The use of GEDI canopy structure for explaining variation in tree species richness in natural forests
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91605" target="_blank" >RIV/60460709:41330/22:91605 - isvavai.cz</a>
Result on the web
<a href="https://iopscience.iop.org/article/10.1088/1748-9326/ac583f/meta" target="_blank" >https://iopscience.iop.org/article/10.1088/1748-9326/ac583f/meta</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1748-9326/ac583f" target="_blank" >10.1088/1748-9326/ac583f</a>
Alternative languages
Result language
čeština
Original language name
The use of GEDI canopy structure for explaining variation in tree species richness in natural forests
Original language description
Variables describing the abiotic environment (e.g. climate, topography or biogeographic history) have a long tradition of use as predictors of tree species richness patterns. However, these variables may capture variations in richness related to climate, but not those that are related to soil type or forest disturbance. Canopy structure has previously been shown to provide information on the variation of tree species richness, with richness generally increasing with larger canopy heights and denser foliage. The use of canopy structure is increasingly relevant with the availability of such data from the Global Ecosystem Dynamics Investigation (GEDI), a lidar mission onboard the International Space Station. In this analysis we show that GEDI canopy structure explains up to 66 percent of the variation in tree species richness in natural forests without a history of recent disturbance across the globe. However, this portion overlaps with the variation (up to 80 percent) explained by environmental and bio
Czech name
The use of GEDI canopy structure for explaining variation in tree species richness in natural forests
Czech description
Variables describing the abiotic environment (e.g. climate, topography or biogeographic history) have a long tradition of use as predictors of tree species richness patterns. However, these variables may capture variations in richness related to climate, but not those that are related to soil type or forest disturbance. Canopy structure has previously been shown to provide information on the variation of tree species richness, with richness generally increasing with larger canopy heights and denser foliage. The use of canopy structure is increasingly relevant with the availability of such data from the Global Ecosystem Dynamics Investigation (GEDI), a lidar mission onboard the International Space Station. In this analysis we show that GEDI canopy structure explains up to 66 percent of the variation in tree species richness in natural forests without a history of recent disturbance across the globe. However, this portion overlaps with the variation (up to 80 percent) explained by environmental and bio
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental Research Letters
ISSN
1748-9326
e-ISSN
1748-9326
Volume of the periodical
17
Issue of the periodical within the volume
4
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
16
Pages from-to
1-16
UT code for WoS article
000766873500001
EID of the result in the Scopus database
2-s2.0-85126394803