The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Detection and attribution of vegetation greening trend in China over the last 30 years
Open accessAbstract
The reliable detection and attribution of changes in vegetation growth is a prerequisite for the development of strategies for the sustainable management of ecosystems. This is an extraordinary challenge. To our knowledge, this study is the first to comprehensively detect and attribute a greening trend in China over the last three decades. We use three different satellite‐derived Leaf Area Index (LAI) datasets for detection as well as five different process‐based ecosystem models for attribution. Rising atmospheric CO2 concentration and nitrogen deposition are identified as the most likely causes of the greening trend in China, explaining 85% and 41% of the average growing‐season LAI trend (LAI GS) estimated by satellite datasets (average trend of 0.0070 yr−1, ranging from 0.0035 yr−1 to 0.0127 yr−1), respectively. The contribution of nitrogen deposition is more clearly seen in southern China than in the north of the country. Models disagree about the contribution of climate change alone to the trend in LAI GS at the country scale (one model shows a significant increasing trend, whereas two others show significant decreasing trends). However, the models generally agree on the negative impacts of climate change in north China and Inner Mongolia and the positive impact in the Qinghai–Xizang plateau. Provincial forest area change tends to be significantly correlated with the trend of LAI GS (P < 0.05), and marginally significantly (P = 0.07) correlated with the residual of LAI GS trend, calculated as the trend observed by satellite minus that estimated by models through considering the effects of climate change, rising CO2 concentration and nitrogen deposition, across different provinces. This result highlights the important role of China's afforestation program in explaining the spatial patterns of trend in vegetation growth.
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Self-citationClimate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999
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Self-citationDifferent glacier status with atmospheric circulations in Tibetan Plateau and surroundings
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Self-citationReduction of forest soil respiration in response to nitrogen deposition
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Greening of the Earth and its drivers
Zhu, Z., Piao, S., Myneni, R. B., Huang, M., Zeng, Z., Canadell, J. G., Ciais, P., Sitch, S., Friedlingstein, P., Arneth, A., et al. (2016) · Nature Climate Change · doi:10.1038/nclimate3004 · Cited by 2,779
Self-citationRevegetation in China’s Loess Plateau is approaching sustainable water resource limits
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Self-citationGlobal land change from 1982 to 2016
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Metadata
- Authors
- Piao, S., Yin, G., Tan, J., Cheng, L., Huang, M., Li, Y., Liu, R., Mao, J., Myneni, R. B., Peng, S., Poulter, B., Shi, X., Xiao, Z., Zeng, N., Zeng, Z., & Wang, Y.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2015-01-08
- Volume
- 21
- Issue
- 4
- Pages
- 1601-1609
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2144423540
- Cited by
- 874
- References
- 59
- FWCI
- 18.74
- Type
- journal article
- Language
- en
- Open access
- green
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- Piao, S., Yin, G., Tan, J., Cheng, L., Huang, M., Li, Y., Liu, R., Mao, J., Myneni, R. B., Peng, S., Poulter, B., Shi, X., Xiao, Z., Zeng, N., Zeng, Z., & Wang, Y. (2015). Detection and attribution of vegetation greening trend in China over the last 30 years. Global Change Biology. https://doi.org/10.1111/gcb.12795
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