Field methods for sampling tree height for tropical forest biomass estimation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F18%3A43914265" target="_blank" >RIV/62156489:43410/18:43914265 - isvavai.cz</a>

Alternative codes found

RIV/67985939:_____/18:00492866 RIV/61989592:15310/18:73591584

Result on the web

<a href="https://doi.org/10.1111/2041-210X.12962" target="_blank" >https://doi.org/10.1111/2041-210X.12962</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/2041-210X.12962" target="_blank" >10.1111/2041-210X.12962</a>

Result language

angličtina

Original language name

Field methods for sampling tree height for tropical forest biomass estimation

Original language description

1. Quantifying the relationship between tree diameter and height is a key component of efforts to estimate biomass and carbon stocks in tropical forests. Although substantial site-to-site variation in height-diameter allometries has been documented, the time consuming nature of measuring all tree heights in an inventory plot means that most studies do not include height, or else use generic pan-tropical or regional allometric equations to estimate height. 2. Using a pan-tropical dataset of 73 plots where at least 150 trees had in-field ground-based height measurements, we examined how the number of trees sampled affects the performance of locally derived height-diameter allometries, and evaluated the performance of different methods for sampling trees for height measurement. 3. Using cross-validation, we found that allometries constructed with just 20 locally measured values could often predict tree height with lower error than regional or climate-based allometries (mean reduction in prediction error = 0.46 m). The predictive performance of locally derived allometries improved with sample size, but with diminishing returns in performance gains when more than 40 trees were sampled. Estimates of stand-level biomass produced using local allometries to estimate tree height show no over- or under-estimation bias when compared with biomass estimates using field measured heights. We evaluated five strategies to sample trees for height measurement, and found that sampling strategies that included measuring the heights of the ten largest diameter trees in a plot outperformed (in terms of-resulting in local height-diameter models with low height prediction error) entirely random or diameter size-class stratified approaches. 4. Our results indicate that even limited sampling of heights can be used to refine height-diameter allometries. We recommend aiming for a conservative threshold of sampling 50 trees per location for height measurement, and including the ten trees with the largest diameter in this sample.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10618 - Ecology

Project

<a href="/en/project/LG15051" target="_blank" >LG15051: Czech participation in the SAFE Project</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Methods in Ecology and Evolution

ISSN

2041-210X

e-ISSN

—

Volume of the periodical

9

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

11

Pages from-to

1179-1189

UT code for WoS article

000431666300003

EID of the result in the Scopus database

2-s2.0-85041896662