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Stand-level biomass models for predicting C stock for the main Spanish pine species

Forest Ecosystems 2021年第2期8卷 387-402页

作者： Ana Aguirre Miren del Río Ricardo Ruiz-Peinado Sonia Condés Department of Natural Systems and Resources School of Forest Engineering and Natural ResourcesUniversidad Politécnica de MadridMadridSpain INIA Forest Research CenterDepartment of Forest Dynamics and ManagementMadridSpain iuFOR Sustainable Forest Management Research InstituteUniversity of Valladolid and INIAValladolidSpain

Background:National and international institutions periodically demand information on forest indicators that are used for global *** other aspects,the carbon accumulated in the biomass of forest species must be *** this purpose,one of the main sources of data is the National Forest Inventory(NFI),which together with statistical empirical approaches and updating procedures can even allow annual estimates of the requested ***:Stand level biomass models,relating the dry weight of the biomass with the stand volume were developed for the five main pine species in the Iberian Peninsula(Pinus sylvestris,Pinus pinea,Pinus halepensis,Pinus nigra and Pinus pinaster).The dependence of the model on aridity and/or mean tree size was explored,as well as the importance of including the stand form factor to correct model ***,the capability of the models to estimate forest carbon stocks,updated for a given year,was also ***:The strong relationship between stand dry weight biomass and stand volume was modulated by the mean tree size,although the effect varied among the five pine *** humidity,measured using the martonne aridity index,increased the biomass for a given volume in the cases of Pinus sylvestris,Pinus halepensis and Pinus *** that consider both mean tree size and stand form factor were more accurate and less biased than those that do *** models developed allow carbon stocks in the main Iberian Peninsula pine forests to be estimated at stand level with biases of less than 0.2 Mg·ha^(-1).Conclusions:The results of this study reveal the importance of considering variables related with environmental conditions and stand structure when developing stand dry weight biomass *** described methodology together with the models developed provide a precise tool that can be used for quantifying biomass and carbon stored in the Spanish pine forests in specific years when no field data are available.

关键词： martonne aridity index Dry weight biomass Carbon stock National Forest Inventory Peninsular pine forest Biomass expansion factor

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