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Zhou K, Shi X. Deep learning-based quantitative analyses of feedback in the land-atmosphere interactions over the Vietnamese Mekong Delta. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:175119. [PMID: 39089372 DOI: 10.1016/j.scitotenv.2024.175119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 07/14/2024] [Accepted: 07/27/2024] [Indexed: 08/03/2024]
Abstract
During the past several decades, the Vietnamese Mekong Delta (VMD) has experienced many severe droughts, resulting in significant impacts on both agriculture and aquaculture. In the evolution and intensification of droughts, local feedbacks in the Land-Atmosphere (LA) interactions were considered to play a crucial role. It is critical to quantify the impact of LA variables on drought processes and severity with the feedback loop of water and energy balances (e.g., soil moisture-latent and sensible heat-precipitation). In this study, a deep learning model, named Long- and Short-term Time-series Network (LSTNet), was applied to simulate the LA interactions over the VMD. With the ERA5 data as modelling inputs, the role of each key variable (e.g., soil moisture, sensible and latent heat) in the LA interactions over the period of 2011-2020 was quantified, and the variations of their inter-relationships in the future period (2015-2099) were also investigated based on the CMIP6 data. The LSTNet model has demonstrated that the deep learning algorithm can effectively capture the relative importance of key variables in the LA interactions. We found that it is crucial to evaluate the effects of soil moisture and sensible heat on the LA interactions, particularly in the dry periods when negative anomalies in soil moisture and sensible heat would significantly reduce the amount of precipitation. In addition, the decline in soil moisture and the rise in sensible heat are anticipated to further diminish precipitation in the future under the changing climate.
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Affiliation(s)
- Keke Zhou
- School of Social and Environmental Sustainability, University of Glasgow, Dumfries, UK.
| | - Xiaogang Shi
- School of Social and Environmental Sustainability, University of Glasgow, Dumfries, UK
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2
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Zhu Z, Duan W, Zou S, Zeng Z, Chen Y, Feng M, Qin J, Liu Y. Spatiotemporal characteristics of meteorological drought events in 34 major global river basins during 1901-2021. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 921:170913. [PMID: 38354818 DOI: 10.1016/j.scitotenv.2024.170913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 01/24/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024]
Abstract
Meteorological drought is a crucial driver of various types of droughts; thus, identifying the spatiotemporal characteristics of meteorological drought at the basin scale has implications for ecological and water resource security. However, differences in drought characteristics between river basins have not been clearly elucidated. In this study, we identify and compare meteorological drought events in 34 major river basins worldwide using a three-dimensional drought-clustering algorithm based on the standardised precipitation evapotranspiration index on a 12-month scale from 1901 to 2021. Despite synchronous increases in precipitation and potential evapotranspiration (PET), with precipitation increasing by more than three times the PET, 47 % (16/34) of the basins showed a tendency towards drought in over half their basin areas. Drought events occurred frequently, with more than half identified as short-term droughts (lasting less than or equal to three months). Small basins had a larger drought impact area, with major drought events often originating from the basin boundaries and migrating towards the basin centre. Meteorological droughts were driven by changes in sea surface temperature (SST), especially the El Niño Southern Oscillation (ENSO) or other climate indices. Anomalies in SST and atmospheric circulation caused by ENSO events may have led to altered climate patterns in different basins, resulting in drought events. These results provide important insights into the characteristics and mechanisms of meteorological droughts in different river basins worldwide.
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Affiliation(s)
- Ziyang Zhu
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weili Duan
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Shan Zou
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu, Xinjiang 843017, China.
| | - Zhenzhong Zeng
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yaning Chen
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Meiqing Feng
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingxiu Qin
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yongchang Liu
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China
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3
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Liu X, Yu S, Yang Z, Dong J, Peng J. The first global multi-timescale daily SPEI dataset from 1982 to 2021. Sci Data 2024; 11:223. [PMID: 38383611 PMCID: PMC10881487 DOI: 10.1038/s41597-024-03047-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 02/05/2024] [Indexed: 02/23/2024] Open
Abstract
Global warming accelerates water cycle, causing more droughts globally that challenge monitoring and forecasting. The Standardized Precipitation Evapotranspiration Index (SPEI) is used to assess drought characteristics and response time of natural and economic systems at various timescales. However, existing SPEI datasets have coarse spatial or temporal resolution or limited spatial extent, restricting their ability to accurately identify the start or end dates or the extent of drought at the global scale. To narrow these gaps, we developed a global daily SPEI dataset (SPEI-GD), with a 0.25° spatial resolution from 1982 to 2021 at multiple timescales (5, 30, 90, 180 and 360 days), based on the precipitation from European Center for Medium Weather Forecasting Reanalysis V5 (ERA5) dataset and the potential evapotranspiration from Singer's dataset. Compared to widely used SPEIbase dataset, the SPEI-GD can improve the spatial-temporal resolution and the accuracy of SPEI in areas where meteorological sites are lacking. The SPEI-GD significantly correlates with site-based SPEI and soil moisture. Our dataset solidly supports sub-seasonal and daily-scale global and regional drought research.
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Affiliation(s)
- Xuebang Liu
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Shuying Yu
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Zhiwei Yang
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jianquan Dong
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jian Peng
- Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
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4
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Nie M, Huang S, Duan W, Leng G, Bai G, Wang Z, Huang Q, Fang W, Peng J. Meteorological drought migration characteristics based on an improved spatiotemporal structure approach in the Loess Plateau of China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168813. [PMID: 38030016 DOI: 10.1016/j.scitotenv.2023.168813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/30/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023]
Abstract
The development of drought has spatial and temporal synchronization. Previous studies usually explore the spatial and temporal evolution of drought separately. Moreover, existing approaches are based on a fixed overlapping area and do not consider the variable drought cluster area during development. This study proposes an improved and simple approach to derive dynamic overlapping area threshold for 3-dimensional droughts extraction. Based on the one monthly Nonparametric Standardized Precipitation Index (NSPI), this improved approach was applied for investigating the migration characteristics of meteorological drought events in the Loess Plateau of China. Then, Random Forest and Extreme Gradient Boosting model with Shapley additive explanation values were used to quantify the importance of driving factors on the dynamics of drought characteristics. The results showed that: (1) the improved approach has a better performance on identifying prolonged droughts than the method using a fixed overlap area threshold; (2) spatially, meteorological drought events with high severity (DS), long duration (DD), large effected area (DA) and fast migration velocity (DV) mainly occur in the central region; (3) temporally, droughts are expected to aggravate with significantly increased DS and DA which are mainly caused by increased temperature and vegetation; and (4) meteorological droughts have a preferred westward migration direction and three dominant migration paths, which are crucial for local drought prevention and control. The findings of this study provide new perspectives on drought migration characteristics, which are important for the exploration of drought-driven mechanisms, risk assessment and future prediction.
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Affiliation(s)
- Mingqiu Nie
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China
| | - Shengzhi Huang
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China.
| | - Weili Duan
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guoyong Leng
- Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Ganggang Bai
- State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuang University, Chengdu 610065, China
| | - Zhixia Wang
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China
| | - Qiang Huang
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China
| | - Wei Fang
- State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China
| | - Jian Peng
- Department of Remote Sensing, Helmholtz Centre for Environmental Research - UFZ, Permoserstrasse 15, 0418 Leipzig, Germany
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5
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Gao Y, Zhao T, Tu T, Tian Y, Zhang Y, Liu Z, Zheng Y, Chen X, Wang H. Spatiotemporal links between meteorological and agricultural droughts impacted by tropical cyclones in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169119. [PMID: 38070559 DOI: 10.1016/j.scitotenv.2023.169119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 12/03/2023] [Accepted: 12/03/2023] [Indexed: 12/18/2023]
Abstract
Both droughts and tropical cyclones (TCs) are among the world's most widespread natural disasters. This paper is concentrated on the effects of TCs on the links between meteorological droughts (MDs) and agricultural droughts (ADs). Specifically, changes in characteristics of drought events and variations in propagation features of matched MD and AD event pairs are quantified by using the renowned three-dimensional connected components algorithm; both alleviation and exacerbation effects of TCs are evaluated; and the Spearman's correlation is employed to identify potential contributors to exacerbated droughts after TCs. The results show that TCs exhibit more pronounced and widespread alleviation effects on MD events compared to AD events. >98 % of small-scale drought events are terminated by TCs, leading to 65 % reduction in the total area of MD events smaller than 50,000 km2 and 32 % reduction in AD events of the same scale. In the meantime, TCs can reshape the spatiotemporal links between MDs and ADs by reducing the overall propagation rate from 77 % to 40 % and ameliorating the characteristics of drought event pairs with higher propagation efficiency, by >40 %. After TCs, over 55 % of drought exacerbations in TC-affected regions occur first in the vicinity of the residual large-scale AD events. This occurrence is partially associated with the reduction in moisture exports from these residual droughts downwind to the interior of TC-affected regions, a process potentially facilitated by the TC-induced temperature cooling. The in-depth evaluation of this paper presents useful information for better drought preparation and mitigation under TCs.
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Affiliation(s)
- Yankang Gao
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China
| | - Tongtiegang Zhao
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China.
| | - Tongbi Tu
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China
| | - Yu Tian
- Department of Water Resources, China Institute of Water Resource and Hydropower Research, Beijing 100038, China
| | - Yongyong Zhang
- Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Zhiyong Liu
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China
| | - Yanhui Zheng
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China
| | - Xiaohong Chen
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China
| | - Hao Wang
- Department of Water Resources, China Institute of Water Resource and Hydropower Research, Beijing 100038, China
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6
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Liu L, Zheng J, Guan J, Han W, Liu Y. Grassland cover dynamics and their relationship with climatic factors in China from 1982 to 2021. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167067. [PMID: 37717757 DOI: 10.1016/j.scitotenv.2023.167067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/17/2023] [Accepted: 09/12/2023] [Indexed: 09/19/2023]
Abstract
China possesses abundant grassland resources, making it imperative to comprehend the influence of climate change on Chinese grassland ecosystems. Nonetheless, the impact pathways and lag effects of climate factors on various grassland types in this region at multiple temporal scales are still to be investigated in long-term sequences. This study investigated the dynamics of grassland FVC (fractional vegetation cover), temperature, precipitation, and drought from 1982 to 2021 using trend analysis, multiple linear regression, path analysis, and correlation analysis and explored the dominant, direct, indirect, and time-lag effects of climate factors on different grassland types at multiple time scales. Precipitation-grassland correlation pathways dominated the annual-scale grassland FVC. The correlation path of temperature to grassland FVC and the direct path of temperature dominated spring grassland FVC. The correlation path of drought to grassland FVC and the direct path of drought dominated summer grassland FVC. The correlation path of temperature to grassland FVC and the direct path of temperature dominated autumn and winter grassland FVC. The effects of temperature and precipitation on alpine and subalpine meadows, desert grasslands, and alpine and subalpine plains grasslands had a 1-month lag. The response to drought exhibited a 1-month lag in desert grasslands, a 2-month lag in alpine and subalpine meadows, plains grasslands, meadows, and alpine and subalpine plains grasslands, and a 3-month lag in sloped grasslands. This study seeks to provide a scientific reference to reveal the impact of climate change on grasslands and to protect grassland ecosystems.
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Affiliation(s)
- Liang Liu
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
| | - Jianghua Zheng
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China.
| | - Jingyun Guan
- College of Tourism, Xinjiang University of Finance & Economics, Urumqi 830012, China
| | - Wanqiang Han
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
| | - Yujia Liu
- College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
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7
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Wang M, Menzel L, Jiang S, Ren L, Xu CY, Cui H. Evaluation of flash drought under the impact of heat wave events in southwestern Germany. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166815. [PMID: 37673262 DOI: 10.1016/j.scitotenv.2023.166815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 08/24/2023] [Accepted: 09/02/2023] [Indexed: 09/08/2023]
Abstract
Flash droughts are a recently recognised type of extreme drought defined by the rapid onset and strong intensification of drought conditions. Our understanding of flash drought processes under the influence of heat waves needs to be improved in the context of global warming. Here, we applied a physically based hydrological model, i.e., TRAnspiration and INterception (TRAIN) model to simulate root zone soil moisture (RZSM) and evapotranspiration (ET) with daily time steps and at a 1 × 1 km resolution to identify and assess flash droughts. Two states, Baden-Württemberg (BW) and Rhineland-Palatinate (RP), located in southwestern Germany, were selected as the study areas. Three datasets, the Global Land Evaporation Amsterdam Model (GLEAM) dataset, ERA5-Land (land component of the fifth generation of European ReAnalysis) dataset, and SMAP-L4 (Soil Moisture Active Passive Level-4) dataset, were selected to evaluate the TRAIN simulated RZSM and ET from 1961 to 2016. The results show that the simulated RZSM had the highest correlation with the ERA5-Land products, followed by SMAP-L4 and GLEAM, with regional average correlation coefficients (CC) of 0.765, 0.762, and 0.746, respectively. The CC of the TRAIN simulated ET with ERA5-Land and GLEAM ET were 0.828 and 0.803, respectively. The results of the trend analyses showed a significant increase (p < 0.05) in the number of flash droughts and heat waves in both the BW and RP states. A comparative analysis revealed that the mean duration and onset speed of flash droughts in BW (RP) without heat waves were 10.42 (10.67) pentads and 19.69th percentile/pentad (17.16th percentile/pentad), respectively, while associated with heat waves they were 8.95 (9.53) pentads and 21.77th percentile/pentad (19.91th percentile/pentad), respectively. This indicates that flash droughts under the influence of heat waves are generally shorter in duration but faster in occurrence. The findings of this study have important implications for flash drought assessment, monitoring, and mitigation under the impact of heat waves.
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Affiliation(s)
- Menghao Wang
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; Cooperative Innovation Center for Water Safety and Hydro-Science, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
| | - Lucas Menzel
- Department of Geography, Professorship in Hydrology and Climatology, Heidelberg University, Heidelberg D-69120, Germany.
| | - Shanhu Jiang
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; Cooperative Innovation Center for Water Safety and Hydro-Science, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
| | - Liliang Ren
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; Cooperative Innovation Center for Water Safety and Hydro-Science, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
| | - Chong-Yu Xu
- Department of Geosciences, University of Oslo, Oslo, Norway
| | - Hao Cui
- College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
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8
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Liu Z, Ye L, Jiang J, Liu R, Xu Y, Jia G. Increased uptake of deep soil water promotes drought resistance in mixed forests. PLANT, CELL & ENVIRONMENT 2023; 46:3218-3228. [PMID: 37287350 DOI: 10.1111/pce.14642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/19/2023] [Accepted: 05/30/2023] [Indexed: 06/09/2023]
Abstract
The intensity and frequency of droughts are projected to rise in recent years and adversely affect forests. Thus, information on plant water use and acclimation during and after droughts is crucial. This study used the stable isotope and thermal dissipation probes to detect the water-use adaptation of mixed forests to drought using a precipitation gradient control experiment in the field. The results showed that Platycladus orientalis and Quercus variabilis mainly absorbed stable water from deep soil layers during the drought (32.05% and 28.2%, respectively). The synergetic nocturnal sap flow in both species replenished the water loss, but P. orientalis experienced a greater decline in transpiration acclimation to drought. The transpiration of Q. variabilis remained high since it was mainly induced by radiation. After short-term exposure to drought, P. orientalis majorly obtained shallow soil water, confirming its sensitivity to shallow water. Contrarily, Q. variabilis mainly absorbed stable water from deep soil layers regardless of the soil water content. Therefore, these findings suggest that Q. variabilis cannot physiologically adjust to extreme drought events, possibly limiting their future distributions and altering the composition of boreal forests.
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Affiliation(s)
- Ziqiang Liu
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
- Center of Ecological Forestry Development of Jingning She Nationality Autonomous County, Lishui, China
| | - Limin Ye
- Center of Ecological Forestry Development of Jingning She Nationality Autonomous County, Lishui, China
| | - Jiang Jiang
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Rilin Liu
- Center of Ecological Forestry Development of Jingning She Nationality Autonomous County, Lishui, China
| | - Yuanke Xu
- Center of Ecological Forestry Development of Jingning She Nationality Autonomous County, Lishui, China
| | - Guodong Jia
- Key Laboratory of Soil and Water Conservation and Desertification Combating of Ministry of Education, Beijing Forestry University, Beijing, China
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9
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Li W, Pacheco-Labrador J, Migliavacca M, Miralles D, Hoek van Dijke A, Reichstein M, Forkel M, Zhang W, Frankenberg C, Panwar A, Zhang Q, Weber U, Gentine P, Orth R. Widespread and complex drought effects on vegetation physiology inferred from space. Nat Commun 2023; 14:4640. [PMID: 37582763 PMCID: PMC10427636 DOI: 10.1038/s41467-023-40226-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 07/12/2023] [Indexed: 08/17/2023] Open
Abstract
The response of vegetation physiology to drought at large spatial scales is poorly understood due to a lack of direct observations. Here, we study vegetation drought responses related to photosynthesis, evaporation, and vegetation water content using remotely sensed data, and we isolate physiological responses using a machine learning technique. We find that vegetation functional decreases are largely driven by the downregulation of vegetation physiology such as stomatal conductance and light use efficiency, with the strongest downregulation in water-limited regions. Vegetation physiological decreases in wet regions also result in a discrepancy between functional and structural changes under severe drought. We find similar patterns of physiological drought response using simulations from a soil-plant-atmosphere continuum model coupled with a radiative transfer model. Observation-derived vegetation physiological responses to drought across space are mainly controlled by aridity and additionally modulated by abnormal hydro-meteorological conditions and vegetation types. Hence, isolating and quantifying vegetation physiological responses to drought enables a better understanding of ecosystem biogeochemical and biophysical feedback in modulating climate change.
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Affiliation(s)
- Wantong Li
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
| | - Javier Pacheco-Labrador
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
| | | | - Diego Miralles
- Hydro-Climate Extremes Lab (H-CEL), Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Anne Hoek van Dijke
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Markus Reichstein
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
- Integrative Center for Biodiversity Research (iDIV), Leipzig, Germany
| | - Matthias Forkel
- Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Dresden, Germany
| | - Weijie Zhang
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Christian Frankenberg
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA
| | - Annu Panwar
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Qian Zhang
- School of Geomatics Science and Technology, Nanjing Tech University, Nanjing, China
| | - Ulrich Weber
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Pierre Gentine
- Department of Earth and Environmental Engineering, Columbia University, New York, NY, 10027, USA
| | - Rene Orth
- Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
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10
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Baxter AJ, Verschuren D, Peterse F, Miralles DG, Martin-Jones CM, Maitituerdi A, Van der Meeren T, Van Daele M, Lane CS, Haug GH, Olago DO, Sinninghe Damsté JS. Reversed Holocene temperature-moisture relationship in the Horn of Africa. Nature 2023; 620:336-343. [PMID: 37558848 PMCID: PMC10412447 DOI: 10.1038/s41586-023-06272-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 05/25/2023] [Indexed: 08/11/2023]
Abstract
Anthropogenic climate change is predicted to severely impact the global hydrological cycle1, particularly in tropical regions where agriculture-based economies depend on monsoon rainfall2. In the Horn of Africa, more frequent drought conditions in recent decades3,4 contrast with climate models projecting precipitation to increase with rising temperature5. Here we use organic geochemical climate-proxy data from the sediment record of Lake Chala (Kenya and Tanzania) to probe the stability of the link between hydroclimate and temperature over approximately the past 75,000 years, hence encompassing a sufficiently wide range of temperatures to test the 'dry gets drier, wet gets wetter' paradigm6 of anthropogenic climate change in the time domain. We show that the positive relationship between effective moisture and temperature in easternmost Africa during the cooler last glacial period shifted to negative around the onset of the Holocene 11,700 years ago, when the atmospheric carbon dioxide concentration exceeded 250 parts per million and mean annual temperature approached modern-day values. Thus, at that time, the budget between monsoonal precipitation and continental evaporation7 crossed a tipping point such that the positive influence of temperature on evaporation became greater than its positive influence on precipitation. Our results imply that under continued anthropogenic warming, the Horn of Africa will probably experience further drying, and they highlight the need for improved simulation of both dynamic and thermodynamic processes in the tropical hydrological cycle.
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Affiliation(s)
- A J Baxter
- Department of Earth Sciences, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands.
| | - D Verschuren
- Department of Biology, Limnology Unit, Ghent University, Gent, Belgium
| | - F Peterse
- Department of Earth Sciences, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands
| | - D G Miralles
- Department of Environment, Hydro-Climate Extremes Lab (H-CEL), Ghent University, Gent, Belgium
| | | | - A Maitituerdi
- Dr. Moses Strauss Department of Marine Geosciences, Leon H. Charney School of Marine Sciences, University of Haifa, Mount Carmel, Israel
| | - T Van der Meeren
- Department of Biology, Limnology Unit, Ghent University, Gent, Belgium
| | - M Van Daele
- Renard Centre of Marine Geology, Department of Geology, Ghent University, Gent, Belgium
| | - C S Lane
- Department of Geography, University of Cambridge, Cambridge, UK
| | - G H Haug
- Department of Climate Geochemistry, Max Planck Institute for Chemistry, Mainz, Germany
| | - D O Olago
- Institute for Climate Change and Adaptation, Department of Earth and Climate Science, University of Nairobi, Nairobi, Kenya
| | - J S Sinninghe Damsté
- Department of Earth Sciences, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands
- Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
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11
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Li H, Keune J, Smessaert F, Nieto R, Gimeno L, Miralles DG. Land-atmosphere feedbacks contribute to crop failure in global rainfed breadbaskets. NPJ CLIMATE AND ATMOSPHERIC SCIENCE 2023; 6:51. [PMID: 38665267 PMCID: PMC11041704 DOI: 10.1038/s41612-023-00375-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 05/16/2023] [Indexed: 04/28/2024]
Abstract
Global crop yields are highly dependent on climate variability, with the largest agricultural failures frequently occurring during extremely dry and hot years. Land-atmosphere feedbacks are thought to play a crucial role in agricultural productivity during such events: precipitation deficits cause soil desiccation, which reduces evaporation and enhances sensible heating from the land surface; the amplified local temperatures and moisture deficits can be detrimental to crop yield. While this impact of local land-atmosphere feedbacks on agricultural productivity has recently been reported, the dependency of crop yields on upwind regions remains understudied. Here, we determine the spatio-temporal origins of moisture and heat over the world's largest 75 rainfed breadbaskets, and illustrate the crop yield dependency on upwind regions. Further, we disentangle the role of local and upwind land-atmosphere interactions on anomalous moisture and heat transport during low-yield years. Our results indicate that crop failure increases on average by around 40% when both upwind and local land-atmosphere feedbacks cause anomalously low moisture and high heat transport into the breadbaskets. The impact of upwind land-atmosphere feedbacks on productivity deficits is the largest in water-limited regions, which show an increased dependency on moisture supply from upwind land areas. Better understanding these upwind-downwind dependencies in agricultural regions can help develop adaptation strategies to prevent food shortage in a changing climate.
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Affiliation(s)
- Hao Li
- Hydro-Climate Extremes Lab, Ghent University, Ghent, Belgium
| | - Jessica Keune
- Hydro-Climate Extremes Lab, Ghent University, Ghent, Belgium
| | - Femke Smessaert
- Hydro-Climate Extremes Lab, Ghent University, Ghent, Belgium
| | - Raquel Nieto
- Environmental Physics Laboratory (EPhysLab), Universidade de Vigo, Ourense, Spain
| | - Luis Gimeno
- Environmental Physics Laboratory (EPhysLab), Universidade de Vigo, Ourense, Spain
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12
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Hsu H, Dirmeyer PA. Soil moisture-evaporation coupling shifts into new gears under increasing CO 2. Nat Commun 2023; 14:1162. [PMID: 36859397 PMCID: PMC9977744 DOI: 10.1038/s41467-023-36794-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 02/16/2023] [Indexed: 03/03/2023] Open
Abstract
When soil moisture (SM) content falls within a transitional regime between dry and wet conditions, it controls evaporation, affecting atmospheric heat and humidity. Accordingly, different SM regimes correspond to different gears of land-atmosphere coupling, affecting climate. Determining patterns of SM regimes and their future evolution is imperative. Here, we examine global SM regime distributions from ten climate models. Under increasing CO2, the range of SM extends into unprecedented coupling regimes in many locations. Solely wet regime areas decline globally by 15.9%, while transitional regimes emerge in currently humid areas of the tropics and high latitudes. Many semiarid regions spend more days in the transitional regime and fewer in the dry regime. These imply that a larger fraction of the world will evolve to experience multiple gears of land-atmosphere coupling, with the strongly coupled transitional regime expanding the most. This could amplify future climate sensitivity to land-atmosphere feedbacks and land management.
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Affiliation(s)
- Hsin Hsu
- George Mason University, Fairfax, VA, USA.
| | - Paul A. Dirmeyer
- grid.22448.380000 0004 1936 8032George Mason University, Fairfax, VA USA ,grid.22448.380000 0004 1936 8032Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, VA USA
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13
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Climate warming and summer monsoon breaks drive compound dry and hot extremes in India. iScience 2022; 25:105377. [PMID: 36345335 PMCID: PMC9636558 DOI: 10.1016/j.isci.2022.105377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 09/05/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Abstract
Considering the severe impacts of compound dry and hot extremes, we examine the primary drivers of CDHEs during the summer monsoon in India. Using ERA5 reanalysis, we show that most of the CDHEs in India occur during the droughts caused by the summer monsoon rainfall deficit. Despite a decline in the frequency of summer monsoon droughts in recent decades, increased CDHEs are mainly driven by warming and dry spells during the summer monsoon particularly in the Northeast, central northeast, and west central regions. A strong land-atmospheric coupling during droughts in the summer monsoon season leads to frequent CDHEs in the Northwest and southern peninsular regions. Furthermore, regional variations in land-atmospheric coupling cause substantial differences in the CDHE occurrence in different parts of the country. Summer monsoon rainfall variability and increased warming can pose a greater risk of compound dry and hot extremes with severe impacts on various sectors in India. CDHEs have increased in the observed period despite a decline in droughts in India CDHEs are largely driven by the rise in dry and warm spells during the monsoon season Regional variations in CDHEs are linked with the changes in land-atmospheric coupling
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14
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Libonati R, Geirinhas JL, Silva PS, Monteiro Dos Santos D, Rodrigues JA, Russo A, Peres LF, Narcizo L, Gomes MER, Rodrigues AP, DaCamara CC, Pereira JMC, Trigo RM. Drought-heatwave nexus in Brazil and related impacts on health and fires: A comprehensive review. Ann N Y Acad Sci 2022; 1517:44-62. [PMID: 36052446 DOI: 10.1111/nyas.14887] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Climate change is drastically altering the frequency, duration, and severity of compound drought-heatwave (CDHW) episodes, which present a new challenge in environmental and socioeconomic sectors. These threats are of particular importance in low-income regions with growing populations, fragile infrastructure, and threatened ecosystems. This review synthesizes emerging progress in the understanding of CDHW patterns in Brazil while providing insights about the impacts on fire occurrence and public health. Evidence is mounting that heatwaves are becoming increasingly linked with droughts in northeastern and southeastern Brazil, the Amazonia, and the Pantanal. In those regions, recent studies have begun to build a better understanding of the physical mechanisms behind CDHW events, such as the soil moisture-atmosphere coupling, promoted by exceptional atmospheric blocking conditions. Results hint at a synergy between CDHW events and high fire activity in the country over the last decades, with the most recent example being the catastrophic 2020 fires in the Pantanal. Moreover, we show that HWs were responsible for increasing mortality and preterm births during record-breaking droughts in southeastern Brazil. This work paves the way for a more in-depth understanding on CDHW events and their impacts, which is crucial to enhance the adaptive capacity of different Brazilian sectors.
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Affiliation(s)
- Renata Libonati
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.,Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.,Forest Research Centre, School of Agriculture, University of Lisbon, Lisbon, Portugal
| | - João L Geirinhas
- Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Patrícia S Silva
- Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | | | - Julia A Rodrigues
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ana Russo
- Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Leonardo F Peres
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Luiza Narcizo
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Monique E R Gomes
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Andreza P Rodrigues
- Escola de Enfermagem Anna Nery, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Carlos C DaCamara
- Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - José Miguel C Pereira
- Forest Research Centre, School of Agriculture, University of Lisbon, Lisbon, Portugal.,TERRA Associate Laboratory, Tapada da Ajuda, Portugal
| | - Ricardo M Trigo
- Departamento de Meteorologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.,Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
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