239 results about "Biodiversity" patented technology

The invention relates to the technical field of environment management, in particular to a marine environment risk assessment method and system based on multi-source data fusion, and the method comprises the following steps: carrying out the assessment based on the multi-source marine environment monitoring data through the data integrity, consistency and timeliness of a plurality of data sources, and calculating efficiency scores of the plurality of data sources and adjusting the contribution proportion of the target data source to generate a multi-source data fusion model. According to the method, by analyzing the efficiency of multiple data sources, adjustment of data source contribution is achieved, dynamic adaptability and flexibility of data fusion are optimized, the accuracy and timeliness of marine environment risk assessment are improved, and detection and recognition of abnormal data of multiple environment indexes are achieved by combining analysis of water quality related indexes and temperature data; through analysis of marine development activity events, a decision basis is provided for adjustment of marine management policies, and accurate assessment of marine environment risks is realized in combination with prediction of marine biological diversity.

The invention belongs to the technical field of computer data processing, and provides a biodiversity inversion method based on multi-source remote sensing image fusion. Comprising the steps of remote sensing image data acquisition, image preprocessing, image fusion processing, multispectral resolution image data generation, spectral feature extraction, final frequency feature extraction, feature integration and target ecological variable prediction. According to the invention, through wave basis adaptive selection and multi-scale wavelet decomposition, spectrum fidelity and space structure maintenance are considered, differential fusion of high and low frequency components under different scales is realized, and multi-source data complementarity and fusion image quality are improved; through spectral resolution refinement processing and multi-bandwidth scale simulation, the limitation of single resolution is broken through, and the capability of capturing complex spectral features of vegetation is enhanced; the spatial correlation is enhanced through spatial neighborhood feature fusion; and through an ecological variable inversion estimation model, multi-index synchronous prediction is realized, and the universality of the model is improved.

The invention discloses a water conservancy and hydropower project ecological scheduling optimization method, and relates to the technical field of water conservancy and hydropower ecological scheduling, and the method comprises the steps: carrying out the fine ecological region division of a river channel, and dividing the river channel into a plurality of regions with definite ecological functions through combining a plurality of factors. By monitoring the ecological water demand of different ecological regions in the river channel in real time, the actual demand condition of each ecological region is accurately mastered, so that the ecological scheduling scheme is individually formulated according to the characteristics of different ecological regions, the scheduling accuracy is improved, the ecological model comprehensively considers multiple factors such as hydrology, water quality, ecology and meteorology, and the ecological scheduling efficiency is improved. According to the method, the change trend of the ecological water demand of different ecological areas can be predicted, a suitable living environment is provided for various aquatic organisms by accurately meeting the ecological water demand of different ecological areas, protection of rare and endangered species is facilitated, stable development of biocenosis is promoted, and the biodiversity level of a whole river ecosystem is improved.

The invention discloses a marine fishery resource survey station adaptive optimization method based on a space-time coupling model. According to the method, a space-time continuous species distribution dynamic reference field is constructed by coupling a Bayesian hierarchical species distribution model and a regional ocean model system; performing ecological layering based on time, space and environment dimensions; and when the environment variables change significantly, a habitat suitability index is dynamically reconstructed, and the station layout is optimized again, so that the coverage of a key ecological hot spot area is ensured, and the in-gradient representativeness is maintained. The method has the advantages of fast environmental response, strong spatial representativeness, high adaptability and the like, and is suitable for scenes of resource assessment, ecological protection, biodiversity monitoring and the like.

The invention provides a biodiversity influence comprehensive evaluation method and system based on multi-source ecological factors, and relates to the technical field of biodiversity analysis, and the method comprises the steps: obtaining multi-source ecological factor data of a geological disaster control influence region, and carrying out the maximum likelihood estimation and kernel function learning processing of the multi-source ecological factor data to obtain a space-time intensity field; performing adaptive time-frequency decomposition processing based on the time-space intensity field and the time sequence of the community functional traits to obtain a multi-scale modal set; performing low-rank dynamic recognition processing on the multi-scale modal set to obtain an approximate operator and control gain pair; performing sparse regression modeling processing to obtain a nonlinear state equation set; and carrying out distribution displacement measurement processing based on the nonlinear state equation set and preset quadrat baseline distribution to obtain a comprehensive evaluation result of the biodiversity influence. According to the method, the problems of single index, rough modeling and lack of multi-scene prediction capability in the prior art are solved.

The invention belongs to the technical field of ecological restoration and wetland engineering, and discloses an ecological corridor-based abandoned fishpond ecological restoration method, which comprises the following steps: S1, land forest restoration: planting saline-alkaline tolerant vegetation around an abandoned fishpond and in a land and abandoned fishpond transition area in a layered manner; s2, mangrove forest wetland construction: performing microtopography modification to adjust the bottom mud elevation, and planting mangrove forest plants in a layered manner; s3, ecological corridor construction: constructing an ecological corridor on one side of the abandoned fishpond and the land, and constructing an ecological corridor on one side of the abandoned fishpond and the ocean; s4, ecological monitoring and maintenance: carrying out hydrological, tidal and biological detection regularly; the three-dimensional ecological corridor system of'land forest-mangrove forest wetland-ocean 'is constructed, and the abandoned fish pond is transformed into the mangrove forest wetland, so that not only are biodiversity improvement and ecosystem connectivity realized, but also stable migration and inhabitation space can be provided for terrestrial and aquatic organisms.

The invention discloses a flue gas sulfur dioxide concentration prediction method based on variational mode decomposition and integrated learning, which comprises the following steps: for a flue gas SO2 concentration sequence collected in a flue gas desulfurization system, firstly decomposing the time sequence into a plurality of internal mode functions by using a variational mode decomposition method; then, a feedforward cascade neural network, a long short-term memory network and an autoregressive integral moving average model are used as base learners, and the dynamic characteristics of each modal function are learned; and finally, training element learners based on prediction results of all the base learners, and establishing an integrated model of each modal function. And recombining the predicted values of all the integrated models to realize the prediction of the SO2 concentration of the discharged flue gas. Accurate prediction of sulfur dioxide in discharged flue gas is beneficial to reduction of air pollution, prevention of formation of acid rain and protection of an ecological system and biological diversity. By adopting emission reduction measures and optimizing the production process in advance, enterprises can reduce the environmental protection treatment cost and improve the green production level.

The invention discloses a biological diversity zoning management and control optimization method based on noise influence, relates to the technical field of noise pollution, and aims to solve the problems that airport noise zoning management and control can only be carried out through the density of aircraft noise, the diversity of bird species is not considered, the applicability of sensitivity difference of the bird species is reduced, and the reliability of the airport noise zoning management and control is affected. The method solves the technical problem that the airport noise zoning control is not scientific due to the fact that the airport noise exposure area is large in size and different in noise influence degree, and comprises the following steps that biodiversity distribution zoning in the airport noise exposure area is obtained, gridding processing is conducted on the airport noise exposure area, and an airport noise exposure area grid is determined; according to the method, the airport bird noise influence grid diagram and the ecological environment sensitivity grid diagram are combined, and the three targets of the biological diversity, the airport noise and the ecological environment sensitive area are combined, so that the airport biological diversity zoning control is realized, and the applicability of the bird species sensitivity difference is guaranteed.

The invention relates to the technical field of ecological risk assessment, and discloses an ecological risk assessment method and system based on biodiversity, and the method comprises the steps: introducing a space-time convolutional neural network and an ecological network analysis model, and combining with dynamic correlation analysis to dynamically recognize the correlation between key species and ecological system function degradation. Not only can the space-time degradation trend of biodiversity and ecological system functions be predicted, but also key driving factors, high-risk nodes, high-risk time periods and time dynamic influence paths of key species on ecological system function degradation of ecological risks can be identified based on the trend, so that the accuracy of an ecological risk assessment result is improved; and a more scientific and accurate basis is provided for ecological risk management.

The present invention relates to the technical field of ecological restoration. Disclosed are an aquatic ecological restoration method and system based on artificial reefs. The method comprises: acquiring topographic data; deploying artificial reefs having different structures; performing water quality monitoring to acquire water quality parameters; on the basis of the water quality parameters, adjusting the species composition of fishes and benthic organisms, and monitoring the water flow velocity and the water flow direction around the artificial reefs having different structures; formulating a plurality of restoration strategies; and validating the plurality of restoration strategies to obtain an optimal restoration strategy. The present invention can significantly improve the water quality, and can also enhance the biodiversity, optimize the water flow conditions, precisely identify polluted zones and determine an optimal restoration strategy, thereby achieving significant economic and social benefits. Therefore, the present invention is an efficient and sustainable aquatic ecological conservation measure.

The invention discloses a large model generation code traceability method, system and device based on reversible watermarks and a medium, and belongs to the technical field of intelligent information processing. The method comprises the following steps: firstly, constructing a training data set by mixing natural background noise, pure biological sound and ship noise, carrying out iterative optimization by utilizing a pre-training model and combining a diffusion probability model, and learning a mapping relation of noise addition and removal; in the reasoning stage, model output is dynamically adjusted through the condition guidance technology, target biological sound and background noise are accurately separated, and the enhancement effect is evaluated in combination with the verification set and actually collected data. According to the method, the extraction precision and purity of marine organism sound in a noise environment are remarkably improved, the problems of poor adaptability and low efficiency of a traditional method are solved, and the method can be widely applied to marine ecological monitoring, species behavior research and underwater acoustic communication engineering. And an efficient and reliable technical support is provided for marine environment protection and biological diversity research.

The invention relates to the field of biodiversity monitoring, and particularly discloses a data processing system and method for biodiversity monitoring, and the method comprises the steps: firstly obtaining an earth surface coverage image collected by a high-resolution remote sensing image, environment sound information collected by a sound sensor, and biological survey data collected by a database; and then feature extraction and correlation analysis are performed on the three by using a deep learning technology, and finally a biodiversity heat map is generated through a generator, so that the biodiversity monitoring efficiency and accuracy are improved, and the understanding of the health degree of an ecological system is facilitated.

The invention relates to the technical field of biodiversity monitoring, in particular to a biodiversity monitoring method and system and a storage medium. Biodiversity multi-source data of a target area are collected in real time through a distributed sensor network and a mobile terminal device, the multi-source data comprise species image data, environmental factor time sequence data, voiceprint feature data and geographic space trajectory data, and encryption transmission and format standardization preprocessing are carried out on the data. Through a dynamic weight distribution mechanism driven by an environmental factor influence degree, a self-adaptive mapping relation between the sensor data entropy and the species ecological niche width is constructed, the problem of feature space mismatching of a traditional method in a non-stationary environment is solved, and the ecological interpretation of a species-environment joint feature vector is improved.

The invention belongs to the technical field of vegetation restoration, and provides an artificial directional rainfall enhancement vegetation restoration and effect evaluation method, which comprises the steps of degeneration research area selection, wind gallery construction, rainfall enhancement landscape smoke furnace fixation, comparison area selection, rainfall catalysis, rainfall data acquisition, predicted rainfall calculation, artificial rainfall enhancement effect evaluation and vegetation restoration effect evaluation. Through degeneration research area selection, wind gallery construction, rainfall enhancement landscape smoke furnace fixation and rainfall catalysis, vegetation restoration of a vegetation degeneration area under the directional rainfall enhancement technology is achieved, and the vegetation restoration efficiency is improved; through a stable artificial precipitation enhancement test, comparative analysis of biodiversity indexes and vegetation coverage of a target area and a contrast area is carried out, and accurate evaluation of ecological restoration benefits under artificial directional precipitation enhancement is realized.

The invention discloses an ecological restoration system for mangrove forest wetlands, and relates to the technical field of ecological restoration of coastal wetlands, and the technical key points are as follows: the ecological restoration system comprises an algae-cleaning biocenosis: the number of algae is reduced through salt-tolerant algae-cleaning organisms, and the transparency of a water body is improved; the sea grass plant community comprises Sichuan fructus viticis and halophila acuminata, absorbs eutrophic substances in water through photosynthesis, and further purifies the water quality; aquatic animals comprise fishes, benthonic animals, shrimps and filter-feeding zooplanktons; the mangrove plant community is used for planting bruguiera gymnorrhiza, kandelia candel and aegiceras corniculatum in a layered manner according to tide and water depth so as to realize the functions of purifying water quality of an ecological system and providing a habitat; and the environment monitoring module is provided with tide monitoring equipment, observes tide water level change and salinity and alkalinity, and implements early warning and emergency measures under extreme climate conditions. According to the method, a multi-layer producer community system can be coupled and repaired, the eutrophication problem can be effectively solved by multi-dimensionally improving the biodiversity, and a new method is provided for coastal wetland repair.

The invention relates to the technical field of essence preparation, and particularly discloses an essence microcapsule with a degradable shell as well as a preparation process and application of the essence microcapsule. The invention discloses a preparation process of shell degradable essence microcapsules. The preparation process comprises the following steps: step 1, weighing a proper amount of water, starch sodium octenylsuccinate, essential oil and polyisocyanate; 2, mixing starch sodium octenylsuccinate with water to obtain a continuous phase; step 3, mixing polyisocyanate with essential oil to obtain a dispersed phase; 4, mixing the continuous phase and the dispersed phase to obtain an emulsion; and 5, adding a sodium hydroxide solution, and carrying out a heat preservation reaction for 2-6 h to obtain the shell-degradable essence microcapsule. The prepared essence microcapsule shell can be naturally degraded after being used, so that pollution to the environment is reduced, the environmental protection performance of an essence product is effectively improved, and potential hazards of micro-plastic pollution to marine ecology and biodiversity are effectively reduced.

The invention discloses a'seam-hole-weir 'combined fishway with four fish passing channels, and belongs to the field of fishway design. Four vertical seams, two inclined transverse baffles with bottom holes, two inclined rectangular weirs with bottom holes and two rectangular energy dissipation piers are arranged in each pool chamber, so that four fish passing channels are provided for migration and upstream of fishes, a more sufficient migration and upstream space is provided for the fishes, and the survival rate of the fishes is increased. And the flow velocity and turbulent fluctuation of the main flow area in the pool chamber are reduced by sharing the flow, and the flow velocity and turbulent fluctuation of the main flow area can be further reduced by promoting transverse / longitudinal diffusion and energy consumption of water flow. And the upstream success rate of the whole fish community (including fishes with strong swimming ability and fishes with weak swimming ability) can be improved. The'seam-hole-weir 'combined fishway with the four fish passing channels, provided by the invention, is beneficial to reducing the adverse effects of water conservancy projects on the ecological environment of a river, biological diversity and fishery resources.

There is provided a computer-implemented method for generating an interactive map, via a graphical user interface, where the interactive map comprises a plurality of layers A geographic regions layer is provided representing a set of geographic regions. A temporal value is defined representing a date or period in time selectable by a user. At least one habitat type of a selected geographic region is determined, where the habitat type is associated with the temporal value, and a condition score is determined for the selected geographic region. The condition score indicates a biodiversity condition and is determined using environmental indices for the selected geographic region using the temporal value. An area is defined against which the selected geographic region can be benchmarked to indicate the biodiversity performance of the selected geographic region compared to other regions having a same or similar habitat. A biodiversity condition layer is provided to indicate the condition score for the selected geographic region.

The invention relates to the technical field of biodiversity monitoring, and discloses a multi-region-oriented biodiversity intelligent monitoring system, which comprises a data acquisition module, a data transmission module, a data processing module, a data analysis module and a rule analysis module, infrared cameras are widely deployed in multiple areas, comprehensive biological activity data containing timestamps and area numbers are collected according to fixed intervals, and then the low-power-consumption LoRa technology is used for compression transmission, so that data richness is guaranteed, transmission efficiency is improved, and energy consumption is reduced; in the aspects of feature extraction and species identification, key features are scientifically and accurately extracted and species are identified by comprehensively applying a form and behavior feature extraction method and combining a constructed species feature database and an Euclidean distance algorithm, and the database is perfected by means of expert judgment on the condition that the species cannot be identified; and on the aspect of activity law analysis, not only can the active region and time of the same species be determined, but also the immigration and emigration periods of seasonal migration species can be accurately judged.

The invention discloses an assembly type ocean suction type caisson foundation structure and a construction method thereof, and belongs to the field of caissons, the assembly type ocean suction type caisson foundation structure mainly comprises a caisson assembly, the caisson assembly comprises a plurality of sets of assembly type caisson bodies, reinforcing steel bars are fixedly installed in the caisson bodies, open holes are formed in the caisson bodies, oblique openings are formed in the bottoms of the caisson bodies, and the caisson bodies are fixedly installed in the open holes. According to the fabricated ocean suction type caisson foundation structure and the construction method thereof, the bionic plates and the caisson body can enter the sea together, so that the holes can make contact with seawater, and therefore the bionic plates simulate the reef environment through the holes; according to the caisson, a habitat is provided for marine organisms, a food chain is constructed, an ecological chain is repaired, biological diversity is improved, wave force can be weakened, base scouring can be reduced, structural fatigue damage can be reduced in engineering, meanwhile, a protective layer is formed through biological attachment, and caisson durability is improved.

The invention relates to a coastal wetland ecological restoration effect evaluation method and system fusing acoustic detection and an ecological model, and relates to the technical field of environmental monitoring. According to the method, an acoustic sensing network is arranged to collect wetland multi-band acoustic signals, and low-frequency, intermediate-frequency and high-frequency voiceprint features are divided; hydrological fluctuation, vegetation coverage and biodiversity parameters are associated respectively, and a dynamic coupling mechanism of acoustic features and an ecological model is constructed; model parameters are calibrated in real time based on a Bayesian network, an acoustic biological activity index (SBAI) and an ecological system toughness score (ERS) are generated, and the restoration effect is dynamically evaluated; data lightweight processing is realized through edge calculation, weight distribution is optimized in combination with a cloud model engine, and a targeted repair strategy is generated. The system comprises an acoustic sensing network, a data fusion engine and a decision support module, and supports'monitoring-evaluation-execution 'closed-loop management. The method breaks through the limitation of traditional static assessment, realizes collaborative analysis of biological activities and habitat factors, and remarkably improves the response efficiency and decision-making scientificity of repair engineering.

The invention provides a coastal wetland bird habitat restoration method which comprises the following steps: dividing bird co-location groups through clustering analysis, and determining target species; analyzing the relationship between the CCA quantitative environmental factors and the bird richness by adopting canonical correspondence; identifying a key influence factor based on a CCA result; making restoration schemes according to the ecological system scale, the plaque scale and the niche scale; and implementing layered habitat management and monitoring. Compared with the prior art, the method provided by the invention has the following advantages: according to the restoration method provided by the invention, the relationship between the coastal wetland birds and the inhabiting environment is taken as a starting point, restoration and building of the habitat are taken as a foothold, and the key factors influencing the bird richness are obtained through canonical corresponding quantitative analysis on the environment condition; and the habitat plaques needing to be created are analyzed from different scales, so that a basis is provided for specific implementation strategies under different restoration conditions, the biological diversity in a restoration area is improved, and the service function of an ecological system can be indirectly improved.

The invention provides an intelligent analysis and early warning system for biodiversity big data, and relates to the technical field of biodiversity monitoring. The system comprises a multi-source data acquisition module, a heterogeneous data fusion preprocessing module, a biodiversity feature intelligent extraction module, a dynamic evolution analysis module, a risk early warning module, a visual output module and a model adaptive optimization module. An edge-cloud collaborative architecture and a multi-source data acquisition module are adopted to synchronously acquire biological sample, environment, human activity and historical literature data, after fusion preprocessing of an improved depth auto-encoder, a twin neural network is adopted to extract multi-dimensional features of species, an evolution trend is predicted through an improved Bayesian network and LSTM fusion model, and a multi-dimensional feature of the species is obtained. And outputting multi-level early warning in combination with a dynamic early warning threshold library, and finally performing multi-terminal visual display. According to the method, the problems of single traditional monitoring data, low fusion precision, short prediction period, early warning rigidity and the like are solved, and the accuracy and real-time performance of biodiversity analysis and early warning are improved.

The utility model relates to a marine new energy engineering pile foundation ecological transformation structure which provides a sheltering place for marine organisms and improves biological diversity. The method is suitable for the technical field of marine ecological protection and restoration. According to the technical scheme, the multi-hole type artificial fish reef comprises a biological inhabiting plate, a multi-hole type biological reef body and an artificial fish reef body which are sequentially arranged from top to bottom. The biological inhabiting plate is arranged on the pile foundation in a sleeving mode and provided with a plurality of flow guide holes which penetrate through the upper surface and the lower surface and are of various hole diameters, and the outer edge of the biological inhabiting plate is bound with large algae through binding bands so that an algae field can be formed around the pile foundation; the porous biological reef is fixed on the outer wall of the pile foundation, the interior of the porous biological reef is of a hollow structure, and through holes with various apertures are formed in the surface of the porous biological reef for marine organisms to enter and exit and flow guide is achieved; the artificial fish reefs are stacked around the bottom of the pile foundation.

The invention discloses a tough city evaluation method based on climate and biodiversity coupling and application. The evaluation method comprises the following steps: S1, determining a biodiversity index of a city to be analyzed; s2, based on a weight prediction model, determining a climate partition weight coefficient of the biodiversity index in a future time period; s3, an index evaluation value BRI is obtained through calculation by means of the biodiversity index and the climate partition weight coefficient, and the larger the index evaluation value BRI is, the higher the city toughness is; according to the method, the climatic factors and the biodiversity are subjected to coupling analysis, the weight prediction model is established to predict the biodiversity index in the future time period, the toughness of the urban biodiversity can be quantified, the limitation of static evaluation of an original evaluation method is solved, accurate evaluation of climatic partition adaptation is realized, and the evaluation efficiency is improved. A tough city evaluation system with better ecological adaptability is constructed, and a scientific tool is provided for global cities to cope with climate changes.

The invention relates to a method for comprehensively evaluating dynamic change of biological diversity of an ecological system in a high dimension, which comprises the following steps of: randomly selecting a plurality of experimental areas in a target ecological system, randomly collecting a plurality of parallel samples in each experimental area, and extracting historical biological group monitoring data of a local ecological monitoring station from a database of the local ecological monitoring station; and finally, analyzing and calculating a biological diversity comprehensive change index of the target class group from six key dimensions including category richness, function richness, phylogenetic richness, inter-community category dissimilarity, function dissimilarity and phylogenetic dissimilarity. According to the method, an integral measurement standard is provided for biodiversity changes, evaluation errors caused by different selection of diversity indexes are effectively solved, and a scientific basis is provided for transverse management of global protection targets.

The invention discloses a protective area biodiversity monitoring and sampling device which comprises a support, a rotating roller rotatably inserted in the support and a plurality of supporting rods fixed to the end of the rotating roller and circumferentially distributed at equal intervals, sampling shells are arranged at the other ends of the supporting rods, and isolation hoods are fixedly connected to the inner walls of the sampling shells; an isolation cover is arranged in the sampling shell, a sampling cavity is formed between the isolation cover and the sampling shell, an elastic assembly is arranged in the isolation cover, two sealing rods are arranged on the elastic assembly, and two through holes which are symmetrically distributed are formed in the surface of the sampling shell. According to the invention, when the sampling shell is driven to enter a water body, the end part of the sealing rod is separated from the interior of the through hole due to water pressure, and the water body containing plankton enters the sampling chamber; when the sampling shell rotates to a position separated from the water body, the sealing rod is reset to seal the through hole; when the sampling shell rotates to a drainage station, namely, the first butt-joint assembly and the second butt-joint assembly are communicated, the water is guided into the liquid drainage pipe at the moment, and the purpose of drainage is achieved.

The present technique relates to an information processing device, an information processing method, and a program that make it possible to improve the accuracy of diversity index values related to biodiversity. A calculation unit of the present technique calculates, in a target area for which a diversity index value related to biodiversity is to be calculated, a diversity index value related to biodiversity in a case where at least one specific biological species is observed, on the basis of habitability indicating the possibility of an interactive species, which is a biological species causing interaction with the specific biological species, living in the target area. The present technique can be applied, for example, to a case of evaluating an ecosystem of a farm or the like.

The present invention belongs to the technical field of mangrove ecological restoration, and discloses a method for improving biodiversity of mangrove ecological restoration, including: a. In a mangrove restoration area with relatively low terrain, according to the current status of the beach landform in the restoration area, it is sorted into strips or blocks of land with different heights, respectively used for planting mangroves or retaining them as tidal channels and waters; b. In a mangrove restoration area with relatively high terrain, it is respectively used for planting mangroves and retaining the beach state; c. Combined with the specific topography and landforms of the mangrove restoration area, the above two methods a and b are used in combination; the present invention plans the mangrove restoration area into different plots according to the specific topography and landforms, so as to adapt to the requirements of the organisms there for growth, reproduction and habitat, and improve the diversity of organisms. It is consistent with the basic principles of overall protection of the environment, respect for nature, scientific restoration, adapting measures to local conditions, and orderly advancement, and promotes the overall protection of the mangrove ecosystem.

The invention discloses a risk prediction model determination method, an application method and a related device, and relates to the technical field of biodiversity, and the risk prediction model determination method comprises the steps: obtaining a data set; the data set comprises landscape diversity risk assessment indexes and risk early warning values of a plurality of continuous years; training a CNN-LSTM model by taking the landscape diversity risk assessment indexes of the previous two years as input and the risk early warning value of the later year as output to obtain a risk prediction model; the CNN-LSTM model comprises two convolution layers, one LSTM layer and three full connection layers. According to the method, the CNN-LSTM model is adopted, the strong extraction capability of the convolutional neural network on the spatial features and the deep analysis capability of the long and short-term memory network on the time sequence data are combined, and an innovative method is provided for predicting the future landscape diversity risk.