Arid
DOI10.1016/j.agrformet.2020.108017
Representativeness of global climate and vegetation by carbon-monitoring networks; implications for estimates of gross and net primary productivity at biome and global levels
Alton, Paul B.
通讯作者Alton, PB
来源期刊AGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
EISSN1873-2240
出版年2020
卷号290
英文摘要One of the major uncertainties in estimating global Net Primary Productivity (NPP) and Gross Primary Productivity (GPP) is the ability of carbon-monitoring sites to represent the climate and canopy-density of global vegetation ("representativeness"). These sites are used for empirical upscaling and calibration of global landsurface models. The current study determines the representativeness of two important carbon-monitoring networks - FLUXNET2015 and the Ecosystem Model-Data Intercomparison (EMDI) - by calculating the euclidian distance in climate-canopy space between each global 0.5 degrees cell and all carbon-monitoring sites of the same biome or Plant Functional Type (PFT). Reliance on the single (most similar) site has been adopted in the past. A straightforward weighted upscaling, using inverse euclidian distance, identifies which PFTs contribute most to global primary productivity in the context of how well they are represented in carbon-monitoring networks. Some vegetation types, which are numerically well-represented within the network, are sampled at the 'wrong' latitude and in more temperate climes than their global distribution. This includes non-mediterranean needleleaf forest which is one of the main vegetation types contributing to global GPP and NPP. (Semi-)arid regions (mean annual precipitation < 400 mm yr(-1)) are undersampled as well as the sparse vegetation that tends to characterise them. These regions include the tundra and the northern half of the boreal forest where growth is disproportionately affected by climate change. We find a large spread in NPP and GPP recorded at sites of the same PFT (standard deviation is 56% mean). Consequently, our bootstrap error analysis indicates that a minimum of 50 climate-representative sites per PFT is required to quantify adequately (2% precision) the primary productivity of each global vegetation type. Selecting unchartered climate-canopy space for new sites appears to be more important than a simple increase in site numbers.
英文关键词Gross primary productivity (GPP) Net primary productivity (NPP) Representativeness MODIS Land-surface modelling Plant functional types
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000540172000014
WOS关键词LIGHT-USE EFFICIENCY ; AREA INDEX PRODUCTS ; TERRESTRIAL GROSS ; PHOTOSYNTHETIC CAPACITY ; ATMOSPHERE EXCHANGE ; ECOSYSTEM EXCHANGE ; CONSTANT FRACTION ; IGBP DISCOVER ; WATER FLUXES ; CO2
WOS类目Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/324734
作者单位[Alton, Paul B.] Swansea Univ, Geog Dept, Swansea SA2 8PP, W Glam, Wales
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Alton, Paul B.. Representativeness of global climate and vegetation by carbon-monitoring networks; implications for estimates of gross and net primary productivity at biome and global levels[J],2020,290.
APA Alton, Paul B..(2020).Representativeness of global climate and vegetation by carbon-monitoring networks; implications for estimates of gross and net primary productivity at biome and global levels.AGRICULTURAL AND FOREST METEOROLOGY,290.
MLA Alton, Paul B.."Representativeness of global climate and vegetation by carbon-monitoring networks; implications for estimates of gross and net primary productivity at biome and global levels".AGRICULTURAL AND FOREST METEOROLOGY 290(2020).
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