000096240 001__ 96240
000096240 005__ 20230914083242.0
000096240 0247_ $$2doi$$a10.1186/s40663-019-0211-1
000096240 0248_ $$2sideral$$a116772
000096240 037__ $$aART-2019-116772
000096240 041__ $$aeng
000096240 100__ $$aSanchez-Gonzalez, Mariola
000096240 245__ $$aYield models for predicting aboveground ectomycorrhizal fungal productivity in Pinus sylvestris and Pinus pinaster stands of northern Spain
000096240 260__ $$c2019
000096240 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096240 5203_ $$aBackground
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.
000096240 536__ $$9info:eu-repo/grantAgreement/EC/FP7/311919/EU/Multipurpose trees and non-wood forest products a challenge and opportunity/STAR TREE$$9info:eu-repo/grantAgreement/ES/MICIU/RTI2018-099315-A-I00$$9info:eu-repo/grantAgreement/ES/MINECO/AGL2015-66001-C3
000096240 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000096240 590__ $$a2.696$$b2019
000096240 591__ $$aFORESTRY$$b8 / 68 = 0.118$$c2019$$dQ1$$eT1
000096240 592__ $$a0.741$$b2019
000096240 593__ $$aForestry$$c2019$$dQ1
000096240 593__ $$aNature and Landscape Conservation$$c2019$$dQ2
000096240 593__ $$aEcology$$c2019$$dQ2
000096240 593__ $$aEcology, Evolution, Behavior and Systematics$$c2019$$dQ2
000096240 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000096240 700__ $$ade-Miguel, Sergio
000096240 700__ $$aMartín-Pinto, Pablo
000096240 700__ $$0(orcid)0000-0002-4402-4237$$aMartínez-Peña, Fernando
000096240 700__ $$aPasalodos-Tato, María
000096240 700__ $$aOria-de-Rueda, Juan Andrés
000096240 700__ $$aMartínez de Aragon, Juan
000096240 700__ $$aCañellas, Isabel
000096240 700__ $$aBonet, José Antonio
000096240 773__ $$g6, 52 (2019), [13 pp]$$pFor. Ecosyst$$tForest Ecosystems$$x2095-6355
000096240 8564_ $$s1596159$$uhttps://zaguan.unizar.es/record/96240/files/texto_completo.pdf$$yVersión publicada
000096240 8564_ $$s47974$$uhttps://zaguan.unizar.es/record/96240/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000096240 909CO $$ooai:zaguan.unizar.es:96240$$particulos$$pdriver
000096240 951__ $$a2023-09-13-10:48:59
000096240 980__ $$aARTICLE