Accelerated vegetative growth measured by gross primary productivity in China from 1980 to 2018
文献类型：期刊论文
| 作者 | Zuo, Chan; Wang, Junbang; Zhang, Xiujuan; Watson, Alan E. |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 154页码:110704 |
| 关键词 | Gross primary productivity Periodic oscillations Long-term trend Vegetation response Climate impacts |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2023.110704 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Vegetation response to climate change can be characterized as long-term trends, but with periodic oscillations. Revealing vegetation response trends, with oscillations, is essential for formulating climate change mitigation and adaptation planning, as well as adopting ecological protection and restoration measures. Here, the long-term trend and periodic oscillations in vegetation changes were explored through a measure of gross primary production (GPP), an indicator of vegetation photosynthesis, using data of both high spatial resolution (1 km2) and a long-term of nearly 4 decades, from 1980 to 2018. The GPP data were estimated for China's terrestrial ecosystem and validated against the eddy covariance-based observations of 70 site-year in China and compared to other GPP data products. The results showed the estimated GPP can explain 76% of spatial-temporal variance with the same data accuracy as other products, but with the advantage of both high spatial resolution and long time periods that other products do not have. From the estimated GPP data, Chinese terrestrial vegetation growth was found to have a periodic oscillation of close to 2.79 years and a long-term increasing trend of 59.8 Mt C m � 2 per ten years over 92% of all vegetated land in China from 1980 to 2018. Moreover, it was found that vegetation growth accelerated significantly in the two recent decades over the previous two decades. The growth rate was 83.5 Mt C a-1 from 2000 to 2018, which was 2.31 times faster than the rate from 1980 to 2000. The underlying mechanism of the vegetation responses was analyzed by ridge regression, a method to decrease the effects of multicollinearity. Long-term variability and trends in vegetation could be attributed to a warming minimum air temperature when examined with precipitation, maximum air temperature, and solar shortwave radiation. Though more influences, such as those from freezing and thawing and human activities, should be explored in the future, this study offers insight that warming, with increasing daily minimum temperatures, is likely to be a vital contributor to ecosystem changes, and will be essential knowledge for mitigation of effects and adaptation to future climate. |
| WOS关键词 | NET PRIMARY PRODUCTIVITY ; EMPIRICAL MODE DECOMPOSITION ; CARBON-DIOXIDE UPTAKE ; TERRESTRIAL ECOSYSTEMS ; INTERANNUAL VARIATIONS ; USE EFFICIENCY ; CLIMATE-CHANGE ; LAND-SURFACE ; DRIVING FACTORS ; SOIL-MOISTURE |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001048368500001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194498]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Academy of Sciences 2.United States Forest Service 3.United States Department of Agriculture (USDA) 4.Yangtze University 5.Institute of Geographic Sciences & Natural Resources Research, CAS |
| 推荐引用方式 GB/T 7714 | Zuo, Chan,Wang, Junbang,Zhang, Xiujuan,et al. Accelerated vegetative growth measured by gross primary productivity in China from 1980 to 2018[J]. ECOLOGICAL INDICATORS,2023,154:110704. |
| APA | Zuo, Chan,Wang, Junbang,Zhang, Xiujuan,&Watson, Alan E..(2023).Accelerated vegetative growth measured by gross primary productivity in China from 1980 to 2018.ECOLOGICAL INDICATORS,154,110704. |
| MLA | Zuo, Chan,et al."Accelerated vegetative growth measured by gross primary productivity in China from 1980 to 2018".ECOLOGICAL INDICATORS 154(2023):110704. |
入库方式： OAI收割
来源：地理科学与资源研究所
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