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Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F23%3A00575509" target="_blank" >RIV/67985939:_____/23:00575509 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41330/23:97307 RIV/00216208:11310/23:10453723

  • Result on the web

    <a href="https://doi.org/10.1111/ddi.13644" target="_blank" >https://doi.org/10.1111/ddi.13644</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/ddi.13644" target="_blank" >10.1111/ddi.13644</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward

  • Original language description

    Ecosystem structure, especially vertical vegetation struc-ture, is one of the six essential biodiversity variable classes and is an important aspect of habitat heterogeneity, affect-ing species distributions and diversity by providing shelter, foraging, and nesting sites. Point clouds from airborne laser scanning (ALS) can be used to derive such detailed in-formation on vegetation structure. However, public agen-cies usually only provide digital elevation models, which do not provide information on vertical vegetation structure. Calculating vertical structure variables from ALS point clouds requires extensive data processing and remote sensing skills that most ecologists do not have. However, such information on vegetation structure is extremely valuable for many analyses of habitat use and species dis-tribution. We here propose 10 variables that should be easily accessible to researchers and stakeholders through national data portals. In addition, we argue for a consistent selection of variables and their systematic testing, which would allow for continuous improvement of such a list to keep it up-to- date with the latest evidence. This initiative is particularly needed not only to advance ecological and biodiversity research by providing valuable open datasets but also to guide potential users in the face of increasing availability of global vegetation structure 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/GA20-28119S" target="_blank" >GA20-28119S: Microclimate instead of macroclimate: a key to more realistic species distribution modelling</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Diversity and Distributions

  • ISSN

    1366-9516

  • e-ISSN

    1472-4642

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    39-50

  • UT code for WoS article

    000876185700001

  • EID of the result in the Scopus database

    2-s2.0-85141221727