36 results about "Habitat suitability" patented technology

The invention relates to an ecology water demand threshold value calculation method, in particular to an artificial interference river ecology water demand threshold value calculation method, which belongs to the field of environment protection. The method of the invention comprises the following steps: using a habitat method as the basis; firstly, selecting a target species for obtaining a target species habitat suitability curve; constructing a hydraulic model for simulating the distribution conditions of factors such as water depth, flowing speed, substrates and the like of rivers under the condition of different runoffs; then, calculating the weighted usable area of the target species under the condition of different runoffs according to the target species habitat suitability curve for establishing the relationship between the runoff and the weighted usable area; next, utilizing historical hydrologic data for obtaining the time sequence of the target species habitat (the weighted usable area); and further, using an Mann-Kendall method for finding the catastrophe point of the weighted usable area, and determining the target species habitat change threshold value for obtaining the proper runoff threshold value of the target species, i.e. the river ecology water demand threshold value. The river ecology water demand threshold value calculation method constructed by the invention based on the habitat catastrophe analysis can provide proper ecology water demand threshold value for the river ecology protection, the ecology restoration and the hydraulic engineering ecological operation with great artificial interference.

The invention relates to a fish HIS (habitat suitability index) modeling method based on an SVM (support vector machine). The method comprises the following steps that 1, the suitability index value SI corresponding to a group of ocean factors is solved by combining various ocean environment factors; 2, all ocean environment factors and the SI are subjected to normalization; 3, an SVM HSI model is built on the basis of data in the second step; 4, different regions are predicated by the SVM HIS, the predicated root-mean-square errors and the correlation coefficient are obtained, and the fishery fishing condition is forecasted in GIS (geographic information system) environment; 5, simulation results are output and stored. Compared with the prior art, the fish HIS modeling method has the advantages that when the sample quantity is smaller, rules in the data can be better mined, the more reasonable HIS model and the fishing condition forecasting result can be obtained, and the like.

The invention discloses a waterfowl habitat suitability evaluation method based on the combination of remote sensing and a geographical information system (GIS), relates to the wetland ecological environment evaluation and protection technology, and aims to provide an efficient waterfowl habitat suitability evaluation method. The method comprises the following steps of: 1, acquiring and preprocessing original remote sensing and geographical basic data; 2, analyzing the relation between a waterfowl habitat and the environment; 3, analyzing the influence degree of each wetland waterfowl habitat suitability evaluation index on the waterfowl habitat, and determining the weight of each wetland waterfowl habitat suitability evaluation index according to a level analysis method; 4, obtaining waterfowl habitat suitability evaluation index values through the spatial analysis technology, and dividing the waterfowl habitat suitability evaluation index values according to the level; 5, obtaining final spatial distribution of waterfowl habitat suitability by adopting the GIS spatial analysis and superposition technology; and 6, acquiring accurate positions of a waterfowl nest site and a rest site, and verifying the waterfowl habitat suitability evaluation result. The method is applied in the field of waterfowl habitat suitability evaluation.

A method for establishing standards of habitat suitability includes the steps: firstly, determining typical fish species needing to be researched and life stages of the typical fish species in a researched river reach, researching the life stages and life habits of key species, performing unit division for the researched river reach and acquiring river reach habitat data; secondly, by means of a multiple linear regression method, respectively establishing habitat suitability functions represented by habitat variables and the habitat suitability represented by species response, and obtaining the relation between the species response and the habitat variables by combining the habitat suitability functions and the habitat suitability; and finally, solving regression coefficients of the species corresponding to a habitat variable relational expression by means of a least square method, and obtaining the habitat suitability standards established by means of the multiple linear regression method. The method can take interaction among the habitat variables into consideration, and determines response of the species by means of accumulative effects of multiple environmental characteristics, so that simulated results are more reasonable.

The invention discloses an endangered wildlife habitat suitability distinguishing method based on a GIS. The endangered wildlife habitat suitability distinguishing method includes the steps of firstly, determining the endangered wildlife required to be studied in a nature protection area, researching the nature and humanity conditions of the nature protection area and the life habits of the endangered wildlife, then carrying out outdoor data collection and space data compilation, selecting the nature factors and the human factors having great influences on the endangered wildlife, being free of the need to obtain the area where the endangered wildlife moves and appears in advance, building an ecological niche model based on the GIS, quantizing the habitat suitability, and dividing the habitat into the high-suitability habitat, the middle-suitability habitat, the low-suitability habitat and a non-suitability area. According to the endangered wildlife habitat suitability distinguishing method based on the GIS, wide-range suitable endangered wildlife habitat distinguishing can be achieved, limited manpower and material resources can be developed to the greatest degree, and therefore the wildlife habitat protection efficiency and the wildlife habitat protection benefits are improved. The method for calculating the wildlife habitat suitability is disclosed, the area which is required to be preferentially protected in the nature protection area can be visually reflected, and building, construction and management on the nature protection area are guided.

The invention relates to an ecological red line delimiting method for protecting animals. The method includes the steps that a national priority protection animal species distribution database is built; environmental variables corresponding to distribution points and background points of national priority protection animal species are extracted; all the priority protection animal species are modeled respectively through a random forest model, and habitat suitability indexes of the priority protection animal species are predicted; the habitat suitability indexes of all the priority protection animal species are iteratively calculated, and habitat suitability composite indexes are obtained; based on the habitat suitability composite indexes, a local space cluster of high values of the habitat suitability composite indexes is determined through values of local Moran's I indexes and the Z statistical quantity, and a high-value clustering region is recognized; ecological red lines of the priority protection animal species are delimited.

The invention relates to a trichoderma citrinoviride P-T 7987 strain, which is preserved in China General Microbiological Culture Collection Center and is assigned the accession number CGMCC No.10646. The trichoderma citrinoviride P-T 7987 is strong in habitat adaptability, is high in growth speed, is high in sporulation quantity, can be used for inhibiting botrytis cinema, sclerotinia sclerotiorum, pythium aphanidermatum, phytophthora capsici and rhizoctonia solani, can be hyper-parasitized on hypha of the botrytis cinema, the sclerotinia sclerotiorum, the pythium aphanidermatum, the phytophthora capsici and the rhizoctonia solani to rapidly and effectively degrade the vegetable bacteria. The trichoderma citrinoviride P-T 7987 has a potential and developable biological prevention and treatment value.

The invention discloses a cloud manufacturing multi-task scheduling optimization method based on a game theory. The method comprises the steps of establishing a CMMS game model based on time, cost andreliability in combination with the game theory; initializing to obtain habitats, and representing each habitat by adopting a matrix; adopting a fitness function based on Nash equilibrium to calculate the habitat suitability index of each habitat, and determining an initial optimal solution according to the habitat suitability index; selecting a habitat to execute migration operation according tothe immigration rate and the emigration rate, and updating the optimal solution; selecting a corresponding habitat to perform mutation operation according to the mutation rate, and updating the optimal solution; updating the population by adopting an elitist replacement strategy; if the number of iterations is reached, outputting an optimal solution, namely an optimal scheduling scheme; otherwise, continuing iteration. According to the method, a new cloud manufacturing multi-task scheduling game model is provided based on the game theory, a better scheduling scheme can be obtained, and the defects of premature convergence and poor population diversity of a basic BBO algorithm are overcome.

The invention discloses a gridding rice sheath blight habitat evaluation method integrating multi-source remote sensing information. Prediction only depends on punctiform meteorological data and is relatively extensive, and a continuous planar prediction result cannot be provided. The method comprises the following steps: 1, selecting an investigation area, acquiring multi-source remote sensing data of the investigation area and investigating disease severity of the investigation area; 2, determining the position and area of late rice; and 3, extracting rice sheath blight habitat characteristics based on the multi-source remote sensing image. And 4, establishing a disease habitat suitability model. And 5, gridding the measured field, and extracting the remote sensing habitat characteristics of the rice sheath blight disease. And 6, masking each remote sensing habitat feature by using the late rice classification map to obtain each remote sensing habitat factor feature of the late rice.And 7, acquiring the disease habitat suitability degree corresponding to each grid according to the model. And 8, obtaining a disease habitat suitability spatial distribution map. Through investigation and research analysis, most of soil-borne diseases are found to be related to habitat conditions such as host plant growth state and farmland environment.

The invention discloses an interplanting method of polygonatum kingianurn and alnus ferdinandi-coburgii. The method comprises the following steps of ditching, treatment of planting land and transplanting of the polygonatum kingianurn and the alnus ferdinandi-coburgii. The method has the beneficial effects that the alnus ferdinandi-coburgii has the characteristics of being short in seedling period, high in habitat adaptability and high in growth speed; the alnus ferdinandi-coburgii is an excellent tree variety for creating an ecological protection, water and soil conservation and water conservation forest, is capable of maintaining soil moisture while replacing a sunshade net when interplanted together with the polygonatum kingianurn; the bark of the alnus ferdinandi-coburgii contains tannin, the leaves are high-quality green manure, and root nodules of the roots are capable of fixing nitrogen, thereby promoting growth of the polygonatum kingianurn; through interplanting of the alnus ferdinandi-coburgii and the polygonatum kingianurn, the obtained polygonatum kingianurn has very high medicinal value, and the obtained alnus ferdinandi-coburgii can be used as an excellent pulpwood material, thereby achieving benefit maximization.

The invention relates to the field of animal habitat evaluation, and discloses a method and device for evaluating the suitability of a seal habitat. The method comprises the following steps: acquiringa plurality of evaluation factors influencing the suitability evaluation of the seal habitat and data thereof; performing gridding processing on the data to form a plurality of evaluation factor griddistribution diagrams comprising a plurality of evaluation factor grid units; establishing a seal habitat suitability evaluation model on the basis; calculating according to the model to obtain the snoopard habitat suitability indexes of a plurality of evaluation factor grid units; grading the suitability indexes to obtain a grading result; and evaluating the reasonable degree of the grading result according to the plurality of evaluation indexes. The model established by the method provided by the invention is more reasonable in structure, so that a model evaluation result has a good practical application value, and the protection and planning of a seal habitat are facilitated; and the grading result of the suitability index of the seal habitat is reasonably evaluated according to a plurality of evaluation indexes, so that the comprehensiveness and the reliability of the evaluation can be improved.

The invention discloses a biogeographic optimization method for the emergency service facility location problem. The method comprises the following steps: setting an initial value of each variable, and randomly initializing suitability vector Xi of each habitat; calculating habitat suitability f(Xi), corresponding species number si, immigration rate and emigration rate; judging whether the habitat needs to carry out immigration operation according to the migration rate; if the habitat needs to carry out the immigration operation, selecting a characteristic component xij to be immigrated to the habitat according to the immigration rate, and selecting a habitat k as an immigration object according to the emigration rate of the other habitats, and replacing corresponding position of a habitat i with the corresponding position of the selected habitat k; calculating probability P (si) of the number of species accommodated in the habitat, calculating mutation rate m(Xi) by utilizing the probability P (si), and judging whether each component of the habitat i has mutation operation based on the mutation rate m(Xi); and detecting whether a stop condition is met, and if not, continuing execution, or otherwise, outputting the current optimal solution. Compared with a conventional optimization method, the method has better optimization performance.

The invention discloses a method for predicting the suitable habitat of a ginkgo fruit forest based on climate and soil factors, and belongs to the technical field of species distribution prediction. The method comprises the steps of firstly, establishing a climate ecological niche model and a soil ecological niche model; predicting the habitat types of the ginkgo fruit forest by using the climate ecological niche model and the soil ecological niche model, and classifying the habitat types of the ginkgo fruit forest; carrying out verification test on the model and a prediction result through a seed field test; filtering the climate-suitable habitat by using the soil-suitable habitat; and predicting the change of the suitable habitat of the ginkgo fruit forest under the future climate scene. The two models are combined, the current and future under different climate change scenes can be predicted, the reliability of model output is verified through experimental data, the prediction process is more efficient, the result is more accurate, prediction of the habitat suitability classification model conforms to the knowledge of phytophysiology and economics, and the habitat suitability classification model has good application prospects. The method has important significance for guiding the production practice of the ginkgo fruit forest.

The invention discloses a fish passing facility comparison and selection method. The method comprises the steps of: 1, collecting data; 2, determining a fish passing object; 3, determining a fish passing season; 4, analyzing habitat suitability; 5, preliminary comparison and selection of fish passing facilities: selecting two or more than two fish passing facilities from the fish passing facilitycomparison list as to-be-selected fish passing facilities; 6, determining a fish passing facility comparison, selection and scoring list; and 7, comparing and selecting the fish passing facilities again: carrying out index scoring operation on each to-be-selected fish passing facility which is preliminarily compared and selected in the step; according to the fish passing facility comparison and selection scoring list in the step 7, multiplying a scores obtained by each index scoring list by the weight coefficient of the index, to obtain a result which is the final score of the to-be-selected fish passing facility, and the to-be-selected fish passing facility with the highest final score serving as the selected fish passing facility. The selected fish passing facility is more scientific, sothat the damage of the hydraulic structure to the fish habitat is relieved.

The invention discloses a waterfowl habitat suitability calculation method and device under gate dam dispatch, and the method comprises the steps: selecting a landscape type, a water source distance and a human activity distance as waterfowl habitat suitability evaluation factors, and obtaining the water source distance and water regimen data in a region through constructing a hydrodynamic model containing gate dam dispatch; according to remote sensing data, topographic data and water regimen data, predicting the landscape type through a cellular automaton Markov model of a multi-index evaluation criterion, and finally generating a waterfowl habitat suitability graph under gate dam scheduling through a waterfowl habitat suitability index evaluation model in combination with the water source distance, the landscape type and the human activity distance. The method combines hydraulics, ecology and network dynamics model principles, has clear physical meaning and theoretical basis, can effectively simulate the evolution process of the waterfowl habitat under gate dam scheduling, is helpful for the development of a waterfowl habitat evaluation model, and provides reliable guidance for wetland biodiversity protection.

The invention discloses a high-efficiency and high-precision habitat simulation method coupled with a habitat suitability model, and the method comprises the steps: employing a high-resolution DEM terrain of a rectangular grid, and carrying out the assignment of related parameters through known conditions; based on a Godunov format center finite volume method spatial discretization two-dimensional shallow water equation, higher spatial discretization precision is obtained; the second-order precision of time and space is further realized through MUSCL reconstruction and a Runge-Kutta method; on the basis of the IFIM theory, a habitat suitability model is constructed by adopting a suitability index HSI, so that coupling of the hydrodynamic process and the habitat suitability model is realized; and a GPU acceleration technology is introduced to improve the simulation efficiency. Therefore, the efficient and high-precision habitat simulation method coupled with the habitat suitability model is constructed. According to the method, the simulation accuracy of the habitat factors in the habitat model is improved, effective technical support is provided for accurately simulating river hydraulic characteristics and biological habitats, and the method becomes a powerful tool for evaluating the biological habitat quality.

The invention discloses a method and a system for predicting water lettuce invasion distribution areas, and the method comprises the steps: carrying out the RDA analysis of the obtained information ofa water lettuce disaster occurrence point and an environment variable set of the water lettuce disaster occurrence point, and obtaining a non-redundancy environment variable set related to the growthof water lettuce; processing the non-redundant environment variable set by adopting a WOE method to obtain an influence weight of each environment variable in the non-redundant environment variable set on the water lettuce; and performing influence weight summation on all the environment variables in the prediction area to obtain a water lettuce habitat adaptability index of the prediction area.According to the method, the collinearity problem of environmental variables such as terrain, weather, sewage discharge and social and economic development conditions of the water lettuce invasion disaster area Sobs can be solved, the water lettuce invasion possibility of a larger area Spre can be predicted on the basis of the environmental variables, and the invasion possibility of the whole areacan be visually reflected.

The invention discloses a fuzzy comprehensive evaluation method-based cascade reservoir hydrological ecological scheduling effect evaluation method, which comprises the following steps of: firstly, determining weights of indexes related to spawning of drifting fishes based on a principal component analysis method, and then determining membership degrees of the indexes under different suitable grades based on membership degree functions of the indexes; a fuzzy relation comprehensive evaluation matrix is constructed, a total evaluation vector is obtained according to the weights of the related indexes and the fuzzy relation comprehensive evaluation matrix, and finally a fuzzy comprehensive evaluation value used for evaluating the fish spawning and mirror growing suitability and the reservoir ecological scheduling effect is obtained based on the weighted average principle. The influence of the flow velocity, the water temperature, the daily average water rising rate of the water level, the water rising duration and other elements on fish spawning is comprehensively considered, so that the habitat suitability of fish spawning and the ecological scheduling effect of the reservoir can be accurately evaluated.

The invention discloses a method for optimizing the layout of an artificial fish reef based on biological suitability. The method comprises steps of selecting a flow velocity, a suspended matter concentration and a sheltering space as measurement indexes through the full consideration of main environment factors affected by the construction of the artificial fish reef and the suitability requirements of organisms on the environment, and carrying out habitat suitability evaluation of organisms under different artificial fish reef arrangements. An artificial fish reef optimized combination layout method oriented to biological resources is provided, and theoretical method support is provided for construction of artificial fish reefs with guaranteed quality and improved efficiency.

The invention discloses a drill jumbo telescopic arm limit working condition calculation method and belongs to the field of mechanical arm working condition calculation. The invention aims to solve the problem that the optimal design result of the telescopic arm cannot meet the actual engineering requirement due to the fact that the limit working condition of the telescopic arm of the drill jumbo is determined according to experience at present. Comprising the following steps: acquiring the gravity, gravity center position and rock recoil load of each component in the boom structure of the telescopic boom of the drill jumbo and the variation range of each degree of freedom of the boom structure; determining a telescopic boom top load calculation model; obtaining an optimization range of a novel biogeography optimization algorithm, and taking a calculation result of the telescopic arm top load calculation model as a habitat suitability index HSI; and initializing NH habitats, performing optimization through an optimization algorithm, and obtaining the habitat with the maximum top end load of the telescopic arm, wherein the corresponding freedom degree value combination is the limiting working condition of the telescopic arm, and the novel biogeography optimization algorithm includes an improved mobility model. The optimal solution of the limit working condition can be obtained.

The invention discloses a water area coordinated configuration method for optimizing river habitat protection and giving consideration to shipping development, which comprises the following steps of: assigning scores to indexes of each region in a target river reach to obtain a habitat suitability comprehensive score, obtaining suitability distribution of each region in the target river reach, determining an ecological optimal air route center line, and determining an ecological optimal air route center line; assigning scores to the channel boundary distance indexes of the water area outside the channel; and obtaining a river habitat conservation and protection suitability score by combining the habitat suitability comprehensive score and the channel boundary distance assignment, and delimiting a river habitat conservation and protection area. The method for identifying the navigation river habitat conservation protection value degree distribution is provided for the first time, a quantitative basis can be provided for achieving high-value-degree area key protection, and the overlapping conflict problem of a river habitat conservation protection area and a shipping development water area can be effectively relieved.

The invention discloses a locust disaster potential high-risk area identification method, device and equipment and a storage medium, and the method comprises the steps: carrying out the extraction and analysis of a water body and a suitable habitat of a locust in a research region through the long-time-series multi-temporal remote sensing image data in the research region, and obtaining a water body change index and a suitable habitat change index of the research region; when the water body change index and the suitable habitat change index meet a first preset condition, determining that a locust disaster potential high-risk area exists in the research area; and determining a locust disaster potential high-risk area in the research area by utilizing a habitat suitability index obtained by calculating the multi-temporal remote sensing image data and the distance between each area and the water body in the research area. By means of the mode, the evolution process of the habitat from inappropriate to appropriate can be fully considered, the characteristic of aggregative outbreak of locusts is considered, and high-precision identification of potential high-risk areas can be achieved.

The invention discloses a typical species migration corridor site selection method, device and equipment, belongs to the technical field of computers, and particularly relates to a typical species migration corridor site selection method, which comprises the following steps of: when a typical species migration corridor site selection request sent by a user is received, sending a typical species migration corridor site selection request to the user; analyzing a typical species distribution area and typical species information from a typical species migration corridor site selection request, collecting evaluation factors, scoring the collected evaluation factors, and calculating a habitat suitability index according to the evaluation factors and corresponding score values; according to the habitat suitability index, calculating a migration resistance index of the typical species, according to the migration resistance index, recognizing galleries among the typical species source plaques to obtain a typical species migration gallery simulation result; evaluating the typical species migration gallery simulation result to obtain the typical species migration gallery simulation result; and generating a typical species migration corridor setting position according to a typical species migration corridor simulation result in combination with regional road distribution.

The invention relates to a fish habitat suitability index modeling method based on a support vector machine, comprising the following steps: 1) combining multiple marine environmental factors to obtain a suitability index value SI corresponding to a group of marine factors; 2) Normalize all marine environmental factors and SI; 3) Based on the data in step 2), establish a support vector machine HSI model: SVM HSI; 4) Use SVM HSI to predict different areas and obtain the root mean square error of the prediction and correlation coefficients, and forecast the fishery situation in the GIS environment; 5) output and save the simulation results. Compared with the prior art, when the number of samples is small, the present invention can better excavate the laws existing in the data, and obtain the advantages of a more reasonable HSI model and fish situation forecast results.

The invention provides a method for determining the suitable distribution area of ​​oncomelania beach snails in rivers and lakes, which includes the following specific steps: carrying out grid division on the research island beach; according to the needs of the snails for the living environment, selecting a reasonable oncomelania habitat suitability index; The degree of suitability classifies the oncomelania habitat suitability index standard, and determines the classification threshold of the suitability index according to the classification, draws the oncomelania preference curve for the adaptability index; obtains the actual value of the suitability index selected in each grid area of ​​the beach; according to The actual value of the suitability index of each grid and the suitability index of the preference curve are calculated, and then the location and area of ​​the suitable distribution area of ​​Oncomelania snails are calculated. The present invention quantitatively obtains the location and area of ​​the suitable distribution area of ​​Oncomelania snails in continental beaches, solves the problem of determining the suitable distribution areas of Oncomelania snails in rivers, lakes and continental beaches, and provides an important technical means for precise suppression of snails in rivers, lakes and continental beaches. .

The invention discloses an urban river channel fish habitat evaluation method and system. The method provided by the invention comprises the following steps: screening index fishes and at least one corresponding habitat influence factor in an urban river channel; dividing the urban river channel into at least one river reach, and collecting actual measurement data of at least one habitat influence factor in the at least one river reach; grading the at least one habitat influence factor according to different life stages of the index fishes, and obtaining a fuzzy set and a fuzzy rule of the index fishes according to the advantage value of the at least one stage of habitat influence factor and the weight of the at least one habitat influence factor in the habitat suitability of the index fishes; and inputting the measured data of the at least one habitat influence factor into the fuzzy set and the fuzzy rule of the index fishes to obtain the habitat suitability of the index fishes in the at least one river reach. According to the invention, the fish habitat suitability and the fuzzy logic are combined and applied to an urban river channel, so that the habitat suitability is more consistent with actual situations.

The invention relates to a rare and endangered wild plant protection value calculation method based on a remote sensing technology. The method comprises the following steps: (1) carrying out interpretation by using a Landsat8 remote sensing image according to the actual situation of a region to obtain the type data of a regional ecosystem; (2) extracting planar data and converting the planar data into raster data; (3) calculating a normalized vegetation index and vegetation coverage; (4) determining a list of rare and endangered wild plants in the region; (5) respectively calculating the off-site protection cost of the arbor and the off-site protection cost of the herbaceous plants, and determining the off-site protection cost of the rare and endangered wild plants; (6) screening habitat suitability influence factors of each rare and endangered wild plant species; (7) assigning the habitat suitability of the rare and endangered wild plant species; (8) establishing a habitat suitability evaluation model; (9) obtaining a species richness spatial distribution diagram; and (10) calculating the protection value of the rare and endangered wild plants. According to the method, more refined, scientific and reasonable calculation of the protection value of large-scale rare and endangered wild plants can be quickly realized.