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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

  • Czech description

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