterpillars to obtain a structured sample set; constructing an integrated small model based on key habitat factors and the structured sample set; the integrated small model is obtained by weighted integration of multiple sub-models, each sub-model being constructed from at least one key habitat factor; evaluating and optimizing the integrated small model and decision threshold to determine the optimal model and optimal threshold; and using the optimal model and optimal threshold to extract and classify the habitat suitability of the test area, generating a grassland caterpillar habitat suitability distribution map, thereby enhancing the stability of the model in extrapolation prediction and improving the accuracy of prediction.

This invention belongs to the field of remote sensing technology and discloses a method for optimizing habitat quality parameters in the InVEST model based on Remote Sensing Ecological Indices (RSEI). This invention overcomes the technical bottleneck of traditional InVEST models, which rely on manual experience to set parameters and are difficult to update dynamically over time. By constructing a multi-source remote sensing data-driven RSEI, and utilizing its statistical characteristics and spatial distribution patterns across different land use types, it achieves objective quantification and dynamic updating of four key parameters: habitat suitability, threat weight, threat attenuation distance, and habitat sensitivity. Without requiring data from ecological monitoring stations, it directly incorporates continuous changes in ecological environment quality into the InVEST parameter system, resulting in higher objectivity, temporal consistency, and spatial autocorrelation in habitat quality calculations. This provides a novel technical approach for the automated and time-series assessment of regional-scale habitat quality.

This invention relates to a method for assessing the habitat of filter-feeding benthic animals and its application, belonging to the field of aquatic ecological environment assessment technology. This invention provides a method for assessing the habitat of filter-feeding benthic animals, comprising the following steps: (1) measuring water body indicators, processing the data to obtain water body physicochemical indicator data W1, sediment environment indicator data W2, food resource indicator data W3, and biological behavior adaptation indicator data W4; (2) calculating the habitat suitability index SEI; (3) assessing whether small water bodies are suitable for the survival of filter-feeding benthic animals based on the habitat suitability index. This invention is highly targeted, comprehensive in its indicators, precise in its quantification, and widely applicable. It can be used for habitat suitability assessment, ecological restoration effect monitoring, and artificial rearing area selection, etc., and has high application value and is easy to promote and implement.

This invention discloses a method for screening ecological source areas in densely populated urban areas that couples multiple factors with planning overlays. Belonging to the field of urban ecological planning, the method includes the following steps: screening of dual indicator species and construction of differentiated resistance surfaces; habitat suitability assessment and preliminary extraction of potential source areas; minimum cost path simulation under cost constraints; functional connectivity importance evaluation based on graph theory; three-factor coupled screening and source area classification; and verification and application feedback of overlay with statutory planning. This invention, a method for screening ecological source areas in densely populated urban areas that couples multiple factors with planning overlays, comprehensively evaluates the ecological value of patches from three dimensions: internal patch attributes, external migration resistance, and their connecting role in the network. This significantly improves the scientific rigor and comprehensiveness of source area screening, directly identifying ecological source areas covered, omitted, or requiring improvement under planning, providing clear and operable technical support for planning revision, implementation, and daily ecological management.

The application discloses a kind of wild animal habitat suitability evaluation method based on geographical weighted random forest classification model, belong to ecological information science, geographic information science, wild animal protection and machine learning technical field.The present application is aimed at the defects that existing global model cannot capture the spatial non-stationarity of environment-species relationship and traditional geographical weighted model is difficult to deal with nonlinear classification problem, constructs a spatial self-adaptive local random forest classification model system, completes the whole process of data library construction, spatial weight definition, optimal bandwidth optimization, global suitability prediction, result grading and driving factor analysis.The application significantly improves the habitat assessment accuracy in large-scale, high-heterogeneous habitat areas, can simultaneously analyze the dominant driving factors of species distribution in different regions, provides accurate scientific basis for wild animal habitat protection and nature reserve planning, and adapts to the evaluation needs of multiple types of wild animals.

This invention provides a method, medium, and system for constructing a predictive model for suitable habitats of the peach aphid, belonging to the field of peach aphid prediction technology. This invention obtains peach aphid distribution points from the Global Biodiversity Information Facility and obtains an effective set of coordinate points through spatial filtering. It then selects bioclimatic variables from the WorldClim database and obtains an effective set of variables through variance inflation factor screening and principal component analysis. The above data is input into the model to output the suitability probability. The uncertainty of the multi-climate model set is then modeled as a continuous probability density field to generate a probability suitability map. Simultaneously, the suitability probability and the effective variable set are input into a maximum entropy model and combined with elastic network regularization to output a habitat suitability index. Finally, spatial cross-validation is used to evaluate the accuracy, and the suitability zone classification and spatiotemporal change identification are completed based on the Jenks natural discontinuity classification method. This invention solves the technical problem that climate uncertainty cannot be continuously propagated in AI-driven species suitability zone prediction.

This invention relates to the field of animal ecology technology, and particularly to a habitat network optimization method coupling landscape and conflict resistance, comprising the following steps: S1, data extraction and preprocessing: the data includes: LULC, topography, normalized difference vegetation index, multi-year average precipitation, roads, species distribution, and incident data; S2, calculating the species habitat suitability index using the HSI model and determining the comprehensive weight of each evaluation factor; S3, classifying the normalized species habitat using the natural discontinuity method; S4, selecting habitat evaluation factors and quantifying them using the analytic hierarchy process (AHP); determining the weights of habitat evaluation factors using the entropy weight method; and identifying the optimal ecological source area using the ant colony algorithm; S5, constructing a spatial absorption Markov model. This application enables more scientific and efficient formulation of species conservation strategies, providing a theoretical basis for biodiversity conservation.

This invention relates to the field of water conservancy and hydropower engineering, and particularly to a method for assessing the ecological water requirement of mangrove plants. The method includes: selecting the *Prunus mume* species with the highest area proportion in the mangrove community as the target species within a target area; determining the habitat requirements of the target species during sensitive growth and development stages, and selecting factors sensitive to flow rate changes as habitat suitability indicators, including salinity and immersion time; constructing a three-dimensional temperature-salinity coupled hydrodynamic model, including three-dimensional hydrodynamic control equations, temperature transport control equations, and salinity transport control equations, to simulate the salinity and immersion time in the target species' distribution area under different flow rate conditions; and based on the simulated salinity and immersion time results, combined with a pre-set threshold range for habitat suitability indicators, using the flow rate corresponding to the upper limit of the threshold range as the ecological water requirement of the mangrove plants.

The application discloses a pelagic fishing ground fish population distribution prediction method and system, and belongs to the technical field of pelagic fishery informatization. The method fuses six marine environmental elements, i.e. sea surface temperature, sea surface salinity, chlorophyll a concentration, sea surface height anomaly, current field and mixed layer depth, learns fish population habitat preference by constructing positive and negative samples to train a gradient boosting classification model, calculates habitat suitability index point by point to identify high-probability fishing grounds, and predicts seasonal migration trajectories of the fishing grounds by using a long short-term memory network. The prediction results are sent to fishing vessels through Beidou short messages and feedback is received to drive model incremental updating.

This invention discloses a multi-objective optimization method for fish habitat restoration projects based on reservoir scheduling constraints. It relates to the field of habitat restoration technology and addresses the technical problems of existing technologies, such as poor climate adaptability, reliance on experience, unsustainability in mountainous rivers, conflicts with reservoir scheduling, insufficient connectivity, difficulty in ensuring long-term restoration effects, and difficulty in significantly improving the accuracy of fish habitat restoration while ensuring the safe and efficient operation of reservoirs. The method employs CMIP6 climate downscaling hydrological prediction, embedding rigid constraints of reservoir scheduling, quantitative modeling of habitat suitability, collaborative evaluation of vertical and horizontal connectivity, dynamic coupling of sediment-landform habitats, and the NSGA-III algorithm for solving multi-objective optimization and closed-loop monitoring and evaluation. Combining the ecological habits of target fish species, such as temperature orientation, migration, reproduction, and foraging, a habitat hydraulic index-habitat suitability response model is constructed to assess the impact of key factors such as flow velocity, water depth, water level, and water temperature on the habitat.

The application discloses a crested ibis recognition and ecological monitoring method based on multi-modal data fusion, relates to the technical field of wild animal ecological monitoring, and comprises the following steps: installing a micro Beidou positioning tracker on a crested ibis individual to collect activity trajectory data, arranging visible light and infrared thermal imaging equipment in the main habitat and foraging area of the crested ibis, arranging an acoustic sensor array around the night habitat and breeding ground, and acquiring visual and acoustic feature data sets.Through a cross-modal attention mechanism, three types of features are adaptively weighted and fused to generate a multi-modal joint feature vector containing time and space context information, which is associated and matched with a preset ecological database, an behavior-environment correlation model is established, and a foraging preference index, habitat suitability score and activity path planning scheme are output.The method integrates multi-modal data for joint analysis, completes the quantitative output of crested ibis ecological monitoring, and improves the integrity of crested ibis recognition and ecological monitoring.

The invention discloses an island wetland habitat restoration and biodiversity conservation method. The method comprises the following technical links of embankment breaking and embankment removing, obstacle removing and slope changing, terrain shaping, vegetation rebuilding and invasive species prevention and removal. By implementing the technical scheme, the ecological dilemma that the habitat of the island wetland is damaged, the livability of birds is poor, the living of caves and two-climbing animals is difficult, and a food chain is broken can be effectively relieved, and the habitat improvement of the island wetland and the rapid recovery of beach land vegetation are realized; an inhabiting space which is rich in vegetation, friendly in habitat, sufficient in food source, capable of resisting natural storm attack and beneficial to migration activities is provided for various organisms of the island, and stability of biological diversity of the wetland of the island is facilitated.