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DOI | 10.3390/rs11030358 |
Did Ecological Restoration Hit Its Mark? Monitoring and Assessing Ecological Changes in the Grain for Green Program Region Using Multi-source Satellite Images | |
Tang, Yuzhi1,2; Shao, Quanqin1,2; Liu, Jiyuan1; Zhang, Haiyang1; Yang, Fan1,2; Cao, Wei1; Wu, Dan3; Gong, Guoli4 | |
发表日期 | 2019 |
ISSN | 2072-4292 |
卷号 | 11期号:3 |
英文摘要 | Ecological restoration programs are expected to control environmental deterioration and enhance ecosystem functions under a scenario of increasing human disturbance. The largest ecological restoration program ever implemented in China, the first round of the countrywide Grain for Green Program (GGP), finished in 2010. However, it is not known whether the ecological changes that resulted from the GGP met the restoration goal across the whole implementation region. In this study, we monitored and assessed the ecological changes in the whole GGP region in China over the lifetime of the first round of implementation (2000-2010), by establishing a comprehensive assessment indicator system composed of ecosystem pattern, ecosystem quality (EQ), and key ecosystem services (ESs). Remote sensing interpretation, ecological model simulations based on multi-source images, and trend analysis were used to generate land use and land cover (LULC) datasets and estimate ES and ESs indicators. Results showed that while forest increased by 0.77%, artificial land increased more intensely by 22.38%, and cropland and grassland decreased by 1.81% and 0.68%, respectively. The interconversion of cropland and forest played a primary role in ecosystem pattern change. The increase in ecosystem quality measures, including fractional vegetation cover (0.1459% yr(-1)), leaf area index (0.0121 yr(-1)), and net primary productivity (2.6958 gC m(-2) yr(-1)), and the mitigation of ecosystem services deterioration in soil water loss (-0.0841 t ha yr(-1)) and soil wind loss (-1.0071 t ha yr(-1)) in the GGP region, indicated the positive ecological change in the GGP region to some extent, while southern GGP subregions improved more than the those in the north on the whole. The GGP implementation other than climate change impacted ecological change, with contributions of 14.23%, 9.94%, 8.23%, 30.45%, and 18.05% in the ecological outputs mentioned above, respectively. However, the water regulation did not improve (-2283 t km(-2) yr(-1)), revealing trade-offs between ecosystem services and inappropriate afforestation in ecological restoration programs. Future GGP implementation should change the practice of large-scale afforestation, and focus more on the restoration of existing forest and cultivation of young plantings, formulating rational and specific plans and designs for afforestation areas through the establishment of near-natural vegetation communities, instead of single-species plantations, guided by regional climate and geographical characteristics. |
WOS研究方向 | Remote Sensing |
来源期刊 | REMOTE SENSING |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/92781 |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Minist Ecol & Environm, Nanjing Inst Environm Sci, Nanjing 210042, Jiangsu, Peoples R China; 4.Shanxi Inst Energy, Taiyuan 030006, Shanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Tang, Yuzhi,Shao, Quanqin,Liu, Jiyuan,et al. Did Ecological Restoration Hit Its Mark? Monitoring and Assessing Ecological Changes in the Grain for Green Program Region Using Multi-source Satellite Images[J],2019,11(3). |
APA | Tang, Yuzhi.,Shao, Quanqin.,Liu, Jiyuan.,Zhang, Haiyang.,Yang, Fan.,...&Gong, Guoli.(2019).Did Ecological Restoration Hit Its Mark? Monitoring and Assessing Ecological Changes in the Grain for Green Program Region Using Multi-source Satellite Images.REMOTE SENSING,11(3). |
MLA | Tang, Yuzhi,et al."Did Ecological Restoration Hit Its Mark? Monitoring and Assessing Ecological Changes in the Grain for Green Program Region Using Multi-source Satellite Images".REMOTE SENSING 11.3(2019). |
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