Trends and contribution of different grassland types in restoring the Three River Headwater Region, China, 1988-2012

Yue Zhan; Xiaojie Liu; Yuzhe Li; Haiyan Zhang; Dongliang Wang; Jiangwen Fan; Jilin Yang

doi:10.1016/j.scitotenv.2023.168161

Trends and contribution of different grassland types in restoring the Three River Headwater Region, China, 1988-2012

Sci Total Environ. 2024 Jan 15:908:168161. doi: 10.1016/j.scitotenv.2023.168161. Epub 2023 Nov 1.

Authors

Yue Zhan¹, Xiaojie Liu², Yuzhe Li³, Haiyan Zhang², Dongliang Wang⁴, Jiangwen Fan⁴, Jilin Yang⁴

Affiliations

¹ Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
² Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Key Laboratory of Natural Resource Coupling Process and Effects, Ministry of Natural Resources, China.
³ Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: liyuzhe@igsnrr.ac.cn.
⁴ Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

PMID: 37918723
DOI: 10.1016/j.scitotenv.2023.168161

Abstract

Rapid greening of the Qinghai-Tibet Plateau had been confirmed, but the contributions to the overall change and its causes in various grassland types has been less studied. Previous research has focused on exogenous factors such as climate change and human activities, rather than on endogenous factors, such as grassland types. Using net primary productivity (NPP), precipitation and temperature data, we applied trend, contribution and pull contribution analysis to understand the spatiotemporal evolution and driving factors of six different grassland types at a pixel scale in the Three River Headwater Region (TRHR) of China from 1988 to 2012. The results showed that grassland NPP in the TRHR increased at an average growth amount of 3.46 gC m^-2 yr^-1 and an average growth rate of 2.26 %. The average growth amount of alpine desert and alpine steppe (0.42 gC m^-2 yr^-1, 1.74 gC m^-2 yr^-1, respectively) showed great potential improvement. The average growth rate (1.27 %, 1.87 %) of montane meadow and alpine meadow, respectively, presented a high potential to increase (P < 0.05). Alpine meadow, montane meadow and temperate steppe were positive pullers to the average growth amount. Alpine steppe and alpine desert were positive pullers to the average growth rate. In general, alpine meadow had the highest growth amount contribution (84.86 %), while alpine meadow and alpine steppe had the highest contribution to the growth rate (62.16 %, 34.24 %, respectively). The study implied that, in addition to external factors, differences in internal factors such as the community composition and structure of different grassland types could also affected the grassland recovery process. These results contribute to understanding the specific differences in the contribution of regional grassland restoration processes from vegetation composition. Assessing grasslands with the potential to increase productivity, we can provide scientific reference for implementing more precise and efficient measures in future grassland management restoration.

Keywords: Contribution; Grassland types; Net primary productivity; Pull contribution rate; Restoration influence factors; Three river headwater region.