The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A97292" target="_blank" >RIV/60460709:41330/23:97292 - isvavai.cz</a>

Alternative codes found

RIV/67985939:_____/23:00573598 RIV/68145535:_____/23:00573598 RIV/00216224:14310/23:00134281 RIV/44555601:13520/23:43897651

Result on the web

<a href="http://dx.doi.org/10.1016/j.rse.2023.113591" target="_blank" >http://dx.doi.org/10.1016/j.rse.2023.113591</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rse.2023.113591" target="_blank" >10.1016/j.rse.2023.113591</a>

Result language

angličtina

Original language name

The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale

Original language description

Biodiversity monitoring is crucial for ecosystem conservation, but ground data collection is limited by cost, time, and scale. Remote sensing is a convenient approach providing frequent, near-real-time information with fine resolution over wide areas. According to the Spectral Variation Hypothesis (SVH), spectral diversity (SD) is an effective proxy of environmental heterogeneity, which ultimately relates to plant diversity. So far, studies testing the relationship between SD and biodiversity have reported contradictory findings, calling for a thorough investigation of the key factors (i.e., metrics applied, habitat type, scale, and temporal effects) and conditions under which such a relationship exists. This study investigates the applicability of the SVH for monitoring plant diversity at the landscape scale by comparing the performance of three types of SD metrics. Species richness and functional diversity were calculated for >2000 grid cells of 5 ' x 3 ' covering the Czech Republic. Within each cell, we quantified SD using a Landsat-8 greenest pixel composite by applying (i) the standard deviation of NDVI, (ii) Rao's Q entropy index and (iii) the richness of spectral communities. Habitat type (i.e., land cover) was included in the models of the relationship between SD and ground biodiversity. Both species richness and functional diversity showed positive and significant relationships with each SD metric tested. However, SD alone accounted for a small fraction of the deviance explained by the models. Furthermore, the strength of the relationship depended significantly on habitat type and was highest in natural areas with transitional bushy and herbaceous vegetation. Our results underline that despite the stability of the significance of the relationship between SD and plant diversity at this scale, the applicability of SD for biodiversity monitoring is contextdependent and the factors mediating such a relationship must be carefully considered to avoid misleading conclusions.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

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

Name of the periodical

Remote Sensing of Environment

ISSN

0034-4257

e-ISSN

0034-4257

Volume of the periodical

293

Issue of the periodical within the volume

113591

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

1-14

UT code for WoS article

000989649700001

EID of the result in the Scopus database

2-s2.0-85153567589