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

J 2023

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

PERRONE, Michela; Di Febbraro MIRKO; Luisa CONTI; Jan DIVÍŠEK; Milan CHYTRÝ et. al.

Základní údaje

Originální název

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

Autoři

Vydání

REMOTE SENSING OF ENVIRONMENT, UNITED STATES, ELSEVIER SCIENCE INC, 2023, 0034-4257

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10511 Environmental sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 11.100

Kód RIV

RIV/00216224:14310/23:00134281

Organizační jednotka

Přírodovědecká fakulta

DOI

https://doi.org/10.1016/j.rse.2023.113591

UT WoS

000989649700001

EID Scopus

2-s2.0-85153567589

Klíčová slova anglicky

Biodiversity monitoring; Plant functional traits; Remote sensing; Species richness; Spectral variation hypothesis; Vascular plants

Štítky

14314020, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 24. 1. 2024 15:16, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

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.

Návaznosti

GX19-28491X, projekt VaV

Název: Centrum pro evropské vegetační syntézy (CEVS) (Akronym: CEVS)

Investor: Grantová agentura ČR, Centrum pro evropské vegetační syntézy (CEVS)

SS02030018, projekt VaV

Název: Centrum pro krajinu a biodiverzitu (Akronym: DivLand)

Investor: Technologická agentura ČR, Centrum pro krajinu a biodiverzitu

Citovat

PERRONE, Michela; Di Febbraro MIRKO; Luisa CONTI; Jan DIVÍŠEK; Milan CHYTRÝ; Petr KEIL; Maria Laura CARRANZA; Duccio ROCCHINI; Michele TORRESANI; Vitezslav MOUDRY; Petra SIMOVA; Dominika PRAJZLEROVA; Jana MULLEROVA; Jan WILD a Marco MALAVASI. The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale. REMOTE SENSING OF ENVIRONMENT. UNITED STATES: ELSEVIER SCIENCE INC, 2023, roč. 293, August, s. "113591", 14 s. ISSN 0034-4257. Dostupné z: https://doi.org/10.1016/j.rse.2023.113591.

@article{2336480,
   author = {Perrone, Michela and Mirko, Di Febbraro and Conti, Luisa and Divíšek, Jan and Chytrý, Milan and Keil, Petr and Carranza, Maria Laura and Rocchini, Duccio and Torresani, Michele and Moudry, Vitezslav and Simova, Petra and Prajzlerova, Dominika and Mullerova, Jana and Wild, Jan and Malavasi, Marco},
   article_location = {UNITED STATES},
   article_number = {August},
   doi = {https://doi.org/10.1016/j.rse.2023.113591},
   keywords = {Biodiversity monitoring; Plant functional traits; Remote sensing; Species richness; Spectral variation hypothesis; Vascular plants},
   language = {eng},
   issn = {0034-4257},
   journal = {REMOTE SENSING OF ENVIRONMENT},
   title = {The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale},
   url = {https://doi.org/10.1016/j.rse.2023.113591},
   volume = {293},
   year = {2023}
}

TY  - JOUR
ID  - 2336480
AU  - Perrone, Michela - Mirko, Di Febbraro - Conti, Luisa - Divíšek, Jan - Chytrý, Milan - Keil, Petr - Carranza, Maria Laura - Rocchini, Duccio - Torresani, Michele - Moudry, Vitezslav - Simova, Petra - Prajzlerova, Dominika - Mullerova, Jana - Wild, Jan - Malavasi, Marco
PY  - 2023
TI  - The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale
JF  - REMOTE SENSING OF ENVIRONMENT
VL  - 293
IS  - August
SP  - "113591"
EP  - "113591"
PB  - ELSEVIER SCIENCE INC
SN  - 00344257
KW  - Biodiversity monitoring
KW  - Plant functional traits
KW  - Remote sensing
KW  - Species richness
KW  - Spectral variation hypothesis
KW  - Vascular plants
UR  - https://doi.org/10.1016/j.rse.2023.113591
N2  - 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.
ER  -

PERRONE, Michela; Di Febbraro MIRKO; Luisa CONTI; Jan DIVÍŠEK; Milan CHYTRÝ; Petr KEIL; Maria Laura CARRANZA; Duccio ROCCHINI; Michele TORRESANI; Vitezslav MOUDRY; Petra SIMOVA; Dominika PRAJZLEROVA; Jana MULLEROVA; Jan WILD a Marco MALAVASI. The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale. \textit{REMOTE SENSING OF ENVIRONMENT}. UNITED STATES: ELSEVIER SCIENCE INC, 2023, roč.~293, August, s.~''113591'', 14 s. ISSN~0034-4257. Dostupné z: https://doi.org/10.1016/j.rse.2023.113591.

Přehled o publikaci