778 results about "Habitat" patented technology

Disclosed is a reservoir ecological operation method integrating ecological flow process and water temperature process requirements of fish species, including: establishing a habitat model for a target fish species and deducing an ecological flow process of a lift history of the target fish species; calculating a critical spawning water temperature threshold and a critical gonadal development accumulated temperature threshold; establishing a multi-objective reservoir operation model to obtain flow process and water level after optimized reservoir operation; establishing a multi-objective reservoir ecological operation model integrating both the ecological flow process and the water temperature process, and calculating reservoir outflow water temperatures before and after the optimized reservoir operation; and calculating an improvement difference between the critical water temperature threshold and the accumulated temperature threshold of the target fish species on arrival dates after the reservoir ecological operation and those before the optimized reservoir operation.

The invention provides a monitoring and early warning method and system for a natural protection area of wild animals. The method comprises the following steps: firstly, collecting a multi-modal ecological monitoring data stream containing animal activity track data, a habitat environment parameter sequence and a biological voiceprint signal set; then, dynamically matching the animal activity trajectory data with a reference threat mode to generate a first ecological association network feature; and extracting migration path fragments, combining with an environment parameter change gradient, and deducing second ecological association network features through the model. And then, performing cross-modal fusion on the two features to generate a multi-level threat coupling vector, constructing a map based on the biological voiceprint, performing overlay analysis on the map and the coupling vector, and calibrating and outputting a real-time threat level pedigree through an adaptive algorithm. And finally, according to the mapping relationship between the real-time threat level pedigree and a preset strategy library, activating a corresponding ecological protection intervention instruction set, realizing multi-modal data comprehensive analysis, accurate real-time monitoring and early warning and intelligent response, and effectively protecting the ecology of the natural reserve of wild animals.

The invention relates to the technical field of automatic control, in particular to an intelligent aquaculture automatic control system which comprises a feeding feedback control module, a feeding rhythm allocation module, a water body disturbance partition module, a control unit recognition module and a control path construction module. According to the method, the bait residue density is quantified through image recognition, a feeding state dynamic judgment mechanism is constructed, the accuracy and timeliness of feeding response are improved, the feeding speed is calculated through linkage of time difference and density change, a rhythm allocation strategy based on behavior feedback is formulated, the matching degree of the feeding rhythm to the actual feeding ability is enhanced, and the feeding speed is increased. A main flow path continuous block is constructed by combining flow velocity and flow direction, disturbance levels are marked in a grading manner, a key equipment action area is judged according to cross of fish school active density and dissolved oxygen trend, and an equipment linkage path is constructed by connectivity of a physical channel and an inhabitation area. And an intelligent control scheme of cooperative linkage of ingestion behavior driving, disturbance partition recognition and space layout optimization is realized.

The invention relates to the technical field of carbon sequestration capacity monitoring, in particular to a carbon sequestration capacity monitoring and evaluating method for an island ecosystem, which comprises the following steps: S1, multi-source data fusion and habitat partitioning: dividing an island habitat type partitioning map; s2, stratified sampling and carbon reserve actual measurement: measuring the carbon content, and constructing a carbon reserve actual measurement database; s3, constructing a dynamic carbon sink model: carrying out a whole growth cycle environment simulation experiment on sea grass and algae in different habitats, and establishing the dynamic carbon sink model taking habitat types as classification units; s4, carbon sequestration capability quantification and bottleneck diagnosis: calculating carbon sequestration contribution values of various habitat types, identifying low-efficiency carbon sequestration areas through contribution value comparison, and analyzing environmental limitation factors of the low-efficiency carbon sequestration areas; and S5, integrating a sink increasing technology and generating a path: designing a habitat specific sink increasing scheme for the identified low-efficiency carbon sink area. According to the invention, high-precision monitoring, intelligent evaluation and system optimization of the island ecosystem carbon sequestration capability are realized.

The invention discloses an intelligent water conservancy three-dimensional twinborn scene construction method and system, and relates to the technical field of intelligent water conservancy, and the method comprises the steps: collecting scene data in real time through a multi-source sensor disposed at a water conservancy facility site, including hydrological parameters, facility structure data, environment image data and ecological monitoring data; performing space-time alignment and deviation correction on the scene data by using a deep learning driven multi-modal feature fusion algorithm to generate a three-dimensional water conservancy grid model of a unified coordinate system; according to the real-time data updating frequency and the environment change trend, a local or global updating strategy of the three-dimensional water conservancy grid model is adaptively adjusted, the optimized three-dimensional water conservancy grid model and a virtual reality engine are integrated, and a twin scene supporting gesture interaction is constructed; an ecological simulation module is embedded in the twinborn scene to dynamically evaluate the influence of water conservancy activities on water quality and biological habitats.

The invention belongs to the field of bird repelling and equipment state monitoring, and particularly discloses a bird inhabitation multi-mode repelling and state monitoring device and method. The device is combined with a photosensitive device for day and night environment discrimination, is integrated with an intelligent hardware device of a multi-mode driving unit and a state monitoring module, and is suitable for long-term bird prevention operation in unattended scenes such as power transmission lines and transformer substations; further, accurate detection of bird approaching is realized by fusing various sensors, efficient repelling is performed by combining a multi-channel interference means of touch, hearing and vision, meanwhile, the running state of the anti-bird structure is monitored in real time, and data is remotely transmitted back, so that long-term, stable, protection and monitoring integration in an unattended scene is realized, and the safety and reliability of the system are improved. The threat of bird damage to safe operation of a power system is effectively reduced.

The invention discloses an inland river basin intelligent ecological scheduling rehearsal method fusing a scheduling process and an ecological process. The inland river basin intelligent ecological scheduling rehearsal method comprises the steps of multi-source data acquisition and digital twinborn construction; carrying out reservoir intelligent scheduling reinforcement learning modeling; ecological process lag response modeling is carried out; spatial diffusion modeling of ecological influence; performing cross attention guided ecological response interpolation; and carrying out rehearsal and visual display on the ecological scheduling scheme. According to the method, a hydrological-ecological response modeling mechanism is introduced, and a time-space response relationship between scheduling behaviors such as water level and water volume and ecological indexes such as vegetation indexes and habitat indexes is combined, so that lagging response characteristics of an ecological process to the scheduling behaviors can be quantitatively described, and the defect that a traditional scheduling model is insufficient in ecological expression capability is overcome. A reinforcement learning algorithm is utilized to fuse multi-source data for state perception and strategy iteration, and the scheduling strategy can be dynamically adjusted according to the current hydrological situation and ecological feedback result of the watershed. Compared with static rule type scheduling, the regulation and control efficiency and ecological adaptability are remarkably improved.

The invention provides a wild animal and habitat remote sensing monitoring identification method and system, and belongs to the technical field of wild animal monitoring and habitat evaluation, and the method comprises the steps: obtaining a satellite remote sensing image based on the habitat range of a target research species, and delimiting the potential habitat range of the target research species; obtaining unmanned aerial vehicle remote sensing data in the range to obtain a first image feature vector identification activity trace, and determining a target research area of the target research species; processing species monitoring data monitored by an infrared camera in the target research area to obtain a second image feature vector; inputting the second image feature vector into a preset species identification model to obtain a species identification result; performing fusion analysis on the species identification result, the satellite remote sensing image and the unmanned aerial vehicle remote sensing data, and extracting multi-dimensional habitat variables; and inputting the multi-dimensional habitat variables and the species identification result into a preset habitat quality evaluation model to obtain a habitat quality evaluation result of the target research area.

The invention discloses a degraded wetland near-natural restoration method based on provenance production improvement, belongs to the technical field of wetland ecological engineering, and solves the restrictive problems of plant provenance deficiency caused by exogenous interference and low sustainable efficiency after wetland restoration. The method comprises the following steps: 1, defining provenance deletion and recovering wetland site selection; 2, creating a grid habitat of the target wetland; 3, collecting and cultivating a breeding matrix; 4, performing segmented management and control on hydrological conditions; and 5, seed source production monitoring and propagation mediation. The method is suitable for a degraded wetland near-natural recovery scene with provenance production obstacles.

An erosion coast ecological protection system comprises: ecological submerged dikes, tidal flat habitats, vegetation habitats and ecological breeding areas arranged in sequence from sea to land on the erosion coast; the ecological submerged dikes are arranged in the subtidal zone parallel to the coast, the overall structure is composed of multiple sections of submerged dikes and gates, and the length of a single section of submerged dikes is not less than 8 times the wavelength; the tidal flat habitat is connected with the ecological submerged dike and is properly decorated according to the tidal flat terrain to form a multiple habitat consisting of shallow water areas and deep water areas; the vegetation habitat area is located in the intertidal zone, and its outer edge is arranged with riprap to avoid tidal channels, the slope is about 1:2-1:3, and a vegetation belt of not less than 50m wide is planted on the land side; the ecological breeding area is provided with a plurality of breeding ponds with field-shaped channels, the top width of the channel is about 4-6m, and several rows of tamarisks are planted to form a wind-resistant buffer zone.

The invention discloses a vegetation-submerged embankment coupled tough coast protection method and system and a storage medium, and the method comprises the steps: firstly, determining a research region, and systematically collecting the near-shore terrain, water and sand power conditions, vegetation parameters and other data; secondly, constructing a water-sand-vegetation coupling numerical simulation model based on the collected data, and performing precision verification on the model; then selecting a suitable vegetation type in combination with environmental characteristics of the research area, carrying out artificial seeding and planting work in a vegetation potential habitat of the tidal flat, and determining a design elevation and an offshore distance of the submerged dike; and finally, evaluating the coast protection effect under the synergistic effect of the submerged embankment and the vegetation, and quantitatively analyzing the improvement degree of the coast protection effect on wave attenuation and beach stability. A sustainable tough coast protection system can be formed under the climate change background through a collaborative protection mechanism integrating natural vegetation and an artificial submerged embankment. The method has the advantages of low cost, remarkable wave reduction effect and the like, and the capability of coping with climate change challenges and comprehensive protection of coastal zones can be effectively improved.

The invention relates to a habitat restoration-oriented sediment elution critical threshold evaluation method. The method comprises the following steps: introducing form classification including an exchange state, a carbonate binding state, an iron and manganese oxide binding state, an organic binding state and a residue state; a dynamic disturbance response mechanism is fused, and the elutable proportion is re-evaluated under the conditions of flow velocity, pH, oxidation reduction potential Eh and change; calculating a potential active flux index PAFI to quantify a real releasable part of the pollutants in the bottom mud; establishing pollution flux and biological response time sequence data; depicting ecological response sensitive inflection points by using nonlinear fitting; extracting an ecological function critical damage point EBCP as an ecological constraint upper limit of the elution threshold; constructing a habitat bearing factor set comprising a water body volume ratio, submerged vegetation density and benthic organism biomass; introducing a bearing feedback coefficient CFC, and dynamically correcting a pollutant critical flux value; and outputting a loadable elution flux interval for judging whether the ecological risk red line is touched or not.

The invention provides a key habitat identification method, device and equipment based on a species-habitat network. The method comprises the following steps: acquiring landscape type vector data and species survey data of a research area; dividing multiple habitat types based on the landscape type vector data; on the basis of habitat types, a species and habitat incidence matrix is constructed in combination with species survey data; constructing a species-habitat bipartite network based on the species and habitat incidence matrix; determining a plurality of centrality indexes of each habitat type node in the species-habitat bipartite network; performing standardization processing on the plurality of centrality indexes, and determining a comprehensive importance index of each habitat type based on the centrality indexes after standardization processing and a preset weight; and sorting habitat types based on the comprehensive importance index, and identifying a key habitat. By means of the mode, quantitative expression of the structural relation between the habitat and the species and applicability and flexibility of habitat importance identification are achieved, and deviation caused by dependence on a single index is avoided.

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 multifunctional mammal ecological monitoring system and method based on an unmanned aerial vehicle, and belongs to the technical field of ecological monitoring. The system comprises an unmanned aerial vehicle platform configured to provide a flight function and provide a mounting platform for other modules; the multi-sensor integration module is configured to be capable of collecting information of mammals and living areas of the mammals; the intelligent control module is configured to identify a target, navigate and control the work of the unmanned aerial vehicle platform; and the data processing module is configured to perform edge calculation on the collected data, fuse the data of the multiple sensors and generate an ecological behavior monitoring result and a habitat environment monitoring result of the mammals. According to the invention, high-precision, intelligent, low-interference and large-range real-time monitoring of ecological behaviors, population distribution, habitat environment and the like of mammals can be realized.

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

The embodiment of the invention discloses a Himalayan marmot hole intelligent identification model construction method fusing habitat information. The method comprises the steps of obtaining multiple unmanned aerial vehicle image maps of a Himalayan marmot hole; the habitat features of marmot holes and the surroundings of the marmot holes in the unmanned aerial vehicle images are marked, and the habitat features comprise hole earth mounds, vegetation, stones and animal traces; and training a target detection model by using each marked unmanned aerial vehicle image map, and using the trained model to improve the situation of marmot hole missed identification. The embodiment of the invention can overcome the missing detection condition of marmot holes.

Generating and providing a condition assessment for a habitat is described. A geographic area having one or more geographic sub-areas is received. For each geographic sub-area, image data is received, a set of features is generated using the image data, a habitat for the geographic sub-area is received, and one or more condition assessment criteria are identified based on the habitat. For each condition assessment criterion, a subset of features is determined, and a trained model is applied to the subset of features to obtain a response to the condition assessment criterion. For each geographic sub-area, a condition assessment for the habitat is generated based on one or more responses to the one or more condition assessment criteria, and the condition assessment is provided.

Generating and providing a condition assessment for a habitat is described. A geographic area having one or more geographic sub-areas is received. For each geographic sub-area, image data is received, a set of features is generated using the image data, a habitat for the geographic sub-area is received, and one or more condition assessment criteria are identified based on the habitat. For each condition assessment criterion, a subset of features is determined, and a trained model is applied to the subset of features to obtain a response to the condition assessment criterion. For each geographic sub-area, a condition assessment for the habitat is generated based on one or more responses to the one or more condition assessment criteria, and the condition assessment is provided.

The invention belongs to the technical field of rice disease and insect pest monitoring applied to remote sensing, and provides a multi-data fused large-area rice disease and insect pest remote sensing monitoring method and system for solving the problems that in an existing monitoring method, multi-source data fusion application is insufficient, scales are different, and large-area disease and insect pest monitoring is difficult to achieve. S2, carrying out sample category balance processing on the ground-unmanned aerial vehicle sample set, and extracting a rice pest and disease damage area on the unmanned aerial vehicle image; s3, performing multi-scale data fusion on the initial multiple data; s4, performing integrated modeling training of the large-area rice disease and insect pest recognition model and obtaining a final monitoring result; the system comprises a ground sampling module, an unmanned aerial vehicle monitoring module, a data fusion module and a satellite monitoring module, precise monitoring of large-area rice diseases and insect pests under different farmland habitat conditions is achieved, and the problems that an existing method is small in coverage range, low in monitoring efficiency and insufficient in data fusion application are solved.

The invention discloses a crested ibis habitat ecological quality trend analysis method and system, and relates to ecological quality monitoring. The method comprises the following steps: S1, constructing an intelligent sensing network, synchronously obtaining multi-source data of a habitat, identifying activity events of crested ibis, and generating a multi-dimensional habitat parameter table; s2, collecting environmental samples, and generating a microbial functional gene abundance matrix through metagenome sequencing and bioinformatics analysis; s3, taking the activity events of the crested ibis as behavior tags, and generating habitat function health indexes by coupling the parameter table and the matrix training machine learning prediction model; s4, performing spatial interpolation and trend analysis based on the habitat function health index to generate an ecological quality space-time evolution graph; and S5, based on the ecological quality space-time evolution graph, performing quantitative analysis by using a spatial differentiation statistical model, and generating a trend analysis report. By fusing multi-source data, real-time dynamic evaluation of habitat ecological quality and quantitative analysis of driving factors are realized, and a direct decision basis is provided for accurate protection.

The invention belongs to the technical field of wild animal monitoring, and particularly relates to a habitat wild animal automatic monitoring and analysis system based on an unmanned aerial vehicle airport, and the system comprises an unmanned aerial vehicle airport module which is used for carrying out the site selection and establishment of the unmanned aerial vehicle airport; the unmanned aerial vehicle planning module is used for performing task planning on the flight route, the monitoring area, the flight height and the shooting time of the unmanned aerial vehicle according to the unmanned aerial vehicle airport position and the monitoring requirement; and the environmental parameter acquisition module is used for acquiring the environmental parameters acquired by the unmanned aerial vehicle when the unmanned aerial vehicle executes the task planned by the unmanned aerial vehicle planning module. According to the invention, 24-hour uninterrupted automatic monitoring can be realized, the monitoring continuity is greatly improved, the unmanned aerial vehicle can autonomously execute the monitoring work through the preset task planning, the monitoring efficiency is greatly improved, and compared with a traditional mode, the unmanned aerial vehicle can cover a wider area, and a large amount of monitoring data can be obtained in time.

The present application relates to a kind of methods for mass propagation of tea corner miridae in laboratory, comprising the following technical steps: collecting tea garden tea corner miridae adult, cultivating fall kui seedling, putting seedling and leading insect, tea corner miridae habitat and feeding, mating and oviposition and nymph hatching and feeding.The present application uses fall kui seedling as the main body of feeding raw material, and the leaf of raw material is relatively thick, strong in harm resistance, not easy to dry, which helps to improve the hatching rate of tea corner miridae eggs, reduce the frequency of raw material supply and replacement, at the same time, the present application saves time and effort, can be realized in laboratory low cost and sustainability fast, efficient, mass propagation of tea corner miridae test insect source.

The invention relates to the technical field of biological coast evaluation, in particular to a shellfish reef artificial biological coast construction effect evaluation method and a shellfish reef artificial biological coast construction effect evaluation system. According to the expected construction requirement of the shellfish reef artificial biological coast, multiple capture channels are obtained through evolution tensor decomposition in the dynamic evolution simulation model, the capture channels are used for evaluating and analyzing the construction effect of the target biological coast, and the current revetment inhabiting effect, revetment development capacity and shellfish reef life quality of the target biological coast are obtained; fitting and evaluating the inhabitation effect of the current revetment, the development capability of the revetment and the life quality of the shellfish reef through polar coordinates of a multi-dimensional evaluation polar map frame, and performing standard grade judgment to generate a construction effect evaluation result of the artificial biological coast of the shellfish reef. According to the method, a shellfish reef construction effect quantitative evaluation system taking the revetment inhabiting effect, the revetment development capability and the shellfish reef life quality as three dimensions can be constructed, and the rationality and scientificity of shellfish reef artificial biological coast construction effect evaluation are improved.

The invention belongs to the field of microorganisms, and particularly relates to a biochar-based immobilized microbial agent for promoting litter decomposition and a preparation method thereof.The biochar-based immobilized microbial agent for promoting litter decomposition comprises a biochar-based culture medium and a microbial seed solution, the active ingredient of the microbial seed solution is phanerochaete chrysosporium, and the preservation number is SHBCC D13411. According to the invention, the adsorption efficiency of the microbial agent is enhanced through the iron-modified biochar, and a habitat suitable for development and reproduction is provided for microorganisms; on the other hand, the biochar has very strong hygroscopicity, water molecules can be adsorbed on the surface, and a suitable growth environment is provided for microorganisms, so that the microorganisms are promoted to decompose litters.

The invention provides a river sediment physical habitat evolution identification method, device and system and a medium. The method comprises the following steps: acquiring a multi-temporal remote sensing image and hydrological data (flow Q, water level Zw and slope S), screening and other hydrological condition image pairs; extracting a water surface range, and calculating the average width B of the main groove; deducing the average water depth h by using a Manning formula, and calculating the riverbed elevation zbed by combining the Zw; the difference value delta zbed of zbed in different periods is calculated, and the substrate state is judged according to the difference value delta zbed and a threshold value epsilon; and performing segment processing along the center line to output a spatial distribution result. On-site measurement is not needed by relying on conventional data, and consumption is reduced; water level interference is eliminated through equal hydrological condition matching, and comparability is ensured; water depth inversion and differential analysis directly reflect scour deposition and quantitatively reveal rules; long-distance automatic processing improves space-time coverage capability and precision, and provides a basis for river regulation, ecological restoration and drainage basin management.

The invention discloses an avian influenza host bird behavior prediction method based on deep reinforcement learning, and the method comprises the following steps: S1, deploying a multi-angle and variable-frame-rate camera in a target habitat, and collecting multi-source video data; s2, performing frame insertion, illumination normalization and background denoising processing on the video data; s3, inputting the preprocessed data into an improved YOLOv5 model to obtain a target detection result; s4, constructing a dynamic graph neural network based on bird nodes and space-time edges, and outputting a clustering situation vector; s5, inputting the flight path into a low-layer Actor-Critic strategy network, and generating a local short-term behavior decision; s6, generating a global multi-walk prediction sequence in combination with the clustering situation vector and historical error feedback; and S7, comparing a prediction result with actual observation data, and triggering online fine adjustment according to deviation. According to the invention, non-intrusive and high-precision bird behavior prediction can be realized, and the method is suitable for bird flu monitoring and early warning scenes.

The invention belongs to the technical field of mariculture, and particularly discloses a grazing and breeding combined proliferation maintenance type anchor reef which comprises a base, a prismatic table body, a center supporting column and an embedded cabin, the outer vertical face of the base is provided with inclined biological micropores which are high in inside and low in outside, the middle of the top face of the base is provided with a silt collecting groove, and a biological shell is embedded in the inner wall of the silt collecting groove; a penetration structure is arranged at the bottom of the base; the prismatic table body is clamped above the base and is hollow, a plurality of inhabiting channels are formed in the side surface, and a flow through hole is formed in the center of the top surface; the center supporting column penetrates through the center of the base and the center of the prismatic table body, an embedded cabin is integrated in the middle of the center supporting column, a bionic nest is arranged in the embedded cabin, and a biological egg attachment base is fixed in the nest; and the top end of the central supporting column is connected with the anchor chain connecting piece. The anchoring reef can be used as an anchoring system for fixing a culture facility, can also play a role in resource proliferation and maintenance, has the advantages of being stable in structure, convenient to assemble and transport and suitable for living beings to inhabit, and realizes organic combination of ecological restoration and culture production functions on the anchoring reef.

The invention discloses a cuttlefish reef integrating egg laying and juvenile rearing. The floating fish reef is positioned above the bottom attachment reef; the floating body is arranged on the upper frame; the shading clay plate is arranged in the middle of the upper frame; the upper netting is arranged at the side part of the upper frame; the clay pipe is arranged on the upper netting; the attachment rope is transversely connected with the inner side part of the upper frame; the clay box is hung on the attachment rope; the pile rope is connected with the upper frame and the pile; the lower netting is arranged outside the lower frame, and an entrance is formed in the lower netting; the upper end of the support is connected with the lower frame, and the lower end of the support is connected with the foot margin. Abundant attaching organisms such as algae are attached to the surface of the floating fish reef, and larva cuttlefishes and other animals are attracted to gather. The bottom fish reef serves as a cuttlefish spawning base, meanwhile, the flow field environment is changed, seabed nutritive salt is driven to be conveyed to the upper middle layer, the primary productivity of a sea area is improved, and an inhabiting and foraging place is provided for young cuttlefishes. The cooperative linkage effect of the floating fish reef and the bottom attachment reef is good, and the comprehensive utilization efficiency of ocean resources is improved.

The invention relates to the technical field of waterfowl habitat recovery, in particular to a geranium wilfordii pause habitat recovery method. The method comprises the steps of selection of a suitable pause habitat, terrain transformation of the pause habitat, vegetation adjustment of the pause habitat, water body control of the pause habitat and specific food source supplementation: small fishes are regularly put and matched with benthic organisms such as shrimps and snails, so that smooth feeding of the geranium wilfordii is effectively ensured, the method is suitable for pause of the geranium wilfordii, and the health of geranium wilfordii populations is favorably improved; and a reference thought and practical reference significance are provided for geranium wilfordii population recovery.