Simulating adaptation of forest management to changing climate and disturbance r...
Simulating adaptation of forest management to changing climate and disturbance regimes
Forest disturbance regimes have intensified distinctly in recent decades, and climate change is expected to further increase the frequency and severity of disturbance events. Adaptation is thus necessary to mitigate detrimental ef...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Proyectos interesantes
ILAND
A framework for individual based forest landscape modeling u...
221K€
Cerrado
FOREADAPT
Knowledge exchange between Europe and America on forest grow...
517K€
Cerrado
PID2021-126679OB-I00
IMPULSANDO LOS MODELOS BASADOS EN PROCESOS PARA PROYECTAR LA...
75K€
Cerrado
DecisionES
Decision Support for the Supply of Ecosystem Services under...
2M€
Cerrado
IJCI-2016-30049
Resilience and post-disturbance dynamics - Modeling of fores...
64K€
Cerrado
PID2020-113244GA-C22
DESARROLLO DE HERRAMIENTAS PARA EL DIAGNOSTICO TEMPRANO DE S...
138K€
Cerrado
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
Forest disturbance regimes have intensified distinctly in recent decades, and climate change is expected to further increase the frequency and severity of disturbance events. Adaptation is thus necessary to mitigate detrimental effects of this intensification on the sustainable provisioning of ecosystem services. However, while we’re beginning to understand the responses of individual disturbance agents to a changing climate, our knowledge on disturbance regimes (i.e. multiple agents interacting in space and time) is still limited. The development of adaptation strategies is further complicated by remaining deficiencies in our conception of forests as coupled human and natural systems. While forest models are increasingly able to simulate climate change impacts dynamically, human responses to these ecosystem changes are still widely represented as static prescriptions in such models, neglecting the adaptive capacity in silviculture. The here presented research agenda addresses these issues, with the overall aim to foster adaptation to changing climate and disturbance regimes in forest management. We will study wind – bark beetle interactions based on empirical data from long-term ecosystem research, and implement such interactions into a novel forest landscape simulator. We will furthermore develop an agent-based model of forest management within this simulation framework, with the ability to adapt management dynamically to the conditions emerging from the simulation. Harnessing these methodological advances in a number of case studies we will address questions such as whether interactions will amplify the climate sensitivity of disturbance regimes further, and how response diversity in multi-owner landscapes affects adaptive capacity. The project aims at improving the robustness of disturbance management and thus makes an important contribution to adapting sustainable forest management to changing climate and disturbance regimes.