The relationship of climate change and landscape pattern with ecosystem carbon storage: A case study from the Qilian Mountains

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  • School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China

Received date: 2021-06-22

  Revised date: 2020-10-22

  Online published: 2022-01-24

Abstract

Climate change and landscape pattern are closely related to the structure, function, and dynamic changes of an ecosystem. The Qilian Mountain Ecosystem (QLME) is an important ecological area in China. Based on multivariate data and using remote sensing and GIS technology combined with InVEST and GeoSOS-FLUS models, the technology and method of estimating carbon storage in the QLME was explored. Consequently, an estimation of carbon storage in the QLME was achieved. According to quantitative estimation and analysis, carbon storage in the QLME showed obvious spatial and temporal differences due to different landscape types. The highest QLME carbon storage was in grassland and woodland followed by in bare land. The carbon storage of cultivated land, wetland, construction land, and rural residential sites was low. From 1985 to 2018, QLME carbon storage increased overall by 4805.95 million tons with an annual growth rate of 38.43%. Grassland carbon storage accounted for more than half of the study area and its carbon storage increased at first before decreasing. Forest landscape carbon storage accounted for 11.31%-36.16% of total carbon storage had a wide range of variation. Based on the future RCP4.5 and RCP8.5 climate change scenarios, the carbon storage of the QLME tended to increase; average carbon storage was estimated at 3813.38 tons for 2050, which would represent a growth rate of 8.69% from the rate in 2018. This study is important for improving understanding of the carbon cycle and ecosystem stability.

Cite this article

WANG Ranghui,ZHAO Wenfei,PENG Qing,LIU Chunwei,ZHOU Limin,TIAN Chang . The relationship of climate change and landscape pattern with ecosystem carbon storage: A case study from the Qilian Mountains[J]. Arid Zone Research, 2022 , 39(1) : 250 -257 . DOI: 10.13866/j.azr.2022.01.24

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