Grassland production in response to changes in biological metrics over the Tibetan Plateau.

Autor: Jin J; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China; School of Earth Sciences and Engineering, Hohai University, Nanjing, China. Electronic address: jiaxinking@hhu.edu.cn., Ma X; German Centre for Integrative Biodiversity Research (iDiv), Leipzig , 04103, Germany; Max Planck Institute for Biogeochemistry, Jena, Germany., Chen H; Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China., Wang H; Department of Earth System Science, Tsinghua University, Beijing, China., Kang X; Beijing Key Laboratory of Wetland Services and Restoration, Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China., Wang X; Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, China., Wang Y; School of Culture Industry and Tourism Management, Sanjiang University, Nanjing, China., Yong B; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China; School of Earth Sciences and Engineering, Hohai University, Nanjing, China., Guo F; School of Earth Sciences and Engineering, Hohai University, Nanjing, China.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2019 May 20; Vol. 666, pp. 641-651. Date of Electronic Publication: 2019 Feb 19.
DOI: 10.1016/j.scitotenv.2019.02.293
Abstrakt: A clear interannual variability in annual production of grasslands (termed AEVI) has been reported over the Tibetan Plateau (TP), but the underlying mechanism has not been fully understood. Here, we explained the interannual variability of AEVI during 2001-2015 by two phenological metrics (the start and end of the growing season, termed SOS and EOS, respectively) and one physiological metric (the maximum capacity of canopy light absorbance, termed MEVI) using MODIS Enhanced Vegetation Index (EVI) data over the TP. The results showed that the interannual variability of AEVI can be well attributed to not only the trends of, but also the sensitivities of AEVI to, the selected biological metrics. On the one hand, the advancing SOS and delaying EOS dominated the study area while both increased and decreased MEVI were observed. On the other hand, the AEVI responded negatively to the SOS and positively to the EOS and MEVI, exhibiting significant variations along the temperature and precipitation gradients. Hence, the current interannual variability of SOS and EOS mainly increased the AEVI; meanwhile, both enhancement and suppression of the interannual variability of MEVI to the AEVI were widespread over the TP. Overall, the interannual variability of MEVI mostly contributed to that of the AEVI, indicating a dominant role of the physiological metric rather than phenological metrics in carbon gain of TP grasslands. The achievements of this study are helpful to understand the underlying biological causes of the interannual variability of grassland production over the TP.
(Copyright © 2019 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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