Adam Khan, Feng Chen, Heli Zhang, Sidra Saleem, Hamada E. Ali, Weipeng Yue, Martín Hadad
{"title":"A warm-season drought reconstruction in central-northern Pakistan inferred from tree rings since 1670 CE and its possible climatic mechanism","authors":"Adam Khan, Feng Chen, Heli Zhang, Sidra Saleem, Hamada E. Ali, Weipeng Yue, Martín Hadad","doi":"10.1007/s10584-024-03688-4","DOIUrl":null,"url":null,"abstract":"<p>Understanding past warm-season drought variability and its underlying climatic mechanisms is crucial for effective drought management and climate adaptation strategies. In this study, we develop a regional chronology (RC) spanning from 1620 to 2017 CE by utilizing dendrochronological techniques and tree-ring data from two stands of <i>Abies pindrow.</i> The RC reveals a significant positive correlation (<i>p</i> < 0.05) with self-calibrated Palmer drought severity index (scPDSI) and precipitation and a significant negative correlation with temperature. We use a simple linear regression model between RC and climate data to reconstruct a 348-year-long (1670–2017 CE) warm-season (April-July) drought variability from central-northern Pakistan. The reconstructed scPDSI reveals a 44% variance of the scPDSI during the common calibrated period 1950–2017 CE. Spatial correlation shows a positive field correlation with central-northern Pakistan, extending predominantly to neighboring regions. MTM (multi-taper method) spectral analysis reveals inter-annual cycles (6.8, 3.2, 2.7, 2.5, and 2.3 years) and multi-decadal cycles (11.7, 15.2, 16.2, 17.9, and 128 years). The internal-annual cycles demonstrate a possible linkage between reconstructed scPDSI and El Niño–Southern Oscillation (ENSO). The reconstructed scPDSI agrees well with the moisture-sensitive tree-ring records from northern Pakistan and neighboring regions. Our reconstruction shows a significant correlation with the South Asia Summer Monsoon Index (SASMI), Atlantic Multi-decadal Oscillation (AMO), ENSO, Pacific Decadal Oscillation (PDO), and solar activity, emphasizing that all these factors have some influence on the drought variability in central-northern Pakistan. This study has important implications for disaster management and proactive measures for mitigating the impact of drought on both natural ecosystems and human populations in central-northern Pakistan and associated regions.</p>","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"18 1","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climatic Change","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10584-024-03688-4","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding past warm-season drought variability and its underlying climatic mechanisms is crucial for effective drought management and climate adaptation strategies. In this study, we develop a regional chronology (RC) spanning from 1620 to 2017 CE by utilizing dendrochronological techniques and tree-ring data from two stands of Abies pindrow. The RC reveals a significant positive correlation (p < 0.05) with self-calibrated Palmer drought severity index (scPDSI) and precipitation and a significant negative correlation with temperature. We use a simple linear regression model between RC and climate data to reconstruct a 348-year-long (1670–2017 CE) warm-season (April-July) drought variability from central-northern Pakistan. The reconstructed scPDSI reveals a 44% variance of the scPDSI during the common calibrated period 1950–2017 CE. Spatial correlation shows a positive field correlation with central-northern Pakistan, extending predominantly to neighboring regions. MTM (multi-taper method) spectral analysis reveals inter-annual cycles (6.8, 3.2, 2.7, 2.5, and 2.3 years) and multi-decadal cycles (11.7, 15.2, 16.2, 17.9, and 128 years). The internal-annual cycles demonstrate a possible linkage between reconstructed scPDSI and El Niño–Southern Oscillation (ENSO). The reconstructed scPDSI agrees well with the moisture-sensitive tree-ring records from northern Pakistan and neighboring regions. Our reconstruction shows a significant correlation with the South Asia Summer Monsoon Index (SASMI), Atlantic Multi-decadal Oscillation (AMO), ENSO, Pacific Decadal Oscillation (PDO), and solar activity, emphasizing that all these factors have some influence on the drought variability in central-northern Pakistan. This study has important implications for disaster management and proactive measures for mitigating the impact of drought on both natural ecosystems and human populations in central-northern Pakistan and associated regions.
期刊介绍:
Climatic Change is dedicated to the totality of the problem of climatic variability and change - its descriptions, causes, implications and interactions among these. The purpose of the journal is to provide a means of exchange among those working in different disciplines on problems related to climatic variations. This means that authors have an opportunity to communicate the essence of their studies to people in other climate-related disciplines and to interested non-disciplinarians, as well as to report on research in which the originality is in the combinations of (not necessarily original) work from several disciplines. The journal also includes vigorous editorial and book review sections.