Eco-engineering controls vegetation trends in southwest China karst

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Eco-engineering controls vegetation trends in southwest China karst. / Zhang, Xuemei; Yue, Yuemin; Tong, Xiaowei; Wang, Kelin; Qi, Xiangkun; Deng, Chuxiong; Brandt, Martin.

In: Science of the Total Environment, Vol. 770, 145160, 2021.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Zhang, X, Yue, Y, Tong, X, Wang, K, Qi, X, Deng, C & Brandt, M 2021, 'Eco-engineering controls vegetation trends in southwest China karst', Science of the Total Environment, vol. 770, 145160. https://doi.org/10.1016/j.scitotenv.2021.145160

APA

Zhang, X., Yue, Y., Tong, X., Wang, K., Qi, X., Deng, C., & Brandt, M. (2021). Eco-engineering controls vegetation trends in southwest China karst. Science of the Total Environment, 770, [145160]. https://doi.org/10.1016/j.scitotenv.2021.145160

Vancouver

Zhang X, Yue Y, Tong X, Wang K, Qi X, Deng C et al. Eco-engineering controls vegetation trends in southwest China karst. Science of the Total Environment. 2021;770. 145160. https://doi.org/10.1016/j.scitotenv.2021.145160

Author

Zhang, Xuemei ; Yue, Yuemin ; Tong, Xiaowei ; Wang, Kelin ; Qi, Xiangkun ; Deng, Chuxiong ; Brandt, Martin. / Eco-engineering controls vegetation trends in southwest China karst. In: Science of the Total Environment. 2021 ; Vol. 770.

Bibtex

@article{585c806ddbe546aea5a6e350f449337f,
title = "Eco-engineering controls vegetation trends in southwest China karst",
abstract = "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.",
keywords = "Dominant factors, Eco-engineering, Geographical detector, Karst ecological system, Vegetation trends",
author = "Xuemei Zhang and Yuemin Yue and Xiaowei Tong and Kelin Wang and Xiangkun Qi and Chuxiong Deng and Martin Brandt",
year = "2021",
doi = "10.1016/j.scitotenv.2021.145160",
language = "English",
volume = "770",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Eco-engineering controls vegetation trends in southwest China karst

AU - Zhang, Xuemei

AU - Yue, Yuemin

AU - Tong, Xiaowei

AU - Wang, Kelin

AU - Qi, Xiangkun

AU - Deng, Chuxiong

AU - Brandt, Martin

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Dominant factors

KW - Eco-engineering

KW - Geographical detector

KW - Karst ecological system

KW - Vegetation trends

U2 - 10.1016/j.scitotenv.2021.145160

DO - 10.1016/j.scitotenv.2021.145160

M3 - Journal article

C2 - 33736419

AN - SCOPUS:85100265146

VL - 770

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

M1 - 145160

ER -

ID: 260089188