79 results about "Species distribution" patented technology

The invention belongs to the technical field of zoology and remote sensing information science and relates to a distributed remote sensing data organization query method based on the NoSQL database. The method includes the steps: preprocessing an original remote sensing data file, and outputting an initial remote sensing image file according to an appointed format, extracting data of each pixel and data element information in the initial remote sensing image file; reconstructing the extracted data of each pixel and data element information as unstructured text data; storing the unstructured text data in the distributed NoSQL database, and setting up query indexes; and returning corresponding remote sensing data to users according to query conditions inputted by the users, and regenerating image files. The distributed remote sensing data organization query method based on the NoSQL database can be used for effectively storing and managing massive remote sensing data and can be applied to correlated fields of remote sensing ecological monitoring, species distribution forecast, remote sensing data inversion and the like.

A testing system useful for food products employs a multispecies testing array to test for presence or amount of a plurality of organisms in a sample by detecting plural characteristic sequences for each of plural organisms to form a multispecies distribution output or microbial profile, and this is processed or used in conjunction with data mining or other processing to provide trend, warning or other data. The processor correlates and stores information relating to taste, smell, texture, processing conditions, quality or source of a component or ingredient, potential pathogenicity or other factor, with correlations on a multidimensional space yielding new preconditions or warning indications, and providing a mechanism for specialization of the species distribution data for specific products, as well as for incorporation or development of process changes and company trade secrets.

The present invention discloses a rare earth-containing amorphous / nanocrystal aluminum anode composite material, a preparation method and an aluminum air battery, and belongs to the techncial field of air batteries. The aluminum anode composite material comprises, by weight, 0.5-5% of Mg, 0.02-2% of Sn, 0.02-2% of Ga, 0.1-5% of La or Ce, and the balance of Al. According to the present invention, aluminum with the purity of more than or equal to 99.8% is adopted as the base, the trae amounts of Mg, Sn, Ga and the rare earth element La or Ce are added so as to reduce the self-corrosion rate and improve the electrochemical property and the surface dissolution uniformity of the alloy, especially the trae amount of the rare earth element is added to the aluminum alloy, and the addition of the rare earth element to the aluminum has effects of oxygen removing, hydrogen removing, desulfuration, melting rate accelerating, metal burning loss reducing, change of species distribution and refinement modification of iron and other harmful impurities, and the like so as to slow down the self-corrosion of the aluminum alloy, such that the anode utilization rate is improved.

The invention discloses a method and system for determining mitochondria genome sequence information of various samples at the same time, wherein the various samples belong to different species. The method includes the following steps of: providing genome DNA of each of the various samples and mixing the genome DNA; performing library construction on the DNA mixture; performing sequencing on the DNA sequencing library; performing screening on the plurality of sequencing sequences to obtain a target sequence; performing sequence assembly on the target sequence to obtain the plurality of assembled sequences; performing morphological species taxonomy on each of the various samples to obtain morphological species taxonomy information of the various samples; performing species distribution on the assembled sequences based on the morphological species taxonomy information of the various samples and reference to a mitochondria protein gene database to determine the assembled sequence of each of the various samples; and respectively constructing a mitochondria genome of each of the samples based on the assembled sequence of each of the various samples, and determining the mitochondria genome sequence information.

Disclosed is a plasma processing apparatus having a plasma producing portion and a porous plate provided between the plasma producing portion and an object to be processed, wherein the porous plate has a plurality of holes which are made non-uniform with respect to at least one of shape, size and disposition. Specifically, the shape, the size or the disposition of the holes is determined on the basis of an active species distribution at the plasma producing portion and of diffusion calculation, so that plasma active species adjacent the object to be processed has desired concentration and distribution. This assures uniform plasma distribution adjacent the object while a decrease of plasma density can be well suppressed.

The invention discloses a multifunctional climate data model and an application thereof. The multifunctional climate data model takes methods, such as an air temperature elevation regulation equation, a bilinear distance weighting interpolation, harmonic fitting and the like, as a basis to realize the generation of climate variables at any scale. According to data, by combining a species distribution model, tree species suitability distribution under a future climate condition can be predicted, and the basis is provided for tree species selection during the afforestation or reafforestation of a forestry department so as to improve forestry productivity. The climate data generated by the multifunctional climate data model also can provide long-term climate data support for a forest ecosystem growth model so as to improve the prediction precision of the growth model. According to a downscaling method provided by the invention, a plurality of atmospheric general circulation model prediction results of the Intergovernmental Panel on Climate Change can be converted at any scale so as to provide the data support for relevant researches under multiple models and multiple scenes.

The invention relates to a method for breeding cultivation seedlings of rare or endangered euryodendron excelsum artificially. The method comprises the following steps of: collecting mature euryodendron excelsum fruits in a species distribution area, and cleaning mature seeds; preparing a sprouting medium by using humus soil and loamy soil in a volume ratio of (1-3):1; mixing the seeds and dried river sand uniformly, broadcasting the mixture uniformly on a sprouting medium, covering a layer of surface humus soil, keeping the temperature of between 20 and 25 DEG C for 4 to 6 weeks to obtain seedlings with true leaves; after the seeds germinate, transplanting the seedlings with 2 to 5 true leaves, wherein the seedling transplanting medium is the same as the sprouting medium; and after transplanting the seedlings, ensuring moisture required by the growth in the seedling stage, allowing the seedlings in the environment of high temperature and high humidity to grow, and growing for 18 to 24 weeks to perform field transplantation. By the method, the seed germination rate of the euryodendron excelsum is over 70 percent, the survival rate of the seedlings is over 80 percent, the cultivation seedlings are robust, and 'little old seedlings' are avoided. The method is suitable for large-scale field transplantation. The method provides a technical guarantee for the salvation of the rare or endangered species, the recovery of population and the effective protection of resources.

A computerized system of performing fish census which otherwise requires high level of domain knowledge and expertise is described. Divers with minimal knowledge of fish can obtain high quality population and species distribution measurements using a stereo camera rig and fish video analyzer software that was developed. The system has two major components: a camera rig and software for fish size, density and biomass estimation. The camera rig consists of a simple stand on which one to four pairs of stereo cameras are mounted to take videos of the benthic floor for a few minutes. The collected videos are uploaded to a server which performs stereo analysis and image recognition. The software produces video clips containing estimates of fish size, density and species biodiversity and a log report containing information about the individual fishes for further end user analysis.

The invention discloses a hospital intelligent distribution robot, which comprises a robot main body, a support plate, a medicine storage box and a drawer. A movable rod is arranged, and rollers are fixed under the movable rod. This kind of hospital intelligent distribution robot is equipped with a connecting plate and a movable shaft, and the movable rod is connected with the rollers, and the connecting plate and the movable shaft are connected to each other in a "parallelogram" shape, and the circular movement of the movable rod and the roller is convenient for the robot to rotate left and right. , in order to improve the anti-seismic ability of the robot, the connecting plate and the movable shaft form a parallelogram-shaped upper and lower connection structure. When walking on uneven ground, it will slightly elastically vibrate up and down to buffer the impact force brought by the ground and prevent the internal storage of drugs from being shaken. , to protect the activity inside the drug, suitable for the production and use of robots, and has a good development prospect.

The invention provides a carbon-containing iron-based catalyst for hydrogenation of CO2 to prepare hydrocarbons. The catalyst is characterized in that a bimetallic ZIF is used as a precursor, an ironsource is introduced, nanoparticles adopting pyr5C2 and Fe3ZnC0.5 as iron species are prepared by pyrolysis in an inert atmosphere, and the nanoparticles are embedded in a porous carbon matrix to formthe carbon-containing iron-based catalyst. The invention also provides a preparation method of the carbon-containing iron-based catalyst for hydrogenation of CO2 to prepare hydrocarbons. The porous carbon-containing iron-based catalyst is designed and prepared to solve the problems of poor catalysis effect and poor stability of iron-based catalysts free from alkali metals in the prior art. A porous carbon material with good metal species distribution is prepared by pyrolysis in the inert atmosphere with the ZIF as the precursor, the metal particles in the ZIFs-derived material are separated by carbon layers, and have good dispersibility, and the porosity of the carbon material is conducive to the adsorption of CO2.

The invention relates to an atmospheric pressure photoionization mass spectrum device for analyzing solid fuel pyrolysis on line. The device comprises a pyrolyzing furnace, an auxiliary volatile solvent introduction mechanism, an atmospheric pressure photoionization source and a mass spectrometer. With the increasingly exhausted fossil fuel, a process of preparing various hydrocarbon fuels and petrochemical materials through solid fuel pyrolysis is gradually concerned by people. According to the invention, the species distribution and generation mechanism of solid fuel pyrolysis products such as solid wastes (such as polypropylene), biomass, coal and oil shale can be accurately and rapidly analyzed on line in real time, people can be helped to well master the internal rules of pyrolysis, effective resource utilization is comprehensively realized, and the device has great significance on sustainable development of China.

The invention discloses an aconitum coreanum DNA barcode based on big data and a method for identifying aconitum coreanum, and belongs to the technical field of molecular identification. Through extensively investigating a distribution area of aconitum medicinal plants and sampling in many places as far as possible in a species distribution area, a barcode big data base of ITS sequences of the aconitum medicinal plants is constructed, then a unique ITS sequence specific information site of aconitum coreanum is found through comparison, and further a unique DNA barcode of the aconitum coreanumis obtained; the DNA barcode is a sequence with a total length of 629 bp and obtained by amplification of primer sequences SEQ ID NO. 1 and SEQ ID NO. 2, the 89th bp is A, the 443rd bp is A, the 447thbp is A, the 491st bp and the 492nd bp are AT, the 499th bp is T, and the 577th bp is C. The DNA barcode can greatly facilitate the rapid identification of the medicinal plant aconitum coreanum.

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 provides a method for improving the time shift ability of an ecological niche model. The method comprises the steps of according to species distribution data and all environmental factor data of a target region, constructing an initial ecological niche model, wherein the initial ecological niche model comprises an initial early-stage model and an initial later-stage model; and by utilizing a preset method, improving the initial ecological niche model to improve the time shift ability of the initial ecological niche model, wherein the time shift ability includes tracing ability and predicting ability. According to the method, the time shift ability of the ecological niche model can be effectively improved and the accuracy of simulation can be enhanced.

The invention relates to a method for detecting pathogen distribution and drug resistance of pathogen species, including the steps: obtaining a pathogen sample by centrifugation or filtration from a body fluid known to contain or possibly contain pathogen cells; taking out a certain amount of pathogen sample and antibiotic respectively, dripping at least one contain at the same time or step by step, wherein the bottom of the contain is provided with a planar quadrupole gold microelectrode array, and a voltage signal applied on the microelectrode can generate a non-uniform electric field, so that pathogen cells form a dielectrophoretic directional movement, and aggregate into several to several hundred pathogen cell aggregates toward the center of the bottom of the container. By performingthree-dimensional Raman spectroscopic imaging on the pathogen cell aggregates by laser scanning, it is possible to distinguish different pathogen cell distributions and drug resistance situations in the pathogen cell aggregates. The present invention also provides an apparatus for realizing the above-mentioned detection of pathogen distribution and drug resistance of pathogen species. Through thereal-time detection and analysis of these Raman spectra, the pathogen species distribution and drug resistance screening are carried out.

The invention discloses a method for measuring species uniformity. The method includes the steps: by means of a typical community survey method, obtaining the relative frequency for distribution of different populations in a community, calculating the actual relative frequency distribution of different populations and the genetic absolute distance and standard deviation under the uniform distribution, and then calculating the non-uniformity of the distribution of the number of species in different populations according to the genetic absolute distance d'xy corrected by the standard deviation so as to obtain the uniformity of each species within the community: as shown in the description, and performing variation measurement by using a genetic distance formula; defining yi in the genetic distance formula as equal frequency of all species in the community, that is, even distribution of the species; introducing a standard deviation of the frequency distribution of the species within the community in the genetic distance formula; and measuring the species uniformity by using the above SE formula . The method for measuring species uniformity is high in measurement efficiency and accuracy.

The invention provides a multi-source species distribution data processing method, which comprises the following steps of: 1, collecting environmental data of a species distribution area, and determining an environmental data layer corresponding to each species according to conditions required by species survival; 2, collecting species multi-source distribution data; 3, generating a priori distribution range graph, a distribution restriction area graph and a distribution preference area graph of species according to the planar data, the punctiform data and the descriptive data; 4, respectively taking the species point data and the environmental data layer as input data of a species distribution model, and calculating the distribution model to obtain a species probability distribution diagram; 5, determining a species distribution threshold according to the prior distribution range graph, a known species occurrence point and a species probability distribution graph, and generating a species binary distribution graph; and 6, cutting or erasing the binary distribution diagram according to the prior distribution range diagram, the distribution restriction region diagram and the distribution preference region diagram to obtain a species distribution diagram. The method disclosed by the invention has universality.

The invention relates to a water supply pipe network planning evaluating method on the basis of species distribution, which is characterized by comprising the following steps of: carrying out system initialization; opening a water supply pipe network planning drawing to be evaluated, which is in a dwg format; selecting a pipe network in the drawing as a set to be calculated; inputting calculating parameters into an AutoCAD prompt; calculating a fractal dimension D and a theoretic optimal dimension D<optimal> of the water supply pipe network; and according to the fractal dimension D and the theoretic optimal dimension D<optimal> of the water supply pipe network, which are obtained by calculation, automatically judging whether the water supply pipe network is reasonably planned and arranged, and outputting an evaluation conclusion. The calculated and evaluated rationality of the planning and the arrangement of the water supply pipe network of a specific project is utilized, and the water supply pipe network is further improved according to an optimal direction, so that the purpose of optimizing the planned result of the water supply pipe network is achieved.

Embodiments of the invention generally provide methods for etching a substrate. In one embodiment, the method includes determining a substrate temperature target profile that corresponds to a uniform deposition rate of etch by-products on a substrate, preferentially regulating a temperature of a first portion of a substrate support relative to a second portion of the substrate support to obtain the substrate temperature target profile on the substrate, and etching the substrate on the preferentially regulated substrate support. In another embodiment, the method includes providing a substrate in a processing chamber having a selectable distribution of species within the processing chamber and a substrate support with lateral temperature control, wherein a temperature profile induced by the substrate support and a selection of species distribution comprise a control parameter set, etching a first layer of material and etching a second layer of material respectively different control parameter sets.

The invention relates to an animal group geographical zoning method based on species composition characteristics. Geographical zoning is carried out by utilizing the distribution pattern of species. The method is based on a fine grid network, and utilizes species distribution data to establish a spatial distribution binary grid image of each species in a target area. The binary images are fused assingle waveband data to obtain species distribution multispectral data of the target area. A species composition dissimilarity index is established as an inter-grid species difference measurement unit for clustering and grouping to obtain a category to which each grid unit belongs. And finally, an appropriate drawing comprehensive rule is formulated to carry out vectorization display on the grouped grids to obtain a vector-based animal group geographical zoning result graph. According to the method, geographical zoning is carried out by directly utilizing the distribution data of the species,so that compared with the conventional method for carrying out zoning by mainly utilizing environmental factors, the actual geographical zoning of species composition is better reflected, and meanwhile, a basis is provided for carrying out geographical zoning of different levels and different granularities.

The invention relates to a comprehensive assessment technology for influences and risks of future climate changes on biodiversity and belongs to the technical field of ecological environment protection and climate change. Based on the comprehensive investigation of the characteristics of biodiversity in China, the technology, by using climate change scenario pre-estimation technology, a Monte Carlo method, computer simulation, GIS and risk assessment technology, discipline theories and practices such as climatology and probability theory, establishes an influence and risk assessment index of climate change on biodiversity, a species distribution loss rule, a randomized climate scenario, and a combination of niche models and climate scenarios, simulates a climate change influence, and assesses the influences and risks of future climate changes on biodiversity. The technology is a technical measure for establishing biodiversity protection acclimatization change, protects the biodiversity, and has important social, economical and environmental benefits. The technology is good in operability, low in cost, low in maintenance cost, wide in application range, and especially suitable for the assessment of influences and risks of the climate changes on biodiversity in China.

The invention provides a data processing method and device. A species distribution model is run according to collected species records and environment data to obtain a species distribution probabilitygraph; then the species distribution probability graph is rasterized to obtain a species distribution threshold value; then the species distribution probability graph is binarized to obtain a speciesdistribution graph layer; and finally, the species distribution graph layer is tailored according to species habitat types to obtain a species habitat distribution graph. According to the species habitat distribution graph obtained through the above-mentioned processing process, accuracy is high, true geographical distribution information of a species can be accurately reflected, and thus a morepractical information basis can be provided for ecological research and designation of a protection strategy.

The invention discloses a species habitat quality simulation method based on multi-source data, and the method comprises the steps: preprocessing a satellite remote sensing image, building a species interpretation mark suitable for characteristics of the satellite remote sensing image according to landforms and image characteristics of species distribution, and performing extraction and verification of sample information; establishing an environmental factor database of species distribution simulation, and performing data standardization processing and environmental factor colinearity test; based on species distribution points interpreted by a satellite remote sensing image and an environmental factor database of standardization and colinearity inspection, screening out dominant environmental factors influencing species distribution and simulating habitat distribution suitable for species according to the dominant environmental factors. The species suitable habitat distribution simulation method combining the high-resolution satellite remote sensing data and the standardized environmental factor database provided by the invention can provide scientific guidance for regional ecological protection and restoration, characteristic industry development and the like, and is of great significance to introduction, cultivation and large-scale planting of species.

The invention relates to a device and method for measuring the distribution pattern of herbaceous plant phytocoenosium species. The measuring device comprises at least two modular frames, wherein eachmodular frame comprises two parallelly arranged frame sides, multiple mutually parallel silk threads are arranged between the two frame sides in an equally divided mode, the silk threads are perpendicular to the frame sides, a right-angled bend part is arranged at one end of each frame side, and the right-angled bend parts on the two frame sides are arranged diagonally. One modular frame is a longitude frame, the other module frame is latitude frame, and the longitude frame and the latitude frame are combined to form a measurement frame. The device is simple in structure, easy to carry and low in manufacturing cost and can quickly measure the spatial distribution pattern of herb phytocoenosium.

The invention discloses a landscape-scale plant diversity evaluation method with time-space consistency. The method comprises the following steps: S1, interpreting a medium-high resolution remote sensing image based on a random forest method, and obtaining a typical plant community spatial distribution diagram of a research area; s2, performing drainage basin analysis based on a digital elevation model (DEM) of the research area, and dividing the research area into a plurality of water collection areas or small drainage basins; s3, improving a plant diversity evaluation index of a sample point scale, replacing species counting with a species distribution area, and constructing a landscape-scale plant diversity evaluation index Di (x, y) with time-space consistency; and S4, calculating the landscape-scale plant diversity index of each small watershed of the research area, evaluating the overall plant diversity of the research area by using the landscape-scale plant diversity index, and analyzing the spatial-temporal change of the overall plant diversity. The method is suitable for plant diversity evaluation of regional scale long-time sequences, the operation method is simple and convenient, and popularization and application are facilitated.

The invention relates to a strain of downward strain space methylobacterium LCT-S10-2 separated out of a re-entry capsule of the Shenzhou IX airship. The space methylobacterium LCT-S10-2 is an aerobic bacterium, a short-rod-shaped gram stain variable strain (figure 1), a chemoheterotrophic bacterium, a facultative methylotrophic bacterium and a rare facultative methane nutritional bacterium, and the strain grows slowly. The space methyl bacillus LCT-S10-2 is subjected to 16S rRNA sequencing, and is identified as a methylobacterium member. Whole genome sequencing analysis is carried out, the whole genome size is 4.57 Mbp, the GC content is 66.84%, the predicted gene number is 4946, and protein of LCT-S10-2 is classified and annotated as 20 kinds of COG families. The LCT-S10-2 bacterium can grow on the surface of epoxy resin and the surface of vulcanized natural rubber, and a corrosive biological film is generated. The bacterium cannot grow on the surface of ester polyurethane, the surface of ether polyurethane and the surface of polyvinyl formal, and no corrosive biological film is generated. Certain help is provided for studies of species distribution of microorganisms in an airtight aircraft and selection of corrosion-resistant materials.

The invention discloses an industrial timber forest productivity prediction method based on species distribution and productivity coupling. The method comprises the steps of employing a maximum entropy model to simulate the suitability of an industrial timber forest, building a coupling relation between the predicted environmental suitability and the productivity value of the industrial timber forest, and obtaining an environmental suitability-productivity conversion equation; and then, carrying out habitat simulation under various different intensity climate change scenes in the future, and carrying out further grid calculation on the obtained global environment suitability map layer through the conversion equation between productivity and environmental suitability; and finally, obtainingthe global suitable zone and production potential of the industrial timber forest. The species distribution model is combined with published ground survey biomass data to predict the future forest productivity, so that global-scale high-precision simulation is realized, and large-scale future biomass distribution simulation can be performed in combination with the characteristics of future climatic changes; and the method is of great significance to industrial timber forest afforestation area selection and future productivity maintenance or promotion.

The invention provides a primer group, kit and method for detecting an astronotus ocellatus population, and belongs to the technical field of species distribution detection. The primer group comprisesan upstream primer, a downstream primer and a fluorescent probe; the nucleotide sequence of the upstream primer is as shown in SEQ ID No. 1, the nucleotide sequence of the downstream primer is as shown in SEQ ID No. 2, and the nucleotide sequence of the fluorescent probe is as shown in SEQ ID No. 3. The method comprises the following steps: (1), collecting an environment eDNA sample from a to-be-detected environment; (2), extracting DNA in the environment eDNA sample to obtain a DNA sample solution; and (3), taking the DNA sample solution as a template, carrying out qPCR amplification by using the primer group, measuring a Ct value, and judging a result according to the Ct value. The method can be used for rapidly and efficiently detecting the astronotus ocellatus population by adopting an environmental DNA technology on the premise of not damaging the environment and the indigenous fish population.

The invention discloses a method for evaluating a spartina alterniflora suitable area. The method comprises the following steps: 1) determining spartina alterniflora distribution points and constructing a model evaluation area; 2) screening a spartina alterniflora suitable area evaluation index system, and establishing a spartina alterniflora environmental ecological niche invasion risk evaluationmodel; and 3) carrying out simulation calculation and comparison on propagation distribution of spartina alterniflora seeds or tillering plants. According to the method, the spartina alterniflora distribution of the current time and the historical time is mastered by using a remote sensing technology; the potential distribution of spartina alterniflora under the future environmental change is predicted by combining an ecological niche model; meanwhile, hydrodynamic simulation is innovatively adopted to predict the propagation distribution range and path of spartina alterniflora seeds or propagules; and the method guarantees the feasibility of the actual calculation amount while guaranteeing the reliable precision of species distribution data, environment data selection and model prediction, further improves the prediction precision of the potential growth region of spartina alterniflora, and enables the calculation of the spartina alterniflora suitable region evaluation method to be more feasible.

The invention discloses a green belt for noise reduction in residential areas, the green belt is planted near walls of the residential areas, the green belt includes arbor plants, shrub plants and herbs which are planted in a stepped configuration mode, the stepped configuration mode includes a front row, a middle row, and a back row, the front row is herbs, the middle row is shrub plants, and theback row is arbor plants, wherein the horizontal canopy degree of the arbor plants is greater than 70%, and the width of the green belt is not less than ten meters. Through the above method, the green belt has good noise cancelling effect and strong operability, and can be used for greening in most residential areas to create a livable living environment; and the green belt has the characteristics of optimized species distribution and good symbiotic relationship, high landscape effect and ecological value, easiness for growing and maintaining, and ecological sustainability.