Inter-annual variations of vegetation dynamics to climate change in Ordos, Inner Mongolia, China

Xiru Jia; Guangyong You; Shawn McKenzie; Changxin Zou; Jixi Gao; Anlan Wang

doi:10.1371/journal.pone.0264263

Inter-annual variations of vegetation dynamics to climate change in Ordos, Inner Mongolia, China

PLoS One. 2022 Nov 4;17(11):e0264263. doi: 10.1371/journal.pone.0264263. eCollection 2022.

Authors

Xiru Jia¹, Guangyong You², Shawn McKenzie³, Changxin Zou², Jixi Gao⁴, Anlan Wang⁵

Affiliations

¹ School of Environment & Natural Resources, Renmin University of China, Beijing, 100872, China.
² Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing, Jiangsu, 210042, China.
³ School of Earth, Environment, and Society and McMaster Centre for Climate Change, McMaster University, Hamilton, Ontario, Canada.
⁴ Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing, 100094, China.
⁵ School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044, China.

Abstract

To reveal the characteristics of climate change and the controlling factors for vegetation dynamics in the Ordos, Inner Mongolia, China, 34 years (1982-2015) of regional climate variables and vegetation dynamics were investigated. The results show that: Annual mean air temperature (TMP) significantly increased with a linear slope of 0.473°C/10yr. Annual precipitation (PRE) had a non-significant positive trend nearly 5 times lower than the trend of potential evapotranspiration (PET). The average Normalized Difference Vegetation Index (NDVI) computed for the region was found to show a significant positive trend (6.131×10-4/yr). However, all climate variables displayed non-significant correlations with NDVI at annual scale. The reduction of desert and the increase of grassland over the past decades were accountable for the increased NDVI. Principal components analysis revealed that the regional climate change can be characterized as changes in temperature, humidity and the availability of radiant energy. Based on principal components regression coefficients, NDVI was mostly sensitive to humidity component, followed by growing season warmth (WMI). Spatially, 93.1% of the pixels displayed positive trend and 61.8% of the pixels displayed significant change over the past decades. Both principal regression analysis and partial correlation analysis revealed that NDVI in eastern part of Ordos was sensitive to TMP, whereas, NDVI in southern and western areas of Ordos displayed the high sensitivity to combined effects of PRE and cloud coverage (CLD). Partial correlation analyses also revealed that TMX was a surrogate for aridity, TMN was a representative of humidity, and temperature variations below the threshold of 5°C (CDI) were less important than WMI. We conclude that regional climate change can be characterized by warming and increased aridity. The significant positive trend of regional NDVI and the non-significant correlations between NDVI and climate variables at annual scale suggests the hidden role of the human activities.

Copyright: © 2022 Jia et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

China
Climate Change*
Ecosystem*
Human Activities
Humans
Seasons
Temperature

Grants and funding

This study was funded by a grant from The National Key Research and Development Program of China (2021YFB3901104) awarded to CZ, and The Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonweal Research Institute (GYZX210506) awarded to GY.