Published May 2021 | Version v1
Journal article

Eco-engineering controls vegetation trends in southwest China karst

  • 1. University of Chinese Academy of Science, Beijing 100049 (China)
  • 2. Huanjiang Observation and Research Station for Karst Eco-systems, Huanjiang 547100 (China)
  • 3. Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125 (China)
  • 4. Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen 1350 (Denmark)
  • 5. College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410125 (China)

Description

Highlights: • GDM and GWR models explain the diverse patterns of vegetation trends in China karst. • Eco-engineering was the main reason for vegetation increase in karst areas. • Climate was the dominant driver vegetation decrease in non-karst areas. • Climate and geological settings cause a heterogeneous effect of eco-engineering measures. The karst area in Yunnan-Guangxi-Guizhou region in southwest China is known for widespread rocky desertification but several studies report a greening trend since the year 2000. While the start of the greening trend seems to match with the implementation of ecological conservation projects, no statistical evidence on a relationship between vegetation greening and eco-engineering exists. Moreover, dominant factors influencing the spatial patterns of vegetation trends have rarely been investigated. Here we use six comprehensive factors representing the natural conditions and human activities of the study area, and several statistical models consistently show that eco-engineering explains large parts of the positive vegetation trends in the karst areas, while negative vegetation trends in non-karst areas of Yunnan were related with a decrease in rainfall. We further show that the interaction of eco-engineering with other factors leads to a heterogeneous pattern of different vegetation trends. Knowing and understanding these patterns is crucial when planning ecological restoration, especially in diverse landscapes like China karst and the methods can be reused in other restoration areas.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2021.145160

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2021.145160;
PII
S0048969721002266;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
770
Journal Page Range
vp.
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54058097
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
BIOLOGICAL RECOVERY; CLIMATES; DESERTIFICATION; HETEROGENEOUS EFFECTS; STATISTICAL MODELS
Descriptors DEC
MATHEMATICAL MODELS

Optional Information

Copyright
Copyright (c) 2021 Published by Elsevier B.V.