66 results about "Biodiversity conservation" patented technology

The invention provides a wetland ecological protection area biodiversity evaluation system, and relates to the technical field of ecological system diversity evaluation. The evaluation system comprises a data acquisition and management module, a species diversity analysis module, an ecological system function evaluation module, a threat factor identification and analysis module, a decision support and suggestion module and a data visualization and report module. According to the invention, the system is a platform integrating data collection, analysis, assessment and decision support, aims to comprehensively assess the biological diversity condition in the wetland ecological system and provide a scientific basis for sustainable management and protection of the wetland, not only can realize scientific and systematic management of wetland ecological protection, but also can provide a scientific basis for the sustainable management and protection of the wetland. The sustainable development of biological diversity protection can be promoted, the relationship between the biological diversity and ecological processes such as material circulation and energy flow in the wetland ecological system can be better understood through the evaluation system, and the ecological process of the wetland ecological system can be deeply understood.

The present invention belongs to the ecological field and provides a reservoir ecological regulation method that meets the requirements of fish spawning occurrence and fish egg density, including: obtaining the natural reproduction characteristic information and habitat information of fish species that produce drifting eggs in the regulated target river section, and determining the regulated target fish species; obtaining the first key habitat information required when the spawning occurrence probability of all fish species that produce drifting eggs and the regulated target fish species is not less than a first preset threshold; obtaining the second key habitat information required when the fish egg density of all fish species that produce drifting eggs and the regulated target fish species is not less than a second preset threshold; determining a reservoir ecological regulation plan according to the first key habitat information and the second key habitat information of the river section; and carrying out reservoir ecological regulation according to the reservoir ecological regulation plan. Through the above technical solution, the adverse impact of reservoir regulation operation on the spawning of fish species that produce drifting eggs can be alleviated, which is beneficial to promoting the restoration of fish resources and the protection of biodiversity.

The invention provides a method for constructing a watershed ecological safety pattern based on multi-target management, and the method comprises the steps: forming the construction of a watershed hydrology and water resource safety pattern, a water pollution safety pattern, a biological safety pattern and a historical and cultural heritage safety pattern through key node and landscape structure analysis, landscape pattern control mode analysis and other spatial analysis technologies; carrying out superposition calculation on different importance degrees of different grids under different target security patterns, carrying out ecological suitability analysis through landscape features and structures, then judging key areas and nodes for guaranteeing the ecological security pattern of the watershed, and correspondingly determining the positions of the key areas needing to maintain the ecological current situation or carry out ecological construction optimization; the comprehensive optimization research of the drainage basin multi-target ecological safety pattern construction technology is carried out, and multiple different-dimension management targets such as drainage basin function layout optimization, water quality pollution treatment, water resource space-time optimization configuration, biodiversity conservation, historical and cultural heritage protection and subsequent government function management and policy and measure compilation are optimized and realized at the same time.

The invention discloses a predictive analysis method for spatio-temporal distribution of a species structure, and belongs to the technical field of ecological data analysis. The method comprises the following steps: S1, monitoring species data and related environmental factor data in a specific space-time range; s2, calculating a species uniformity index representing community stability based on the species data; s3, performing quantitative evaluation on the monitored environmental factor data by adopting a preset index evaluation method; s4, establishing a functional quantitative relationship between the species uniformity index and one or more environmental factor state indexes; and S5, simulating and predicting the variation trend of the species uniformity index in the future. By focusing the quantitative correlation between the species uniformity and the environmental factors and constructing the prediction model based on the correlation, the community structure change can be more sensitively captured, and the potential influence of the environmental change on the community stability can be quantitatively predicted; and more accurate and more targeted scientific basis and decision support are provided for prospective biodiversity protection and ecological system management.

The invention belongs to the field of ecology, and provides a reservoir ecological scheduling method capable of meeting fish spawning occurrence and roe density requirements, which comprises the following steps: acquiring natural reproduction characteristic information and habitat information of fishes laying drifting roes in a scheduling target river reach, and determining the scheduling target fishes; acquiring first key habitat information required when the spawning occurrence probability of all the fishes laying the drifting eggs and the scheduling target fishes is not less than a first preset threshold value; acquiring second key habitat information required when the roe density of all the fishes laying the drifting roes and the scheduling target type of roes is not less than a second preset threshold value; according to the river reach first key habitat information and the river reach second key habitat information, determining a reservoir ecological scheduling scheme; and performing reservoir ecological scheduling according to the reservoir ecological scheduling scheme. By means of the technical scheme, the adverse effect of reservoir dispatching operation on spawning of the fishes laying the drifting eggs can be relieved, and fish resource recovery and biodiversity protection are facilitated.

The invention belongs to the technical field of ecological protection and climate change adaptability management, and relates to a climate change response type waterfowl ecological corridor dynamic simulation and optimization system and method. The system is composed of a data acquisition and preprocessing module, a multi-model coupling simulation module, a dynamic optimization analysis module and a visual output module, and all the modules realize data interaction and flow control through standardized interfaces. According to the method, the dynamic response simulation and optimization of the waterfowl ecological corridor to the climatic change under the regional scale are realized for the first time, and the accuracy, systematicness and practicability of the dynamic simulation of the waterfowl ecological corridor under the climatic change are improved; through integration of climate data, a maximum entropy model, a minimum resistance model and a current theory, multi-scene, multi-scale and multi-species ecological corridor dynamic optimization is realized, and accurate prediction of a waterfowl ecological corridor under climate change, key node identification and intelligent generation of an adaptive protection strategy are realized. And accurate decision support is provided for biodiversity protection under climate change.

The invention relates to a wildlife intelligent monitoring device and method based on multi-modal fusion and an ad hoc network, and relates to the technical field of wildlife monitoring. Through fusion of binocular infrared vision and microphone array hearing, more comprehensive and more accurate wild animal activity information can be obtained, and the limitation of a single sensor is overcome; intelligent false trigger screening and species identification are realized through a WS-YOLO algorithm of an equipment end, manual intervention is reduced, and data processing efficiency is improved; through the ad hoc network technology, the monitoring system can cover a wider network-free area, and equipment deployment is more flexible and is not limited by network infrastructures; by reducing false triggering, local intelligent processing and efficient data transmission, the cost of data storage, transmission and later manual analysis is reduced. The method provides a more powerful technical means for dynamic monitoring of wild animal populations, behavioral ecology research, biodiversity protection and the like, and has important ecological protection and scientific research values.

The invention relates to an ecological acoustic monitoring method and device for large benthonic animals in a mangrove forest area, and belongs to the technical field of ecological monitoring. Acoustic sensors are arranged on the bottom surface and the bottom inside of sediment in the mangrove forest area, acoustic signals of the large benthonic animals in the mangrove forest area are collected in real time, and in combination with sedimentary environment parameters of the monitoring area, the large benthonic animals in the mangrove forest area are monitored. And identifying and analyzing functional groups, relative abundance, activity rules and the like of the large benthonic animals by utilizing an acoustic signal processing algorithm according to the parameters such as moisture content, porosity, granularity, temperature, salinity and the like. The method can realize long-term, continuous and non-invasive monitoring of the large benthonic animals in the mangrove forest region, has the characteristics of high precision, high efficiency and low interference, and is suitable for health assessment and biodiversity protection of a mangrove forest ecosystem.

This invention discloses a deep learning-based method for predicting the phenological synchronization of specialized butterflies and their host plants, belonging to the interdisciplinary field of biodiversity conservation, ecological prediction, and deep learning technology. The method includes: collecting environmental climate variables, butterfly occurrence data, and phenological time-series data of their host plants; preprocessing the data to create training and validation sets; constructing a dual-label system with the day of year (DOY) of butterfly occurrence peaks (e.g., emergence peak, egg-laying peak) as the primary label and the normalized value of synchronization deviation as the secondary label; building a deep learning model with ecological weights, including an embedding layer, an LSTM layer, and a fusion layer; inputting a vector concatenated from daily or weekly climate time-series features and ecological dynamic features; and outputting the primary and secondary labels through a dual-output layer; designing a hybrid loss function that integrates the main regression loss, ecological synchronization constraint loss, and small-sample regularization loss; training the model using the Adam optimizer and implementing an early stopping mechanism; and validating and evaluating the model using regression accuracy and ecological synchronization accuracy indicators. The method includes modules for data acquisition, preprocessing, label construction, model training, prediction evaluation, and storage. This invention improves the accuracy of phenological synchronous prediction by embedding ecological dynamic feature weights and dual-label constraints, adapts to small sample scenarios, and provides technical support for the monitoring and protection management of rare butterfly species (such as the Golden Birdwing and the Chinese Tiger Swallowtail).

The invention discloses an ecological real estate mode and an application method, and belongs to the technical field of ecological funeral and interment and comprehensive utilization of land resources. Aiming at the problems of land resource waste, ecological destruction, insufficient culture inheritance and the like of a traditional funeral and interment mode, the invention provides an ecological real estate mode integrating cemetery and woodland, which comprises the following core contents: (1) renovating barren mountains, shrubs and the like into special forests taking commemoration as a theme through ecological restoration; dividing a commemorative area, an ecological restoration area and a public green land; (2) a three-dimensional cadastral model is created for the first time, the earth surface forest right, the underground burial right and the spatial information right are defined, and earth ownership sharing is achieved; (3) introducing a digital technology, binding an entity tree and virtual information through a digital tombstone and an Internet of Things system, and supporting RFID / two-dimensional code label tracking, block chain evidence storage and carbon sink real-time metering; (4) in combination with a carbon sink transaction mechanism, forest land carbon sink benefits are converted into economic benefits, and green transformation of the funeral and interment industry is promoted; and (5) providing a personalized service module which comprises a tree seed selection platform, a funeral self-service platform and an intelligent management platform so as to meet diversified requirements. According to the mode, through the three-in-one design of ecological restoration, culture inheritance and economic sustainability, the land saving rate is 1: 10, collaborative development of biodiversity protection and rural economy is promoted, and a full-chain solution is provided for ecological funeral and interment.

This invention relates to a method and apparatus for ecoacoustic monitoring of macrobenthic animals in mangrove areas, belonging to the field of ecological monitoring technology. Based on acoustic propagation characteristic data in mangrove areas, this invention deploys acoustic equipment to monitor and identify functional groups of macrobenthic animals, statistically analyzes the relative abundance of these functional groups, and finally assesses the acoustic diversity of macrobenthic animals based on the analysis results. By optimizing the deployment of acoustic sensors, developing efficient acoustic signal processing algorithms, and integrating environmental parameter monitoring, this invention achieves long-term, continuous, and non-invasive monitoring of macrobenthic animals in mangrove areas, providing scientific basis and technical support for the health assessment of mangrove ecosystems and biodiversity conservation.

The invention discloses a method for determining an ecological hydrological threshold value of key hygrophytes of a butterfly-shaped lake. The method comprises the following steps: constructing a test device near the butterfly-shaped lake; healthy seedlings of key hygrophytes are collected in a butterfly lake area, and the seedlings are transplanted into a planting barrel filled with in-situ soil for pre-culture; a plurality of flooding simulation scenes are set, simulation tests of the flooding simulation scenes are carried out respectively, and growth parameter data of key hygrophytes in the flooding simulation scenes are measured; according to the measured growth parameter data, respectively performing polynomial fitting on the flooding depth and the flooding duration with each growth parameter; and according to the polynomial fitting equation, determining the appropriate flooding depth and the appropriate flooding duration of the key hygrophytes. According to the method, the ecological hydrological threshold value of the key hygrophytes of the dish-shaped lake is determined, and the influence rule of the hydrological rhythm on the growth and development of the hygrophytes of the dish-shaped lake is quantified, so that a scientific support is provided for biodiversity protection and ecological environment restoration of a dish-shaped lake region.

The invention discloses a biodiversity protection water level intelligent regulation and control recovery device which comprises a base, supporting legs are fixedly connected to four corners of the bottom of the base, anchoring reinforcing assemblies are arranged on the outer walls of the four supporting legs, a controller is fixedly connected to the top of the base, and a water storage tank is fixedly connected to the rear side of the top of the base. A filtering assembly is arranged on the left side of the top of the base, and a drainage head height adjusting assembly is arranged on the right side of the top of the base; according to the intelligent water level regulation and control recovery device for biodiversity protection, the device is combined with deep firmer soil through the arranged anchoring reinforcing assembly, and it is ensured that the whole device does not settle, incline or shift in long-term operation; the filter assembly is arranged, so that the diversity protection of the protists in the intervention process is realized; and the arranged drainage head height adjusting assembly lifts the drainage head to a proper height, so that water flow is prevented from directly impacting the bottom of the wetland, and the living environment is protected.

The invention belongs to the technical field of ecological environment and water conservancy, and particularly provides a lake wetland migrant bird habitat suitability simulation and prediction method and system based on a CA-Markov model.The method comprises the steps that lake wetland migrant bird habitat element types, lake terrain data and daily scale site water level data are obtained; hydrological situation indexes of the lake wetland are obtained through an inverse distance weight space interpolation method; screening main hydrological situation indexes influencing the habitat elements of the migrant birds, and establishing a fitting relationship between the hydrological situation indexes and the habitat elements of the migrant birds; a CA-Markov model is adopted to simulate and predict habitat elements of the migrant birds at the next moment, simulated plant types and rest land types are used as habitat elements of habitat suitability, and the habitat suitability of the migrant birds is obtained by calculating HSI indexes. The method provides important technical support for evaluation of the suitable habitat of the migrant birds in the lake wetland and protection of biodiversity.

1. The name of the design product: voiceprint detector. 2. The use of the design product: intelligent equipment for field animal sound recording and monitoring for biodiversity protection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 2.

Provided are a multi-species epigenetic modification prediction method and apparatus. The method comprises: acquiring a genome sequence and a pre-established multi-species epigenetic modification prediction model, wherein the multi-species epigenetic modification prediction model comprises a feature extraction module and a multi-task learning model; performing feature extraction on the genome sequence on the basis of the feature extraction module to obtain a feature representation; and inputting the feature representation into the multi-task learning model for prediction to obtain modification level data of each epigenetic modification type. By combining the feature extraction module and the multi-task learning model, a cross-species prediction capability is achieved, and modification level data of multiple epigenetic modification types can be predicted more accurately. The present invention can be widely applied to fields such as plant epigenetics research, agricultural production, and biodiversity conservation.

The invention discloses a biodiversity investigation monitoring method based on satellite remote sensing and environmental DNA sequencing. The method comprises the following steps: S1, acquiring habitat remote sensing data and environmental DNA data; s2, preprocessing the obtained data, and comparing the preprocessed data with a public gene database to obtain species distribution data; s3, performing time and space scale alignment and fusion on the habitat remote sensing data and the environment DNA data to generate a biodiversity feature data set; and S4, constructing and generating a correlation model and a three-dimensional model between the habitat and the species distribution, and visually displaying the dynamic change of the biodiversity. According to the method, the comprehensiveness, accuracy and timeliness of investigation and monitoring are improved, and a scientific basis is provided for biodiversity protection.

The invention discloses a mountain species protection system based on a microclimate and ecological niche model in the technical field of biodiversity protection, which comprises a microclimate sensor network module, a data preprocessing module, an ecological niche prediction module, a protection priority evaluation module and a decision output platform module, the microclimate sensor network module comprises a multi-type sensor unit, a gradient layout unit and a dual-mode transmission unit, the mountain species protection system based on the microclimate and ecological niche model is reasonable in structural design, the data precision is improved, the deviation problem of a traditional constant LRT hypothesis is solved through dynamic LRT monitoring, the protection pertinence is enhanced, and the reliability of the mountain species protection system is improved. A first-level protection area of a high-risk mountainous area is accurately identified, dynamic adaptability and a sensor network support real-time data updating, sudden climate changes can be dealt with, the practical value is remarkable, and the method can be applied to research concerned arid areas and high-humidity low-direct-reduction-rate areas.

The application discloses a biodiversity investigation and monitoring method based on satellite remote sensing and environmental DNA sequencing, comprising the following steps: S1, obtaining habitat remote sensing data and environmental DNA data; S2, preprocessing the obtained data and comparing with a public gene database to obtain species distribution data; S3, aligning and fusing the habitat remote sensing data and the environmental DNA data in time and space scales to generate a biodiversity feature data set; and S4, constructing a correlation model and a three-dimensional model between the habitat and the species distribution, and visually displaying the dynamic change of biodiversity. The application improves the comprehensiveness, accuracy and timeliness of investigation and monitoring, and provides a scientific basis for biodiversity protection.

The invention discloses a wetland ecological restoration water level regulation and control device, and relates to the technical field of ecological restoration, the wetland ecological restoration water level regulation and control device comprises a bottom plate, and the top of the bottom plate is fixedly provided with a storage box. In use, when the water level is detected to exceed a certain value, water in the wetland can be discharged under the action of structures such as a first water pump and a conveying pipe, and in the process, animal cubs and larger plants can be blocked under the action of a baffle and a protective net, so that the animal cubs and the larger plants are prevented from being discharged along with a water source; then, after the water source enters the separation box, under the action of a first precise filter screen and a second precise filter screen, algae plants in the water source can be blocked and filtered, the algae plants are prevented from being discharged, and therefore animals and plants in the wetland are prevented from being discharged together in the wetland drainage process and are protected; therefore, the biological diversity in the wetland is maintained, and the ecological environment of the wetland is protected.

The invention provides a lagoon face coast dune planting ecological construction method which comprises the steps that a sand blocking area, a dune development area and a plant protection area are sequentially arranged between a sea area and a lagoon face, the lagoon face is communicated with the sea area through a tidal channel, and the water level of the lagoon face is flush with the average sea level; the sand blocking area is located on the near sea area side, the initial line of the sand blocking area is formed by superposing wave climb on the local multi-year average large tide line, and Z1 = MHWS + R. According to the method, the coast sandstorm landform forming power and evolution mechanism is fully followed, the lagoon face sandy coast ecological characteristics and functional potentials are comprehensively considered, and the lagoon face sandy coast ecological characteristics and the lagoon face sandy coast ecological characteristics and the lagoon face sandy coast ecological characteristics and the lagoon face sandy coast ecological characteristics are comprehensively considered. Through application of environmental low-influence technical measures and reasonable layout of ecological space, natural development of coast dunes and rapid field planting and stable development of vegetation suitable for growth are promoted, the ecological space beneficial to plant growth, coast sandy soil stabilization and biological diversity conservation is built, and healthy development of a complete ecological system of the coastal zone is promoted.

The application provides a method for efficiently breeding Actinidia chinensis, comprising the following steps: taking leaves or stem segments of Actinidia chinensis as explants, and performing culture treatment including induction culture on the explants to obtain Actinidia seedlings; wherein an induction culture medium used in the induction culture comprises an MS culture medium and an additive, the additive is selected from at least two of KT, 2,4-D, 6-BA, NAA, IBA and IAA; and in the culture medium, the content of the KT is 0.05-0.1 mg / L, the content of the 2,4-D is 0.5-1.0 mg / L, the content of the 6-BA is 0.1-0.5 mg / L, the content of the NAA is 0.5-1.0 mg / L, the content of the IBA is 0.01-0.05 mg / L, and the content of the IAA is 0.5-1.0 mg / L. The method provided by the application overcomes the influence of environmental factors on the breeding of Actinidia chinensis, and helps the protection of biodiversity.

The invention relates to a method for predicting influence of climate change on plant distribution based on an artificial intelligence algorithm, and belongs to the technical field of plant distribution prediction. Global plant distribution data is obtained from GBIF, cleaned and then subjected to spatial matching with WWF ecological region vector data, species and ecological region IDs are associated, woody and herbaceous plants are distinguished, species names are standardized, the number of species in each ecological region is counted, and the ratio of woody and herbaceous plants is calculated and visualized; according to the method, current and future climate data are fused, a climate characteristic median of each ecological region is extracted, a species-climate relationship model is constructed by using a traditional linear regression and artificial intelligence algorithm, the influence of temperature, rainfall, human footprint and temperature seasonality is analyzed, and finally the distribution pattern of two types of plants in a future climate scene is predicted. Through multi-scale data coupling and nonlinear modeling means, a scientific basis is provided for biodiversity protection and adaptive management under a global change background.

The invention provides a biodiversity monitoring method fusing an eDNA macro bar code and morphology. The method comprises the following steps: collecting an eDNA water sample and a morphological sample in parallel at the same sampling point and the same moment; the eDNA water sample is subjected to DNA extraction, PCR amplification, high-throughput sequencing and bioinformatics analysis, and a species screening result is obtained; preparing a morphological sample, performing targeted screening on key species according to a species screening result, and performing morphological identification on the key species; and according to a pre-constructed comprehensive evaluation model, fusing the species screening result and the morphological identification result, carrying out weight distribution and abundance correction, and outputting a monitoring result. By fusing the high efficiency of the eDNA macro bar code technology and the reliability of morphological verification, the accurate monitoring method with high sensitivity, high accuracy and comprehensiveness is provided, and a scientific basis is provided for aquatic ecological environment evaluation, pollution abatement and biodiversity protection.

The present application belongs to the field of ecological environment protection and biodiversity protection, and specifically relates to a method for breeding courtyard butterflies based on configuration of larval host plants and adult nectar plants, which comprises the following steps: selecting butterfly species with ornamental or ecological value suitable for local ecological conditions and determining the larval host plants and adult nectar plants of the butterfly species; setting up a net cage according to the size of the courtyard, determining the number of butterflies to be released according to the spatial requirements of the selected butterfly species, and arranging the corresponding number of host plants and nectar plants in the net cage; setting up a suitable microenvironment in the net cage, including setting up a flat tray filled with wet sand or containing honey water, and improving the lighting facilities of the net cage; installing a monitoring equipment terminal and an electronic monitoring system to record and analyze the activities of the butterflies, the states of the host plants and the nectar plants in real time. The present application has the characteristics of low initial investment cost, low access threshold and high upper limit of development, and is simple to operate, suitable for various places and has a wide application prospect.

The invention provides a wild flower combination for resisting alien plant invasion and application thereof, and belongs to the professional field of landscape gardens and ecology. The wild flower combination comprises the following flower species: laces, common spilanthes, lythrum salicaria, pennisetum alopecuroides, perennial salvia, rhododendron simsii, sanguisorba officinalis, polypogon fugax, salvia plebeian, roegneria erecta, linaria lingua, salvia palustris, echinacea purpurea, sessileflower desmodium, corn poppy, cirsium setosum, hispid arthraxon, duchesnea indica, potentilla serrata, selfheal, dandelion and herba violae. By considering the reasonable configuration of plants with different heights, the phenological difference of perennial root plants and annual and biennial plants and the competitive relationship between the planted plants and weeds, a high-density vegetation area is created, ecological design is performed from three dimensions of space, time and functions, the alien plant invasion resistance of the wild flower combination community is remarkably enhanced, and the survival rate of the wild flower combination community is increased. Meanwhile, the biodiversity protection and the landscape effect improvement are both considered.

The present invention provides a multi-level trophic level marine ecosystem simulation device and simulation method, which belongs to the field of marine ecological simulation technology. The device can simulate different marine environments such as coastal, shallow sea, lagoon, hydrothermal vent, etc. by controlling equipment parameters. The method simulates the multi-level biological nutritional structure in different ecosystems by configuring the biological species and quantity of different producers, consumers and decomposers, and combines the environment and organisms to simulate the ecosystem, restore the actual situation in the field to the greatest extent, and realize comprehensive simulation of the ecosystem; at the same time, the cooperation of various devices such as water replenishment, temperature control, circulation, light control, and monitoring can maintain the stability of the ecosystem for a long time, providing stable simulation experimental conditions for quantitative research on marine ecology such as the interaction between organisms and the environment, and also providing experimental method support for achieving carbon neutrality and biodiversity protection.

This invention discloses a marine biodiversity conservation device based on an underwater acoustic monitoring system in the field of biodiversity conservation technology. The device includes: a float with an installation component at its bottom, a sound wave generator and a sonar locator mounted on the installation component, and a controller on the float; a mounting ring and a drive assembly for rotating the mounting ring are located at the top of the float; several connecting rods are provided on the outer wall of the mounting ring, and a slot is provided at the end of each connecting rod away from the mounting ring; a storage tank is provided on the mounting ring, and a delivery pump is installed inside the storage tank; the device rotates the mounting ring along with the connecting rods, discharging feed from the slot to feed the fish population to be protected; in this application, the controller controls the sound wave generator to emit inducing sound waves to attract the fish population to the vicinity of the float, and then the controller controls the delivery pump and drive assembly to release feed into the sea, thereby increasing the survival rate of the fish population and improving marine biodiversity.

The invention belongs to the technical field of ecological protection and biodiversity monitoring, and relates to a bird diversity seasonal driving mechanism evaluation method, which comprises the following steps: acquiring and processing climate, land utilization, elevation and bird observation data; generating a high-resolution bird diversity spatial distribution surface through collaborative Kriging interpolation; a climate-land utilization coupling index is constructed, and a coupling analysis framework of multiple driving factors is established; applying a random forest model to quantify key driving factors of local scale bird diversity space-time seasonal change; and generating an active adaptive protection strategy. According to the method, a climate-land utilization coupling index and a multi-driving factor coupling analysis framework containing extreme climate events are constructed, and a random forest machine learning algorithm is utilized to quantitatively reveal a seasonal driving mechanism of local scale bird diversity space-time difference. According to the method, the model analysis precision reaches 94%, the spatial resolution reaches up to 100 meters, and a verifiable and popularized active adaptation tool is provided for biodiversity protection.