Influence of climate and economic variables on the aggregated supply of a wild edible fungi (Lactarius deliciosus)

A mycological supply function of wild edible fungi is determined by a set of forest and economic variables, among which climate variables stand out. Focusing on wild mushroom picking with commercial value (Lactarius deliciosus (L.) Gray) as an example, the main objective of this paper is to obtain e...

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Detalles Bibliográficos
Autores: Alfranca Burriel, Òscar|||0000-0003-4819-509X, Voces González, Roberto, Diaz Balteiro, Luis
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/85294
Acceso en línea:https://hdl.handle.net/2117/85294
https://dx.doi.org/10.3390/f6072324
Access Level:acceso abierto
Palabra clave:Edible fungi
FOREST MANAGEMENT
PINE FORESTS
MUSHROOM PRODUCTIVITY
SPECIES RICHNESS
BOLETUS-EDULIS
ECTOMYCORRHIZAL
SPAIN
MACROFUNGI
REGRESSION
FRUCTIFICATION
Bolets comestibles
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències forestals
Descripción
Sumario:A mycological supply function of wild edible fungi is determined by a set of forest and economic variables, among which climate variables stand out. Focusing on wild mushroom picking with commercial value (Lactarius deliciosus (L.) Gray) as an example, the main objective of this paper is to obtain empirical evidence about the impact of meteorological and economic variables on the mushroom supply. A multidisciplinary vector error correction (VEC) model for mushroom supply is estimated. Coefficients for the Error Correction Term (ECT) are all significant, at the 0.01 significance level, both in the model for prices and for collected mushrooms. The value of the ECT coefficient in the equation for prices is -0.086 (t-value: -9.321), and for the collected mushroom equation is 0.499 (t-value: 3.913). The impact of precipitation on price changes is -0.104 (t-value: -1.66), and the impact of temperature on mushroom harvest picking is 0.605 (t-value: 3.07). We find that including climate factors to explain mushroom supply considerably strengthens the explanatory power of the model, and in some cases greatly changes the results.