The effects of land tenure on vulnerability to droughts in Northeastern Brazil

This article presents evidence on two distinct farming systems—one that utilizes common property pasturelands and another based on private pasturelands—in the Brazilian semi-arid zone. The research is based on a survey carried out in the state of Bahia in 2002. A bivariate analysis was carried out to compare agricultural outputs and income generated in each system. Data suggest that there are no significant differences between the two groups concerning income generation. However, farmers using common pasturelands have more diversified systems and invest more on small-animal husbandry, which are adapted to the dry environment. As a consequence, families that use common pasturelands have a higher consumption of animal protein. These families are thus not necessarily more vulnerable to droughts than those with private pasturelands. Formulating effective institutions to control access to the commons is a strategy pursued by some communities, yet, their ecological sustainability is still unknown.     

A method for quantifying vulnerability, applied to the agricultural system of the Yaqui Valley, Mexico

We propose measuring vulnerability of selected outcome variables of concern (e.g. agricultural yield) to identified stressors (e.g. climate change) as a function of the state of the variables of concern relative to a threshold of damage, the sensitivity of the variables to the stressors, and the magnitude and frequency of the stressors to which the system is exposed. In addition, we provide a framework for assessing the extent adaptive capacity can reduce vulnerable conditions. We illustrate the utility of this approach by evaluating the vulnerability of wheat yields to climate change and market fluctuations in the Yaqui Valley, Mexico.     

Assessing vulnerability of selected farming communities in the Philippines based on a behavioural model of agent's adaptation to global environmental change

Behavioural models that allow simple representation of the complexity of human–environment links are important in vulnerability assessment because they allow the analysis of human adaptive processes in a changing environment. This paper applies an agent-based framework that considers the behavioural model of farmers in three villages in a municipality in the Philippines. Agent-based modelling is a useful policy tool for simulating the effects of different adaptation options on reducing vulnerability because it allows representation of not only the dynamic changes in climate and market but also the dynamic adaptive process of different groups of communities to the impacts of these changes. Model simulations of adaptation options under various global change scenarios showed that production support would significantly reduce future vulnerability only if complemented with appropriate market support. It is thus important for policy to provide a complementary bundle of adaptation measures. Lack of money and information are the most important reasons for not applying available technical adaptation measures, which currently hinder reduction of vulnerability in selected villages in the municipality. Social networks, which play an important role in adapting to environmental changes, are limited to relatives and neighbours, who are important sources of informal credit.     

A methodological framework for rapidly assessing the impacts of climate risk on national-level food security through a vulnerability index

This article describes an experimental Hunger and Climate Vulnerability Index showing the relative vulnerability of food insecure populations to climate risks at country level, as a tool for better understanding risks to food security presented by climate change. Data from socioeconomic and environmental indicators were analysed, and the most relevant indicators were aggregated using a composite index to compare differential vulnerabilities. The paper shows the high correlation between hunger and climate risk, especially for the regions of the world most affected by food insecurity. The analysis goes beyond the impact of climate on crop yields and provides a multidimensional analysis of vulnerability, while demonstrating the critical role that adaptive capacity has in determining vulnerability. The paper also presents a method for analysing food security vulnerability to climate risks that is replicable at different scales to provide a robust planning tool for policy makers. This approach can also be used to monitor vulnerability, evaluate potential effectiveness of programmes, and/or examine plausible impacts of climate change by introducing scenarios into the vulnerability model.     

Anatomy of a closing window: Vulnerability to changing seasonality in Interior Alaska

Alaska is among the fastest warming places on Earth, and the Interior region is warming the most statewide. Significant regional-scale ecosystem services disruptions are affecting Alaska Natives’ subsistence hunting and harvest success. The well-being of rural native communities is still highly dependent on access and ability to harvest wild foods such as salmon and moose (Alces alces gigas) among many others. Over the last decade communities in the Koyukuk-Middle Yukon (KMY) region of Interior Alaska report an inability to satisfy their needs for harvesting moose before the hunting season closes, citing warmer falls, changing precipitation and water levels, and the regulatory framework as primary causes. Through the integration of ethnographic methods to record indigenous observations and understanding of climate (IC) with analysis of meteorological data, we provide a comprehensive picture of vulnerability to recent warming trends in the Koyukuk-Middle Yukon region of Interior Alaska, one that captures more than statistical analysis of “norms” can provide. We will demonstrate how low exposure resulting in a small shift in seasonality has truly socially significant effects to people “on the ground” when community sensitivity is high because of the convergence of multiple social-ecological stressors. In this case, a seemingly small climatic exposure when combined with high social-ecological system sensitivity results in vulnerability to this climate change-related seasonality shift because of: (a) the effects on moose and the social-ecological dynamics of the system, and (b) the importance of this time of the year to meeting annual subsistence needs.     

Social cohesion and passive adaptation in relation to climate change and disease

Climate change affects biophysical processes related to the transmission of many infectious diseases, with potentially adverse consequences for the health of communities. While our knowledge of biophysical associations between meteorological factors and disease is steadily improving, our understanding of the social processes that shape adaptation to environmental perturbations lags behind. Using computational modeling methods, we explore the ways in which social cohesion can affect adaptation of disease prevention strategies when communities are exposed to different environmental scenarios that influence transmission pathways for diseases such as diarrhea. We developed an agent-based model in which household agents can choose between two behavioral strategies that offer different levels of protection against environmentally mediated disease transmission. One behavioral strategy is initially set as more protective, leading households to adopt it widely, but its efficacy is sensitive to variable weather conditions and stressors such as floods or droughts that modify the disease transmission system. The efficacy of the second strategy is initially moderate relative to the first and is insensitive to environmental changes. We examined how social cohesion (defined as average number of household social network connections) influences health outcomes when households attempt to identify an optimal strategy by copying the behaviors of socially connected neighbors who seem to have adapted successfully in the past. Our simulation experiments suggest that high-cohesion communities are able to rapidly disseminate the initially optimal behavioral strategy compared to low-cohesion communities. This rapid and pervasive change, however, decreases behavioral diversity; i.e., once a high cohesion community settles on a strategy, most or all households adopt that behavior. Following environmental changes that reduce the efficacy of the initially optimal strategy, rendering it suboptimal relative to the alternative strategy, high-cohesion communities can fail to adapt. As a result, despite faring better early in the course of computational experiments, high-cohesion communities may ultimately experience worse outcomes. In the face of uncertainty in predicting future environmental stressors due to climate change, strategies to improve effective adaptation to optimal disease prevention strategies should balance between intervention efforts that promote protective behaviors based on current scientific understanding and the need to guard against the crystallization of inflexible norms. Developing generalizable models allows us to integrate a wide range of theories and multiple datasets pertaining to the relationship between social mechanisms and adaptation, which can provide further understanding of future climate change impacts. Models such as the one we present can generate hypotheses about the mechanisms that underlie the dynamics of adaptation events and suggest specific points of measurement to assess the impact of these mechanisms. They can be incorporated as modules within predictive simulations for specific socio-ecological contexts.     

NPZ response to eddy-induced upwelling in a Brazil Current ring: A theoretical approach

This work explores the effect of a cyclonic mesoscale feature of the Brazil Current (BC) moving northward off SE Brazil (20° S–23° S) in the Nutrients-Phytoplankton-Zooplankton (NPZ) dynamics. We employ the contour dynamics technique in a quasi-geostrophic, inviscid, 1½-layer model set as a meridional jet flowing southward along a rigid western boundary. This hydrodynamical model is coupled to a conventional NPZ model. We evaluate two distinct scenarios: (1) Plankton in a mixed layer (ML) with time-variable depth and no entrainment and; (2) Plankton in an ML held at a fixed depth, which allows entrainment. We perform simulations with different ML depths representing summer (42 m) and winter (86 m) for the region of interest. The presence of the western boundary allows the cyclonic ring to propagate northward due to image effect. The eddy motion produces upwelling (downwelling) in the leading (trailing) edge resulting in different responses in the two scenarios examined. In the variable ML depth simulations, Z is favored relative to P because there is no injection of N. On the other hand, in the fixed ML depth simulations, P is favored relative to Z due to dilution. All simulations show P enrichment within the eddy, but winter simulations show a greater response to the physical forcing. We conclude that the cyclonic eddy shed from BC provides favorable conditions for planktonic growth. Winter-like conditions seem to be more favorable than summer-like ones and, therefore, present more intense blooms associated with the ring.     

Gender,ethnicity and vulnerability to climate change: The case of matrilineal and patrilineal societies in Bamenda Highlands Region,Cameroon

Intersectionality is gaining credence in explaining the complexities in rural women’s vulnerability to the impacts of climate change. This study is framed on the assumption that rural women are likely to be affected differently by climate change due to cultural differences. The life history approach was utilised to conduct empirical research in the Bamenda Highlands Region, Cameroon on ethnicity and differential effects of climate change among female farmers in the communities of Kom and Oku representing a matrilineal and patrilineal communities respectively. The research found that single and married women in both matrilineal and patrilineal societies experienced similar patterns of vulnerability relating to socio-economic and cultural discrimination stemming from patriarchal dominance. However, the study also highlighted that contrary to other communities women are not more economically empowered under matrilineal systems than their counterparts in patrilineal societies. In contrast, widows in patrilineal societies were found to have more autonomy in the control of land and other resources than those in matrilineal societies. The study contributes to growing interest in the cultural dimensions of vulnerability to climate change and recommends the inclusion of cultural perspectives in the design and implementation of adaption policies, programs and actions.     

Ethiopia's growth prospects in a changing climate: A stochastic general equilibrium approach

This study develops a stochastic economy-wide framework for analyzing economic impacts from climate change and potential adaptation policies. For the stochastic analysis, particular attention is paid to the development of a prior subjective distribution of future climate outcomes. The approach is applied to Ethiopia. The results highlight the importance of cumulative processes and rates of growth. In particular, if climate change affects the rate of technical change and the rate of accumulation of capital, the implications become significant over time. Furthermore, analysis of the variability of the components of GDP indicates that aggregate consumption always has a higher coefficient of variation than the other macro aggregates. The burden of adjustment appears to fall more heavily on consumers. Poor consumers are likely to experience increased vulnerability.     

Indigenous community benefits from a de-centralized approach to REDD+ in Brazil

Successful efforts of indigenous groups to reduce emissions from deforestation and forest degradation in developing countries (REDD+) will likely vary with how the initiatives are designed and implemented. Whether REDD+ initiatives are carried out by national governments or decentralized to sub-national or project-level institutions with a nested approach could be of great consequence. I describe the Suruí Forest Carbon Project in Amazonian Brazil, one of the first REDD+ pilot projects implemented with indigenous people in the world. I emphasize (1) how enfranchisement of community members in the policy-planning process, fund management, and carbon baseline establishment increased project reliability and equity, and (2) how the project's quality would have likely been diminished if implemented under a centralized REDD+ scheme.

Policy relevance

This article explores a decentralized REDD+ intervention established in an indigenous land in Brazil. It expands the theoretical discussions on REDD+ governance and highlights how centralized REDD+ programmes are likely to be less effective than project-level interventions assisted by NGOs in terms of social benefits and community engagement. Additionally, the case study described can serve as reference for the design of critical social and technical components of REDD+.     

Resistance to relocation in flood-vulnerable coastal areas: a proposed composite index

The increasing number of coastal floods in recent years in France has resulted in the design of new adaptation principles for the most endangered coastal areas. The aim of the government is to reduce the vulnerability of these areas by relocating property and infrastructure. These measures have, however, come up against considerable opposition from the population concerned. Using a survey of 421 inhabitants of Hyères, a coastal town in the South of France, this article proposes the study of resistance to relocation through the creation of an index for resistance that incorporates attachment to place, residential mobility and risk perception. The results show a correlation for the index and distance from the sea that highlights the existence of conflicting interests with adaptation measures depending upon population categories.

Key policy insights

• In France, although coastal flooding risk is a key issue in numerous populated coastal areas, coastal dwellers show little willingness to relocate.

• Resistance to relocation can be assessed through a composite index integrating place attachment, residential mobility and risk perception.

• Application of such an index shows a correlation between willingness to relocate and distance from the sea.

• Conflicts of interest with adaptation measures also depend on the age of the dwellers, their standard of living and on home ownership.

     

Triggering transformative change: a development path approach to climate change response in communities

While climate change action plans are becoming more common, it is still unclear whether communities have the capacity, tools, and targets in place to trigger the transformative levels of change required to build fundamentally low-carbon, resilient, healthy communities. Evidence increasingly supports the finding that this transformation is not triggered by climate policy alone, but rather is shaped by a broad array of decisions and practices that are rooted in underlying patterns of development. Even so, these findings have rarely penetrated the domain of practice, which often remains squarely focused on a relatively narrow set of climate-specific policies. This article builds a conceptual framework for understanding the dynamics of community-level development path transformations that may both dramatically reduce GHG emissions and significantly enhance community resilience. This framework illuminates eight critical enablers of innovation on climate change, each of which is illustrated by compelling examples of community-level experimentation on climate change across the province of British Columbia, Canada. It is concluded that community-based climate (or sustainability) policy might be more likely to trigger development path shifts if it employs a longer time horizon, recognition of adaptability and feedbacks, integrated decision making, and systems thinking.