Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F24%3A00599713" target="_blank" >RIV/86652079:_____/24:00599713 - isvavai.cz</a>
Alternative codes found
RIV/67985939:_____/24:00599713 RIV/60460709:41330/24:100064 RIV/00216208:11310/24:10486645
Result on the web
<a href="https://doi.org/10.1002/ecs2.70026" target="_blank" >https://doi.org/10.1002/ecs2.70026</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/ecs2.70026" target="_blank" >10.1002/ecs2.70026</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed
Original language description
Global mapping of forest height is an extremely important task for estimating habitat quality and modeling biodiversity. Recently, three global canopy height maps have been released, the global forest canopy height map (GFCH), the high-resolution canopy height model of the Earth (HRCH), and the global map of tree canopy height (GMTCH). Here, we assessed their accuracy and usability for biodiversity modeling. We examined their accuracy by comparing them with the reference canopy height models derived from airborne laser scanning (ALS). Our results show considerable differences between the evaluated maps. The root mean square error ranged between 10 and 18 m for GFCH, 9-11 m for HRCH, and 10-17 m for GMTCH, respectively. GFCH and GMTCH consistently underestimated the height of all canopies regardless of their height, while HRCH tended to overestimate the height of low canopies and underestimate tall canopies. Biodiversity models using predicted global canopy height maps as input data are sufficient for estimating simple relationships between species occurrence and canopy height, but their use leads to a considerable decrease in the discrimination ability of the models and to mischaracterization of species niches where derived indices (e.g., canopy height heterogeneity) are concerned. We showed that canopy height heterogeneity is considerably underestimated in the evaluated global canopy height maps. We urge that for temperate areas rich in ALS data, activities should concentrate on harmonizing ALS canopy height maps rather than relying on modeled global products.
Czech name
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Czech description
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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
10618 - Ecology
Result continuities
Project
<a href="/en/project/SS02030018" target="_blank" >SS02030018: Center for Landscape and Biodiversity</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecosphere
ISSN
2150-8925
e-ISSN
2150-8925
Volume of the periodical
15
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
e70026
UT code for WoS article
001330430100001
EID of the result in the Scopus database
2-s2.0-85206365796