Net Primary Productivity of Farmland Ecosystem in Xinjiang: The Spatio-temporal Dynamics and Its Response to Climate Change Based on Agro-IBIS Model

doi:10.11924/j.issn.1000-6850.casb17120129

Abstract

Abstract: To systematically understand the carbon dynamics of farmland ecosystem in arid area and its response to climate change, the authors simulated the spatio-temporal changes of net primary productivity (NPP) of farmland ecosystem in Xinjiang during 1979-2009 by using a new process-based dynamic global vegetation model (Agro-IBIS), and revealed the response of farmland NPP to the changes of different climatic factors and CO2 concentration through the correlation analysis. The results showed that: the average NPP of farmland in Xinjiang was 723.78 g C/(m2·a), while the average total carbon storage was 237.15 Tg C, the average annual net exchange of carbon in agroecosystem (NEE) was -63.36 g C/(m2·a), overall playing as carbon sink during 1979-2009. In terms of the spatial variation of farmland NPP in Xinjiang, the overall change showed a gradual increasing trend except for a slight decrease of NPP in oasis farmland of the Tianshan Mountains. In past 31 years, the correlation between total annual NPP and the average annual temperature was higher than that between it and the average annual precipitation in Xinjiang farmland, indicating that irrigation had much more effects than natural precipitation on oasis agricultural productivity in arid areas of Xinjiang. It was verified that the results of Agro-IBIS model were reasonable in simulation of the carbon budget of farmland ecosystem in Xinjiang, which could provide scientific basis for the simulation and prediction of potential carbon sequestration of farmland ecosystem in the arid area of northwestern China and the scientific formulation of regional carbon management policies.

罗格平 and 殷刚. Net Primary Productivity of Farmland Ecosystem in Xinjiang: The Spatio-temporal Dynamics and Its Response to Climate Change Based on Agro-IBIS Model[J]. Chinese Agricultural Science Bulletin, 2018, 34(34): 91-98.

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