The relationship between species and spectral diversity in grassland communities is mediated by their vertical complexity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F21%3A43903151" target="_blank" >RIV/60076658:12310/21:43903151 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985939:_____/21:00549655 RIV/60460709:41330/21:86986

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/avsc.12600" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1111/avsc.12600</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/avsc.12600" target="_blank" >10.1111/avsc.12600</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The relationship between species and spectral diversity in grassland communities is mediated by their vertical complexity

Popis výsledku v původním jazyce

Aims The link between spectral diversity and in-situ plant biodiversity is one promising approach to using remote sensing for biodiversity assessment. Nevertheless, there is little evidence as to whether this link is maintained at fine scales, as well as to how it is influenced by vegetation&apos;s vertical complexity. Here we test, at the community level in grasslands, the link between diversity of the spectral signal (S-Div) and taxonomic diversity (T-Div), and the influence of vertical complexity. Methods We used 196 1.5 m x 1.5 m experimental communities with different biodiversity levels. To measure vertical complexity, we quantified height diversity (H-Div) of the most abundant species in the community. T-Div was calculated using the Shannon index based on species cover. Canopy spectral information was gathered using an unmanned aerial vehicle (UAV) mounted with a multi-spectral sensor providing spectral information via six 10-nm bands covering the visible and near-infrared region at a spatial resolution of 3 cm. We measured S-Div in a core area of 1 m x1 m within the communities as mean Euclidean distance of all pixels in a feature space spanned between the two first components of a PCA calculated for the complete raster stack. We modelled S-Div through mixed-effect linear models, using T-Div, H-Div, and their interaction as fixed-effect predictors. Results Contrary to our expectations, T-Div was negatively linked to S-Div. The diversity in plant height was positively related to S-Div. More importantly, diversity in plant height and T-Div had a significant negative interaction, meaning the more complex the vegetation was in terms of height, the more the S-Div-T-Div relationship became negative. Conclusions Our results suggest that in order to exploit the S-Div-T-Div link for monitoring purposes, it needs to be contextualized. Moreover, the results highlight that communities&apos; functional characteristics (i.e. plant height) mediate such a link, calling for new insights into the relation between S-Div and functional diversity.

Název v anglickém jazyce

The relationship between species and spectral diversity in grassland communities is mediated by their vertical complexity

Popis výsledku anglicky

Aims The link between spectral diversity and in-situ plant biodiversity is one promising approach to using remote sensing for biodiversity assessment. Nevertheless, there is little evidence as to whether this link is maintained at fine scales, as well as to how it is influenced by vegetation&apos;s vertical complexity. Here we test, at the community level in grasslands, the link between diversity of the spectral signal (S-Div) and taxonomic diversity (T-Div), and the influence of vertical complexity. Methods We used 196 1.5 m x 1.5 m experimental communities with different biodiversity levels. To measure vertical complexity, we quantified height diversity (H-Div) of the most abundant species in the community. T-Div was calculated using the Shannon index based on species cover. Canopy spectral information was gathered using an unmanned aerial vehicle (UAV) mounted with a multi-spectral sensor providing spectral information via six 10-nm bands covering the visible and near-infrared region at a spatial resolution of 3 cm. We measured S-Div in a core area of 1 m x1 m within the communities as mean Euclidean distance of all pixels in a feature space spanned between the two first components of a PCA calculated for the complete raster stack. We modelled S-Div through mixed-effect linear models, using T-Div, H-Div, and their interaction as fixed-effect predictors. Results Contrary to our expectations, T-Div was negatively linked to S-Div. The diversity in plant height was positively related to S-Div. More importantly, diversity in plant height and T-Div had a significant negative interaction, meaning the more complex the vegetation was in terms of height, the more the S-Div-T-Div relationship became negative. Conclusions Our results suggest that in order to exploit the S-Div-T-Div link for monitoring purposes, it needs to be contextualized. Moreover, the results highlight that communities&apos; functional characteristics (i.e. plant height) mediate such a link, calling for new insights into the relation between S-Div and functional diversity.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Applied Vegetation Science

ISSN

1402-2001

e-ISSN

—

Svazek periodika

24

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

—

Kód UT WoS článku

000701239900003

EID výsledku v databázi Scopus

2-s2.0-85115825157