Vulnerability of Human Populations to Climate Change

2022 ◽  
pp. 1592-1610
Author(s):  
Abdelkrim Ben Salem ◽  
Souad Ben Salem ◽  
Kholoud Kahime ◽  
Mohammed Messouli ◽  
Mohammed Yacoubi Khebiza

Moroccan ecosystems are considered endangered due to climate change that affects directly or indirectly different key features (biodiversity, snow cover, run-off processes, and water availability). The chapter describes the strategy for achieving collaboration between natural and social scientists, stakeholders, decision makers, and other societal groups in order to carry out an integrated assessment of climate change in the 12 Moroccan regions, with an emphasis on vulnerability and adaptation, and evaluate the vulnerability of human population to climate change applying the socioeconomic vulnerability index (SeVI) that measures socioeconomic vulnerability by regions. Result suggest that three southern and one north region are relatively more vulnerable, which are the most exposed to natural hazard. Furthermore, significant adaptive capacity scores are recorded in in the remaining regions, and average sensitivity for all. Therefore, societies and economies at all levels and on every region have to prepare for and adapt to impacts of climate change.

Author(s):  
Abdelkrim Ben Salem ◽  
Souad Ben Salem ◽  
Kholoud Kahime ◽  
Mohammed Messouli ◽  
Mohammed Yacoubi Khebiza

Moroccan ecosystems are considered endangered due to climate change that affects directly or indirectly different key features (biodiversity, snow cover, run-off processes, and water availability). The chapter describes the strategy for achieving collaboration between natural and social scientists, stakeholders, decision makers, and other societal groups in order to carry out an integrated assessment of climate change in the 12 Moroccan regions, with an emphasis on vulnerability and adaptation, and evaluate the vulnerability of human population to climate change applying the socioeconomic vulnerability index (SeVI) that measures socioeconomic vulnerability by regions. Result suggest that three southern and one north region are relatively more vulnerable, which are the most exposed to natural hazard. Furthermore, significant adaptive capacity scores are recorded in in the remaining regions, and average sensitivity for all. Therefore, societies and economies at all levels and on every region have to prepare for and adapt to impacts of climate change.


2000 ◽  
Vol 22 (4) ◽  
pp. 6-10 ◽  
Author(s):  
Donald Nelson ◽  
Timothy Finan

Climate studies have traditionally fallen within the purview of the natural sciences where cause and predictable pattern are sought for such phenomena as climate change and climate variability. In the past, social scientists had little occasion to cross disciplinary paths with atmospheric or oceanographic scientists. Not that social science has ignored climate, for anthropology and geography claim a rich literature on the impacts of climate variability, particularly drought, on human populations (e.g., Franke and Chasin 1980; Watts 1983; Langworthy and Finan 1997). New theoretical ground, fertilized by an increasing number of empirical studies, now promises to bear the fruit we call climate anthropology. The expanding social science agenda has responded to two relatively recent advances in the natural sciences. The first has been the widening scientific consensus regarding global climate change and its anthropogenic causes. Global change cannot be adequately characterized without understanding the human-environment interactions that have contributed to the phenomenon, forcing social and natural scientists to pursue common research objectives. The second influence on climate anthropology has been the improvement in scientific understanding of oceanic/atmospheric interactions, thus allowing for more refined predictability of climatic events, particularly extreme ones. It is with this advance in climate predictability that climate anthropology is beginning to reap an exceedingly bountiful harvest in both theory and application.


2005 ◽  
Vol 51 (5) ◽  
pp. 69-78 ◽  
Author(s):  
C. Sullivan ◽  
J. Meigh

It is known that climate impacts can have significant effects on the environment, societies and economies. For human populations, climate change impacts can be devastating, giving rise to economic disruption and mass migration as agricultural systems fail, either through drought or floods. Such events impact significantly, not only where they happen, but also in the neighbouring areas. Vulnerability to the impacts of climate change needs to be assessed, so that adaptation strategies can be developed and populations can be protected. In this paper, we address the issue of vulnerability assessment through the use of an indicator approach, the climate vulnerability index (CVI). We show how this can overcome some of the difficulties of incommensurability associated with the combination of different types of data, and how the approach can be applied at a variety of scales. Through the development of nested index values, more reliable and robust coverage of large areas can be achieved, and we provide an indication of how this could be done. While further work is required to improve the methodology through wider application and component refinement, it seems likely that this approach will have useful application in the assessment of climate vulnerability. Through its application at sub-national and community scales, the CVI can help to identify those human populations most at risk from climate change impacts, and as a result, resources can be targeted towards those most in need.


2010 ◽  
Vol 365 (1554) ◽  
pp. 2927-2940 ◽  
Author(s):  
Kenneth Strzepek ◽  
Brent Boehlert

Although the global agricultural system will need to provide more food for a growing and wealthier population in decades to come, increasing demands for water and potential impacts of climate change pose threats to food systems. We review the primary threats to agricultural water availability, and model the potential effects of increases in municipal and industrial (M&I) water demands, environmental flow requirements (EFRs) and changing water supplies given climate change. Our models show that, together, these factors cause an 18 per cent reduction in the availability of worldwide water for agriculture by 2050. Meeting EFRs, which can necessitate more than 50 per cent of the mean annual run-off in a basin depending on its hydrograph, presents the single biggest threat to agricultural water availability. Next are increases in M&I demands, which are projected to increase upwards of 200 per cent by 2050 in developing countries with rapidly increasing populations and incomes. Climate change will affect the spatial and temporal distribution of run-off, and thus affect availability from the supply side. The combined effect of these factors can be dramatic in particular hotspots, which include northern Africa, India, China, parts of Europe, the western US and eastern Australia, among others.


Author(s):  
Fai Fung ◽  
Ana Lopez ◽  
Mark New

While the parties to the UNFCCC agreed in the December 2009 Copenhagen Accord that a 2°C global warming over pre-industrial levels should be avoided, current commitments on greenhouse gas emissions reductions from these same parties will lead to a 50 : 50 chance of warming greater than 3.5°C. Here, we evaluate the differences in impacts and adaptation issues for water resources in worlds corresponding to the policy objective (+2°C) and possible reality (+4°C). We simulate the differences in impacts on surface run-off and water resource availability using a global hydrological model driven by ensembles of climate models with global temperature increases of 2°C and 4°C. We combine these with UN-based population growth scenarios to explore the relative importance of population change and climate change for water availability. We find that the projected changes in global surface run-off from the ensemble show an increase in spatial coherence and magnitude for a +4°C world compared with a +2°C one. In a +2°C world, population growth in most large river basins tends to override climate change as a driver of water stress, while in a +4°C world, climate change becomes more dominant, even compensating for population effects where climate change increases run-off. However, in some basins where climate change has positive effects, the seasonality of surface run-off becomes increasingly amplified in a +4°C climate.


2021 ◽  
Author(s):  
Mathew Stewart ◽  
Christopher Carleton ◽  
Huw Groucutt

<p>The late Quaternary saw the extinction of a great number of the world’s megafauna (those animals >44 kg), an event unprecedented in 65 million-years of mammalian evolution. Extinctions were notably severe in North America where 37 genera (~80%) of megafauna disappeared by around the late Pleistocene/Holocene boundary (~11.7 thousand-years-ago, or ka). Scholars have typically attributed these extinctions to overhunting by rapidly expanding human populations (i.e., overkill), climate change, or some combination of the two. Testing human- and climate-driven extinctions hypotheses in North America, however, has proven difficult given the apparent concurrency of human arrival in the Americas—more specifically, the emergence of Clovis culture (~13.2–12.9 ka)—and terminal Pleistocene climate changes such as the abrupt warming of the Bølling-Allerød interstadial (B-A; ~14.7–12.9 ka) or near-glacial conditions of the Younger-Dryas stadial (YD; 12.9–11.7 ka). Testing these hypotheses will, therefore, require the analysis of through-time relationships between climate change and megafauna and human population dynamics. To do so, many researchers have used summed probability density functions (SPDFs) as a proxy for through-time fluctuations in human and megafauna population sizes. SPDFs, however, conflate process variation with the chronological uncertainty inherent in radiocarbon dates. Recently, a new Bayesian regression technique was developed that overcomes this problem—Radiocarbon-dated Event-Count (REC) modelling. Using the largest available dataset of megafauna and human radiocarbon dates, we employed REC models to test whether declines in North American megafauna species could be best explained by climate change (temperature), increases in human population densities, or both. On the one hand, we reasoned that if human overhunting drove megafauna extinctions, there would be a negative correlation between human and megafauna population densities. On the other hand, if climate change drove megafauna extinctions, there would be a correlation between our temperature proxy (i.e., the North Greenland Ice Core Project [NGRIP] δ<sup>18</sup>O record) and megafauna population densities. We found no correlation between our human and megafauna population proxies and, therefore, no support for simple models of overkill. While our findings do not preclude humans from having had an impact—for example, by interrupting megafauna subpopulation connectivity or performing a coup de grâce on already impoverished megafauna—they do suggest that growing populations of “big-game” hunters were not the primary driving force behind megafauna extinctions. We did, however, consistently find a significant, positive correlation between temperature and megafauna population densities. Put simply, decreases in temperature correlated with declines in North American megafauna. The timing of megafauna population declines and extinctions suggest that the unique conditions of the YD—i.e., abrupt cooling, increased seasonality and CO<sub>2</sub>, and major vegetation changes—played a key role in the North American megafauna extinction event.</p>


Author(s):  
Mahendra Singh ◽  
Mahesh Kumar Poonia ◽  
Bheru Lal Kumhar

Climate and agriculture are intensely interrelated global processes and therefore a change in climate affects agricultural production. One such change is global warming which is projected to have significant impacts on environment affecting agriculture, including higher carbon dioxide emission, rise in atmospheric temperature, higher glacial run-off, changed precipitation and the interaction of these elements. These conditions determine the carrying capacity of the biosphere to produce enough food for the human population and domesticated animals. The present paper might help to anticipate and adapt farming to maximize agricultural production.


Author(s):  
Sharmaarke A. Musse

Water scarcity is significantly increasing water stress in Africa and some parts of the world. This is due to human induced factors such as climate change, increase of human population that raises demand which outstrips food availability, and put great changes of land use which results in changes of hydrological mechanics and water availability as whole. The investigation was through literature review and it tries to examine the criticality of water scarcity in Africa regions, and the major factors that mastermind this menace. Also possible strategies that can be promptly used to manage water scarcity at domestic level and in agriculture are described in this paper, not with standing the fact that agriculture sectors in Africa and the rest of the world remain the utmost vulnerable enterprise to water scarcity and withdrawal on the planet earth.


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