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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

<a href="/cs/project/GA20-28119S" target="_blank" >GA20-28119S: Nahrazení makroklimatu mikroklimatem: klíč k predikčnímu modelování rozšíření druhů blíže k realitě</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Diversity and Distributions

ISSN

1366-9516

e-ISSN

1472-4642

Svazek periodika

29

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

39-50

Kód UT WoS článku

000876185700001

EID výsledku v databázi Scopus

2-s2.0-85141221727