2026-04-14T05:16:26Zhttps://recercat.cat/oai/request

oai:recercat.cat:10459.1/678322024-12-05T22:12:52Zcom_2072_3622col_2072_479130

Yield models for predicting aboveground ectomycorrhizal fungal productivity in Pinus sylvestris and Pinus pinaster stands of northern Spain Sánchez-González, Mariola Miguel Magaña, Sergio de Martín-Pinto, Pablo Martínez Peña, Fernando Pasalodos-Tato, María Oria-de-Rueda, Juan Andrés Martínez de Aragón, Juan Cañellas, Isabel Bonet Lledos, José Antonio Mushrooms Fungi Non-wood forest products Mixed models Hurdle models Background: 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. Results: This work presents the first empirical models for predicting the annual yields of ectomycorrhizal mushrooms and related ecosystem services in Pinus sylvestris and Pinus pinaster stands in northern Spain, using a long-term dataset suitable to account for the combined effect of meteorological conditions and stand structure. Models were fitted for the following groups of fungi separately: all ectomycorrhizal mushrooms, edible mushrooms and marketed mushrooms. Our results show the influence of the weather variables (mainly precipitation) on mushroom yields as well as the relevance of the basal area of the forest stand that follows a right-skewed unimodal curve with maximum predicted yields at stand basal areas of 30–40 m2∙ha− 1. Conclusion: These models are the first empirical models for predicting the annual yields of ectomycorrhizal mushrooms in Pinus sylvestris and Pinus pinaster stands in northern Spain, being of the highest resolution developed to date and enable predictions of mushrooms productivity by taking into account weather conditions and forests’ location, composition and structure. This work was partially supported by the Spanish Ministry of Science, Innovation and Universities (grant number RTI2018-099315-A-I00), by the Spanish Ministry of Economy and Competitivity (MINECO) (Grant number AGL2015–66001-C3), by the Cost action FP1203: European Non-Wood Forest Products Network, and by the European project StarTree – Multipurpose trees and non-wood forest products (Grant number 311919). Sergio de Miguel and José Antonio Bonet benefited from a Serra-Húnter Fellowship provided by the Generalitat of Catalunya. 2020-01-21T10:03:24Z 2020-01-21T10:03:24Z 2019-12-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://doi.org/10.1186/s40663-019-0211-1 2095-6355 http://hdl.handle.net/10459.1/67832 http://hdl.handle.net/10459.1/67832 eng info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099315-A-I00/ES/RESPUESTAS FUNGICAS, SOBRE Y BAJO EL SUELO, A LA GESTION FORESTAL Y A LAS PROPIEDADES FISICOQUIMICAS DEL SUELO EN ECOSISTEMAS FORESTALES MEDITERRANEOS/ info:eu-repo/grantAgreement/MINECO//AGL2015-66001-C3-1-R/ES/EVALUACION DEL EFECTO DE LOS FACTORES AMBIENTALES EN LA DIVERSIDAD FUNGICA Y DE SU INFLUENCIA EN LA GENERACION DE SERVICIOS ECOSISTEMICOS FORESTALES/ info:eu-repo/grantAgreement/MINECO//AGL2015-66001-C3-2-R/ES/EVALUACION DEL EFECTO DE LA GESTION FORESTAL EN LA DIVERSIDAD FUNGICA Y DE SU INFLUENCIA EN LA GENERACION DE SERVICIOS ECOSISTEMICOS FORESTALES/ Reproducció del document publicat a: https://doi.org/10.1186/s40663-019-0211-1 Forest Ecosystems, 2019, vol. 6, article number 52 cc-by (c) Sánchez-González, Mariola et al., 2019 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Springer Open