Maps of forest site quality at national level: The case of Spain

[Description of methods used for collection/generation of data] Third Spanish National Forest Inventory.

[Methods for processing the data] Geostatistical techniques (Universal Kriging); growth models (Hossfeld II and Bertalanffy-Richards).

[Links to other publicly accessible locations of the data] The data is also accessible as images embedded in a Word document in the Supplementary Material of Aguirre A, Moreno-Fernández D, Alberdi I, Hernández L, Adame P, Cañellas I, Montes F. 2022. Mapping forest site quality at national level. Forest Ecology and Management 508, 120043. 10.1016/j.foreco.2022.120043

This dataset includes site quality maps for 24 tree forest species (Pinus sylvestris, Pinus uncinata, Pinus pinea, Pinus halepensis, Pinus nigra, Pinus pinaster, Pinus canariensis, Pinus radiata, Abies alba, Juniperus thurifera, Quercus robur, Querus petraea, Quercus pyrenaica, Quercus faginea, Quercus ilex, Quercus suber, Populus nigra, Eucalyptus globulus, Eucalyptus camaldulensis, Fagus sylvatica, Castanea sativa, Quercus pubescens, Populus × canadensis, Betula alba) growing in Spain. We took advantage of the Third Spanish National Forest Inventory and the curve-guide method to adjust site form (dominant diameter-dominant height relationship) models for each species. Once fitted the models, we extrapolated the site quality maps using universal kriging techniques. The results are stored in one geopackage per species (.gpkg), which includes four levels of site quality (A= Alta [Height], B = Media-Alta [Medium-High], C = Media-Baja [Medium-Low], D = Baja [Low]).

“Monitoring and evaluation of ecosystem service provision of forest stands in management gradients: diversity, vulnerability and response to climate change [RID2020-119204RB-C21]”, “Forest dynamics and vulnerability to global change: factors and mechanisms at different spatial and temporal scales [PID2019-110273RB-I00]”; "Encomienda de gestión: Soporte científico a la generación de información Forestal [EG17-042]”).

Peer reviewed