首页|Nationwide climate-sensitive models for stand dynamics and forest scenario simulation

Nationwide climate-sensitive models for stand dynamics and forest scenario simulation

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  • NSTL
  • Elsevier
Projecting forest dynamics as a function of alternative management strategies and climatic conditions is key to develop sound forest policy and management planning. In Spain there is a need for a full set of climate-sensitive individual-tree growth and yield models suitable for country-level simulations. In this paper we present environmentally driven models for forest stand dynamics based on distance-independent individual-tree growth and yield. The data for model calibration are based on the second, third and fourth surveys of the Spanish National Forest Inventory, including 50,359 plots and 838,620 trees, representing a broad gradient in forest types and environmental conditions. The results develop a total of 182 models for diameter increment, height increment, total height, survival and ingrowth for 27 species and species groups. The models are integrated into a full forest projection system to perform simulations of forest dynamics and resulting changes in the provision of ecosystem services, including the effects of climate, and forest management. Its potential is illustrated through an array of simulations of forest dynamics in the region of Catalonia under alternative climatic and management scenarios. The resulting models and projections provide a solid basis for the simulation of national or regional climatesensitive forest scenarios, with the possibility of being applied to other regions, and may be used for future management and planning efforts.

Climate change scenariosForest managementForest planningEcosystem servicesSoil water holding capacitySpecies dispersalPINUS-SYLVESTRIS L.UNEVEN-AGED MIXTURESAREA INCREMENT MODELYIELD MODELVEGETATION SIMULATORTIMBER PRODUCTIONINVENTORY DATAPINASTER AIT.GROWTH-MODELSNIGRA ARN.

Trasobares, Antoni、Mola-Yudego, Blas、Aquilue, Nuria、Ramon Gonzalez-Olabarria, Jose、Garcia-Gonzalo, Jordi、Garcia-Valdes, Raul、De Caceres, Miquel

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Forest Sci & Technol Ctr Catalonia CTFC

Univ Eastern Finland

2022

10.1016/j.foreco.2021.119909

Forest Ecology and Management

Forest Ecology and Management

EISCI
ISSN：0378-1127
年,卷(期)：2022.505
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