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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:56/0  |  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.


  
Growing stocks of buildings, infrastructures and machinery as key challenge for compliance with climate targets 期刊论文
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2020, 61
作者:  Krausmann, Fridolin;  Wiedenhofer, Dominik;  Haberl, Helmut
收藏  |  浏览/下载:21/0  |  提交时间:2020/07/02
Social metabolism  Material and energy flow analysis  Material stocks  Climate-change mitigation  SSP scenario  Low-carbon living  
Mass balance of the Greenland Ice Sheet from 1992 to 2018 期刊论文
NATURE, 2020, 579 (7798) : 233-+
作者:  Scudellari, Megan
收藏  |  浏览/下载:11/0  |  提交时间:2020/04/16

The Greenland Ice Sheet has been a major contributor to global sea-level rise in recent decades(1,2), and it is expected to continue to be so(3). Although increases in glacier flow(4-6) and surface melting(7-9) have been driven by oceanic(10-12) and atmospheric(13,14) warming, the magnitude and trajectory of the ice sheet'  s mass imbalance remain uncertain. Here we compare and combine 26 individual satellite measurements of changes in the ice sheet'  s volume, flow and gravitational potential to produce a reconciled estimate of its mass balance. The ice sheet was close to a state of balance in the 1990s, but annual losses have risen since then, peaking at 345 +/- 66 billion tonnes per year in 2011. In all, Greenland lost 3,902 +/- 342 billion tonnes of ice between 1992 and 2018, causing the mean sea level to rise by 10.8 +/- 0.9 millimetres. Using three regional climate models, we show that the reduced surface mass balance has driven 1,964 +/- 565 billion tonnes (50.3 per cent) of the ice loss owing to increased meltwater runoff. The remaining 1,938 +/- 541 billion tonnes (49.7 per cent) of ice loss was due to increased glacier dynamical imbalance, which rose from 46 +/- 37 billion tonnes per year in the 1990s to 87 +/- 25 billion tonnes per year since then. The total rate of ice loss slowed to 222 +/- 30 billion tonnes per year between 2013 and 2017, on average, as atmospheric circulation favoured cooler conditions(15) and ocean temperatures fell at the terminus of Jakobshavn Isbr AE(16). Cumulative ice losses from Greenland as a whole have been close to the rates predicted by the Intergovernmental Panel on Climate Change for their high-end climate warming scenario(17), which forecast an additional 70 to 130 millimetres of global sea-level rise by 2100 compared with their central estimate.


  
Future evolution of Marine Heatwaves in the Mediterranean Sea 期刊论文
CLIMATE DYNAMICS, 2019, 53: 1371-1392
作者:  Darmaraki, Sofia;  Somot, Samuel;  Sevault, Florence;  Nabat, Pierre;  Narvaez, William David Cabos;  Cavicchia, Leone;  Djurdjevic, Vladimir;  Li, Laurent;  Sannino, Gianmaria;  Sein, Dmitry V.
收藏  |  浏览/下载:13/0  |  提交时间:2019/11/27
Marine Heatwaves  Mediterranean Sea  Coupled regional climate models  Future scenario  Extreme ocean temperatures  Med-CORDEX  Climate change  Climate simulations  
A techno-economic and environmental assessment of long-term energy policies and climate variability impact on the energy system 期刊论文
ENERGY POLICY, 2019, 128: 329-346
作者:  Emodi, Nnaemeka Vincent;  Chaiechi, Taha;  Beg, A. B. M. Rabiul Alam
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/26
Climate variability and change  Australia  LEAP  Energy policies  Emission reduction  Scenario analysis  
Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis 期刊论文
ENERGY POLICY, 2019, 128: 752-762
作者:  Xu, Guangyue;  Schwarz, Peter;  Yang, Hualiu
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/26
CO2 emissions peak  Dynamic ANN  Scenario analysis  Mean impact value (MIV)  Global climate change  
Quantitative scenarios for future hydrologic extremes in the US Southern Great Plains 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (5) : 2659-2676
作者:  Mullens, Esther D.;  McPherson, Renee A.
收藏  |  浏览/下载:4/0  |  提交时间:2019/11/26
climate change  drought  extreme precipitation  regional projections  scenario planning  statistical downscaling  
A method for investigating the relative importance of three components in overall uncertainty of climate projections 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (4) : 1853-1871
作者:  Zhuan, Meijia;  Chen, Jie;  Xu, Chong-Yu;  Zhao, Cha;  Xiong, Lihua;  Liu, Pan
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/26
China  climate change  global climate model  greenhouse gases emissions scenario  internal climate variability  uncertainty  
Selecting climate change scenarios for regional hydrologic impact studies based on climate extremes indices 期刊论文
CLIMATE DYNAMICS, 2019, 52: 1595-1611
作者:  Seo, Seung Beom;  Kim, Young-Oh;  Kim, Youngil;  Eum, Hyung-Il
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Climate change scenarios  Scenario selection  Global circulation model  Climate extremes indices  Katsavounidis-Kuo-Zhang algorithm  
Using a Scenario-Neutral Framework to Avoid Potential Maladaptation to Future Flood Risk 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (2) : 1079-1104
作者:  Broderick, Ciaran;  Murphy, Conor;  Wilby, Robert L.;  Matthews, Tom;  Prudhomme, Christel;  Adamson, Mark
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/26
climate change  flooding  hydrological model uncertainty  scenario neutral  Ireland  catchment regionalization