Envisioning Adaptive Strategies to Change: Participatory Scenarios for Agropastoral Semiarid Systems in Nicaragua

Envisioning adaptive strategies to change: participatory scenarios for agro-pastoral semi- arid systems in Nicaragua

Historically, the semi-arid socio-ecological systems of dry Centro American corridor have proven resilient to pressures. In the last century these systems, however, have experienced huge environmental and socio-economic changes that have increased the vulnerability of local livelihoods to shocks and perturbations. New approaches are needed to capture complex, uncertain, cross-scale and non-line...

Adaptive investment strategies for different scenarios

The main goal of this PhD thesis is to investigate some of the problems related to optimization of resources in environments with unpredictable behavior where: (i) not all information is available and (ii) the environment presents unknown temporal changes. The investigations in this PhD thesis are divided in two parts: Part I presents the investment model and some analytical as well as numerica...

Towards Adaptive Governance of Common-Pool Mountainous Agropastoral Systems

The paper deals with analyses and propositions for adaptive governance of an alpine (A) and an Ethiopian (B) agropastoral system with common-pool pastures. Sustainability can be enhanced by augmenting (i) the ecological and social capitals in relation to costs and (ii) the resilience or adaptive capacity. In (A), a multifunctional agriculture appears to maintain the ecological capital providing...

Adaptive Strategies for Climate Change

Spatial heterogeneity and irreversible vegetation change in semiarid grazing systems.

Recent theoretical studies have shown that spatial redistribution of surface water may explain the occurrence of patterns of alternating vegetated and degraded patches in semiarid grasslands. These results implied, however, that spatial redistribution processes cannot explain the collapse of production on coarser scales observed in these systems. We present a spatially explicit vegetation model...