Estimation and Uncertainty of the Mixing Effects on Scots Pine

Autor: Condés, S., Sterba, H., Aguirre, A., Bielak, K., Bravo Oviedo, A., Coll, L., Pach, M., Pretzsch, Hans, Vallet, Patrick, Del Río, Macarena
Přispěvatelé: TECHNICAL UNIVERSITY OF MADRID SCHOOL OF FORESTRY MADRID ESP, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), UNIVERSITY OF NATURAL RESSOURCES AND LIFE SCIENCES DEPARTMENT OF FOREST AND SOIL SCIENCES VIENNA AUT, WARSAW UNIVERSITY OF LIFE SCIENCES DEPARTMENT OF SILVICULTURE WARSAW POL, MUSEO NACIONAL DE CIENCIAS NATURALES MADRID ESP, UNIVERSITY OF LLEIDA DEPARTMENT OF AGRICULTURE AND FOREST ENGINEERING LLEIDA ESP, UNIVERSITY OF AGRICULTURE IN KRAKOW KRAKOW POL, TECHNICAL UNIVERSITY OF MUNICH CENTER OF LIFE AND FOOD SCIENCES FREISING DEU, Laboratoire des EcoSystèmes et des Sociétés en Montagne (UR LESSEM), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Centro de Investigacion Forestal (INIA-CIFOR), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology (INIA)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Forests
Forests, MDPI, 2018, 9 (9), pp.17. ⟨10.3390/f9090518⟩
ISSN: 1999-4907
DOI: 10.3390/f9090518⟩
Popis: International audience; An increasing amount of research is focusing on comparing productivity in monospecific versus mixed stands, although it is difficult to reach a general consensus as mixing effects differ both in sign (over-yielding or under-yielding) and magnitude depending on species composition as well as on site and stand conditions. While long-term experimental plots provide the best option for disentangling the mixing effects, these datasets are not available for all the existing mixtures nor do they cover large gradients of site factors. The objective of this study was to evaluate the effects and uncertainties of tree species mixing on the productivity of Scots pine-European beech stands along the gradient of site conditions in Europe, using models developed from National and Regional Forest Inventory data. We found a positive effect of pine on beech basal area growth, which was slightly greater for the more humid sites. In contrast, beech negatively affected pine basal area growth, although the effects switched to positive in the more humid sites. However, the uncertainty analysis revealed that the effect on pine at mid- and more humid sites was not-significant. Our results agree with studies developed from a European transect of temporal triplets in the same pine-beech mixtures, confirming the suitability of these datasets and methodology for evaluating mixing effects at large scale.
Databáze: OpenAIRE
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