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Assessing the spatiotemporal dynamic of global grassland carbon use efficiency in response to climate change from 2000 to 2013
Institution:1. Department of Ecology, School of Life Science, Nanjing University, Nanjing, PR China;2. Institute of Soil and Water Conservation, CAS, Yangling, PR China;3. Department of Environmental Sciences, Faculty of Agricultural and Environment, The University of Sydney, Sydney, Australia;4. The Center for Global Change & Earth Observations, Michigan State University, East Lansing, USA;1. Rede BIONORTE, Programa de Pós-Graduação em Biodiversidade e Biotecnologia, Laboratório de Ecologia Vegetal, P.O. Box 08, Nova Xavantina, MT 78690-000, Brazil;2. Universidade do Estado de Mato Grosso, Programa de Pós-Graduação em Ecologia e Conservação, P.O. Box 08, Nova Xavantina, MT 78690-000, Brazil;3. Universidade Federal do Acre, Centro de Ciências Biológicas e da Natureza, P.O. Box 500, Rio Branco, AC 69920-900, Brazil;4. Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK;1. School of Nature Conservation, Beijing Forestry University, Beijing 100083, China;2. Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou 318000, China;1. Dipartimento di Biologia Ambientale, Università degli Studi Roma Tre, Viale G. Marconi, 446, 00146 Roma, Italy;2. Department of Applied and Environmental Biology, Rivers State University of Science and Technology, P.M.B. 5080, Port Harcourt, Rivers State, Nigeria;3. IDECC Institute for Development, Ecology, Conservation and Cooperation, via G. Tomasi di Lampedusa 33, I-00144 Rome, Italy;1. Laboratório de Ciências Ambientais, Centro de Biociências e Biotecnologia, UENF, Campos dos Goytacazes, RJ, 28013-602, Brazil;2. INPA, Coordenação de Dinâmica Ambiental, Núcleo de Pesquisas de Roraima, Boa Vista, Roraima, 69301-150, Brazil;3. School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3JN, UK;4. Royal Botanic Garden Edinburgh, Edinburgh, EH3 5LR, UK;5. EMBRAPA Roraima, Boa Vista, Roraima, 69301-970, Brazil;1. Department of Biogeography and Global Change (BGC-MNCN-CSIC), National Museum of Natural Sciences, CSIC, C/Serrano 155bis, E-28006 Madrid, Spain;2. Laboratorio Ecotono, INIBIOMA-CONICET, Universidad Nacional del Comahue, Black River, Argentina;3. Museu de Ciències Naturals de Granollers (MCNG), E-08402 Granollers, Barcelona, Spain;4. Department of Biology, Unit of Zoology, Faculty of Sciences, Universidad Autónoma de Madrid, C/Darwin 2, Campus Universitario de Cantoblanco, 28049 Madrid, Spain;1. Dept of Botany, Univ. of Brasília, Brasília, DF 70910-900, Brazil;2. Dept of Wildlife Ecology and Conservation, Univ. Florida, Gainesville, FL 32611-0430, USA;3. Center for Latin American Studies, Univ. Florida, Gainesville, FL 32611-5530, USA;4. Dept of Ecology, Univ. of São Paulo, São Paulo, SP 05508-090, Brazil
Abstract:The carbon use efficiency (CUE) of grassland, a ratio of net primary production (NPP) to gross primary productivity (GPP), is an important index representing the capacity of plants to transfer carbon from the atmosphere to terrestrial biomass. In this study, we used the Moderate Resolution Imaging Spectroradiometer (MODIS) data to calculate the global grassland CUE, and explore the spatiotemporal dynamic of global grassland CUE from 2000 to 2013 to discuss the response to climate variations. The results showed that the average annual CUE of different grassland types follows an order of: open shrublands > non-woody grasslands > closed shrublands > woody savannas > savannas. The higher grassland CUE mainly occurred in the regions with cold and dry climate. By contrast, the regions with the lower grassland CUE were mostly in warm and wet environments. Moreover, the CUE exhibited a globally positive correlation with precipitation and a negative correlation with temperature. Therefore, the grassland CUE has considerable spatial variation associated with grassland type, geographical location and climate change.
Keywords:Global grassland ecosystems  Carbon use efficiency (CUE)  Net primary production (NPP)  Gross primary productivity (GPP)  Precipitation  Temperature
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