Please use this identifier to cite or link to this item: http://hdl.handle.net/10532/4925
Title: Yield models for predicting aboveground ectomycorrhizal fungal productivity in Pinus sylvestris and Pinus pinaster stands of northern Spain
Authors: Sánchez González, Mariola
De 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
Issue Date: 2019
Citation: Forest Ecosystems, Vol. 6, num. 1, (2019)
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.
URI: http://hdl.handle.net/10532/4925
Related document: https://doi.org/10.1186/s40663-019-0211-1
License: http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Appears in Collections:[DOCIART] Artículos científicos, técnicos y divulgativos

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