Spatiotemporal patterns and drivers of net primary production in the terrestrial ecosystem of the Dajiuhu Basin,China, between 1990 and 2018 |
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| Institution: | 1. Department of Geographical Sciences, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China;2. Hubei Key Laboratory of Critical Zone Evolution, China University of Geosciences, Wuhan 430074, China;3. Guizhou Electric Power Design Research Institute, Power Construction Corporation of China, Guiyang 550002, Guizhou, China;1. Department of Health Science and Biostatistics, School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia;2. Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia;3. Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia;1. Unidade Acadêmica de Ciências Biológicas, Universidade Federal de Jataí – UFJ, Jataí, GO, Brazil;2. Departamento de Botânica, Universidade Estadual de Campinas – UNICAMP, Campinas, SP, Brazil;1. Department of Zoology, University of Calcutta, Kolkata, India;2. Department of Zoology, Shibpur Dinobundhoo Institution (College), Shibpur, Howrah, India |
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| Abstract: | Net primary production (NPP) plays a vital role in both the evolution of ecosystems and the terrestrial carbon cycle and is influenced by geographical conditions and climate change. Understanding the terrestrial carbon balance requires an in-depth knowledge of the relationships between NPP and geographical and climatic conditions. This study aimed to simulate and map the daily spatiotemporal features of terrestrial NPP in the Dajiuhu Basin (DB), China, using the BEPS-TerrainLab V2.0 model. This area is highly sensitive to climate change and is a water source in the central path of the South-to-North Water Transfer Project. Changes in the distribution of daily and seasonal NPP between 1990 and 2018 were examined using the Mann-Kendall (MK) test, the moving t-test (MTT), and multiple regression analyses. It was found that: 1) The model explained 79% of the variation in eddy covariance (EC)-tower-measured NPP, and could thus be applied to the DB; 2) The mean annual NPP in the DB between 1990 and 2018 was 705 g C/m2/yr, with the terrestrial NPP decreasing before 1999 (?31.8 g C/m2/yr) and increasing after 1999 (0.87 g C/m2/yr); 3) The NPP first increased and then decreased with increasing altitude, with higher NPP values mainly found in the mountains on the periphery of the basin and lower NPP values in the central basin;4) Changes in NPP during autumn and summer contributed the most to the annual NPP trend. Temperature and NPP were positively correlated in summer and autumn, whereas they were negatively correlated in spring and winter. Precipitation and NPP were positively correlated in spring, autumn, and winter; 5) The sensitivities of NPP to temperature and precipitation differed across the different seasons. The sensitivities of the annual NPP to temperature and precipitation decreased and increased, respectively, compared with those before 1999. Although the contribution of precipitation to the NPP trend became more significant after 1999, that of temperature decreased. This study proposes an approach for a detailed study of daily changes in NPP and for examining the link between environmental factors, climatic conditions, and NPP distribution. |
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