Spatial and temporal variation of biomass in a tropical forest: results from a large census plot in Panama
By Jérôme Chave, Richard S. Condit, Suzanne Lao, John P. Caspersen, R. Foster, Stephen P. Hubbell. 2003
448 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/9c9a9916eacca9b10bf223fac8ed395bd5dc1297
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Vivien Rossi
- Jérôme Chave
- Nicolas Picard
- H. Muller‐Landau
- Janet Franklin
- Richard S. Condit
- P. Prado
- Renato A F Lima
In Global and Planetary Change
- Lourens Poorter
- Jérôme Chave
- S. DeWalt
- M. Peña-Claros
- H. Muller‐Landau
- Stephanie A. Bohlman
- Sean T. O'Brien
- Stephen P. Hubbell
In Nature and Landscape Conservation
- Jérôme Chave
- S. DeWalt
- Lourens Poorter
- Frans Bongers
- Stephen P. Hubbell
- Richard S. Condit
- N. Swenson
- Oliver L. Phillips
Citations in the corpus
- Allometric equations for tree species and carbon stocks for forests of northwestern Mexico (2009, background): “However, single species and mixtures of species differ in allometry, wood density, and architecture, all of which can affect the relationship between the measurements taken during forest inventories and the biomass of individual trees (Chave et al., 2003).”
- Does functional trait diversity predict above‐ground biomass and productivity of tropical forests? Testing three alternative hypotheses (2015, methodology): “We followed part of the accounting method for biomass increment of dicot trees as proposed by Clark et al. (2001) and use the terminology of Chave et al. (2003) as follows: AGB increment of survivors (ΔAGBsurv), in Mg ha 1 year 1, is the per-plot annual increment of new biomass produced by the…”
- Tree allometry and improved estimation of carbon stocks and balance in tropical forests (2005, background): “It is recommended to use a species-level average (Brown et al. 1989; Nelson et al. 1999; Chave et al. 2003), or, if detailed floristic information is unavailable, a stand-level average (Baker et al. 2004).”
- Causes and implications of the correlation between forest productivity and tree mortality rates (2011, background): “…NPP at BCI, even though mortality rates are higher and standing biomass is lower; aboveground NPP is estimated to be 18 Mg ha 1 yr 1 at BCI (Chave et al. 2003) compared to an estimated 5–13 Mg ha 1 yr 1 in old forests of the Pacific States (data from Harmon et al. 2004, Van Tuyl et al.…”
- Variation in aboveground tree live biomass in a central Amazonian Forest: Effects of soil and topography (2006, background): “Results from Panama (Chave et al., 2003) and French Guiana (Chave et al., 2001) were from large and continuous plots (50 and 20 ha, respectively) that could be biased by site selection and too large to detect gradients along the catena.”
- Modeling Tree Diameter Distributions in Natural Forests: An Evaluation of 10 Statistical Models (2015, background): “…be interesting to explore maximum likelihood methods that could account for dbh measurement errors (Taubert et al. 2013) or that could give greater weight to larger dbh values (Cousineau 2008), which are much less frequent but greatly contribute to forest structure and biomass (Chave et al. 2003).”
- Error propagation and scaling for tropical forest biomass estimates. (2004, methodology): “or greater, very close to the value reported in Chave et al. (2003) .”
- Improving estimates of biomass change in buttressed trees using tree taper models (2014, methodology): “This article is a U.S. Government work and is in the public domain in the USA., Methods in Ecology and Evolution, 5, 573–582 and assuming a size-dependent average diameter change (Chave et al. 2003; Lewis et al. 2009).”
- Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data (2015, methodology): “…by ecologists is to measure a few properties of the individual trees related to its structure (usually the diameter at breast height (DBH) and tree height) and relate these to biomass using the allometric equations that were empirically developed individually for the different tree species [82].”
- Above-ground biomass and productivity in a rain forest of eastern South America (2008, methodology): “Based on literature values and estimation, we previously reported an overall contribution of 0.4 Mg ha−1 y−1 (dry mass units) lost through herbivory, and an additional 0.25 Mg ha−1 y−1 lost through branchfalls (Chave et al. 2003).”
- Measuring and modelling above-ground carbon and tree allometry along a tropical elevation gradient (2012, background): “This observation is consistent with trends in AGC being accounted for by the number of large stems (Clark and Clark, 1996; Chave et al., 2003; Alves et al., 2010) and may have implications for the design of rapid (Tier 1; Fig.”
- Seeing the forest beyond the trees (2015, methodology): “The spatial variation of average wood density over Amazonia is unknown, but is expected to be large because of geographic variations in taxonomy and phylogenetic characteristics (Chave et al., 2009), as well as interspecific and inter-site variations in both soil fertility and complex processes of t”
- Diversity and aboveground biomass in three tropical forest types in the Dja Biosphere Reserve, Cameroon (2010, background): “In several tropical forests, results showed that AGB is strongly correlated with the number of individuals ‡70 cm in diameter that contribute to more than 30% of AGB (Brown, Gillespie & Lugo, 1989; Brown & Lugo, 1992; Clark & Clark, 2000; Chave et al., 2003).”
- Allometry, adult stature and regeneration requirement of 65 tree species on Barro Colorado Island, Panama (2006, methodology): “Within these diameter ranges (either 1 cm to 50 cm or 1 cm to the maximum diameter), log-log or power function fits were nearly identical to fits using non-linear asymptotic equations (Chave et al. 2003).”