On the public citation graph

Uncertainty assessment in aboveground biomass estimation at the regional scale using a new method considering both sampling error and model error

https://doi.org/10.1139/cjfr-2016-0436

0 signed · 47 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/b978-0-12-375067-9.00128-5openalex-snapshot

Intergovernmental Panel on Climate Change (IPCC)

inferredcites →https://doi.org/10.1016/j.foreco.2006.05.045openalex-snapshot

Factors affecting the uncertainty of sinks and stocks of carbon in Finnish forests soils and vegetation

inferredcites →https://doi.org/10.1016/j.foreco.2008.07.002openalex-snapshot

Predicting mean aboveground forest biomass and its associated variance

inferredcites →https://doi.org/10.1016/j.foreco.2008.07.034openalex-snapshot

Capturing diversity and interspecific variability in allometries: A hierarchical approach

inferredcites →https://doi.org/10.1016/j.foreco.2010.08.034openalex-snapshot

Allometric equations for biomass estimations in Cameroon and pan moist tropical equations including biomass data from Africa

inferredcites →https://doi.org/10.1016/j.foreco.2012.01.004openalex-snapshot

Individual tree biomass equations or biomass expansion factors for assessment of carbon stock changes in living biomass – A comparative study

inferredcites →https://doi.org/10.1016/j.foreco.2012.10.002openalex-snapshot

Improving the accuracy of tree-level aboveground biomass equations with height classification at a large regional scale

inferredcites →https://doi.org/10.1016/j.foreco.2013.09.047openalex-snapshot

Propagating uncertainty to estimates of above-ground biomass for Kenyan mangroves: A scaling procedure from tree to landscape level

inferredcites →https://doi.org/10.1016/j.rse.2011.10.036openalex-snapshot

Lidar sampling — Using an airborne profiler to estimate forest biomass in Hedmark County, Norway

inferredcites →https://doi.org/10.1016/j.rse.2012.01.025openalex-snapshot

Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laser scanning

inferredcites →https://doi.org/10.1016/j.rse.2012.04.017openalex-snapshot

Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach

inferredcites →https://doi.org/10.1016/j.rse.2012.10.007openalex-snapshot

Inference for lidar-assisted estimation of forest growing stock volume

inferredcites →https://doi.org/10.1016/s0378-1127(97)00019-4openalex-snapshot

Biomass equations for sixty-five North American tree species

inferredcites →https://doi.org/10.1051/forest:2005075openalex-snapshot

Estimation of the biomass stock of trees in Sweden: comparison of biomass equations and age-dependent biomass expansion factors

inferredcites →https://doi.org/10.1051/forest:2006097openalex-snapshot

Uncertainty estimation of biomass expansion factors for Norway spruce in the Czech Republic

inferredcites →https://doi.org/10.1098/rstb.2003.1425openalex-snapshot

Error propagation and scaling for tropical forest biomass estimates

inferredcites →https://doi.org/10.1108/09504121211205250openalex-snapshot

Intergovernmental Panel on Climate Change (IPCC)

inferredcites →https://doi.org/10.1139/x00-202openalex-snapshot

Additivity of nonlinear biomass equations

inferredcites →https://doi.org/10.1139/x10-161openalex-snapshot

Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time.

inferredcites →https://doi.org/10.1139/x10-195openalex-snapshot

Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time.

inferredcites →https://doi.org/10.1139/x90-105openalex-snapshot

The sensitivity of measurement error in stand volume estimation

inferredcites →https://doi.org/10.14214/sf.184openalex-snapshot

Biomass equations for Scots pine and Norway spruce in Finland

inferredcites →https://doi.org/10.14214/sf.236openalex-snapshot

Biomass equations for birch in Finland

inferredcites →https://doi.org/10.5849/forsci.12-137openalex-snapshot

Quantifying the Model-Related Variability of Biomass Stock and Change Estimates in the Norwegian National Forest Inventory

inferredcites →https://doi.org/10.5849/forsci.12-141openalex-snapshot

Effects of Uncertainty in Model Predictions of Individual Tree Volume on Large Area Volume Estimates

inferredcites →https://doi.org/10.5849/forsci.12-164openalex-snapshot

Effects of Measurement Errors on Individual Tree Stem Volume Estimates for the Austrian National Forest Inventory

inferredcites →https://doi.org/10.5849/forsci.13-005openalex-snapshot

Sample-Based Estimation of Greenhouse Gas Emissions From Forests—A New Approach to Account for Both Sampling and Model Errors

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4689302openalex-extracted

A Framework for Upscaling Aboveground Biomass from an Individual Tree to Landscape Level and Qualifying the Multiscale Spatial Uncertainties for Natural Secondary Forests

inferred← citeshttps://doi.org/10.1007/978-3-031-48224-3_5openalex-snapshot

Modelling Biomass

inferred← citeshttps://doi.org/10.1007/s11676-020-01243-2openalex-snapshot

Uncertainties in above ground tree biomass estimation

inferred← citeshttps://doi.org/10.1007/s11676-024-01758-yopenalex-snapshot

Minimum area of primitive broad-leaved Korean pine forest community based on biomass

inferred← citeshttps://doi.org/10.1007/s44392-025-00048-7openalex-snapshot

Challenges and Strategic Recommendations for Enhancing Quantification and Projection of Forest Carbon Dynamics

inferred← citeshttps://doi.org/10.1016/j.ecolind.2021.107569openalex-snapshot

How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?

inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2018.10.011openalex-snapshot

Estimating model- and sampling-related uncertainty in large-area growth predictions

inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2020.109030openalex-snapshot

Modelling Forest Ecosystems: a crossroad between scales, techniques and applications

inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2022.110067openalex-snapshot

The tropical biomass & carbon project–An application for forest biomass and carbon estimates

inferred← citeshttps://doi.org/10.1080/10095020.2024.2449447openalex-snapshot

A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests

inferred← citeshttps://doi.org/10.1093/forestry/cpaf008openalex-snapshot

Comparing effects of uncertainty in predictions of local and pantropical allometric models on large-area estimates for mean aboveground biomass per unit area

inferred← citeshttps://doi.org/10.1139/cjfr-2019-0034openalex-snapshot

Effect of measurement errors on the estimation of tree biomass

inferred← citeshttps://doi.org/10.1139/cjfr-2025-0247openalex-snapshot

Appraising the effects of tree height prediction uncertainty on large-scale estimates for mean wood volume per unit area for a subtropical population

inferred← citeshttps://doi.org/10.1186/s13021-025-00303-6openalex-snapshot

Model error propagation in a compatible tree volume, biomass, and carbon prediction system

inferred← citeshttps://doi.org/10.1590/0001-3765202420230176openalex-snapshot

Allometric mixed-effects models for Dicksonia sellowiana Hook. and its contribution to biomass stocks of Araucaria forests in southern Brazil

inferred← citeshttps://doi.org/10.1590/2179-8087-floram-2026-0030openalex-snapshot

Common Allometric Aboveground Biomass Models for Two Atlantic Forest Tree Ferns

inferred← citeshttps://doi.org/10.24382/366openalex-snapshot

Error Propagation Analysis for Remotely Sensed Aboveground Biomass

inferred← citeshttps://doi.org/10.3390/f9080490openalex-snapshot

Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production

inferred← citeshttps://doi.org/10.3390/su14095580openalex-snapshot

Quantifying the Effects of Stand and Climate Variables on Biomass of Larch Plantations Using Random Forests and National Forest Inventory Data in North and Northeast China

inferred← citeshttps://doi.org/10.70675/e8964095z5968z4c77z8bcbz9f325a5f00a5openalex-snapshot

Error propagation in forest growth models in the context of regional forecasts

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.