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Current European flood-rich period exceptional compared with past 500 years 期刊论文
NATURE, 2020, 583 (7817) : 560-+
作者:  ;  nter Blö;  schl;  Andrea Kiss;  Alberto Viglione;  Mariano Barriendos;  Oliver Bö;  hm;  Rudolf Brá;  zdil;  Denis Coeur;  Gaston Demaré;  e;  Maria Carmen Llasat;  Neil Macdonald;  Dag Retsö;  Lars Roald;  Petra Schmocker-Fackel;  Inê;  s Amorim;  Monika Bě;  ;  nová;  Gerardo Benito;  Chiara Bertolin;  Dario Camuffo;  Daniel Cornel;  Radosł;  aw Doktor;  ;  bor Elleder;  Silvia Enzi;  Joã;  o Carlos Garcia;  ;  diger Glaser;  Julia Hall;  Klaus Haslinger;  Michael Hofstä;  tter;  ;  rgen Komma;  Danuta Limanó;  wka;  David Lun;  Andrei Panin;  Juraj Parajka;  Hrvoje Petrić;  Fernando S. Rodrigo;  Christian Rohr;  Johannes Schö;  nbein;  Lothar Schulte;  Luí;  s Pedro Silva;  Willem H. J. Toonen;  Peter Valent;  ;  rgen Waser;  Oliver Wetter
收藏  |  浏览/下载:80/0  |  提交时间:2020/08/09

There are concerns that recent climate change is altering the frequency and magnitude of river floods in an unprecedented way(1). Historical studies have identified flood-rich periods in the past half millennium in various regions of Europe(2). However, because of the low temporal resolution of existing datasets and the relatively low number of series, it has remained unclear whether Europe is currently in a flood-rich period from a long-term perspective. Here we analyse how recent decades compare with the flood history of Europe, using a new database composed of more than 100 high-resolution (sub-annual) historical flood series based on documentary evidence covering all major regions of Europe. We show that the past three decades were among the most flood-rich periods in Europe in the past 500 years, and that this period differs from other flood-rich periods in terms of its extent, air temperatures and flood seasonality. We identified nine flood-rich periods and associated regions. Among the periods richest in floods are 1560-1580 (western and central Europe), 1760-1800 (most of Europe), 1840-1870 (western and southern Europe) and 1990-2016 (western and central Europe). In most parts of Europe, previous flood-rich periods occurred during cooler-than-usual phases, but the current flood-rich period has been much warmer. Flood seasonality is also more pronounced in the recent period. For example, during previous flood and interflood periods, 41 per cent and 42 per cent of central European floods occurred in summer, respectively, compared with 55 per cent of floods in the recent period. The exceptional nature of the present-day flood-rich period calls for process-based tools for flood-risk assessment that capture the physical mechanisms involved, and management strategies that can incorporate the recent changes in risk.


Analysis of thousands of historical documents recording floods in Europe shows that flooding characteristics in recent decades are unlike those of previous centuries.


  
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.


  
Opportunities for climate-risk reduction through effective fisheries management 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 24 (11) : 5149-5163
作者:  Cheung, William W. L.;  Jones, Miranda C.;  Reygondeau, Gabriel;  Frolicher, Thomas L.
收藏  |  浏览/下载:15/0  |  提交时间:2019/04/09
adaptation  climate change  fishing  fuzzy logic  risk of impacts  vulnerability  
Addressing COP21 using a stock and oil market integration index 期刊论文
ENERGY POLICY, 2018, 116: 127-136
作者:  Batten, Jonathan A.;  Kinateder, Harald;  Szilagyi, Peter G.;  Wagner, Niklas F.
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
Commodities  COP21  Financial market integration  International asset pricing  Market risk  WTI Oil  Risk of climate change  Systematic risk  
Using fuzzy logic to determine the vulnerability of marine species to climate change 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 24 (2) : E719-E731
作者:  Jones, Miranda C.;  Cheung, William W. L.
收藏  |  浏览/下载:16/0  |  提交时间:2019/04/09
climate change  fishes  fuzzy logic  invertebrates  marine  ocean acidification  risk of impacts  vulnerability  
Risk of genetic maladaptation due to climate change in three major European tree species 期刊论文
GLOBAL CHANGE BIOLOGY, 2017, 23 (12)
作者:  Frank, Aline;  Howe, Glenn T.;  Sperisen, Christoph;  Brang, Peter;  St Clair, J. Bradley;  Schmatz, Dirk R.;  Heiri, Caroline
收藏  |  浏览/下载:17/0  |  提交时间:2019/04/09
Abies alba  climate change  Fagus sylvatica  genecology  local adaptation  Picea abies  quantitative traits  relative risk of maladaptation  seedling common garden experiment  water availability  
National adaptation programme: making the country resilient to a changing climate 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2013
作者:  [null]
收藏  |  浏览/下载:16/0  |  提交时间:2019/04/05
Climate  Climate change  Disaster Risk Management (DRM)  Flood  United Kingdom of Great Britain and Northern Ireland  
Health Effects of Climate Change in the UK 2012 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2012
作者:  Sotiris Vardoulakis;  Clare Heaviside;  Health Protection Agency
收藏  |  浏览/下载:21/0  |  提交时间:2019/04/05
Climate change  Hazard risk assessment or analysis  Human health  United Kingdom of Great Britain and Northern Ireland  
Building urban resilience to climate change: what works where, and why 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2012
作者:  Institute for Social and Environmental Transition
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/05
Climate  Hazard risk assessment or analysis  Climate change  Urban zone  India  Indonesia  Thailand  United States of America  Viet Nam  
The geography of poverty, disasters and climate extremes in 2030 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2010
作者:  The Met.Office (United Kingdom);  Overseas Development Institute (United Kingdom);  Risk Management Solutions (RMS)
收藏  |  浏览/下载:16/0  |  提交时间:2019/04/05
Climate change  Disaster Risk Management (DRM)  Drought  Region II - Asia  Region I - Africa  Bangladesh  Ethiopia  Democratic Republic of Congo  Kenya  Madagascar  Nepal  Nigeria  Pakistan  South Sudan  Sudan  Uganda