GSTDTAP

浏览/检索结果: 共14条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
世界银行发布《气候变化背景下城市绿色、韧性与包容发展》 快报文章
资源环境快报,2023年第10期
作者:  李恒吉
Microsoft Word(21Kb)  |  收藏  |  浏览/下载:599/0  |  提交时间:2023/06/01
Urban development  Climate change risks  Sustainable development  
美研究指出气候风险导致森林碳储存具有较大不确定性 快报文章
气候变化快报,2023年第08期
作者:  刘莉娜
Microsoft Word(15Kb)  |  收藏  |  浏览/下载:510/0  |  提交时间:2023/04/20
Forest  Carbon Storage  Climate Risks  
世界经济论坛发布《2023年全球风险报告》 快报文章
气候变化快报,2023年第3期
作者:  刘燕飞
Microsoft Word(16Kb)  |  收藏  |  浏览/下载:711/0  |  提交时间:2023/02/05
Global Risks  Mitigate Climate Change  Climate-change Adaptation  Natural Disasters and Extreme Weather Events  
WEF报告指出气候行动不力是全球面临的最大长期威胁 快报文章
气候变化快报,2022年第03期
作者:  廖琴
Microsoft Word(18Kb)  |  收藏  |  浏览/下载:853/0  |  提交时间:2022/02/06
Global Risks  Extreme Weather  Climate Action Failure  Environmental Risks  
澳科学院分析升温3℃对本国的影响并提出应对建议 快报文章
气候变化快报,2021年第8期
作者:  裴惠娟
Microsoft Word(16Kb)  |  收藏  |  浏览/下载:422/0  |  提交时间:2021/04/20
climate change  climate risks  impacts  
查塔姆研究所解读英国如何将全球安全纳入其气候战略 快报文章
气候变化快报,2021年第5期
作者:  董利苹
Microsoft Word(15Kb)  |  收藏  |  浏览/下载:483/0  |  提交时间:2021/03/05
Mitigating the Climate Change Risks  Global Security  UK leadership  
WEF风险报告将环境风险确认为未来10年的首要问题 快报文章
气候变化快报,2021年第4期
作者:  刘燕飞
Microsoft Word(14Kb)  |  收藏  |  浏览/下载:526/0  |  提交时间:2021/02/20
Global Risks  COVID-19  climate action  
国际研究探讨利用森林减缓气候变化面临的风险 快报文章
气候变化快报,2020年第14期
作者:  裴惠娟
Microsoft Word(14Kb)  |  收藏  |  浏览/下载:365/0  |  提交时间:2020/07/20
Forest  Climate Mitigation Potential  Risks  
The projected timing of abrupt ecological disruption from climate change 期刊论文
NATURE, 2020, 580 (7804) : 496-+
作者:  Gorgulla, Christoph;  Boeszoermenyi, Andras;  Wang, Zi-Fu;  Fischer, Patrick D.;  Coote, Paul W.;  Padmanabha Das, Krishna M.;  Malets, Yehor S.;  Radchenko, Dmytro S.;  Moroz, Yurii S.;  Scott, David A.;  Fackeldey, Konstantin;  Hoffmann, Moritz;  Iavniuk, Iryna;  Wagner, Gerhard;  Arthanari, Haribabu
收藏  |  浏览/下载:53/0  |  提交时间:2020/05/13

As anthropogenic climate change continues the risks to biodiversity will increase over time, with future projections indicating that a potentially catastrophic loss of global biodiversity is on the horizon(1-3). However, our understanding of when and how abruptly this climate-driven disruption of biodiversity will occur is limited because biodiversity forecasts typically focus on individual snapshots of the future. Here we use annual projections (from 1850 to 2100) of temperature and precipitation across the ranges of more than 30,000 marine and terrestrial species to estimate the timing of their exposure to potentially dangerous climate conditions. We project that future disruption of ecological assemblages as a result of climate change will be abrupt, because within any given ecological assemblage the exposure of most species to climate conditions beyond their realized niche limits occurs almost simultaneously. Under a high-emissions scenario (representative concentration pathway (RCP) 8.5), such abrupt exposure events begin before 2030 in tropical oceans and spread to tropical forests and higher latitudes by 2050. If global warming is kept below 2 degrees C, less than 2% of assemblages globally are projected to undergo abrupt exposure events of more than 20% of their constituent species  however, the risk accelerates with the magnitude of warming, threatening 15% of assemblages at 4 degrees C, with similar levels of risk in protected and unprotected areas. These results highlight the impending risk of sudden and severe biodiversity losses from climate change and provide a framework for predicting both when and where these events may occur.


Using annual projections of temperature and precipitation to estimate when species will be exposed to potentially harmful climate conditions reveals that disruption of ecological assemblages as a result of climate change will be abrupt and could start as early as the current decade.


  
Coupling of Indo-Pacific climate variability over the last millennium 期刊论文
NATURE, 2020
作者:  Chow, Brian W.;  Nunez, Vicente;  Kaplan, Luke;  Granger, Adam J.;  Bistrong, Karina;  Zucker, Hannah L.;  Kumar, Payal;  Sabatini, Bernardo L.;  Gu, Chenghua
收藏  |  浏览/下载:33/0  |  提交时间:2020/05/13

Coral records indicate that the variability of the Indian Ocean Dipole over the last millennium is strongly coupled to variability in the El Nino/Southern Oscillation and that recent extremes are unusual but not unprecedented.


The Indian Ocean Dipole (IOD) affects climate and rainfall across the world, and most severely in nations surrounding the Indian Ocean(1-4). The frequency and intensity of positive IOD events increased during the twentieth century(5) and may continue to intensify in a warming world(6). However, confidence in predictions of future IOD change is limited by known biases in IOD models(7) and the lack of information on natural IOD variability before anthropogenic climate change. Here we use precisely dated and highly resolved coral records from the eastern equatorial Indian Ocean, where the signature of IOD variability is strong and unambiguous, to produce a semi-continuous reconstruction of IOD variability that covers five centuries of the last millennium. Our reconstruction demonstrates that extreme positive IOD events were rare before 1960. However, the most extreme event on record (1997) is not unprecedented, because at least one event that was approximately 27 to 42 per cent larger occurred naturally during the seventeenth century. We further show that a persistent, tight coupling existed between the variability of the IOD and the El Nino/Southern Oscillation during the last millennium. Indo-Pacific coupling was characterized by weak interannual variability before approximately 1590, which probably altered teleconnection patterns, and by anomalously strong variability during the seventeenth century, which was associated with societal upheaval in tropical Asia. A tendency towards clustering of positive IOD events is evident in our reconstruction, which-together with the identification of extreme IOD variability and persistent tropical Indo-Pacific climate coupling-may have implications for improving seasonal and decadal predictions and managing the climate risks of future IOD variability.