Measuring carbon in forests: current status and future challenges.
By Sandra A. Brown. Environmental Pollution, 2002
950 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/d679bdf2ed0315722415b5d4bd93abaf76829ef3
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Citations in the corpus
- Measuring and modelling above-ground carbon and tree allometry along a tropical elevation gradient (2012, background): “This is primarily due to a lack of height data and reported similarity between biomass estimates with and without the inclusion of height (Brown, 2002; Lewis et al., 2009).”
- General allometric equations and biomass allocation of Pinus massoniana trees on a regional scale in southern China (2011, methodology): “Tree and stand biomass estimations have been recognized as one of the crucial steps in the assessment of forest carbon stocks in compliance with the Kyoto Protocol on greenhouse gas reduction (Brown 2002; Körner 2005; Pilli et al. 2006).”
- Developing Two Additive Biomass Equations for Three Coniferous Plantation Species in Northeast China (2016, background): “However, this component is not tracked in many forest inventories, because extracting tree roots is expensive and time consuming, and the techniques for measuring root biomass are poorly developed compared to stem, branch and foliage biomass [11,18].”
- Towards a functional and simplified allometry for estimating forest biomass (2006, background): “Estimating tree and forest biomass is essential for assessing ecosystem yield and carbon stock in compliance with the Kyoto Protocol on greenhouse gas reduction (Brown, 2002; Körner, 2005).”
- Determinación de ecuaciones alométricas para estimar biomasa y carbono en Pinus patula Schl. et Cham (2016, background): “…factor que va desde 0,40 hasta el 0,55, ya que varios autores han encontrado que es la proporción de carbono contenido en cualquier especie vegetal; Callo (2001), Fragoso (2003) y Zamora (2003) utilizaron 0,45, Barranco (2002), Herrera y Lucateros (2003) utilizaron 0,55 y Valenzuela (2001) utilizó…”
- Biomass models to estimate carbon stocks for hardwood tree species (2012, methodology): “Hence, biomass models which relate different tree biomass components to dendrometrical variables and biomass expansion factors which relate biomass to stand volume are particularly useful tools in forest biomass estimation (Brown, 2002; Somogyi et al., 2007).”
- Methods for estimating aboveground biomass and its components for Douglas-fir and lodgepole pine trees (2016, background): “The amount of biomass as living vegetation or dead wood and debris is an important factor that relates forestry function and atmospheric carbon regulation (Brown 2002).”
- Plant traits and wood fates across the globe: rotted, burned, or consumed? (2009, unknown): “Forests contain 360 Pg C in plant biomass (Dixon et al., 1994), with 10–20% of this amount present as coarse woody debris (CWD, Delaney et al., 1998; Brown, 2002; Goodale et al., 2002).”
- Reference scenarios for deforestation and forest degradation in support of REDD: a review of data and methods (2008, methodology): “Data sources and methods to estimate carbon stocks are described in detail elsewhere (IPCC 2003, 2006, Gibbs et al 2007, Brown 1997, 2002, GOFCGOLD 2007).”
- Biomass allometric equations for 10 co-occurring tree species in Chinese temperate forests (2006, background): “However, direct measurements of belowground biomass and net primary production are seldom (Brown, 2002).”
- Carbon Content of Tree Tissues: A Synthesis (2012, background): “Although recent studies have documented high interspecific variation in wood C content among co-occurring tree species [1–3,4], accounting for this variation has largely been overlooked as an important consideration in measuring forest C stocks [5–7].”
- New models for estimating the carbon sink capacity of Spanish softwood species (2011, unknown): “Indirect approaches such as biomass expansion factors (BEF’s) or biomass equations applied to forest inventory data (Brown, 2002) are usually used to quantify carbon sequestration in forests.”
- Effect of tree, stand, and site variables on the allometry of Eucalyptus globulus tree biomass (2007, background): “Several studies have concluded that height, as an additional predictor, only adds marginal precision to the predictive ability of diameter-based biomass regressions (e.g., TerMikaelian and Korzukhin 1997; Johansson 1999; Verwijst and Telenius 1999; Brown 2002; Porté et al. 2002; Jenkins et al. 2003)”