RT info:eu-repo/semantics/doctoralThesis
T1 New insights in the modeling and simulation of tree and stand level variables in Mediterranean mixed forests in the present context of climate change
A1 Rodríguez de Prado, Diego
A2 Universidad de Valladolid. Escuela Técnica Superior de Ingenierías Agrarias
K1 Pinos- Mediterráneo
K1 Bosques mixtos - mediterráneos
K1 Cambio climático
K1 31 Ciencias Agrarias
K1 3106 Ciencia Forestal
AB An increase of droughts intensity and frequency episodes combined with newextreme climate events are predicted to appear in the Mediterranean Basin due toglobal warming. In this context, mixed forests have become a sustainable opportunityto mitigate the effects of climate change. Species mixing may lead to the provisionof a greater variety of ecosystem services and products while increasing temporalstability compared to pure forests. The development of new models that explaindifferent tree and stand level variables may be vital to better understand the structure,composition and dynamics of this type of forests. In addition, it is essential to analyzehow climate may influence these variables in order to design adaptive and sustainablemanagement guidelines for mixed forests under future climate change scenarios.In this study, we sought to advance in the modelization and simulation of differenttree and stand level variables along a range of different forest and aridity conditionsin Spain. To achieve that, climate-dependent models were fitted using data from theSpanish National Forest Inventory and the WorldClim databases. We focused ourstudy on fifteen Mediterranean tree species from the Pinus, Quercus, and Fagusgenus.
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/55195
UL https://uvadoc.uva.es/handle/10324/55195
LA eng
NO Departamento de Producción Vegetal y Recursos Forestales
DS UVaDOC
RD 23-nov-2024