scholarly journals A Combined Analysis of Sociological and Farm Management Factors Affecting Household Livelihood Vulnerability to Climate Change in Rural Burundi

2020 ◽  
Vol 12 (10) ◽  
pp. 4296 ◽  
Author(s):  
Risper Nyairo ◽  
Takashi Machimura ◽  
Takanori Matsui
Keyword(s):  
Climate Change ◽  
Farm Management ◽  
Policy Implications ◽  
The Other ◽  
Mixed Data ◽  
Future Climate Change ◽  
Factors Affecting ◽  
Vulnerability To Climate Change ◽  
Household Livelihood ◽  
Social Capitals

This paper analyzed the livelihood vulnerability of households in two communes using socio-economic data, where one site is a climate analogue of the other under expected future climate change. The analysis was undertaken in order to understand local variability in the vulnerability of communities and how it can be addressed so as to foster progress towards rural adaptation planning. The study identified sources of household livelihood vulnerability by exploring human and social capitals, thus linking the human subsystem with existing biophysical vulnerability studies. Selected relevant variables were used in Factor Analysis on Mixed Data (FAMD), where the first eight dimensions of FAMD contributed most variability to the data. Clustering was done based on the eight dimensions, yielding five clusters with a mix of households from the two communes. Results showed that Cluster 3 was least vulnerable due to a greater proportion of households having adopted farming practices that enhance food and water availability. Households in the other clusters will need to make appropriate changes to reduce their vulnerability. Findings show that when analyzing rural vulnerability, rather than broadly looking at spatial climatic and farm management differences, social factors should also be investigated, as they can exert significant policy implications.

scholarly journals Future climate change vulnerability of endemic island mammals

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Camille Leclerc ◽  
Franck Courchamp ◽  
Céline Bellard
Keyword(s):  
Climate Change ◽  
Pacific Ocean ◽  
Adaptive Capacity ◽  
Climate Change Impacts ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Change Vulnerability ◽  
Vulnerability To Climate Change ◽  
Insular Ecosystems

Abstract Despite their high vulnerability, insular ecosystems have been largely ignored in climate change assessments, and when they are investigated, studies tend to focus on exposure to threats instead of vulnerability. The present study examines climate change vulnerability of islands, focusing on endemic mammals and by 2050 (RCPs 6.0 and 8.5), using trait-based and quantitative-vulnerability frameworks that take into account exposure, sensitivity, and adaptive capacity. Our results suggest that all islands and archipelagos show a certain level of vulnerability to future climate change, that is typically more important in Pacific Ocean ones. Among the drivers of vulnerability to climate change, exposure was rarely the main one and did not explain the pattern of vulnerability. In addition, endemic mammals with long generation lengths and high dietary specializations are predicted to be the most vulnerable to climate change. Our findings highlight the importance of exploring islands vulnerability to identify the highest climate change impacts and to avoid the extinction of unique biodiversity.

scholarly journals Sustainable Energy Development under Climate Change

2018 ◽  
Vol 10 (9) ◽  
pp. 3269 ◽  
Author(s):  
Chih-Chun Kung ◽  
Bruce McCarl
Keyword(s):  
Climate Change ◽  
Sustainable Energy ◽  
Energy Development ◽  
Future Climate ◽  
Policy Implications ◽  
Future Climate Change ◽  
Human Society ◽  
Energy Needs ◽  
Broad Array

The world faces unprecedented threats from climate change and increasing variability, which severely impacts human society and the natural environment. To reduce future climate change and ensure our economies can grow in a sustainable way, sustainable energy development is considered to be an effective approach. In this context, sustainable energy development involves augmenting our energy supplies and managing demands in a fashion that societal energy needs are met with a minimal effect on greenhouse gas emissions and a nominal resultant contribution to future climate change. In this Special Issue, research papers focus on the role of sustainable energy development (while addressing important dimensions of sustainability), which mandates an inter-disciplinary perspective in all articles. We collected 11 such papers that have analyzed a broad array of topics related to bioenergy, wind power, industrial innovation, and climate change mitigation. These papers show the varied application of renewable energy and climate change energy responses, while providing meaningful decision-making information and policy implications.

scholarly journals Factors Affecting Agriculture in Response to Climate Change in Bangladesh

2019 ◽  
Author(s):  
Abul Khayer ◽  
Fatiha Sultana Eti ◽  
Md. Mohibul Hasan ◽  
Md. Khairul Bashar Biplob ◽  
Rabiul Haq Chowdhury ◽  
...  
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Negative Relationship ◽  
The Other ◽  
Green Economy ◽  
Crop Diversification ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Lack Of Information

An opinion dependent cross sectional survey was conducted among charland peoples of Noakhali, Bangladesh with a view to identify the factors that affect green economy. Nijhumdwip Island and Tamaruddi union are highly affected by cyclone and soil salinity. Unpredictable rainfall is the most acute in Nijhumdwip. Lack of information the main problem in Nijhumdwip Island. Farmers are found less interest in integrated farming and crop diversification. Few farmers from Sonadia Union are involved in homestead gardening. Regression analysis have shown a negative relationship (p<0.001) between education of stockholders and decrease of crop production. On the other hand education level of stockholders is to be found positively (p<0.05) varied with decrease of food insecurity. So it can be said that educated farmers are more adaptive against climate change.

scholarly journals Predicting the Potential Distribution of Hylomecon japonica in China under Current and Future Climate Change Based on Maxent Model

2021 ◽  
Vol 13 (20) ◽  
pp. 11253
Author(s):  
Zhen Cao ◽  
Lei Zhang ◽  
Xinxin Zhang ◽  
Zengjun Guo
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Characteristic Curve ◽  
Future Climate Change ◽  
Mean Annual Temperature ◽  
Suitable Habitat ◽  
Entropy Model ◽  
Factors Affecting ◽  
Jackknife Test ◽  
Maxent Model

Hylomecon japonica is considered a natural medicinal plant with anti-inflammatory, anticancer and antibacterial activity. The assessment of climate change impact on its habitat suitability is important for the wild cultivation and standardized planting of H. japonica. In this study, the maximum entropy model (Maxent) and geographic information system (ArcGIS) were applied to predict the current and future distribution of H. japonica species, and the contributions of variables were evaluated by using the jackknife test. The area under the receiver operating characteristic curve (AUC) value confirmed the accuracy of the model prediction based on 102 occurrence records. The predicted potential distributions of H. japonica were mainly concentrated in Jilin, Liaoning, Shaanxi, Chongqing, Henan, Heilongjiang and other provinces (adaptability index > 0.6). The jackknife experiment showed that the precipitation of driest month (40.5%), mean annual temperature (12.4%), the precipitation of wettest quarter (11.6%) and the subclass of soil (9.7%) were the most important factors affecting the potential distribution of H. japonica. In the future, only under the shared socioeconomic Pathway 245 (SSP 245) scenario model in 2061–2080, the suitable habitat area for H. japonica is expected to show a significant upward trend. The area under other scenarios may not increase or decrease significantly.

scholarly journals Global cotton production under climate change – Implications for yield and water consumption

2020 ◽  
Author(s):  
Yvonne Jans ◽  
Werner von Bloh ◽  
Sibyll Schaphoff ◽  
Christoph Müller
Keyword(s):  
Climate Change ◽  
Water Consumption ◽  
Irrigation Water ◽  
Climate Impacts ◽  
Future Climate ◽  
The Other ◽  
Aral Sea ◽  
Future Climate Change ◽  
Cotton Production ◽  
Impacts Of Climate Change

Abstract. Being an extensively produced natural fiber on earth, cotton is of importance for economies. Although the plant is broadly adapted to varying environments, growth and irrigation water demand of cotton may be challenged by future climate change. To study the impacts of climate change on cotton productivity in different regions across the world and the irrigation water requirements related to it, we use the process-based, spatially detailed biosphere and hydrology model LPJmL. We find our modelled cotton yield levels in good agreement with reported values and simulated water consumption of cotton production similar to published estimates. Following the ISIMIP protocol, we employ an ensemble of five General Circulation Models under four Representative Concentration Pathways (RCPs) for the 2011–2099 period to simulate future cotton yields. We find that irrigated cotton production does not suffer from climate change if CO2 effects are considered, whereas rainfed production is more sensitive to varying climate conditions. Considering the overall effect of a changing climate and CO2 fertilization, cotton production on current cropland steadily increases for most of the RCPs. Starting from ~ 65 million tonnes in 2010, cotton production for RCP4.5 and RCP6.0 equates to 83 and 92 million tonnes at the end of the century, respectively. Under RCP8.5, simulated global cotton production raises by more than 50 % by 2099. Taking only climate change into account, projected cotton production considerably shrinks in most scenarios, by up to one-third or 43 million tonnes under RCP8.5. The simulation of future virtual water content (VWC) of cotton grown under elevated CO2 results for all scenarios in less VWC compared to ambient CO2 conditions. Under RCP6.0 and RCP8.5, VWC is notably decreased by more than 2000 m3 t−1 in areas where cotton is produced under purely rainfed conditions. By 2040, the average global VWC for cotton declines in all scenarios from currently 3300 to 3000 m3 t−1 and reduction continues by up to 30 % in 2100 under RCP8.5. While the VWC decreases by the CO2 effect, elevated temperature (and thus water stress) reverse the picture. Except for RCP2.6, the global VWC of cotton increase slightly but steadily under the other RCPs until mid century. RCP8.5 results in an average global VWC of more than 5000 m3 t−1 by end of the simulation period. Given the economic relevance of cotton production, climate change poses an additional stress and deserves special attention. Changes in VWC and water demands for cotton production are of special importance, as cotton production is known for its intense water consumption that led, e.g., to the loss of most of the Aral sea. The implications of climate impacts on cotton production on the one hand, and the impact of cotton production on water resources on the other hand illustrate the need to assess how future climate change may affect cotton production and its resource requirements. The inclusion of cotton in LPJmL allows for various large-scale studies to assess impacts of climate change on hydrological factors and the implications for agricultural production and carbon sequestration.

scholarly journals Future climate change promotes novel gene-climate associations in balsam poplar (Populus balsamifera L.), a forest tree species

2020 ◽  
Author(s):  
Andrew V. Gougherty ◽  
Stephen R. Keller ◽  
Vikram E. Chhatre ◽  
Matthew C. Fitzpatrick
Keyword(s):  
Climate Change ◽  
Local Adaptation ◽  
Tree Species ◽  
Population Level ◽  
Future Climate ◽  
Future Climate Change ◽  
Populus Balsamifera ◽  
Balsam Poplar ◽  
Novel Gene ◽  
Vulnerability To Climate Change

ABSTRACTA central challenge to predicting climate change effects on biodiversity is integrating information on intraspecific variation, specifically population-level local adaptation to climate. Assessing how climate change could disrupt local adaptation to climate can provide a new way of understanding population risk and vulnerability to climate change. For the wide-ranging boreal tree species, balsam poplar (Populus balsamifera L.), we used models of existing population-level genetic differentiation to estimate three key components of population’s vulnerability to climate change: (1) predicted shifts in genetic composition with and without migration, (2) the potential for future novel gene-climate associations, and (3) the distance populations would need to migrate to minimize future maladaptation. When assessed across the range of balsam poplar, these three metrics suggest that vulnerability to climate change is greatest in the eastern portion of balsam poplar’s range, where future maladaptation peaked, migration distances to sites that minimized maladaptation were greatest, and the emergence of novel gene-climate associations were highest. Our results further suggest greater maladaptation to climate when migration distances were limited – consistent with the possibility of migration to lessen maladaptation to future climate. Our work provides a comprehensive evaluation of population’s vulnerability to climate change by simultaneously assessing population maladaptation to future climate and the distances populations would need to migrate to minimize maladaptation, in a way that goes beyond species-level bioclimatic modelling. In doing so, our work helps advance towards the long-held goal of incorporating genomic information in models of species responses to climate change.

Which Countries Send More Delegates to Climate Change Conferences? Analysis of UNFCCC COPs, 1995–2015

2020 ◽  
Vol 16 (3) ◽  
pp. 478-491
Author(s):  
Ayse Kaya ◽  
Lynne Steuerle Schofield
Keyword(s):  
Climate Change ◽  
Civil Society ◽  
Fossil Fuel ◽  
Policy Implications ◽  
Nonlinear Relationship ◽  
Climate Change Negotiations ◽  
Vulnerability To Climate Change ◽  
Interest Group Politics ◽  
Group Politics ◽  
Fossil Fuel Emissions

Abstract The size of national delegations at the most critical intergovernmental climate change conferences—the annual gatherings of the Conference of the Parties (COPs) of the United Nations Framework Convention on Climate Change—vary greatly. The literature has emphasized the importance of national delegation size (NDS) for states’ formal and informal participation in climate change negotiations. To our knowledge, however, this is the first paper to comprehensively examine the determinants of NDS from 1995–2015. The findings highlight a country's resources and its interest in the mitigation of fossil fuel emissions as important determinants of its NDS. In contrast, the evidence for a connection between vulnerability to climate change and NDS is limited. Interest group politics appear more important than civil society or bureaucratic influence in determining NDS. In terms of policy implications, the distance between the country and the COP location is a robust deterrent of larger delegations, and there is a nonlinear relationship between NDS and financial capacity. Further, there are differences across Annex I and non-Annex I countries.

scholarly journals Hydrologic landscape classification evaluates streamflow vulnerability to climate change in Oregon, USA

2014 ◽  
Vol 18 (9) ◽  
pp. 3367-3392 ◽  
Author(s):  
S. G. Leibowitz ◽  
R. L. Comeleo ◽  
P. J. Wigington Jr. ◽  
C. P. Weaver ◽  
P. E. Morefield ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Climate Model ◽  
Future Climate Change ◽  
Climate Indices ◽  
Western Slope ◽  
Vulnerability To Climate Change ◽  
Basin Scale ◽  
Wet Climate ◽  
John Day

Abstract. Classification can allow for evaluations of the hydrologic functions of landscapes and their responses to stressors. Here we demonstrate the use of a hydrologic landscape (HL) approach to evaluate vulnerability to potential future climate change at statewide and basin scales in the state of Oregon. The HL classification has five components: climate, seasonality, aquifer permeability, terrain, and soil permeability. We evaluate changes when the 1971–2000 HL climate indices are recalculated using 2041–2070 simulation results from the ECHAM (European Centre HAMburg) and PCM (Parallel Climate Model) climate models with the A2, A1b, and B1 emission scenarios. Changes in climate class were modest (4–18%) statewide. However, there were major changes in seasonality class for five of the six realizations (excluding PCM_B1): Oregon shifts from being 13% snow-dominated to 4–6% snow-dominated under these five realizations, representing a 56–68% reduction in snowmelt-dominated area. At the basin scale, simulated changes for the Siletz Basin, in Oregon's Coast Range, include a small switch from very wet to wet climate, with no change in seasonality. However, there is a modest increase in fall and winter water due to increased precipitation. For the Sandy Basin, on the western slope of the Cascades, HL climate class does not change, but there are major changes in seasonality, especially for areas with low aquifer permeability, which experiences a 100% loss of spring seasonality. This would reduce summer baseflow, but effects could potentially be mitigated by streamflow buffering effects provided by groundwater in the high aquifer permeability portions of the upper Sandy. The Middle Fork John Day Basin (MFJD), in northeastern Oregon, is snowmelt-dominated. The basin experiences a net loss of wet and moist climate area, along with an increase in dry climate area. The MFJD also experiences major shifts from spring to winter seasonality, representing a 20–60% reduction in snowmelt-dominated area. Altered seasonality and/or magnitude of seasonal streamflows could potentially affect survival, growth and reproduction of salmonids in these watersheds, with the greatest effects projected for the MFJD. A major strength of the HL approach is that results can be applied to similarly classified, ungaged basins. Information resulting from such evaluations can help inform management responses to climate change at regional and basin scales without requiring detailed modeling efforts.

FLOOD VULNERABILITY AND ADAPTATION TO CLIMATE CHANGE IN BANGLADESH: A REVIEW

2014 ◽  
Vol 16 (03) ◽  
pp. 1450024 ◽  
Author(s):  
MD ABOUL FAZAL YOUNUS
Keyword(s):  
Climate Change ◽  
Rural Communities ◽  
Recent Literature ◽  
Economic Consequences ◽  
Future Climate Change ◽  
Adaptation To Climate Change ◽  
Community Based ◽  
Flood Vulnerability ◽  
Vulnerability To Climate Change ◽  
Extreme Flood

This paper reviews recent literature on flood research in Bangladesh, focusing on the nation's vulnerability to climate change and its ability to adapt. This review reveals that the literature on community-based vulnerability and adaptation, and their processes and assessments in response to hazards under climate change regimes are inadequate, apart from a recent focus on assessment of the vulnerability of rural communities, their ability to adapt their farming methods, or the economic consequences of failure to adapt in response to extreme flood events, e.g. Younus (2012a,b); Younus and Harvey (2013, 2014). This paper argues that an integrated assessment of rural vulnerability and community-based adaptation is needed in order to ensure sustainable changes in response to future climate change regimes in Bangladesh.

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