12 results about "Nature protection" patented technology

This invention provides a method and system for assessing the impact of construction disturbance on biodiversity in nature reserves, relating to the field of computer technology. The method includes: acquiring species distribution data, construction disturbance data, and environmental data within the nature reserve; constructing an ecological association network based on the species distribution data to obtain a species interaction network; extracting network structure features from the species interaction network to obtain a set of key species; modeling the disturbance propagation dynamics based on the set of key species and the construction disturbance data to obtain an impact propagation path map; predicting biodiversity responses based on the impact propagation path map and environmental data to obtain trends in changes in biological community composition; and conducting a comprehensive impact assessment based on these trends, outputting an impact level index by comparing the degree of deviation from historical baseline states. This invention effectively improves the overall accuracy and predictive precision of the assessment of the impact of construction disturbance on biodiversity in nature reserves.

The invention relates to the technical field of remote sensing monitoring, and discloses a natural reserve human activity identification method and electronic equipment. In the application, the method comprises the following steps: acquiring night light images of at least two moments in the same area, the area comprising at least one protected area; acquiring a grid map of a target protected area based on the night light image; determining a human activity pixel and a human activity intensity index according to the brightness value of each pixel in the grid map; and determining a change index of the human activity intensity according to the human activity intensity indexes at the at least two moments. Through the method, the monitoring cost of human activity identification of the natural reserve is reduced, and the processing efficiency and the identification precision are improved.

The present application relates to the technical field of ecological monitoring, in particular to a mobile ecological damage intelligent monitoring device for nature reserves, comprising a vehicle body and a collection box, a collection pipe and a collection cover are sequentially installed on the top of the collection box in communication, the collection cover is used for capturing sand and soil particles in wind sand and conveying them to the collection mechanism in the collection box through the collection pipe, sand and soil particles are captured by the collection cover, then conveyed to the inside of the collection box through the collection pipe, and stored through the sample storage tube in the collection mechanism, as the number of sand and soil particles collected in the sample storage tube increases, the sample storage tube will rotate as a whole under the action of gravity in cooperation with the driving mechanism, further storing the collected sand and soil particles in different sample storage tubes, realizing the collection and independent storage of sand and soil particles at different time periods in the wind erosion process.

The present application relates to the technical field of ecological environment protection, and particularly relates to a coastal wetland nature reserve integration optimization method fusing ecological system integrity, authenticity and high-quality development layout, comprising the following steps: S1: acquiring and generating an ecological system integrity and authenticity spatial difference distribution map; S2: acquiring and generating a human activity intensity distribution map; S3: performing spatial superposition analysis to identify a protection and development conflict region; S4: performing spatial comparison to identify an ecological protection vacancy region; S5: calculating an integration optimization coefficient of each region respectively; and S6: dividing into different priority integration optimization types. The present application, by fusing the spatial adjacency relationship of ecological system integrity, authenticity and high-quality development layout, constructs differentiated integration optimization, realizes accurate identification and priority division of key regions in the coastal wetland ecological system, and improves the scientificity and operability of the nature reserve system optimization.

The application discloses a natural-based recreation infrastructure network construction method and device and electronic equipment, relates to the technical field of geographic planning, and comprises the following steps: identifying a recreation resource center of a research area according to nature reserve data, park green space data, scenic spot data, characteristic town data and river system data; constructing a comprehensive resistance surface of the research area according to resistance factors; identifying a target corridor of the research area and a network strategic point of the target corridor according to the recreation resource center and the comprehensive resistance surface; and correcting and adjusting the network structure of the research area according to the recreation resource center, the target corridor and the network strategic point. According to the application, the recreation resource center meeting the ecological function and human recreation demand is screened out according to the recreation resource, the target corridor and the network strategic point are identified, and then the network structure of the research area is corrected and adjusted, so that the natural-based recreation infrastructure network under the guidance of recreation is formed, and the experience of people during recreation can be improved based on the network.

The invention relates to a global natural reserve biodiversity protection effect evaluation method and device, and the method comprises the steps: obtaining multi-source remote sensing and statistical data, constructing a multi-dimensional ecological index system covering forest changes, vegetation vitality, human interference and a landscape structure, carrying out the standardization processing and weight setting, and carrying out the evaluation of the biodiversity protection effect of the global natural reserve. Generating a plurality of standardized index data elements; constructing an equal-area buffer area as a contrast area on the basis of the boundary of each protected area, performing internal and external pairing analysis, and identifying a net ecological effect brought by a protection behavior through methods such as an index difference value, a ratio, a time trend and spatial autocorrelation; and performing weighted synthesis on the normalized and weighted indexes, constructing a comprehensive scoring model, dividing effect levels according to scores, and visually outputting effect distribution results through a GIS (Geographic Information System). Therefore, the problem that the biodiversity protection effect of the global natural reserve cannot be systematically and quantitatively evaluated in a multi-dimensional and multi-level mode in the prior art is solved.

The invention provides a method and system for evaluating the influence of construction disturbance on the biodiversity of a natural reserve, and relates to the technical field of computers, and the method comprises the steps: obtaining species distribution data, construction disturbance data and environment data in the natural reserve; constructing an ecological association network according to the species distribution data to obtain a species interaction network; performing network structure feature extraction according to the species interaction network to obtain a key species set; performing disturbance propagation dynamics modeling according to the key species set and the construction disturbance data to obtain an influence propagation path diagram; performing biodiversity response prediction according to the influence propagation path diagram and the environmental data to obtain a biocommunity composition change trend; and performing comprehensive influence evaluation according to the change trend of the biocenosis composition, and outputting an influence grade index by comparing the deviation degree of the historical baseline state. According to the method, the integrality and predictive evaluation precision of the construction disturbance influence on the biodiversity of the natural reserve is effectively improved.

The invention relates to the technical field related to natural protection, and discloses a wetland ecosystem restoration method which comprises the following steps: S1, microtopography reconstruction and water level gradient zone division: forming at least three continuous elevation gradient zones, namely an elevation zone A, a transition zone B and a normally flooded zone C, in a to-be-restored wetland through topography molding according to a target hydrological cycle; s3, coordinated regulation and succession guide: regulating water flow introduced into a micro-percolation water channel, enabling three gradient zones to form continuous water level and salinity gradients by utilizing the filtering and slow-release effects of the micro-percolation water channel on water, and utilizing the synergistic effect among plant modules to carry out modular plant community configuration and field planting; guiding the ecological system to carry out directional succession on the target community; according to the wetland ecosystem restoration method provided by the invention, fundamental transformation from passive restoration to active guidance is realized, and key ecological functions of water quality purification, biological habitat supply and the like of the wetland are quickly restored.

This invention discloses a smart forestry IoT patrol method and system for nature reserves. It acquires abnormal coordinates of patrol personnel when GPS signals are lost, determines the preceding and following positions of these abnormal coordinates, and then precisely corrects the abnormal positions based on the determined preceding and following positions and the patrol personnel's movement speed. The smart forestry IoT patrol method and system for nature reserves provided by this invention effectively solves the problem of GPS location deviation for forest rangers during patrols, ultimately establishing accurate trajectory positions and effectively and accurately protecting the work results of forest rangers. It also helps managers to conduct more precise supervision of forest rangers.

This invention relates to the field of ecological risk assessment technology, and in particular to a method and system for assessing human-wildlife conflict risk in nature reserves. It constructs a list of conflicting species and a standardized distribution dataset by integrating multi-source data. Based on a maximum entropy model, a stacked species distribution model is built to calculate species hazard levels. For three types of conflict—crop damage, livestock predation, and personal injury—arable land, grassland, and population density are matched as exposure indicators, respectively. Based on a "hazard level × exposure level" framework, categorized risk sub-models are constructed, and a comprehensive risk raster map is generated by overlaying these sub-models. Finally, the overall risk assessment value is calculated using nature reserves as units. This invention addresses the problems of existing human-wildlife conflict risk assessment technologies, which fail to effectively integrate multi-species contributions, differentiate conflict types, and adapt to large-scale protected area systems.

The application discloses a natural landscape value identification system for nature reserves in the technical field of nature reserve research, which comprises a collecting module, a transmission module and a management platform, wherein the collecting module comprises a support and collecting equipment installed on the support; a plurality of groups of supports are arranged on the side wall of the support, a supporting leg is arranged on the support, and an anti-climbing plate is hingedly arranged on the top of the support; a plurality of groups of the anti-climbing plates are radially distributed on the outer side of the support; the stability of the installation of the collecting module is improved by the supports, the supporting legs and the anti-climbing plates arranged around the support, and when a climbing animal climbs the collecting module, the climbing animal contacts the outer end of the anti-climbing plate, presses the outer end of the anti-climbing plate, and makes the anti-climbing plate rotate at the support and gradually stand up to prevent the climbing animal from climbing, so that the stability of the installation of the collecting module is ensured and the normal collection of the information of the nature reserve is ensured.

The invention relates to the technical field of artificial intelligence and biological monitoring, in particular to a natural reserve biodiversity monitoring method, which specifically comprises the following steps: adopting hyperspectral data and labeling; constructing an illumination invariance correction function, dynamically adjusting the collected data, and generating a correction spectrum vector; based on the collected corrected data, constructing a biospectral fingerprint database matrix, calculating curvature characteristics and mutual information amount of each wave band, fusing the curvature characteristics and mutual information amount to calculate a comprehensive discrimination score, selecting the wave band with the highest score to form a discriminative wave band subset, and obtaining wave band selection spectrum data according to a wave band sequence number index; a depth feature extraction model is constructed to predict species types, a loss function is calculated, model parameters are updated through an optimizer, and a trained model is obtained; and performing biodiversity monitoring by using the trained model. According to the invention, fine classification and long-term dynamic monitoring of species in the natural reserve are realized through combination of a hyperspectral remote sensing technology and deep learning.