105 results about "Primary productivity" patented technology

The invention discloses a method for remote sensing estimation of net primary productivity of plants. The method comprises the steps of performing data pre-processing on remote sensing data; extracting LAI data of an MODIS product in the remote sensing data, and calculating an FPAR; calculating astronomical radiation total Q0 according to geographical location information of a research area including longitude and latitude and date; extracting an empirical coefficient according to conventional global radiation and sunshine percentage data of the research area; using Q0 and the empirical coefficient to calculate solar total radiation quantity SOL; calculating photosynthetically active radiation (APAR) according to the FPAR and the SOL; extracting soil water content and an empirical parameter in the remote sensing data, calculating current leaf water potential, and calculating water stress factor in combination with the previous empirical coefficient; extracting temperature data in the research area in meteorological data, calculating temperature stress factor f1(Ta); calculating solar energy utilization rate epsilon according to f1(Ta), and the maximum solar energy utilization rate; and calculating net primary productivity (NPP) according to the APAR and epsilon. The method has the advantages of being high in estimation precision.

The invention discloses a multifunctional artificial fish reef, and aims to provide an artificial reef which is beneficial to formation of different flow field environments with upwelling, can raise nutrient substances deposited at the seabed, can improve the primary sea field productivity near the artificial reef and can provide sufficient feed to fishes. The multifunctional artificial fish reef comprises a reef body, an inner reef cavity and a plurality of inlets and outlets, wherein the inner reef cavity is arranged inside the reef body; the plurality of inlets and outlets are formed in the side surface of the reef body and are communicated with the inner reef cavity; the outer side surface of the reef body extends downwards from top to bottom towards the outer side of the reef body in an inclined manner; a partitioning plate which extends upwards and downwards is arranged inside the inner reef cavity.

The invention discloses a forage grass planting method for a rocky desert area. According to characteristics of the rocky desert area, through land rocky desertification grade classification, forage grass selection, land preparation, forage grass seed selection, seed processing, sowing time selection, sowing amount selection, sowing mode selection, post-sowing compression and a field management technology, scientific forage grass planting is achieved, high-yield forage grass planting is obtained, economic benefits are remarkable, the environment is greatly improved, the water and soil are preserved, the rock desertification environment is improved, the primary productivity of land can be maintained and effectively improved, the yields of forestry and animal husbandry are increased, and the income of farmers is increased; meanwhile, soil carbon sink can be effectively increased, and the environment quality is improved.

The invention provides an artificial upflow floating type aquatic organism resource breeding reef, comprising a floater (1), a check valve (2), an upflow pipe (3) and a counter weight (4). The artificial upflow floating type aquatic organism resource breeding reef is characterized in that the floater (1) is arranged above the upflow pipe (3), the check valve (2) is arranged in the upflow pipe (3), the counter weight (4) is arranged below the upflow pipe (3), and the floater (1) is connected with a fixing anchor (6) through an anchor-tied mooring rope (5). The fabrication method of the invention comprises the following steps of: manufacturing molds of all parts, carrying out casting forming or other processing forming, and assembling. The invention has the advantages of simple structure, scientific design, low cost, higher practicability and convenience, economy, and suitability to wide popularization, and the artificial upflow floating type aquatic organism resource breeding reef can effectively utilize wave energy to form an artificial upflow field so as to suck deep nutritive salt in a placed water area to water body on a surface layer, thereby improving primary productivity and blooming aquatic organisms.

A multifunctional artificial fish reef is composed of a fish reef body, a buoy, a cable, a wire and a gas-guide tube, wherein the cable, the wire and the gas-guide tube are connected with the fish reef body and the buoy.The multifunctional artificial fish reef not only can provide a reproduction and forage place for fishes, but also can introduce air above the sea surface into the seabed by utilizing wave energy, water and gas exchange in the fish reef sea area is promoted, needed oxygen is provided for shellfishes and sea cucumbers and the like, and the blocking in the fish reef using process can be effectively avoided.Ocean current drives impellers to rotate, the distribution of a flow field in the sea area can be changed, bottom layer nutrient substances are driven to perform exchange with the upper layer water body, nutrient is provided for reproduction and growth of planktons and the like in the upper layer water body, a good marine organism habitat is created, and primary productivity in the surrounding water area is greatly improved.A solar panel on the buoy can convert solar energy into electric energy to supply power to LEDs on the reef body, and thus the goal of attracting phototactic fishes is achieved.Staggered separating tables in the reef body increase the adhering area of the artificial fish reef, and the number of organisms in the sea area is increased.

The invention discloses a method for building a vegetation net primary production (NPP) estimation model through machine learning based on a multi-source remote sensing product. According to the method, for analysis characteristics of massive data products, it is proposed that a global vegetation NPP estimation model is simulated and built by adopting the machine learning method, and the importance of related characteristic products in vegetation NPP estimation is calculated based on the model. The method mainly comprises four steps of (1) collecting NPP spatial observation products and spatial observation products of NPP related variables; (2) performing data normalization processing; (3) training the NPP estimation model; and (4) assessing the importance of each factor in the NPP estimation model. The method provides a new idea for performing vegetation NPP estimation by utilizing multi-spatial observation data.

The invention discloses a remote sensing estimation method and system of crop gross primary productivity. The remote sensing estimation method of the crop gross primary productivity is mainly used for wheat and corns, compared with an existing method, through theoretical analysis and experimental measurement and application, multi-source remote sensing data are fully utilized, depending on a solar energy utilization efficiency model, the environmental elements of solar energy, thermal energy, water and nutrients on crop growth are fully considered, a maximum solar energy utilization efficiency coefficient is introduced, and a crop gross primary productivity remote sensing model based on the four environmental elements of solar energy, thermal energy, water and fertilizer is established. Compared with a traditional solar energy utilization efficiency model, the influence of multiple environmental elements on the crop gross primary productivity is comprehensively considered, the remote sensing data are applied to the largest extent, model estimation results are high in precision, and meanwhile the crop gross primary productivity aiming at one application demonstration area can be estimated by an estimation model system.

The invention provides a test system for determining the primary productivity of river benthic algae. The test system at least comprises a sample unit, a measure unit and a control unit, wherein the sample unit is a photobioreactor, and comprises a glass cover, a rotatable pedestal, a benthic alga growth matrix, a water circulation device and a gas discharge tube; the glass cover and the rotatable pedestal are manufactured through processing organic glass, the glass cover is a semi-spherical housing with a downward opening, the lower end of the glass cover is in rotary seal connection with the rotatable pedestal through screw threads, the benthic alga growth matrix is arranged between the glass cover and the rotatable pedestal, and a water sample is arranged between the glass cover and the benthic alga growth matrix; the measure unit is a dissolved oxygen sensor, the probe of the dissolved oxygen sensor is arranged in the water sample in the glass cover; and the control unit comprises a control panel, and a one-chip microcomputer and a power supply arranged in the control panel, and the one-chip microcomputer is connected with the dissolved oxygen sensor. Compared with traditional systems, the system of the invention has the advantages of high automation degree and working efficiency improvement.

The invention discloses a grassland above-ground biomass retrievalinversion method based on high-time resolution and high-spatial resolution multispectral remote sensing data. The method comprises thefollowing specific steps: 1) selecting multispectral remote sensing data covering the a grassland growing season, calculating thean NDVI (Normalized Difference Vegetation Index), and synthesizing toobtain the monthly maximum NDVI covering the a research area; 2) interpolating according to the monthly mean temperature, the monthly total precipitation and the monthly total solar radiation data ofa meteorological station, to generate the monthly mean temperature, the monthly total precipitation and the monthly total solar radiation data covering the research area; 3) calculating the NPP (Net Primary Productivity) of the grassland by using a CASA (Carnegie-Ames-Stanford Approach) model based on the LUE (Light Use Efficiency) theory; 4) calculating the above-ground biomass of the grassland according to the NPP and the ratio of the above-ground biomass to the underground biomass.

The invention relates to a winter wheat yield estimation method based on short-period remote sensing area data. Compared with the prior art, the winter wheat yield estimation method overcomes the defect that winter wheat yield prediction based on high temporal and spatial resolution NPP data does not exist. The method comprises the following steps: obtaining environmental satellite remote sensingdata and meteorological data; preprocessing the environmental satellite remote sensing data and the meteorological data; estimatingthe net primary productivity NPP of the winter wheat; and obtaining awinter wheat yield prediction result. By utilizing an improved CASA model, high-temporal-spatial-resolution winter wheat NPP spatial distribution information with 5 days as intervals is estimated, and an NPP-yield transformation model is combined so that remote sensing estimation of winter wheat yield is achieved.

The invention discloses establishment and application of a desertization dynamic simulation model. The method includes the steps of selecting weather, soil moisture, population, economy, animal husbandry and land utilization as driving factors of simulating dynamic evolution of region desertization, using vegetation net primary productivity (NPP) as a generality index of measuring desertization change and different driving force action; collecting data of each driving factor and performing rasterization on data of each driving factor; quantifying influence of weather and soil moisture on vegetation NPP, quantifying influence of economy and population on vegetation NPP, quantifying influence of grazing on vegetation NPP, and quantifying influence of land utilization on vegetation NPP; and summarizing data after the influence of the driving factors on vegetation NPP is quantified, calculating the value of actual NPP of the same year, and classifying desertization grades in the region according to NPP ranges corresponding to different desertization grades. Action characteristics of various driving force in different scenes in the future can be reflected, and the requirements for regional desertization dynamic simulation and policy regulation are met.

The invention relates to a method for measuring and calculating an area of a mangrove plant kandelia candel leaf, which belongs to the technical field of coastal mangrove forest wetland ecosystem protection and primary productivity evaluation. The method comprises the steps of: firstly picking kandelia candel leaves with a given quantity, the same size and normal shapes as well as statistical significance, and measuring data of each leaf such as an area, a maximal length and a maximal width by utilizing a leaf area scanner; implementing the regression analysis through a nonlinear equation of Y=aX1b1X2ba, and determining the regression coefficients a, b1 and b2; obtaining an equation capable of measuring the area of the kandelia candel leaf: A=aLb1Wb2; and measuring the maximal length and the maximal width of a kandelia candel leaf on site, and respectively putting the measured maximal length and maximal width into the equation to obtain the area of the kandelia candel leaf to be measured and calculated. The invention provides a simple, easy and precise method for measuring and calculating the kandelia candel leaf, so that a more convenient technology and a method for supporting the evaluation on the primary productivity of the mangrove forest ecosystem are provided.

The invention relates to a remote-sensing inversion method for primary productivity of Shenzhen marine sites. The method comprises that Landsat TM remote-sensing image data is input; normalized difference vegetation index (NDVI) data of the Shenzhen marine sites is calculated; the NDVI data is compressed linearly to obtain NDVI'; a gradient value nablag of the obtained NDVI' data is calculated; interpolation control points are laid in the four main Shenzhen marine sites randomly and serve as common control points; a pixel of a higher nablag value is selected from the four main Shenzhen marine sites and serves as a processing object deltap, and interpolation control points are laid in the deltap randomly and serve as texture control points; inverse-distance weighted interpolation operation is carried out on data in MODIS/AQUA; photoperiod data of the Shenzhen sites in the present day is inversed, and inverse-distance weighted interpolation operation is carried out; and an OVGPM model is used to obtain a remote-sensing inversion result of the primary productivity of the Shenzhen oscean sites by calculation. The invention also relates to a remote-sensing inversion system for the primary productivity of the Shenzhen marine sites. Thus, the primary productivity of the Shenzhen marine sites can be inversed in a more accurate, simpler and rapider way.

The invention relates to an upwelling artificial fish reef. The upwelling artificial fish reef includes an upper fish reef body, a lower fish reef body, support columns and a base. The upwelling artificial fish reef can provide a necessary safe habitat for gathering, feeding, reproduction, growth and enemy avoiding of aquatic organisms such as fishes, can generate upward flow, can change distribution of an internal flow field in the sea area, can drive exchange between bottom nutriment salt materials and upper water, can provide nutriments for reproduction and growth of plankton in the upper water, can establish a good marine organism habitat environment, can enhance the reproduction ability of the plankton, can form an excellent bait field, can attract migration fish to gather and stop, and can achieve a better fish gathering effect. The Upwelling artificial fish reef can effectively prevent blocking of the fish reef in use; sea current flows through the lower fish reef body to generate the upward flow to drive sea water in a cavity of the upper fish reef body to flow so as to remove sand in the cavity of the upper fish reef body, the survival reproduction space of aquatic organism such as fishes can be ensured, and the primary productivity of a near sea area can be greatly improved.

The embodiment of the invention provides an ecological environment quality evaluation method and device, and belongs to the technical field of ecological environments. The method comprises the following steps: calculating vegetation net primary productivity, vegetation coverage and geographic distribution based on remote sensing information; calculating potential vegetation net primary productivity, potential vegetation coverage and potential geographic distribution based on meteorological conditions;calculating actual and potential vegetation ecological quality of vegetation net primary productivity, vegetation coverage and geographic distribution based on remote sensing information and meteorological conditions; calculating the actual vegetation ecological quality variation based on theremote sensing information and the potential vegetation ecological quality variation only considering the meteorological condition change influence; and calculating a meteorological contribution rateand a human factor contribution rate of the vegetation ecological quality change. According to the embodiment, the ecological civilization construction performance of nationwide scale, provincial scale, county scale and any evaluation area in different time periods can be evaluated, and meteorological condition contribution rate evaluation and thematic map manufacturing of the ecological civilization construction performance can be carried out.

The invention discloses a primary productivity fluorescence detecting system of a seat-base type coral reef. The system sends out a pulse laser source to the coral reef, receives fluorescence generated by the coral reef and calculates the primary productivity of the coral reef according to the strength of the laser source and the fluorescence signal data. The system comprises a detector and a labcontrol system, wherein the detector comprises a fluorescence excitation device, a fluorescence collecting device and a maritime control device; the fluorescence excitation device sends out the pulselaser source to the coral reef for excitation and fluorescence generation; the fluorescence collecting device collects fluorescence signals generated by the coral reef in real time; and the maritime control device controls the switching and the fluorescence excitation frequency of the fluorescence excitation device and the switching and the fluorescence collecting frequency of the fluorescence collecting device and transmits the collected fluorescence signal data to the lab control system which collects, corrects, calculates and manages the fluorescence data. The invention can effectively improve the detection efficiency and is convenient and rapid to detect.

The invention relates to a model method for calculating the fixed carbon content of ocean ultra-miniature phytoplankton. The method comprises the following steps: respectively testing abundance of synechococcus and ultra-miniature eukaryotic algae in an acquired sample; respectively calculating the carbon biomass and growth velocity of the synechococcus and the ultra-miniature eukaryotic algae so as to obtain the euphotic layer depth of sampling points of the synechococcus and the ultra-miniature eukaryotic algae; respectively calculating responses of the synechococcus and the ultra-miniature eukaryotic algae to surface light intensity on the basis of water depth variation; respectively calculating primary productivity of the synechococcus and the ultra-miniature eukaryotic algae so as to obtain primary productivity of ultra-miniature phytoplankton at the sampling points. By adopting the method, the fixed carbon content of ultra-miniature phytoplankton in offshore, shelf sea and high-latitude open ocean (the latitude of which is greater than 40 degrees) can be calculated, compared with a method for determining the primary productivity of ultra-miniature phytoplankton on the basis of 14C in situ, the method saves time and labor, and can be used for estimating the primary conductivity of ultra-miniature phytoplankton in a relatively large research area. Tests show that the primary conductivity calculated by using the method has relatively good linear relationship with that of ultra-miniature phytoplankton tested on the basis of 14C, good estimation reliability is achieved, and a theoretic basis is provided for later practical study.

The invention discloses a measuring device and a measuring method for in-situ quick determination of primary productivity of lakes. The measuring device comprises a transmitting bottle, a shading bottle, a first bottle cap, a second bottle cap, a first dissolved oxygen sensor and a second dissolved oxygen sensor. The transmitting bottle is provided with a first opening, and the shading bottle is provided with a second opening. The first bottle cap is movably arranged on the transmitting bottle between a first opening position and a first closing position; the second bottle cap is movably arranged on the shading bottle between a second opening position and a second closing position. The first dissolved oxygen sensor is arranged on the transmitting bottle, and the second dissolved oxygen sensor is arranged on the shading bottle. The measuring device for in-situ quick determination of the primary productivity of the lakes has the advantages of short exposure time, high measuring accuracy, short measuring period, capability of achieving in-situ real-time observation and the like.

The invention discloses a spatial autocorrelation region-based spatial-temporal difference detection method for vegetation net primary productivity. . The method comprises the following steps: S1, obtaining MOD17A3 data of research years of a research area; S2, extracting a vegetation NPP graph of a research time period of the research area; S3, calculating the vegetation NPP variable quantity inthe research time period of the research area; S4, calculating a global Moran index, a high/low value clustering index and related statistics of the vegetation NPP in the research period of the research area; S5, judging the overall clustering characteristics of the research area data samples; S6, calculating a hot spot analysis index of the vegetation NPP in the research time period of the research area; S7, judging hot spot distribution characteristics of the vegetation NPP in the research time period of the research area; S8, calculating a local Moran index of annual vegetation NPP variation in the research period of the research area; S9, judging spatial aggregation characteristics of annual vegetation NPP variations in the research period of the research area. The overall clustering characteristics of the vegetation NPP can be accurately expressed, and the local spatial characteristics can be detected.

The invention provides a method and a system for evaluating the sustainable development of a nature reserve. Based on the Net Primary Productivity (NPP) data of each type of land in the target naturereserve, the equilibrium factors and yield factors of each type of land are determined respectively, which fully reflects the differences among different types of land and overcomes the problem of parameter elasticity insufficiency in the existing ecological footprint method. At the same time, the per capita ecological footprint and per capita ecological carrying capacity of the target nature reserve are calculated based on the improved equilibrium factor and yield factor, according to the per capita ecological footprint and per capita ecological carrying capacity, the method and system can accurately and quantitatively evaluate the sustainable development status of the target nature reserves, help to determine whether the intensity of human activities in nature reserves exceeds the ecological carrying capacity, provide scientific basis for the management and decision-making of nature reserves, and provide guidance for promoting the construction of ecological civilization.

The invention relates to a day-scale primary productivity estimation method based on instantaneous photosynthetic rate integration, and the method comprises the following steps of (1) calculation of instantaneous photosynthetic rate: establishing a cubic equation through a relationship formula among the coupled instantaneous photosynthetic rate, intercellular carbon dioxide (CO2) concentration and stomatal conductance, and calculating the instantaneous photosynthetic rate; (2) simulation of instantaneous weather data: simulating the instantaneous weather by utilizing a sinusoidal function through the characteristic that the temperature and radiation diurnal variation follows the sinusoidal variation principle; and (3) calculation of day-scale primary productivity integration: substituting the instantaneous photosynthetic rate solved in the step (1) in the simulated weather data to form a function adopting the time as a variable, utilizing a trapezoid or simpson formula to integrate the time, and acquiring the day-scale primary productivity. By utilizing the diurnal variation principle characteristics of the weather data and combining the instantaneous photosynthetic rate calculation formula, the measurement precision is high.

The invention discloses a remote sensing estimation method for net primary productivity of vegetation. The method comprises the steps of determining a photosynthetically active radiation ratio absorbed by vegetation according to a vegetation coverage index in remote sensing data; according to temperature data, rainfall and other data in the remote sensing data, determining the potential photosynthetic utilization rate of vegetation, the influence coefficient of air temperature on vegetation growth, the influence coefficient of atmospheric water vapor on plant growth and the influence coefficient of soil moisture loss on plant growth, and then determining the actual light energy utilization rate of the vegetation; then, after the maintenance respiration of the plant and the growth respiration of the plant are obtained, determining the autotrophic respiration of the plant; then, after photosynthetically active radiation in the remote sensing data is obtained, the net primary productivityof the vegetation can be determined and obtained in combination with the photosynthetically active radiation ratio absorbed by the vegetation, the actual light energy utilization rate of the vegetation and autotrophic respiration. The remote sensing estimation method for net primary productivity of vegetation has the characteristics of high estimation precision and high estimation efficiency.

The invention discloses a marine ranch developing pattern, and belongs to the technical field of facility culturing engineering. A fine culturing region is included, a photovoltaic generator unit anda wind power generator unit are arranged on shores of the two sides of the fine culturing region, a pile-type enclosing net is arranged in the outer circumference of the fine culturing region, a raft-type culturing group is arranged on the left side of the fine culturing region, and an artificial fish reef group is arranged on the right side of the fine culturing region. According to the pattern,a complete power system, culturing system and management system are constructed, a marine ranch is divided into two regions, a stocking pattern on land is achieved, and the arranged fish reef group can provide a sheltering place for fish to help to improve water body fertility and primary productivity level.