Potential socio-economic implications of future climate change and variability for Nigerien agriculture: A countrywide dynamic CGE-Microsimulation analysis

2017 ◽  
Vol 63 ◽  
pp. 128-142 ◽  
Author(s):  
Jean-Marc Montaud ◽  
Nicolas Pecastaing ◽  
Mahamadou Tankari
Keyword(s):  
Climate Change ◽  
Future Climate ◽  
Future Climate Change ◽  
Economic Implications ◽  
Climate Change And Variability ◽  
Dynamic Cge

Responses of Irish Vegetation to Future Climate Change

2006 ◽  
Vol 106 (3) ◽  
pp. 323-334 ◽  
Author(s):  
Michael B. Jones ◽  
Alison Donnelly ◽  
Fabrizio Albanito
Keyword(s):  
Climate Change ◽  
Future Climate ◽  
Future Climate Change

Future climate change and its impacts over small island states

2002 ◽  
Vol 19 ◽  
pp. 179-192 ◽  
Author(s):  
M Lal ◽  
H Harasawa ◽  
K Takahashi
Keyword(s):  
Climate Change ◽  
Future Climate ◽  
Future Climate Change ◽  
Small Island ◽  
Island States ◽  
Small Island States

Supplemental Material to the A&WMA 2008 Critical Review "Prospects for Future Climate Change and the Reasons for Early Action"

2008 ◽  
Vol 58 (6) ◽  
Author(s):  
Sylvia Edgerton ◽  
Michael MacCracken ◽  
Meng-Dawn Cheng ◽  
Edwin Corporan ◽  
Matthew DeWitt ◽  
...  
Keyword(s):  
Climate Change ◽  
Critical Review ◽  
Future Climate ◽  
Future Climate Change ◽  
Early Action

scholarly journals Mapping current and potential future distributions of the oak tree (Quercus aegilops) in the Kurdistan Region, Iraq

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Nabaz R. Khwarahm
Keyword(s):  
Climate Change ◽  
Habitat Suitability ◽  
Environmental Variables ◽  
Climate Changes ◽  
Future Climate ◽  
Annual Precipitation ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Kurdistan Region ◽  
Oak Tree

Abstract Background The oak tree (Quercus aegilops) comprises ~ 70% of the oak forests in the Kurdistan Region of Iraq (KRI). Besides its ecological importance as the residence for various endemic and migratory species, Q. aegilops forest also has socio-economic values—for example, as fodder for livestock, building material, medicine, charcoal, and firewood. In the KRI, Q. aegilops has been degrading due to anthropogenic threats (e.g., shifting cultivation, land use/land cover changes, civil war, and inadequate forest management policy) and these threats could increase as climate changes. In the KRI and Iraq as a whole, information on current and potential future geographical distributions of Q. aegilops is minimal or not existent. The objectives of this study were to (i) predict the current and future habitat suitability distributions of the species in relation to environmental variables and future climate change scenarios (Representative Concentration Pathway (RCP) 2.6 2070 and RCP8.5 2070); and (ii) determine the most important environmental variables controlling the distribution of the species in the KRI. The objectives were achieved by using the MaxEnt (maximum entropy) algorithm, available records of Q. aegilops, and environmental variables. Results The model demonstrated that, under the RCP2.6 2070 and RCP8.5 2070 climate change scenarios, the distribution ranges of Q. aegilops would be reduced by 3.6% (1849.7 km2) and 3.16% (1627.1 km2), respectively. By contrast, the species ranges would expand by 1.5% (777.0 km2) and 1.7% (848.0 km2), respectively. The distribution of the species was mainly controlled by annual precipitation. Under future climate change scenarios, the centroid of the distribution would shift toward higher altitudes. Conclusions The results suggest (i) a significant suitable habitat range of the species will be lost in the KRI due to climate change by 2070 and (ii) the preference of the species for cooler areas (high altitude) with high annual precipitation. Conservation actions should focus on the mountainous areas (e.g., by establishment of national parks and protected areas) of the KRI as climate changes. These findings provide useful benchmarking guidance for the future investigation of the ecology of the oak forest, and the categorical current and potential habitat suitability maps can effectively be used to improve biodiversity conservation plans and management actions in the KRI and Iraq as a whole.

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