Pub Date : 2023-10-27DOI: 10.1007/s10584-023-03628-8
Mustafa Javed, Iulii Didovets, Jürgen Böhner, Shabeh ul Hasson
Abstract Amid a heated debate on what are possible and what are plausible climate futures, ascertaining evident changes that are attributable to historical climate change can provide a clear understanding of how warmer climates will shape our future habitability. Hence, we detect changes in the streamflow simulated using three different datasets for the historical period (1901–2019) and analyze whether these changes can be attributed to observed climate change. For this, we first calibrate and validate the Soil and Water Integrated Model and then force it with factual (observed) and counterfactual (baseline) climates presented in the Inter-Sectoral Impact Model Intercomparison Project Phase 3a protocol. We assessed the differences in simulated streamflow driven by the factual and counterfactual climates by comparing their trend changes ascertained using the Modified Mann–Kendall test on monthly, seasonal, and annual timescales. In contrast to no trend for counterfactual climate, our results suggest that mean annual streamflow under factual climate features statistically significant decreasing trends, which are − 5.6, − 3.9, and − 1.9 m 3 s −1 for the 20CRv3-w5e5, 20CRv3, and GSWP3-w5e5 datasets, respectively. Such trends, which are more pronounced after the 1960s, for summer, and for high flows can be attributed to the weakening of the monsoonal precipitation regime in the factual climate. Further, discharge volumes in the recent factual climate dropped compared to the early twentieth-century climate, especially prominently during summer and mainly for high flows whereas earlier shifts found in the center of volume timings are due to early shifts in the nival regime. These findings clearly suggest a critical role of monsoonal precipitation in disrupting the hydrological regime of the Jhelum River basin in the future.
{"title":"Attributing historical streamflow changes in the Jhelum River basin to climate change","authors":"Mustafa Javed, Iulii Didovets, Jürgen Böhner, Shabeh ul Hasson","doi":"10.1007/s10584-023-03628-8","DOIUrl":"https://doi.org/10.1007/s10584-023-03628-8","url":null,"abstract":"Abstract Amid a heated debate on what are possible and what are plausible climate futures, ascertaining evident changes that are attributable to historical climate change can provide a clear understanding of how warmer climates will shape our future habitability. Hence, we detect changes in the streamflow simulated using three different datasets for the historical period (1901–2019) and analyze whether these changes can be attributed to observed climate change. For this, we first calibrate and validate the Soil and Water Integrated Model and then force it with factual (observed) and counterfactual (baseline) climates presented in the Inter-Sectoral Impact Model Intercomparison Project Phase 3a protocol. We assessed the differences in simulated streamflow driven by the factual and counterfactual climates by comparing their trend changes ascertained using the Modified Mann–Kendall test on monthly, seasonal, and annual timescales. In contrast to no trend for counterfactual climate, our results suggest that mean annual streamflow under factual climate features statistically significant decreasing trends, which are − 5.6, − 3.9, and − 1.9 m 3 s −1 for the 20CRv3-w5e5, 20CRv3, and GSWP3-w5e5 datasets, respectively. Such trends, which are more pronounced after the 1960s, for summer, and for high flows can be attributed to the weakening of the monsoonal precipitation regime in the factual climate. Further, discharge volumes in the recent factual climate dropped compared to the early twentieth-century climate, especially prominently during summer and mainly for high flows whereas earlier shifts found in the center of volume timings are due to early shifts in the nival regime. These findings clearly suggest a critical role of monsoonal precipitation in disrupting the hydrological regime of the Jhelum River basin in the future.","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"65 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136261647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1007/s10584-023-03626-w
Olga Nasonova, Yeugeniy Gusev, Evgeny Kovalev
{"title":"Detection and attribution of changes in streamflow and snowpack in Arctic river basins","authors":"Olga Nasonova, Yeugeniy Gusev, Evgeny Kovalev","doi":"10.1007/s10584-023-03626-w","DOIUrl":"https://doi.org/10.1007/s10584-023-03626-w","url":null,"abstract":"","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"44 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135170651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-24DOI: 10.1007/s10584-023-03620-2
Xueting Jiang, David I. Stern
Abstract Previous research shows that, in the USA, the elasticity of carbon emissions with respect to GDP is greater when GDP declines than when GDP increases. Using monthly US data, we examine each individual recession since 1973. We find asymmetric changes in carbon emissions in the 1973–1975, 1980, 1990–1991, and 2020 recessions but not in the 1981–1982, 2001, or 2008–2009 recessions. The former four recessions are associated with negative oil market shocks. In the first three, there was a supply shock and in 2020, a demand shock. Changes in oil consumption that are not explained by changes in GDP explain these asymmetries. Furthermore, the asymmetries are due to emissions in the transport and industrial sectors, which are the main consumers of oil. We conclude that emissions behaved similarly in 2020 to the way they did in recessions associated with oil supply shocks, but, actually, this pattern is not inherent to the business cycle itself.
{"title":"Asymmetric business cycle changes in US carbon emissions and oil market shocks","authors":"Xueting Jiang, David I. Stern","doi":"10.1007/s10584-023-03620-2","DOIUrl":"https://doi.org/10.1007/s10584-023-03620-2","url":null,"abstract":"Abstract Previous research shows that, in the USA, the elasticity of carbon emissions with respect to GDP is greater when GDP declines than when GDP increases. Using monthly US data, we examine each individual recession since 1973. We find asymmetric changes in carbon emissions in the 1973–1975, 1980, 1990–1991, and 2020 recessions but not in the 1981–1982, 2001, or 2008–2009 recessions. The former four recessions are associated with negative oil market shocks. In the first three, there was a supply shock and in 2020, a demand shock. Changes in oil consumption that are not explained by changes in GDP explain these asymmetries. Furthermore, the asymmetries are due to emissions in the transport and industrial sectors, which are the main consumers of oil. We conclude that emissions behaved similarly in 2020 to the way they did in recessions associated with oil supply shocks, but, actually, this pattern is not inherent to the business cycle itself.","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"4 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135219378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-19DOI: 10.1007/s10584-023-03619-9
Fanny Groundstroem
Abstract The world is currently in the midst of an energy transition, in which renewable and low-carbon energy is replacing the use of fossil fuels. Along the way, however, planning for and adapting to impacts of climate change is urgently needed, as these are projected to intensify in the future, despite ambitious mitigation efforts. Since the low-carbon energy transition is likely to involve many international interdependencies and connections between countries and regions, assessments of cross-border impacts of climate change, i.e., consequences of climate change that occur remotely from the location of their initial impact, are of utmost importance to ensure the decarbonisation of society is safe and sustainable. This paper utilises expert interviews and a general morphological analysis with the shared socioeconomic pathways to situate national decarbonisation efforts within a global context and identify cross-border impacts of climate change that may affect the energy transition, using the Finnish energy sector as a case study. Interestingly, many of the global development trends that were found to have a boosting effect on the Finnish energy transition, also increased the risk from cross-border climate change impacts, stressing the importance of rigorous adaptation planning. The findings affirm the need for studying national energy transitions from a global perspective and highlight the tendency of climate change impacts to be transmitted across borders via complex pathways. The study offers valuable insights into the importance of cross-border impacts for adaptation planning pertinent to any country or region currently engaged, or planning to engage, in the global low-carbon transition.
{"title":"Cross-border impacts of climate change affect the energy transition: Insights from the Finnish energy sector","authors":"Fanny Groundstroem","doi":"10.1007/s10584-023-03619-9","DOIUrl":"https://doi.org/10.1007/s10584-023-03619-9","url":null,"abstract":"Abstract The world is currently in the midst of an energy transition, in which renewable and low-carbon energy is replacing the use of fossil fuels. Along the way, however, planning for and adapting to impacts of climate change is urgently needed, as these are projected to intensify in the future, despite ambitious mitigation efforts. Since the low-carbon energy transition is likely to involve many international interdependencies and connections between countries and regions, assessments of cross-border impacts of climate change, i.e., consequences of climate change that occur remotely from the location of their initial impact, are of utmost importance to ensure the decarbonisation of society is safe and sustainable. This paper utilises expert interviews and a general morphological analysis with the shared socioeconomic pathways to situate national decarbonisation efforts within a global context and identify cross-border impacts of climate change that may affect the energy transition, using the Finnish energy sector as a case study. Interestingly, many of the global development trends that were found to have a boosting effect on the Finnish energy transition, also increased the risk from cross-border climate change impacts, stressing the importance of rigorous adaptation planning. The findings affirm the need for studying national energy transitions from a global perspective and highlight the tendency of climate change impacts to be transmitted across borders via complex pathways. The study offers valuable insights into the importance of cross-border impacts for adaptation planning pertinent to any country or region currently engaged, or planning to engage, in the global low-carbon transition.","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135778561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-17DOI: 10.1007/s10584-023-03617-x
Ruben Dahm, Karen Meijer, Ernst Kuneman, Louise van Schaik
Abstract This paper explores the operationalization of climate-related indicators in violent conflict research. The climate-conflict narrative gained traction in recent decades and climate change is often referred to as a ‘threat multiplier’ by both policy makers and scholars. Yet, the relationships between climate-related phenomena and violent conflict are complex and context-specific. However, limited attention has been given to the climatic indicators applied in climate-conflict research. This paper addresses that gap by analyzing 32 studies published from 2004 to 2020 on the operationalization of climatic indicators and their relationship with violent conflict. It first categorizes climate indicators operationalization into five clusters: natural disasters, basic climate variability, advanced climate variability, freshwater availability, and the ENSO. The study evaluates the climate indicators for each cluster and shows that at an aggregate level these clusters examine 68 different climate representations. When paired with their respective conflict types, it finds a total of 113 climate-conflict combinations. Most operationalizations represent various forms of climate-related phenomena and variability rather than climate change. Some indicators are advancements over time, for example moving from changes in average rainfall to standardized precipitation indices. However, other indicators refer to various natural processes, making it challenging to determine whether climatic variability impacts conflict. The paper then demonstrates a discrepancy between the pathways through which climate may affect violent conflict and the representation of these pathways in the selected climate indicators. It discusses how the selection and operationalization of climate indicators requires careful consideration, and the phenomena researched should be well-specified in research findings.
{"title":"What climate? The different meaning of climate indicators in violent conflict studies","authors":"Ruben Dahm, Karen Meijer, Ernst Kuneman, Louise van Schaik","doi":"10.1007/s10584-023-03617-x","DOIUrl":"https://doi.org/10.1007/s10584-023-03617-x","url":null,"abstract":"Abstract This paper explores the operationalization of climate-related indicators in violent conflict research. The climate-conflict narrative gained traction in recent decades and climate change is often referred to as a ‘threat multiplier’ by both policy makers and scholars. Yet, the relationships between climate-related phenomena and violent conflict are complex and context-specific. However, limited attention has been given to the climatic indicators applied in climate-conflict research. This paper addresses that gap by analyzing 32 studies published from 2004 to 2020 on the operationalization of climatic indicators and their relationship with violent conflict. It first categorizes climate indicators operationalization into five clusters: natural disasters, basic climate variability, advanced climate variability, freshwater availability, and the ENSO. The study evaluates the climate indicators for each cluster and shows that at an aggregate level these clusters examine 68 different climate representations. When paired with their respective conflict types, it finds a total of 113 climate-conflict combinations. Most operationalizations represent various forms of climate-related phenomena and variability rather than climate change. Some indicators are advancements over time, for example moving from changes in average rainfall to standardized precipitation indices. However, other indicators refer to various natural processes, making it challenging to determine whether climatic variability impacts conflict. The paper then demonstrates a discrepancy between the pathways through which climate may affect violent conflict and the representation of these pathways in the selected climate indicators. It discusses how the selection and operationalization of climate indicators requires careful consideration, and the phenomena researched should be well-specified in research findings.","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135992617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1007/s10584-023-03611-3
Jonathan D. Moyer, Audrey Pirzadeh, Mohammod Irfan, José Solórzano, Barbara Stone, Yutang Xiong, Taylor Hanna, Barry B. Hughes
Abstract Fossil fuel-based economic development both causes climate change and contributes to poverty alleviation, creating tensions across societal efforts to maintain growth, limit climate damage, and improve human development. While many studies explore key aspects of this dilemma, few direct attention to the pathways from climate change through socioeconomic development to the future of poverty. We build on projections of global temperature change (representative concentration pathways) and country-specific economic development (economic growth and income distribution across the shared socioeconomic pathways) to model how climate change may affect future poverty with the International Futures (IFs) model, projecting poverty across income thresholds for 175 countries through 2070. Central tendency scenarios with climate effects compared with scenarios that do not model climate change show that climate change-attributable extreme poverty will grow to 25 million people by 2030 (range: 18 to 30), 40 million by 2050 (range: 9 to 78), and 32 million by 2070 (range: 4 to 130) though overall levels of global poverty decline. If climatic tipping points are passed, the climate-attributable extreme poverty grows to 57 million people by 2030 (range: 40–72), 78 million by 2050 (range: 18–193), and 56 million by 2070 (range: 7–306). To mitigate baseline effects of climate change on extreme poverty, an improvement of global income inequality of 10% is required (range: 5–15%).
{"title":"How many people will live in poverty because of climate change? A macro-level projection analysis to 2070","authors":"Jonathan D. Moyer, Audrey Pirzadeh, Mohammod Irfan, José Solórzano, Barbara Stone, Yutang Xiong, Taylor Hanna, Barry B. Hughes","doi":"10.1007/s10584-023-03611-3","DOIUrl":"https://doi.org/10.1007/s10584-023-03611-3","url":null,"abstract":"Abstract Fossil fuel-based economic development both causes climate change and contributes to poverty alleviation, creating tensions across societal efforts to maintain growth, limit climate damage, and improve human development. While many studies explore key aspects of this dilemma, few direct attention to the pathways from climate change through socioeconomic development to the future of poverty. We build on projections of global temperature change (representative concentration pathways) and country-specific economic development (economic growth and income distribution across the shared socioeconomic pathways) to model how climate change may affect future poverty with the International Futures (IFs) model, projecting poverty across income thresholds for 175 countries through 2070. Central tendency scenarios with climate effects compared with scenarios that do not model climate change show that climate change-attributable extreme poverty will grow to 25 million people by 2030 (range: 18 to 30), 40 million by 2050 (range: 9 to 78), and 32 million by 2070 (range: 4 to 130) though overall levels of global poverty decline. If climatic tipping points are passed, the climate-attributable extreme poverty grows to 57 million people by 2030 (range: 40–72), 78 million by 2050 (range: 18–193), and 56 million by 2070 (range: 7–306). To mitigate baseline effects of climate change on extreme poverty, an improvement of global income inequality of 10% is required (range: 5–15%).","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135458200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1007/s10584-023-03618-w
Neethu C, K V Ramesh
{"title":"Projected changes in heat wave characteristics over India","authors":"Neethu C, K V Ramesh","doi":"10.1007/s10584-023-03618-w","DOIUrl":"https://doi.org/10.1007/s10584-023-03618-w","url":null,"abstract":"","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135707693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1007/s10584-023-03612-2
Todd L. Cherry, Stephan Kroll, David M. McEvoy
{"title":"Climate cooperation with risky solar geoengineering","authors":"Todd L. Cherry, Stephan Kroll, David M. McEvoy","doi":"10.1007/s10584-023-03612-2","DOIUrl":"https://doi.org/10.1007/s10584-023-03612-2","url":null,"abstract":"","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135457242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1007/s10584-023-03616-y
Gbêtondji Melaine Armel Nonvide
{"title":"Does land security matter in adapting to climate change? an empirical evidence from Benin","authors":"Gbêtondji Melaine Armel Nonvide","doi":"10.1007/s10584-023-03616-y","DOIUrl":"https://doi.org/10.1007/s10584-023-03616-y","url":null,"abstract":"","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135605832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-01DOI: 10.1007/s10584-023-03604-2
Piergiuseppe Pezzoli, Johannes Emmerling, Massimo Tavoni
Abstract Geoengineering, including solar radiation management (SRM), has received increasing scrutiny due to the rise of climate extremes and slow progress in mitigating global carbon emissions. This climate policy option, even as a possibility, can have consequential implications for international climate governance. Here, we study how solar engineering affects the effectiveness and stability of a large set of regional coalitions through numerical simulations. We posit a requirement in terms of global political or economic power and analyze the exclusive membership coalition formation process when coalitions jointly decide on geoengineering and mitigation. We show that geoengineering can provide incentives for cooperation and partially solve the typical trade-off between stability and effectiveness of climate coalitions. However, temperature reduction mostly comes from deploying SRM within the coalition rather than from further emission reductions, thus exposing the world to relatively large-scale deployment of SRM with as of today uncertain potential side effects and risks.
{"title":"SRM on the table: the role of geoengineering for the stability and effectiveness of climate coalitions","authors":"Piergiuseppe Pezzoli, Johannes Emmerling, Massimo Tavoni","doi":"10.1007/s10584-023-03604-2","DOIUrl":"https://doi.org/10.1007/s10584-023-03604-2","url":null,"abstract":"Abstract Geoengineering, including solar radiation management (SRM), has received increasing scrutiny due to the rise of climate extremes and slow progress in mitigating global carbon emissions. This climate policy option, even as a possibility, can have consequential implications for international climate governance. Here, we study how solar engineering affects the effectiveness and stability of a large set of regional coalitions through numerical simulations. We posit a requirement in terms of global political or economic power and analyze the exclusive membership coalition formation process when coalitions jointly decide on geoengineering and mitigation. We show that geoengineering can provide incentives for cooperation and partially solve the typical trade-off between stability and effectiveness of climate coalitions. However, temperature reduction mostly comes from deploying SRM within the coalition rather than from further emission reductions, thus exposing the world to relatively large-scale deployment of SRM with as of today uncertain potential side effects and risks.","PeriodicalId":10372,"journal":{"name":"Climatic Change","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134977470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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