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DOI | 10.1016/j.ecolind.2024.111670 |
Random forest-based analysis of land cover/land use LCLU dynamics associated with meteorological droughts in the desert ecosystem of Pakistan | |
Faheem, Zulqadar; Kazmi, Jamil Hasan; Shaikh, Saima; Arshad, Sana; Mohammed, Safwan | |
发表日期 | 2024 |
ISSN | 1470-160X |
EISSN | 1872-7034 |
起始页码 | 159 |
卷号 | 159 |
英文摘要 | Dry land ecosystems extend over 40 % of the Earth, supporting an estimated 3 billion human population. Thus, quantifying LCLU changes in such ecosystems is essential for achieving sustainable development goals. In this context, this research aimed to examine the LCLU changes in the past three decades (1990 - 2020) in an arid ecosystem of Pakistan, i.e., the Cholisatn desert. Three remote sensing indices, the normalized difference vegetation index (NDVI), normalized difference barren index (NDBaI), and top grain soil index (TGSI) are taken as LCLU representatives to examine their temporal relationship associated with meteorological drought, e.g. the standardized precipitation index (SPI). Moreover, machine learning-based random forest (RF) classification followed by change detection techniques was implemented. Results from RF classifier revealed the applicability of RF in accurately predicting LULC with validation overall accuracy of 0.99. Output of the research revealed an interesting finding where the desert experienced significant LCLU change over the last three decades. The highest vegetation expansion (4.4 %) took place from 2014 to 2020 at the expense of the highest reduction of barren land (-6.3 %). Mann-Kendall trend (MK) and Sen's slope (SS) analysis showed a significant (P < 0.001) increasing trend of NDVI (SS = 0.004), SPI (SS = 0.01 and 0.04) and decreasing trend of NDBaI and TGSI (SS = -0.001, -0.005). Interestingly, the significant positive Pearson correlation range (r = 0.6-0.8) of NDVI with SPI-1 to 6, and negative correlation range (r = 0.5-0.7) of NDBaI with SPI indices reveals a strong linear relationship between LCLU and meteorological drought. The research provides substantial implications for policy makers and stakeholders emphasizing the need for proactive strategies such as drought resistant vegetation to improve and maintain the ecological health of desert and combating the negative impacts of climatic change. |
英文关键词 | Change Detection; Climate Change; SPI; Development; Arid ecosystem |
语种 | 英语 |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
WOS类目 | Biodiversity Conservation ; Environmental Sciences |
WOS记录号 | WOS:001177259800001 |
来源期刊 | ECOLOGICAL INDICATORS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/290989 |
作者单位 | University of Karachi; Islamia University of Bahawalpur; University of Debrecen; University of Debrecen |
推荐引用方式 GB/T 7714 | Faheem, Zulqadar,Kazmi, Jamil Hasan,Shaikh, Saima,et al. Random forest-based analysis of land cover/land use LCLU dynamics associated with meteorological droughts in the desert ecosystem of Pakistan[J],2024,159. |
APA | Faheem, Zulqadar,Kazmi, Jamil Hasan,Shaikh, Saima,Arshad, Sana,&Mohammed, Safwan.(2024).Random forest-based analysis of land cover/land use LCLU dynamics associated with meteorological droughts in the desert ecosystem of Pakistan.ECOLOGICAL INDICATORS,159. |
MLA | Faheem, Zulqadar,et al."Random forest-based analysis of land cover/land use LCLU dynamics associated with meteorological droughts in the desert ecosystem of Pakistan".ECOLOGICAL INDICATORS 159(2024). |
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