Climate Change Data Portal
DOI | 10.1038/s41598-019-40429-5 |
Using artificial neural networks to predict future dryland responses to human and climate disturbances | |
Buckland, C. E.1; Bailey, R. M.1; Thomas, D. S. G.1,2 | |
发表日期 | 2019 |
ISSN | 2045-2322 |
卷号 | 9 |
英文摘要 | Land degradation and sediment remobilisation in dryland environments is considered to be a significant global environmental problem. Given the potential for currently stabilised dune systems to reactivate under climate change and increased anthropogenic pressures, identifying the role of external disturbances in driving geomorphic response is vitally important. We developed a novel approach, using artificial neural networks (ANNs) applied to time series of historical reactivation-deposition events from the Nebraska Sandhills, to determine the relationship between historic periods of sand deposition in semi-arid grasslands and external climatic conditions, land use pressures and wildfire occurrence. We show that both vegetation growth and sediment re-deposition episodes can be accurately estimated. Sensitivity testing of individual factors shows that localised forcings (overgrazing and wildfire) have a statistically significant impact when the climate is held at present-day conditions. However, the dominant effect is climate-induced drought. Our approach has great potential for estimating future landscape sensitivity to climate and land use scenarios across a wide range of potentially fragile dryland environments. |
WOS研究方向 | Science & Technology - Other Topics |
来源期刊 | SCIENTIFIC REPORTS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/94774 |
作者单位 | 1.Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England; 2.Univ Witwatersrand, Geog Archaeol & Environm Studies, Johannesburg, South Africa |
推荐引用方式 GB/T 7714 | Buckland, C. E.,Bailey, R. M.,Thomas, D. S. G.. Using artificial neural networks to predict future dryland responses to human and climate disturbances[J],2019,9. |
APA | Buckland, C. E.,Bailey, R. M.,&Thomas, D. S. G..(2019).Using artificial neural networks to predict future dryland responses to human and climate disturbances.SCIENTIFIC REPORTS,9. |
MLA | Buckland, C. E.,et al."Using artificial neural networks to predict future dryland responses to human and climate disturbances".SCIENTIFIC REPORTS 9(2019). |
条目包含的文件 | 条目无相关文件。 |
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