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Proceedings of the Royal Society B Biological Sciences
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Other literature type . 2017
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China's fight to halt tree cover loss

معركة الصين لوقف فقدان الغطاء الشجري
Authors: Lubiao Zhang; Philip Beckschäfer; Jianchu Xu; Jianchu Xu; Mingcheng Wang; Mingcheng Wang; Robert J. Zomer; +4 Authors

China's fight to halt tree cover loss

Abstract

China is investing immense resources for planting trees, totalling more than US$ 100 billion in the past decade alone. Every year, China reports more afforestation than the rest of the world combined. Here, we show that China's forest cover gains are highly definition-dependent. If the definition of ‘forest’ follows FAO criteria (including immature and temporarily unstocked areas), China has gained 434 000 km 2 between 2000 and 2010. However, remotely detectable gains of vegetation that non-specialists would view as forest (tree cover higher than 5 m and minimum 50% crown cover) are an order of magnitude less (33 000 km 2 ). Using high-resolution maps and environmental modelling, we estimate that approximately 50% of the world's forest with minimum 50% crown cover has been lost in the past approximately 10 000 years. China historically lost 1.9–2.7 million km 2 (59–67%), and substantial losses continue. At the same time, most of China's afforestation investment targets environments that our model classes as unsuitable for trees. Here, gains detectable via satellite imagery are limited. Conversely, the regions where modest gains are detected are environmentally suitable but have received little afforestation investment due to conflicting land-use demands for agriculture and urbanization. This highlights the need for refined forest monitoring, and greater consideration of environmental suitability in afforestation programmes.

Keywords

Satellite Imagery, Conservation of Natural Resources, China, Economics, FOS: Political science, FOS: Law, Investment (military), Forests, Environmental science, Trees, Natural resource economics, Afforestation, Pathology, Climate change, Tree planting, Global Forest Transition, Agroforestry, Reforestation, Political science, Biology, Economic growth, Global and Planetary Change, Global Change and Conservation, Global Analysis of Ecosystem Services and Land Use, Forest cover, Ecology, Geography, FOS: Clinical medicine, Urbanization, Politics, Satellite imagery, Agriculture, Remote Sensing in Vegetation Monitoring and Phenology, Remote sensing, Archaeology, FOS: Biological sciences, Dentistry, Environmental Science, Physical Sciences, Medicine, Crown (dentistry), Drivers and Impacts of Tropical Deforestation, Law, Vegetation (pathology)

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    75
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
75
Top 1%
Top 10%
Top 1%
Green
hybrid