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NPP calculation method suitable for alpine grassland ecosystem

A calculation method and ecosystem technology, applied in the direction of calculation, computer-aided design, data processing applications, etc., can solve problems such as the inability to explain the maximum growth rate, and achieve the effect of clear model structure and reliable calculation results

Active Publication Date: 2021-01-22
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS +1
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Problems solved by technology

The original method often defines the ambient temperature when the NDVI is maximum as the optimum temperature, but the maximum NDVI can only represent the break-even point of the plant, and does not mean that it is the maximum growth rate at this time

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  • NPP calculation method suitable for alpine grassland ecosystem
  • NPP calculation method suitable for alpine grassland ecosystem
  • NPP calculation method suitable for alpine grassland ecosystem

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Embodiment Construction

[0051] Considering the time and space scales of the study area comprehensively, select appropriate remote sensing images and weather station data. The remote sensing image is projected, resampled, time series reconstructed and combined with the maximum value to convert it into a monthly dataset. Weather station data are spatially interpolated and resampled to monthly datasets of the same resolution. The processed meteorological data and remote sensing data are used to calculate land surface solar radiation, photosynthetically active radiation component, temperature stress, water stress, light energy utilization rate and autotrophic respiration, and then couple each sub-model together to solve the final NPP.

[0052] Sanjiangyuan is located in the south of Qinghai Province, in the hinterland of the Qinghai-Tibet Plateau, with an average altitude of more than 4,000 meters. It is the birthplace of the Yangtze River, the Yellow River, and the Lancang River. It has an important fun...

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Abstract

The invention belongs to the technical field of geology and ecology, and relates to an NPP calculation method suitable for an alpine grassland ecosystem. According to the method, the temperature sub-model is subjected to refitting, and the monthly average temperature in the daytime is solved through a sine function integration method so as to replace the temperature in the model. the NIRv is adopted to replace the NDVI, so that the optimal temperature in the temperature sub-model is solved. The maximum light energy utilization rate values of different grassland utilization types based on the GPP are reversely deduced according to the existing research. The invention is simple and practical, related data can be downloaded from related websites, and the net primary productivity of the grassland vegetation in the alpine region can be estimated more reliably with high speed and low cost.

Description

technical field [0001] The invention belongs to the technical field of geography and ecology, and relates to an NPP calculation method suitable for alpine grassland ecosystems, specifically obtaining MODIS images through remote sensing technology, obtaining temperature and precipitation data through weather station data, based on existing light energy Utilization efficiency model framework, optimize the temperature stress and maximum light energy utilization efficiency, and use it to estimate the net primary productivity of alpine grassland vegetation. Background technique [0002] Vegetation net primary productivity (Net primary productivity, NPP) refers to the amount of organic matter that green plants can accumulate per unit area and unit time, which is the total organic matter produced by photosynthesis (Gross primary productivity, GPP) minus autotrophic respiration respiration,R) after the remaining part. NPP is an important part of the land surface carbon cycle, the I...

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Application Information

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IPC IPC(8): G06F30/20G06Q50/26G06F111/10G06F119/08G06F119/12G06F119/14
CPCG06F30/20G06Q50/26G06F2111/10G06F2119/08G06F2119/12G06F2119/14Y02A90/10
Inventor 刘伟袁烨城李宝林王双高锡章高昂牟昱璇
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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