Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions

Abstract The Chinese National Forest Inventory (NFI) has reported increased forest coverage in China since 2000, however, the new satellite-based dataset Global Forest Change (GFC) finds decreased forest coverage. In this study, four satellite datasets are used to investigate this discrepancy in for...

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Autores principales:	Yan Li, Damien Sulla-Menashe, Safa Motesharrei, Xiao-Peng Song, Eugenia Kalnay, Qing Ying, Shuangcheng Li, Zongwen Ma
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5b17d37f4a8d488e92133a7d160e0343
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spelling	oai:doaj.org-article:5b17d37f4a8d488e92133a7d160e03432021-12-02T11:40:58ZInconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions10.1038/s41598-017-07732-52045-2322https://doaj.org/article/5b17d37f4a8d488e92133a7d160e03432017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07732-5https://doaj.org/toc/2045-2322Abstract The Chinese National Forest Inventory (NFI) has reported increased forest coverage in China since 2000, however, the new satellite-based dataset Global Forest Change (GFC) finds decreased forest coverage. In this study, four satellite datasets are used to investigate this discrepancy in forest cover change estimates in China between 2000 and 2013: forest cover change estimated from MODIS Normalized Burn Ratio (NBR), existing MODIS Land Cover (LC) and Vegetation Continuous Fields (VCF) products, and the Landsat-based GFC. Among these satellite datasets, forest loss shows much better agreement in terms of total change area and spatial pattern than do forest gain. The net changes in forest cover as a proportion of China’s land area varied widely from increases of 1.56% in NBR, 1.93% in VCF, and 3.40% in LC to a decline of −0.40% in GFC. The magnitude of net forest increase derived from MODIS datasets (1.56–3.40%) is lower than that reported in NFI (3.41%). Algorithm parameters, different spatial resolutions, and inconsistent forest definitions could be important sources of the discrepancies. Although several MODIS datasets support an overall forest increase in China, the direction and magnitude of net forest change is still unknown due to the large uncertainties in satellite-derived estimates.Yan LiDamien Sulla-MenasheSafa MotesharreiXiao-Peng SongEugenia KalnayQing YingShuangcheng LiZongwen MaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yan Li Damien Sulla-Menashe Safa Motesharrei Xiao-Peng Song Eugenia Kalnay Qing Ying Shuangcheng Li Zongwen Ma Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions
description	Abstract The Chinese National Forest Inventory (NFI) has reported increased forest coverage in China since 2000, however, the new satellite-based dataset Global Forest Change (GFC) finds decreased forest coverage. In this study, four satellite datasets are used to investigate this discrepancy in forest cover change estimates in China between 2000 and 2013: forest cover change estimated from MODIS Normalized Burn Ratio (NBR), existing MODIS Land Cover (LC) and Vegetation Continuous Fields (VCF) products, and the Landsat-based GFC. Among these satellite datasets, forest loss shows much better agreement in terms of total change area and spatial pattern than do forest gain. The net changes in forest cover as a proportion of China’s land area varied widely from increases of 1.56% in NBR, 1.93% in VCF, and 3.40% in LC to a decline of −0.40% in GFC. The magnitude of net forest increase derived from MODIS datasets (1.56–3.40%) is lower than that reported in NFI (3.41%). Algorithm parameters, different spatial resolutions, and inconsistent forest definitions could be important sources of the discrepancies. Although several MODIS datasets support an overall forest increase in China, the direction and magnitude of net forest change is still unknown due to the large uncertainties in satellite-derived estimates.
format	article
author	Yan Li Damien Sulla-Menashe Safa Motesharrei Xiao-Peng Song Eugenia Kalnay Qing Ying Shuangcheng Li Zongwen Ma
author_facet	Yan Li Damien Sulla-Menashe Safa Motesharrei Xiao-Peng Song Eugenia Kalnay Qing Ying Shuangcheng Li Zongwen Ma
author_sort	Yan Li
title	Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions
title_short	Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions
title_full	Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions
title_fullStr	Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions
title_full_unstemmed	Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions
title_sort	inconsistent estimates of forest cover change in china between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/5b17d37f4a8d488e92133a7d160e0343
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Inconsistent estimates of forest cover change in China between 2000 and 2013 from multiple datasets: differences in parameters, spatial resolution, and definitions

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