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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:80/0  |  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.


  
Diverse estimates of annual maxima daily precipitation in 22 state-of-the-art quasi-global land observation datasets 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (3)
作者:  Bador, Margot;  Alexander, Lisa V.;  Contractor, Steefan;  Roca, Remy
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/02
intercomparison of observational products  global distribution of precipitation extremes  annual extremes of daily precipitation  in situ and satellite precipitation observations  
Impacts of Central Pacific El Nino on Southern China Spring Precipitation Controlled by its Longitudinal Position 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (22) : 7823-7836
作者:  Jiang, Feng;  Zhang, Wenjun;  Geng, Xin;  Stuecker, Malte F.;  Liu, Chao
收藏  |  浏览/下载:19/0  |  提交时间:2020/02/17
Asia  El Nino  Precipitation  Spring season  Seasonal forecasting  Annual variations  
Projected Changes in the Probability Distributions, Seasonality, and Spatiotemporal Scaling of Daily and Subdaily Extreme Precipitation Simulated by a 50-Member Ensemble Over Northeastern North America 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019
作者:  Innocenti, S.;  Mailhot, A.;  Leduc, M.;  Cannon, A. J.;  Frigon, A.
收藏  |  浏览/下载:19/0  |  提交时间:2019/11/27
extreme precipitation  large ensemble  climate change  spatiotemporal scaling  annual and diurnal cycles  
Stand carbon density drivers and changes under future climate scenarios across global forests 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 449
作者:  Guo, Yanrong;  Peng, Changhui;  Trancoso, Ralph;  Zhu, Qiuan;  Zhou, Xiaolu
收藏  |  浏览/下载:20/0  |  提交时间:2019/11/27
Aboveground and belowground carbon densities  Stand age  Mean annual precipitation  Mean annual temperature  Dryness index  Clay content  
Analyzing the variation of the precipitation of coastal areas of eastern China and its association with sea surface temperature (SST) of other seas 期刊论文
ATMOSPHERIC RESEARCH, 2019, 219: 114-122
作者:  Ji, Chenxu;  Zhang, Yuanzhi;  Cheng, Qiuming;  Li, Yu;  Jiang, Tingchen;  Liang, X. San
收藏  |  浏览/下载:17/0  |  提交时间:2019/11/26
Precipitation  Sea Surface Temperature  Coastal areas of the Eastern China  Seasonal variation  Inter-annual variation  
Projected precipitation changes over the south Asian region for every 0.5 degrees C increase in global warming 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (5)
作者:  Bhowmick, Mansi;  Sahany, Sandeep;  Mishra, Saroj K.
收藏  |  浏览/下载:15/0  |  提交时间:2019/11/26
south Asia  extreme rainfall  annual precipitation  global warming  
A new and flexible rainy season definition: Validation for the Greater Horn of Africa and application to rainfall trends 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (2) : 989-1012
作者:  Seregina, Larisa S.;  Fink, Andreas H.;  van der Linden, Roderick;  Elagib, Nadir A.;  Pinto, Joaquim G.
收藏  |  浏览/下载:20/0  |  提交时间:2019/04/09
annual cycle  CHIRPS  climate classification  onset  precipitation  rain gauges  rainy seasons  trends  
Concentration and mineralization of organic carbon in forest soils along a climatic gradient 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 432: 246-255
作者:  Zhao, Zhongna;  Wei, Xiaorong;  Wang, Xiang;  Ma, Tiane;  Huang, Linqi;  Gao, Hailong;  Fan, Jun;  Li, Xuezhang;  Jia, Xiaoxu
收藏  |  浏览/下载:18/0  |  提交时间:2019/04/09
Broadleaved forest  Coniferous forest  Mean annual precipitation  Mean annual temperature  CC mineralization  N addition  
Projected changes in the annual cycle of precipitation over central Asia by CMIP5 models 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (15) : 5589-5604
作者:  Yu, Xiaojing;  Zhao, Yong;  Ma, Xiaojiao;  Yao, Junqiang;  Li, Hongjun
收藏  |  浏览/下载:14/0  |  提交时间:2019/04/09
annual cycle of precipitation  central Asia  CMIP5 models  projections