Many conservation initiatives for managing social-ecological landscapes factor in the best available biophysical information. However, insufficient consideration of social aspects can render such initiatives ineffective. By incorporating stakeholders' perceptions and values, and by involving stakeholders (transparently) in decision-making processes, conservation plans and efforts can better achieve desired goals and targets.

Soil salinity is a major issue causing land degradation in coastal areas. In this study, we assessed the land use and soil salinity changes in Djilor district (Senegal) using remote sensing and field data. We performed land use land cover changes for the years 1984, 1994, 2007, and 2017. Electrical conductivity was measured from 300 soil samples collected at the study area; this, together with elevation, distance to river, Normalized Difference Vegetation Index (NDVI), Salinity Index (SI), and Soil-Adjusted Vegetation Index (SAVI), was used to build the salinity model using a multiple regression analysis. Supervised classification and intensity analysis were applied to determine the annual change area and the variation of gains and losses. The results showed that croplands recorded the highest gain (17%) throughout the period 1984–2017, while forest recorded 3%. The fastest annual area of change occurred during the period 1984–1994. The salinity model showed a high potential for mapping saline areas (R² = 0.73 and RMSE = 0.68). Regarding salinity change, the slightly saline areas (2 < EC < 4 dS/m) increased by 42% whereas highly saline (EC > 8 dS/m) and moderately saline (4 < EC < 8 dS/m) areas decreased by 23% and 26%, respectively, in 2017. Additionally, the increasing salt content is less dominant in vegetated areas compared with non-vegetated areas. Nonetheless, the highly concentrated salty areas can be restored using salt-resistant plants (e.g., Eucalyptus sp., Tamarix sp.). This study gives more insights on land use planning and salinity management for improving farmers’ resilience in coastal regions.

Climate change is likely to have significant impacts on the forestry sector in New Zealand. However, an understanding of how forest growers are reducing their risks from climate change impacts is still in its infancy. This paper applies the protection motivation theory to identify socio-psychological factors influencing forest growers’ adaptation to climate change. This study presents the survey results from 60 forest growers who have the combined responsibility for managing more than 70% of New Zealand’s plantation forests. We investigated whether their perceived response efficacy, self-efficacy and their understanding of response costs are predictors of their protective or adaptive measures. Based on our survey, risk reduction and risk spreading are the two types of protective measure frequently reported by the respondents to deal with climate risks. Consistent with the protection motivation theory, our findings show that respondents who are more likely to implement protective or adaptive measures if they perceive the threat severity to be high have high self-efficacy and resource efficacy, and exhibit low maladaptive responses such as evading and postponing behaviours. Furthermore, our findings also suggest that there is a low self-efficacy belief with strong maladaptive behaviour among the respondents that negatively influence their motivation to implement adaptation measures. This result provides guidance to policy makers, researchers and forest companies on how to make climate change adaptation efforts effective by considering the forest growers motivation to adapt to climate change.

Highly erratic rainfall patterns in northern Benin complicate the ability of rural farmers to engage in subsistence agriculture. This research explores gender-specific responses to climate variability in the context of agrarian Benin through a household survey (n = 260) and an experimental gaming exercise among a subset of the survey respondents. Although men and women from the sample population are equally aware of climate variability and share similar coping strategies, their specific land-use strategies, preferences, and motivations are distinct. Over the long term, these differences would likely lead to dissimilar coping strategies and vulnerability to the effects of climate change. Examination of gender-specific land-use responses to climate change and anticipatory learning can enhance efforts to improve adaptability and resilience among rural subsistence farmers.