Climate change projections reveal range shifts of eelgrass Zostera marina in the Northwest Atlantic

2019 ◽  
Vol 620 ◽  
pp. 47-62 ◽  
Author(s):  
KL Wilson ◽  
HK Lotze
Keyword(s):  
Climate Change ◽  
Zostera Marina ◽  
Range Shifts ◽  
Climate Change Projections ◽  
Northwest Atlantic

Uncertainty in CMIP6 climate change projections for the Australian monsoon is tied to hemispheric-scale changes

2020 ◽  
Author(s):  
Sugata Narsey ◽  
Josephine R. Brown ◽  
Robert A. Colman ◽  
Francois Delage ◽  
Scott Brendan Power ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Projections ◽  
Australian Monsoon

scholarly journals Heating and Cooling Degree-Days Climate Change Projections for Portugal

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 715
Author(s):  
Cristina Andrade ◽  
Sandra Mourato ◽  
João Ramos
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
Thermal Comfort ◽  
Energy Demand ◽  
Residential Buildings ◽  
Degree Days ◽  
Climate Change Projections ◽  
Heating And Cooling ◽  
Cooling Degree Days ◽  
Heating Energy Demand

Climate change is expected to influence cooling and heating energy demand of residential buildings and affect overall thermal comfort. Towards this end, the heating (HDD) and cooling (CDD) degree-days along with HDD + CDD were computed from an ensemble of seven high-resolution bias-corrected simulations attained from EURO-CORDEX under two Representative Concentration Pathways (RCP4.5 and RCP8.5). These three indicators were analyzed for 1971–2000 (from E-OBS) and 2011–2040, and 2041–2070, under both RCPs. Results predict a decrease in HDDs most significant under RCP8.5. Conversely, it is projected an increase of CDD values for both scenarios. The decrease in HDDs is projected to be higher than the increase in CDDs hinting to an increase in the energy demand to cool internal environments in Portugal. Statistically significant linear CDD trends were only found for 2041–2070 under RCP4.5. Towards 2070, higher(lower) CDD (HDD and HDD + CDD) anomaly amplitudes are depicted, mainly under RCP8.5. Within the five NUTS II

scholarly journals Spatial Ecology of Atlantic Halibut across the Northwest Atlantic: A Recovering Species in an Era of Climate Change

2021 ◽  
pp. 1-25
Author(s):  
Nancy L. Shackell ◽  
Jonathan A. D. Fisher ◽  
Cornelia E. den Heyer ◽  
Daniel R. Hennen ◽  
Andrew C. Seitz ◽  
...  
Keyword(s):  
Climate Change ◽  
Spatial Ecology ◽  
Atlantic Halibut ◽  
Northwest Atlantic

scholarly journals Towards bridging the gap between climate change projections and maize producers in South Africa

2017 ◽  
Vol 132 (3-4) ◽  
pp. 1153-1163 ◽  
Author(s):  
Willem A. Landman ◽  
Francois Engelbrecht ◽  
Bruce Hewitson ◽  
Johan Malherbe ◽  
Jacobus van der Merwe
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Climate Change Projections

scholarly journals Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5

2013 ◽  
Vol 40 (9-10) ◽  
pp. 2123-2165 ◽  
Author(s):  
J.-L. Dufresne ◽  
M.-A. Foujols ◽  
S. Denvil ◽  
A. Caubel ◽  
O. Marti ◽  
...  
Keyword(s):  
Climate Change ◽  
Earth System Model ◽  
System Model ◽  
Earth System ◽  
Climate Change Projections

scholarly journals Climate change drives mountain butterflies towards the summits

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dennis Rödder ◽  
Thomas Schmitt ◽  
Patrick Gros ◽  
Werner Ulrich ◽  
Jan Christian Habel
Keyword(s):  
Climate Change ◽  
Life History ◽  
Climate Warming ◽  
Environmental Changes ◽  
Range Shifts ◽  
Solar Irradiation ◽  
High Mountain ◽  
Detailed Knowledge ◽  
Annual Range

AbstractClimate change impacts biodiversity and is driving range shifts of species and populations across the globe. To understand the effects of climate warming on biota, long-term observations of the occurrence of species and detailed knowledge on their ecology and life-history is crucial. Mountain species particularly suffer under climate warming and often respond to environmental changes by altitudinal range shifts. We assessed long-term distribution trends of mountain butterflies across the eastern Alps and calculated species’ specific annual range shifts based on field observations and species distribution models, counterbalancing the potential drawbacks of both approaches. We also compiled details on the ecology, behaviour and life-history, and the climate niche of each species assessed. We found that the highest altitudinal maxima were observed recently in the majority of cases, while the lowest altitudes of observations were recorded before 1980. Mobile and generalist species with a broad ecological amplitude tended to move uphill more than specialist and sedentary species. As main drivers we identified climatic conditions and topographic variables, such as insolation and solar irradiation. This study provides important evidence for responses of high mountain taxa to rapid climate change. Our study underlines the advantage of combining historical surveys and museum collection data with cutting-edge analyses.

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