224 results about "Mangrove" patented technology

The invention relates to preparation methods and uses of two dioxypiperazine compounds. The invention adopts aspergillus effuses H1-1 from root mud of Fujian mangrove forest to product novel structural dioxypiperazine compounds. Tests prove that: the compounds can be used as cellular breeding depressant or anti-tumor agent.

The invention provides a method for planting mangrove plants in fresh water, which comprises the following steps of: digging plant holes, culturing seedlings, lifting and transporting the seedlings, planting, and the like. According to the method for planting the mangrove plants in fresh water, the mangrove plants can be planted in a freshwater environment and play an important role in water, soil and ecological conservation in the freshwater wetland system; and the landscape of mangroves can be appreciated in freshwater areas, therefore the garden landscape is enriched.

The invention relates to a method for carrying out mangrove forest map making on intermediate resolution remote sensing image by utilizing object-oriented classification method, which relates to a method for mangrove forest map making and solves the problems of time and labor waste, bad timeliness and serious neglected and wrong classification of mangrove forest in positioning and map making of mangrove forest map making through conventional means at present. The method comprises the following steps: firstly, carrying out ortho-rectification and geometric exact correction on Landsat TM data so as to obtain Landsat TM images after registration; secondly, carrying out multi-layered multi-dimensioned division on the Landsat TM images after registration, wherein each division unit is used as an object; thirdly, extracting textural and topological characteristics, and calculating normalized vegetation index and ground surface humidity index; fourthly, removing a non-vegetated object so as to obtain a vegetated object; fifthly, extracting a mangrove forest object from the vegetated object; sixthly, exporting the mangrove forest object so as to generate a mangrove forest vector; and seventhly, manufacturing a mangrove forest thematic map. The method disclosed by the invention is used for mangrove forest map making.

The invention relates to a penaeus vannamei boone ecological culturing system, which comprises a high level intensive culturing area, a circulating water passage, a shellfish culturing area, a salt-resistant plant area and a water quality treatment area, wherein the high level intensive culturing area, the shellfish culturing area, the salt-resistant plant area and the water quality treatment area are communicated by the circulating water passage. Before the penaeus vannamei boone is put into the system, bdellovibrio bacteria liquid and nitrifying bacteria are added into water of the high level intensive culturing area. During culturing, the traditional Chinese medicine liquid is added into the high level intensive culturing area. The system has the advantages that a culturing water body can be recycled, so the drainage of sewage is reduced, and the pressure on the ecological environment is reduced; the body immunity of the penaeus vannamei boone is improved, and the possibility of the disease outbreak and prevalence of the penaeus vannamei boone is reduced; the shellfishes, aquatic plants, mangroves and seaweeds are put into the system, so the economic benefit of culturing is improved; the whole culturing process realizes the culturing production without using antibiotics, the green and environment-friendly effects of the produced penaeus vannamei boone are realized, the mouth feel is similar to the taste of wild shrimps, and the penaeus vannamei boone is popular in market.

The invention discloses a mangrove recognition method and system. The mangrove recognition method comprises the steps of reading a remote sensing image to be recognized, processing the remote sensing image to be recognized by adopting a pseudo color synthesis technology so acquire a corresponding pseudo color image; performing object-oriented multi-scale adaptive segmentation on the pseudo color image based on a super-pixel algorithm so as to acquire a plurality of pseudo color sub-images; performing calculation on attribute parameters for each pseudo color sub-image, and generating corresponding to-be-recognized files carrying vector information; performing mangrove recognition on each to-be-recognized file by applying a comprehensive feature based mangrove recognition algorithm, and acquiring a mangrove area in the remote sensing image to be recognized. According to the invention, adaptive segmentation is performed on the remote sensing image to be recognized by adopting the super-pixel algorithm, pixels in the remote sensing image are grouped by using the feature similarity between the pixels, and the complexity of subsequent image processing tasks is reduced, so that the mangrove recognition efficiency is improved.

The invention discloses a remote sensing image mangrove forest extraction method and system based on a deep convolutional neural network, and the method comprises the steps: firstly carrying out the preprocessing of a high-resolution remote sensing image, including the atmospheric correction and research region cutting of the remote sensing image, and carrying out the waveband operation of each waveband after processing, so as to extract the priori feature information; achieving multi-band and feature information fusion by applying multi-source data fusion, and constructing a data set; training and verifying a semantic classification model ME-net built by a convolutional neural network; calling an ME-net model to realize automatic classification of the mangrove forest, and outputting a mask file in a png format, namely a classification and extraction result; and performing fine adjustment on the classification result through a long-distance conditional random field. In application of the classification model, the classification precision can reach 92.3% by expanding a data set, artificial visual interpretation can be completely replaced, and auxiliary technical support is providedfor updating of a high-precision image map and protection of a coastal region ecosystem.

The invention discloses a physical prevention and control method for treating sphaeroma hazard on a mangrove forest by using an isolation principle. The method comprises the following specific steps: selecting proper mangrove forest plants damaged by the sphaeroma; clearing roots of the plants to expose damaged portions of roots as much as possible; wrapping the plants to the upper edges of the damaged portions by using plastic films; tightly binding the upper portions with binding ropes or adhesive tapes, and covering the lower portions with sludge for sealing. By wrapping the moderately or slightly-damaged portions of plants with the plastic films, contact of the sphaeroma in decayed cavities of the damaged portions with an outer water body is reduced or isolated, and the supply of foods and oxygen to the sphaeroma in the wrapped portions is reduced, thereby trapping the sphaeroma in the decayed cavities till death, reducing damages to forests, reducing the quantity of the sphaeroma in a mangrove forest region damaged by insects, and achieving the effects of protection and prevention.

The invention relates to a mangrove plant northward movement and domestication method. The method sequentially includes the following steps of firstly, collecting mangrove plant hypocotyls good in development, soaking the hypocotyls in local seawater, and transporting the hypocotyls to a planting land as soon as possible; secondly, inserting and planting the mangrove plant hypocotyls in the planting land; finally, constructing a greenhouse in the planting land before winter to ensure that tidewater can normally rise and fall in the greenhouse, and conducting high-temperature and low-temperature alternating domestication culture on the mangrove plant hypocotyls inserted and planted in the planting land. By means of the method, autumn eggplant seedlings can be domesticated under the naturalconditions, the environment temperature is continuously adjusted through the greenhouse in the seedling breeding process in winter, on one hand, the autumn eggplant seedlings are protected against theinfluences of extreme weathers, and on the other hand, the seedlings slowly adapt to the cold weather, and the adaptability to low temperature of the seedlings is improved; the seedlings are domesticated on the aspects of environment temperature, seawater salinity and soil texture, the survival rate of mangrove plants in high-latitude regions is increased, and mangrove forests can grow in high-latitude regions from 28 degrees northern latitude to 31 degrees northern latitude.

A health-care preserved mangrove raspberry fruit for removing free radicals from human body, delaying sanility and preventing and treating cancers is prepared through collecting mangrove raspberry fruits, quick freezing, deactivating enzyme, vacuum preserving in sugar, water washing, vacuum drying, treating with isolating agent, baking, examining and packing.

The invention discloses a bird identification method based on deep learning. Two stages of training frame are establishes. In the first stage, a deep network trained on a large scale data set is usedfor training a CUB-200-2011 bird dataset to obtain a fine tuning model for the bird dataset; and in the second stage, the model of the first stage is subjected to fine tuning on a self-built mangroveforest coastal wetland dataset, a classification model for the specific birds of the mangrove forest coastal wetland is obtained, and the classification model is used for realizing bird identificationbased on deep learning. By use of the method, the bird identification based on the deep learning can be realized, and the problems of low speed and excessively low accuracy when bird images are classified and identified by an existing machine learning method are solved.

The invention discloses a forestation method for a mangrove forest in a sandy breeding pond with high salinity. The forestation method comprises the steps of: firstly dismantling circle water gates and circle levees in the regions of the breeding pond, and enabling original separated strip-shaped and block-shaped fish pond waters to be communicated so as to form an unimpeded open water body; then through earth work measures, forming block-shaped and island-shaped beach faces with continuous elevation gradient changes in the breeding pond, so that the beach faces achieve the water depth conditions desired by the growth of the mangrove forest, and create environment suitable for the growth of the mangrove forest; constructing waterway tidal creeks during construction process in the middles of the beach faces; after forming the beach faces suitable for the growth of the mangrove forest through engineering measures, planting mangrove plants on the beach faces in an artificial planting manner; and selecting and planting the mangrove plants with extremely high salt resistance, and backfilling muddy soil to planting holes.

The invention discloses a mangrove extraction method and system based on remote sensing images. The method comprises the following steps: acquiring remote sensing images of an area to be studied; using remote sensing images to identify the water area of the area to be studied; taking the edge of each water body region as the starting point to extend a certain distance to the outside of each waterbody region, and determining the water-land boundary region; obtaining the pseudocolor image of a land-water interface by pseudocolor synthesis technology; segmenting the false color image according to pixel similarity to obtain a plurality of segmented images; dividing the vegetation types and the non-vegetation types into several segmented regions, and removing the regions belonging to the non-vegetation types to obtain a plurality of vegetation region images; based on the texture and topological features of mangroves, classifying the mangrove images into mangrove images and non-mangrove images. The method and the system of the invention can improve the accuracy of mangrove spatial extraction.

The invention discloses a method for planting a mangrove forest by fresh water. The method comprises the following steps of seedling raising land choosing, nutrition bag seedling raising, seedling lifting and seeding carrying, large seedling cultivating and garden leaving of large seedlings. The method for planting the mangrove forest by the fresh water can overcome the defect that large limitations exist when mangrove plants are planted in a fresh water area, surviving of the mangrove plants is guaranteed, and a satisfying planting effect can be achieved.

The invention belongs to the technical field of monitoring systems, and discloses an air-ground integrated mangrove forest monitoring system and a control method, and the method comprises the steps: obtaining a high-resolution aerial image of a statistical target region through an unmanned plane or other aerial photographing means, and analyzing the structural distribution of a mangrove forest; carrying out meteorological and hydrological detection on the located region by collecting hydrological and meteorological environment factors; according to the data detected in the step 1, opening an image for processing by using high-resolution image crown extraction software, and comparing the image with an original image to determine the number of mangrove forests; estimating the mangrove forestpest situation according to the data detected in the step 1 in combination with the image spectrum and the texture features; and performing variety statistics on wild animals in the mangrove forest in a single area by utilizing a statistical system sampling principle, and evaluating the action variety in the whole mangrove forest according to the variety number of the detected animals to obtain the animal variety. The mangrove forest is monitored and information is transmitted by adopting a remote sensing information technology, so that the monitoring quality and efficiency are improved.

This invention provides a strain for producing 2, 3-butanediol, and its application as anti-UV and anti-oxidation agent in cosmetics. The strain with strong UV tolerance is separated from mangrove, and can produce 2, 3-butanediol. The strain has such advantages as wide nutrition range, short culture period, low cost and high yield. 2, 3-butanediol has good anti-UV and anti-oxidation effects, and can eliminate active oxygen free radicals and block lipid peroxidation, thus can be used as anti-UV and anti-oxidation agent in cosmetics.

The invention relates to the technical field of medicine, in particular to a compound (3R)- des-O-methyllasiodiplodin obtained by extracting and separating from Cerbera in Chinese Mangrove, its derivatives and preparation method and use. The (3R)- des-O-methyllasiodiplodin and its derivatives has the following formula, if R1 and R2 are all hydrogen, the formula represents (3R)- des-O-methyllasiodiplodin. It is shown by the external detection that the compound and its derivatives have obvious steapsase inhibition activity, thus the compound and its derivatives can be used for preparing a medicament for preventing or treating the metabolic imbalance diseases such as obesity, diabetes, hyperlipidemia, fatty liver and the like. The invention also provides a lead compound for developing a new medicament for preventing or treating the metabolic imbalance diseases, thus the invention has important meaning for developing and using Chinese marine biological resources.

The invention discloses a method for detecting submerged mangrove forest distribution in high tide by facing an object classification method and based on a remote sensing satellite image and relates to a method of utilizing remote sensing technology to detect mangrove forests below a water surface in the high tide. The method solves the problem that existing remote sensing technology can not accurately detect and obtain the distribution of the mangrove forests submerged below the water surface in the high tide. The method comprises the following steps of utilizing a land resource satellite to obtain a Landsat TM image, and obtaining the Landsat TM image after rectification; conducting multi-scale segmentation on the image after rectification, obtaining a series of segmentation units, and confirming segmentation units of a mangrove forest object and segmentation units of a pure water body object; obtaining spectrum response curve graphs of the mangrove forest object and the pure water body object; building a mangrove forest index; according to the mangrove forest index MVI, judging the Landsat TM image after rectification in the step one to distinguish the mangrove forest object and the pure water body object; and extracting the submerged mangrove forest object, and obtaining distribution information of the submerged mangrove forest object. The method can be widely applied to judgment of the mangrove forest distribution situation in the high tide.

The invention relates to a method for remediating uranium contaminated water with an imprinted fungal material having high affinity and high recognition capability to uranyl ions. An uranium ion imprinted material is prepared by means of the sol-gel technique from a typical facultative marine mangrove endophytic fungus Fusarium sp.#ZZF51 as a matrix, phytic acid as a functional monomer, UO2<2+> as a template ion, and tetraethoxysilane (TEOS) as a cross-linking agent; then, the obtained material is thrown in uranium contaminated water to remediate the uranium contaminated water; and after a period of time, the material is retrieved and subjected to centralized treatment. The material proposed provided by the invention has high affinity and high recognition capability to uranyl ions, and may lead to a removal rate of uranyl ions of 90% or above 50-70 min later after being thrown in water. The imprinted fungal material is in the form of spherical granules, and is low in cost, high in remediation efficiency, environmentally friendly without secondary pollution, and relatively simple and convenient in retrieval and centralized treatment.

The invention provides a mangrove forest water environmental health condition evaluation method based on biological indicators. The method comprises the steps that the biological indicators are determined, wherein the biological indicators obviously responding to the water environment changes of a mangrove forest are selected out according to the actual condition of the mangrove forest; an ideal reference point is selected, wherein a mangrove forest area free of human activity interference or damaged to the lowest limit is selected as the ideal reference point; the indicators are calculated and evaluated, wherein the values of the biological indicators of the mangrove forest to be evaluated and the ideal reference point are measured, and the specific value I and the deviation degree b are calculated and evaluated according to the values; evaluation is carried out, wherein the water environment health condition of the mangrove forest to be evaluated is evaluated according to the evaluation specific value I and the deviation degree b. According to the mangrove forest environmental health condition evaluation method based on the biological indicators, the water environment health condition of the mangrove forest can be objectively and accurately evaluated and predicted, and the operation process is simple.

The invention relates to the field of the forestry, and discloses a method for controlling spartina alterniflora. The method comprises the steps of (1) root overturning, wherein the overground parts of the spartina alterniflora are cut off, stubbles with the heights of 3-8 centimeters are reserved, and the overground parts of the spartina alterniflora are overturned and buried in silt; (2) planting of a mangrove forest, wherein nursery stocks of the mangrove forest are planted in an area after root overturning in the density greater than or equal to 1000 plants per mu. The method for controlling the spartina alterniflora has the advantages that through the synergistic effect of a specific root overturning technology and a super-high density afforestation mode, the regeneration of the spartina alterniflora can be effectively inhibited; the spartina alterniflora is controlled by adopting the mode provided by the method, and an indigenous plant mangrove is utilized to replace the spartina alterniflora, so no ecological risk exists, and the problem of the biggest defect, namely, re-invasion of the spartina alterniflora of an existing spartina alterniflora prevention and control technology is completely eradicated.

The invention discloses a forestation technology using mangrove forest plant to convert a pond to forestry. The method comprises the steps of building planting ridges and water channels in a waste pond, arranging a water gate, controlling water in the water channels to communicate with outside by a gate in the water gate, wherein multiple planting ridges can be arranged according to the size of the pond; opening the gate of the water gate to enable water in the pond to change along with external water, and determining the high water mark in the pond, wherein the heights of the planting ridges are selected to be lower than the high water mark by 10cm, the bottom areas of the planting ridges are larger than the opening areas and vertical section shapes of the planting ridges are a trapezoid with a narrow upper part and a wide lower part; planting tree seeds into the planting ridges, encircling the planting ridges with a gauze element of about 20 meshes, opening the gate to communicate water in the pond with an outside water body and enable the water in the pond to change along with the tide change of the outside water body, inspecting in each month and timely replacing dead individuals. The method has the beneficial effect the tree seed survival rate of the mangrove forest is high by turning the pond to forestry.

The present invention relates to construction of macro genomic library, and is especially one fast and efficient process of constructing macro genomic library of mangrove forest edaphic community. The process includes the steps of selecting strain, cloning carrier and culture medium; extracting mangrove forest edaphic eDNA; processing mangrove forest edaphic eDNA; filling the ends of mangrove forest edaphic eDNA; connecting the end filling object to the carrier; outer packing; measuring the potency of the packed product; verifying the inserted segment of the cloning vector; and preserving positive cloning vector.

The invention relates to a special bacterial manure microcapsule preparation for mangrove. The preparation is characterized in that: s: 1) the preparation consists of a degradable micro-granular capsule with azotobacter and phosphate-dissolving bacteria for promoting growth of mangrove; 2) bacterial seeds of the azotobacter for promoting growth of mangrove is cultivated by an OAB culture medium; bacterial seeds of the phosphate-dissolving bacteria for promoting growth of mangrove is cultivated by a phosphate-dissolving bacteria selective culture medium SRSM; and 3) the degradable micro-granular capsule is prepared from stock solution of a wall material, stock solution of a core material, a hardener and a solidifying liquid. The preparation method is characterized by comprising the following steps: 1) the zotobacter and the phosphate-dissolving bacteria for promoting growth of mangrove are collected, sifted and cultured; 2) the microcapsule preparation is prepared; and 3) the bacterial manure microcapsule preparation is stored. The structure of special equipment has the characteristics that the special equipment comprises an air compressor (1), an air filter (2), a bacteria filter (3), a granule spraygun (4), a glue solution bottle (5), a vibrator (7) and a filter (8). The bacterial manure microcapsule preparation has the advantages of simple process, convenient operation, stable product quality, long shelf life and convenient storage and transportation.

An artificial mangrove assembly, including: a mounting assembly for attachment to a surface at least partially submerged in a body of water; and respective pluralities of first and second root elements. Each first root element is fixedly secured to the mounting assembly at a respective first connection point, extends downward in a first direction from the respective first connection point, and includes a respective first distal end arranged to contact a bottom of the body of water. Each second root element is fixedly secured to a respective first root element at a respective second connection point and includes: a respective first portion extending downward in the first direction with respect to the respective second connection point; a respective second portion extending outward with respect to the respective second connection point in the second direction; and a respective second distal end arranged to contact the bottom of the body of water.

The invention relates to a novel staurosporine analogue and a preparation method and applications thereof, wherein two staurosporine analogue molecules with a novel structure is prepared from the Streptomyces Sp.FMA which is separated from the soil sample of the Sanya Mangrove in Hainan Island of China and has the strain preservation number of CCTCC M 2010021. The in vitro cytotoxicity test proves that the compound has cytotoxicity to leukemia cell HL-60 and lung cancer cell A549 and can be used as the cell antiblastic.

The present invention relates to a fermenting method for enriching biomass of Thraustochytrium genus microalgae, specifically Schizochytrium sp. or Schizochytrium mangrovei, with docosahexaenoic acid (or DHA), by controlled addition of oxygen.

The invention discloses a mangrove forest remote sensing rapid and accurate extraction method based on a cloud platform, and relates to the field of mangrove forest distribution diagram manufacturing, and the method comprises the steps: firstly, screening Sentinel-2 images with good quality through a Google EarthEngine cloud platform, and forming an image set; calculating a vegetation index NDVI of each image in the image set to obtain an NDVI image in space; forming a low-tide image formed by the maximum NDVI pixels; erasing an area without vegetation by using a mask function; utilizing an MFVI index to identify mangrove forest space distribution information; and erasing a non-mangrove forest region by using a mask function to obtain a spatial distribution diagram of the mangrove forest. According to the method, the difficulty of mangrove forest remote sensing interpretation caused by periodic tidal water submerging is overcome, and the problems that the submerged mangrove forest is missed to be painted and inland vegetation is wrongly divided into mangrove forests are solved. The mangrove forest interpretation method is fast and effective, improves the precision and credibility of mangrove forest interpretation, and has repeatability and robustness.

The invention belongs to the technical field of plant growth-promoting bacteria and particularly relates to a heavy metal-resistant plant growth-promoting strain and an application thereof. The heavymetal-resistant plant growth-promoting strain BHG-02, which is Acinetobactersoli according to the taxonomic nomenclature, is collected in China Center for Type Culture Collection on October 13, 2014 under the CCTCC NO: M2014471. The heavy metal-resistant plant growth-promoting strain BHG-02, which is obtained from soil of the Jinwan Mangrove Nature Reserve, Beihai, Guangxi Zhuang Autonomous Regionby screening and separating, can secrete organic acids as well as dissolve and utilize calcium phosphate in a culture medium, has ACC deaminase activity, growth hormone IAA and urease activity, and is capable of dissolving heavy metals in soil, relieving heavy metal stress on plants and improving soil nutrients so as to promote plant growth.

The invention discloses a bacillus HB12274 and an application thereof to the scagassum biodegradation, and belongs to the technical field of microorganisms. The bacillus is bacillus amyloliquefaciens subsp.plantarum HB12274 and is separated from a bottom sediment sample of Mangrove at Dongzhai Harbor in Hainan. The strain is collected in China General Microbiological Culture Collection Center (CGMCC) in May 16, 2016 and has a collection number of CGMCC No.12455. The bacillus HB12274 has the activity of degrading algin, cellulose and starch, and can effectively degrade scagassum. The bacillus HB12274 and a fermentation liquor thereof can serve as new microbial resources used for the scagassum biodegradation, and have good application and development prospects in the aspects of scagassum processing and utilization.