RT info:eu-repo/semantics/article
T1 Predicting mushroom productivity from long-term field-data series in Mediterranean Pinus pinaster Ait. Forests in the context of climate change
A1 Herrero de Aza, Celia
A1 Berraondo Armendáriz, Iosu
A1 Bravo Oviedo, Felipe
A1 Pando Fernández, Valentín
A1 Ordóñez Alonso, Ángel Cristóbal
A1 Olaizola Suárez, Jaime
A1 Martín Pinto, Pablo
A1 Oria de Rueda Salgueiro, Juan Andrés
K1 Pinos - Mediterráneo, Región del
K1 Bosques y silvicultura
K1 Cambio climático
K1 Pinos - Explotación
K1 Hongos
K1 3106 Ciencia Forestal
AB Long-term field-data series were used to fit a mushroom productivity model. Simulationsenabled us to predict the consequences of management and climate scenarios on potential mushroomproductivity. Mushrooms play an important ecological and economic role in forest ecosystems.Human interest in collecting mushrooms for self-consumption is also increasing, giving forestsadded value for providing recreational services. Pinus pinaster Ait. is a western Mediterraneanspecies of great economic and ecological value. Over 7.5% of the total European distribution ofthe species is found on the Castilian Plateau in central Spain, where a great variety of mushroomscan be harvested. The aim of this study was to model and simulate mushroom productivity inMaritime pine (Pinus pinaster Ait.) ecosystems in northern Spain under different silvicultural andclimatic scenarios. A mixed model was fitted that related total mushroom productivity to stand andweather variables. The model was uploaded to the SiManFor platform to study the effect of differentsilvicultural and climatic scenarios on mushroom productivity. The selected independent variablesin the model were the ratio between stand basal area and density as a stand management indicator,along with precipitation and average temperatures for September and November. The simulationresults also showed that silviculture had a positive impact on mushroom productivity, which washigher in scenarios with moderate and high thinning intensities. The impact was highly positive inwetter scenarios, though only slightly positive and negative responses were observed in hotter anddrier scenarios, respectively. Silviculture had a positive impact on mushroom productivity, especiallyin wetter scenarios. Precipitation had greater influence than temperature on total mushroomproductivity in Maritime pine stands. The results of this paper will enable forest managers todevelop optimal management approaches for P. pinaster forests that integrate Non-Wood ForestProducts resources.
PB MDPI
SN 1999-4907
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/50003
UL https://uvadoc.uva.es/handle/10324/50003
LA eng
NO Forests,  2019, Vol. 10, Nº. 3, 18 pp.
NO Producción Científica
DS UVaDOC
RD 23-nov-2024