Literature DB >> 19580032

Recent land degradation and improvement in China.

Zhanguo Bai1, David Dent.   

Abstract

Land degradation is a global development and environment issue that afflicts China more than most countries in terms of the extent, economic impact, and number of people affected. Up-to-date, quantitative information is needed to support policy and action for food and water security, economic development, and environmental integrity. Data for a defined, recent period enable us to distinguish the legacy of historical land degradation from what is happening now. We define land degradation as long-term decline in ecosystem function and productivity and measure it by remote sensing of the normalized difference vegetation index (NDVI), the greenness index. NDVI may be translated to net primary productivity (NPP). Deviation from the norm serves as a proxy assessment of land degradation and improvement-if other factors that may be responsible are taken into account. These other factors include climate, which may be assessed by rain-use efficiency and energy-use efficiency. Analysis of the 23-year Global Inventory Modeling and Mapping Studies (GIMMS) NDVI data reveals that, in China over the period 1981-2003, NPP increased overall, but areas of declining climate-adjusted NPP comprise 23% of the country, mainly in south China. About 35% of China's population (457 million out of 1317 million) depend on the degrading land. Degrading areas suffered a loss of NPP of 12 kgC ha(-1) y(-1), amounting to almost 60 million tC not fixed from the atmosphere; loss of soil organic carbon from these areas is likely to be orders of magnitude greater. There is no correlation between land degradation and dry lands; it is more of an issue in cropland and forest: 21% of degrading land is cropland and 40% is forest, 24% of the arable and 44% of the forest, respectively. There is no simple statistical relationship between land degradation and rural population density or poverty. Most identified land degradation is in the south and east, driven by unprecedented land-use change.

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Year:  2009        PMID: 19580032     DOI: 10.1579/0044-7447-38.3.150

Source DB:  PubMed          Journal:  Ambio        ISSN: 0044-7447            Impact factor:   5.129


  9 in total

1.  Spatiotemporal changes in vegetation coverage and its causes in China since the Chinese economic reform.

Authors:  Jiaqiang Du; Zhanjun Quan; Shifeng Fang; Chengcheng Liu; Jinhua Wu; Qing Fu
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-09       Impact factor: 4.223

2.  Dynamic change of vegetation and its response to climate and topographic factors in the Xijiang River basin, China.

Authors:  Lu Jia; Zhan-Bin Li; Guo-Ce Xu; Zong-Ping Ren; Peng Li; Yu-Ting Cheng; Yi-Xin Zhang; Bin Wang; Jia-Xin Zhang; Shu Yu
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-22       Impact factor: 4.223

3.  The long-term relationship between population growth and vegetation cover: an empirical analysis based on the panel data of 21 cities in Guangdong Province, China.

Authors:  Chao Li; Yaoqiu Kuang; Ningsheng Huang; Chao Zhang
Journal:  Int J Environ Res Public Health       Date:  2013-02-07       Impact factor: 3.390

4.  A policy-driven large scale ecological restoration: quantifying ecosystem services changes in the Loess Plateau of China.

Authors:  Yihe Lü; Bojie Fu; Xiaoming Feng; Yuan Zeng; Yu Liu; Ruiying Chang; Ge Sun; Bingfang Wu
Journal:  PLoS One       Date:  2012-02-16       Impact factor: 3.240

5.  Deep Soil C, N, and P Stocks and Stoichiometry in Response to Land Use Patterns in the Loess Hilly Region of China.

Authors:  Changzhen Li; Luhong Zhao; Pingsheng Sun; Fazhu Zhao; Di Kang; Gaihe Yang; Xinhui Han; Yongzhong Feng; Guangxin Ren
Journal:  PLoS One       Date:  2016-07-14       Impact factor: 3.240

6.  Spatial-Temporal Pattern of Human-Induced Land Degradation in Northern China in the Past 3 Decades-RESTREND Approach.

Authors:  Wenyi Zhuge; Yaojie Yue; Yanrui Shang
Journal:  Int J Environ Res Public Health       Date:  2019-06-26       Impact factor: 3.390

7.  Stratification of carbon fractions and carbon management index in deep soil affected by the Grain-to-Green Program in China.

Authors:  Fazhu Zhao; Gaihe Yang; Xinhui Han; Yongzhong Feng; Guangxin Ren
Journal:  PLoS One       Date:  2014-06-10       Impact factor: 3.240

8.  Responsiveness of soil nitrogen fractions and bacterial communities to afforestation in the Loess Hilly Region (LHR) of China.

Authors:  Chengjie Ren; Pingsheng Sun; Di Kang; Fazhu Zhao; Yongzhong Feng; Guangxin Ren; Xinhui Han; Gaihe Yang
Journal:  Sci Rep       Date:  2016-06-23       Impact factor: 4.379

9.  Ecosystem services changes between 2000 and 2015 in the Loess Plateau, China: A response to ecological restoration.

Authors:  Dan Wu; Changxin Zou; Wei Cao; Tong Xiao; Guoli Gong
Journal:  PLoS One       Date:  2019-01-28       Impact factor: 3.240

  9 in total

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