Yield models for predicting aboveground ectomycorrhizal fungal productivity in Pinus sylvestris and Pinus pinaster stands of northern Spain

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Date
2019
Authors
Sánchez González, MariolaDe Miguel, Sergio
Martín Pinto, Pablo
Martínez Peña, Fernando
Pasalodos Tato, María
Oria de Rueda, Juan Andrés
Martínez de Aragón, Juan
Cañellas, Isabel
Bonet, José Antonio
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Abstract
Predictive models shed light on aboveground fungal yield dynamics and can assist decision-making in forestry by integrating this valuable non-wood forest product into forest management planning. However, the currently existing models are based on rather local data and, thus, there is a lack of predictive tools to monitor mushroom yields on larger scales.
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Bibliographic citation
Forest Ecosystems, Vol. 6, num. 1, (2019)
AGROVOC subjects
HongosEctomicorrizas
Productos forestales no leñosos
Productividad




