An approach to estimate carbon stocks change in forest carbon pools under the UNFCCC: the Italian case

Federici, Sandro; Vitullo, Marina; Tulipano, S.; Lauretis, Riccardo De; Seufert, G.

doi:10.3832/ifor0457-0010086

Cited by 77 publications

(77 citation statements)

References 18 publications

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“…In the same way, the value found for Q. ilex (0.357) is similar to that reported by Canadell and Roda (1991) in Cataluña, north-east Spain (0.41). In other cases, the results vary slightly from those of other studies, such as in the case of poplar for which Federici et al (2008) reports a value of 0.21 in Italy. Mokany et al (2006) presented root:shoot ratios according to vegetation categories, including oak forests where a value of 0.295 was found.…”

Section: Discussioncontrasting

confidence: 83%

Biomass models to estimate carbon stocks for hardwood tree species

2012

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To estimate forest carbon pools from forest inventories it is necessary to have biomass models or biomass expansion factors. In this study, tree biomass models were developed for the main hardwood forest species in Spain: Alnus glutinosa, Castanea sativa, Ceratonia siliqua, Eucalyptus globulus, Fagus sylvatica, Fraxinus angustifolia, Olea europaea var. sylvestris, Populus x euramericana, Quercus canariensis, Quercus faginea, Quercus ilex, Quercus pyrenaica and Quercus suber. Different tree biomass components were considered: stem with bark, branches of different sizes, above and belowground biomass. For each species, a system of equations was fitted using seemingly unrelated regression, fulfilling the additivity property between biomass components. Diameter and total height were explored as independent variables. All models included tree diameter whereas for the majority of species, total height was only considered in the stem biomass models and in some of the branch models. The comparison of the new biomass models with previous models fitted separately for each tree component indicated an improvement in the accuracy of the models. A mean reduction of 20% in the root mean square error and a mean increase in the model efficiency of 7% in comparison with recently published models. So, the fitted models allow estimating more accurately the biomass stock in hardwood species from the Spanish National Forest Inventory data.Key words: aboveground biomass; belowground biomass; additivity; carbon sequestration; hardwood species; biomass models. ResumenEcuaciones para la estimación de biomasa de frondosas en España Para realizar estimaciones de cantidades de carbono acumulado por los bosques, a partir de datos procedentes de inventarios forestales, es necesario disponer de modelos de estimación de biomasa o de factores de expansión. En este trabajo se han ajustado modelos de estimación de biomasa para las principales especies forestales de frondosas existentes en los bosques españoles: Alnus glutinosa, Castanea sativa, Ceratonia siliqua, Eucalyptus globulus, Fagus sylvatica, Fraxinus angustifolia, Olea europea var. sylvestris, Populus x euramericana, Quercus canariensis, Quercus faginea, Quercus ilex, Quercus pyrenaica y Quercus suber. Se han determinado las siguientes fracciones: fuste con corteza, ramas de diferentes tamaños, parte aérea y parte radical. Para cada especie se ajustó un sistema de ecuaciones utilizando la metodología de mínimos cuadrados generalizados conjuntos, que contempla el cumplimiento de la propiedad aditiva entre fracciones. Como variables independientes se utilizaron el diámetro y la altura total del árbol. El diámetro aparece en todos los modelos, no así la altura, si bien su inclusión resulta en una mejora de las estimaciones en los modelos de biomasa de fuste para la mayoría de las especies y en parte de los modelos de ramas. La comparación con otros modelos desarrollados anteriormente para estas especies y ajustados con otra metodología, indica una mejora en la precisión de los aquí p...

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Section: Discussioncontrasting

confidence: 83%

Biomass models to estimate carbon stocks for hardwood tree species

2012

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“…The procedure used to estimate the quantity of carbon stored in forests follows the For-Est approach (Federici et al 2008), based on the IPCC "Good Practice Guidance for Land use, land-use Change and Forestry" (IPCC 2003). The annual forest capacity to transform atmospheric carbon into biomass was estimated considering three carbon pools: above-ground biomass, belowground biomass and deadwood.…”

Section: Benefi T Transfer Methodsmentioning

confidence: 99%

Mapping the value of ecosystem services: A case study from the Austrian Alps

et al. 2015

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. Ma-pping the value of ecosystem services: a case study from the Austrian Alps. Ann. For. Res. 58(1): 157-175.Abstract. Ecosystem services (ES) are considered the conditions and processes through which natural ecosystems sustain and fulfil human life. In the decision making process related to the natural resources management, two key-aspects must be taken into account: the economic value of the benefits provided by ES (provisioning, regulating and cultural services) and the spatial distribution of these benefits. The purpose of the paper is to develop a method aimed to capture the economic value of the benefits provided by ES, in order to support the decision makers in the natural resources management. ES are not homogeneous across landscapes nor in space. Consequently, gaining knowledge on the spatial distribution of the economic relevance of ES is a fundamental information to target management actions. This method was tested in a case study in the Austrian Alps (Leiblachtal area in Vorarlberg region), characterized by a high importance of forests and grasslands. The results show that the highest economic values could be achieved for the provisioning services with a range between 200 €/ha year and 1,400 €/ha year. The regulating services have also important economic values, but strongly localized in specific areas (i.e. protective forests against natural hazards). The economic values of the cultural services are influenced by the preferences of tourists and varies between 5 €/ha year to 60 €/ha year. The method allowed us to reveal the spatial heterogeneity of provisioning, regulating and cultural ES, depending on the ecological characteristics of the site.

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“…The values of BEF and BWD are taken from Federici et al (2008). The factors 0.5 and 100 are respectively ap plied to convert from carbon to dry matter content and from g m -2 to Mg ha -1 .…”

Section: Methodsmentioning

confidence: 99%

Use of BIOME-BGG to simulate Mediterranean forest carbon stocks

Chiesi¹,

Chirici²,

Barbati³

et al. 2011

iForest

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BIOME-BGC is a bio-geochemical model capable of estimating the water, carbon and nitrogen fluxes and storages of terrestrial ecosystems. Previous research demonstrated that, after proper calibration of its ecophysiological parameters, the model can reproduce the main processes of Mediterranean forest types. The same investigations, however, indicated a model tendency to overestimate woody biomass accumulation. The current paper aims at modifying BIOME-BGC ecophysiological settings to improve the simulation of the woody compartment in Mediterranean forests. The modified ecophysiological parameter is the whole-plant mortality fraction (WPMF), which directly affects the amount of woody biomass stored. The optimal WPMFs of six main forest types in Tuscany are identified by forcing the model to reproduce the maximum standing volumes found in regional and local forest inventories. The effects of this operation are evaluated by comparing the model outputs produced using the original and modified settings to independent measurements from national forest inventories. The results obtained demonstrate the effectiveness of the modifications introduced and consolidate the methodological basis for extending the use of the modeling strategy to other Mediterranean areas

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An approach to estimate carbon stocks change in forest carbon pools under the UNFCCC: the Italian case

Cited by 77 publications

References 18 publications

Biomass models to estimate carbon stocks for hardwood tree species

Biomass models to estimate carbon stocks for hardwood tree species

Mapping the value of ecosystem services: A case study from the Austrian Alps

Use of BIOME-BGG to simulate Mediterranean forest carbon stocks

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