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
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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/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