48 results about "Biodiversity conservation" patented technology

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.

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).

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 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 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 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.

The present application relates to the field of biodiversity protection, and particularly relates to a method for ex-situ conservation of Vrydaghiella. The present application uses symbiotic fungi of Vrydaghiella to symbiotically germinate mature Vrydaghiella seeds on a substrate composed of tree bark, water moss and the like, and cultivate the seeds into plants for ex-situ conservation. The use of symbiotic fungi enables the successful realization of Vrydaghiella seeds as ex-situ introduction materials, and effectively improves the survival rate of ex-situ conservation of Vrydaghiella.

The utility model discloses a small watershed composite ecological restoration and purification system, which relates to the field of ecological restoration and comprises a riverbed, a first water gate is arranged on the upstream of the riverbed, a second water gate is arranged on the downstream of the riverbed, and a plain soil layer is laid at the bottom of the riverbed and between the first water gate and the second water gate; a primary purification system is arranged between one side of the plain soil layer and the first water gate, and a deep purification system is arranged between the other side of the plain soil layer and the second water gate; overflow weirs are arranged on the two sides of the top of the plain soil layer, and a plurality of root hole plant bed purification systems are arranged at the top of the plain soil layer and located between the two overflow weirs. The water ecological restoration technology is comprehensively applied, coordinated development of water pollution control and ecological restoration is ensured, restoration and protection of a watershed water ecological system can be achieved, water quality is improved, biological diversity is maintained, and sustainable development of human beings and the ecological system is protected.

The invention belongs to the technical field of modern agriculture, and particularly relates to a KASP molecular marker for identifying corbicula fluminea and corbicula annulata and application of the KASP molecular marker. The molecular marker developed based on the KASP technology can accurately identify corbicula fluminea and corbicula annulata. The specific KASP primer provided by the invention can be used for detecting corbicula fluminea and corbicula annulata, and is simple and easy to use, high in analysis flux, high in accuracy and suitable for detecting a large number of samples. The molecular marker provided by the invention can quickly and accurately screen corbicula fluminea and clam annulata, and can provide solid technical support for formulating and implementing targeted biodiversity protection and environment management strategies.

The invention discloses a water and soil stabilization protection slope based on tea garden interplanting radix ophiopogonis planting. The water and soil stabilization protection slope comprises a horizontal partition supporting structure and a vertical layering structure. A multi-layer vegetation system is constructed through a horizontal partition supporting structure and a vertical layered structure, the diversity of a tea garden ecological system is increased, ecological balance and biodiversity protection are facilitated, radix ophiopogonis serves as a traditional Chinese medicine, the water and soil conservation effect is enhanced through interplanting of radix ophiopogonis, the economic benefit of the tea garden is increased, and the economic benefit of the tea garden is increased. Reasonable planting layout and vegetation selection improve the overall landscape effect of the tea garden and promote rural tourism and leisure agriculture development.

The present application relates to the technical field of biodiversity protection and ecological modeling, and particularly relates to a method and system for predicting hot spot distribution of large and medium-sized protected mammal diversity. According to the mammal diversity data obtained in the target area, spatio-temporal matching and standardization processing are performed to construct a comprehensive data set. By setting a variance inflation factor and through expert scoring method, core feature variables are selected from the comprehensive data set. Based on random forest and MaxEnt model as the basic prediction layer, the core feature variables are predicted, and the outputs of the random forest and MaxEnt model are respectively introduced into the meta learner model to obtain the initial distribution probability of each species. Habitat connectivity index and time series dynamic factor are constructed to generate a species diversity distribution matrix. A hot spot analysis algorithm is used to identify and output the hot spot area of each species. Through integration of multi-source data and dynamic correction mechanism, the accuracy and timeliness of the hot spot prediction are improved.

This utility model relates to the field of ecological water conservancy engineering technology and discloses a modular ecological revetment structure for river management, including a first revetment layer, a first ecological trough attached to the upper surface of the first revetment layer, a second revetment layer fixedly installed on the upper surface of the first revetment layer, a second ecological trough attached to the upper surface of the second revetment layer, a third revetment layer fixedly installed on the upper surface of the second revetment layer, a third ecological trough attached to the upper surface of the third revetment layer, a riverbank on the upper surface of the third revetment layer, and a guardrail mechanism attached to the upper surface of the riverbank. By planting different aquatic plants in the first, second, and third planting troughs, the biodiversity of the riverbank is increased, and the riverbank ecosystem is protected. Simultaneously, limiting blocks can be used to tightly press the filter plate against the soil layer, holding down the aquatic plants and preventing newly planted aquatic plants from being washed away by the water flow and falling out of the planting trough, thus affecting the survival rate.

The invention provides an assembled and annotated chloroplast genome of euphorbia splendens, and relates to the fields of molecular biology and plant genetics. The chloroplast genome of the pteris amurensis is a single cyclic molecule; the total length of the chloroplast genome of the psidium aquilinum is 149180bp; the nucleotide sequence of the chloroplast genome of the pteris amurensis is as shown in SEQ ID NO. 1; the GC content of the chloroplast genome of the pteris amurensis is 43.14%; the pteridium aquilinum chloroplast genome provided by the invention enriches a pteridium gene database, lays a foundation for exploring pteridium aquilinum evolution history and an adaptation mechanism of pteridium aquilinum to environmental stress, decrypts genetic codes of pteridium aquilinum from a molecular level, and is applied to biodiversity protection, plant ecological restoration and gardening.

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 relates to the technical field of biology, in particular to a method for screening specific sequences of genomes and a related device. According to the method, high-precision re-sequencing data and long-fragment genome data are integrated, so that the accuracy of structural variation detection between related strains is remarkably improved, false positive is effectively reduced, the verification cost is greatly saved, and the method is suitable for multi-species strain identification and molecular marker development and has a wide application prospect in the fields of precision breeding, biodiversity protection and the like.

The application discloses a low-disturbance lake biological diversity protection monitoring device, which comprises a driving motor fixedly arranged on the lake bottom, a middle monitoring module capable of moving up and down in the water body and a floating monitoring module on the lake surface, the output shaft of the driving motor is arranged vertically and the end of the output shaft is connected with an extension rod parallel to the lake bottom, and the driving motor drives the extension rod to rotate along the plane parallel to the lake bottom. The low-disturbance monitoring is realized from four dimensions of physical damage, habitat destruction, behavior interference and chemical pollution, the vertical section monitoring in the lake is realized, the horizontal scanning and the vertical lifting constitute a three-dimensional monitoring network, three types of data of organisms, water quality and weather are synchronously collected by the device, and a quantitative relationship model of species distribution and environmental factors can be established.

The present invention relates to the technical field of biodiversity protection, and in particular to a research method for ecological restoration of a pumped-storage power station slope. The method comprises a vegetation community and soil survey method and a vegetation community niche analysis method. The vegetation community and soil survey method comprises a vegetation status survey and a soil status survey; the vegetation community niche analysis method comprises a niche width analysis and a niche overlap analysis; and the vegetation status survey comprises the following steps: collecting data on plant species and plant types; collecting data on slope engineering projects; using satellite remote sensing images to interpret the basis of various plant landscape types; verifying the accuracy of interpretation based on an interpreted vegetation and land use type preliminary map; reading the altitude and longitude and latitude of a measuring point using a GPS handheld device; and recording data of each GPS sampling point. The method investigates the native environment before construction to help make post-construction restoration more consistent with the native environment.