From zero to infinity: Minimum to maximum diversity of the planet by spatio-parametric Rao’s quadratic entropy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A87007" target="_blank" >RIV/60460709:41330/21:87007 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13270" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1111/geb.13270</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/geb.13270" target="_blank" >10.1111/geb.13270</a>

Jazyk výsledku

angličtina

Název v původním jazyce

From zero to infinity: Minimum to maximum diversity of the planet by spatio-parametric Rao’s quadratic entropy

Popis výsledku v původním jazyce

im The majority of work done to gather information on the Earths biodiversity has been carried out using in-situ data, with known issues related to epistemology (e.g., species determination and taxonomy), spatial uncertainty, logistics (time and costs), among others. An alternative way to gather information about spatial ecosystem variability is the use of satellite remote sensing. It works as a powerful tool for attaining rapid and standardized information. Several metrics used to calculate remotely sensed diversity of ecosystems are based on Shannons information theory, namely on the differences in relative abundance of pixel reflectances in a certain area. Additional metrics like the Raos quadratic entropy allow the use of spectral distance beside abundance, but they are point descriptors of diversity, that is they can account only for a part of the whole diversity continuum. The aim of this paper is thus to generalize the Raos quadratic entropy by proposing its parameterization for the first time

Název v anglickém jazyce

From zero to infinity: Minimum to maximum diversity of the planet by spatio-parametric Rao’s quadratic entropy

Popis výsledku anglicky

im The majority of work done to gather information on the Earths biodiversity has been carried out using in-situ data, with known issues related to epistemology (e.g., species determination and taxonomy), spatial uncertainty, logistics (time and costs), among others. An alternative way to gather information about spatial ecosystem variability is the use of satellite remote sensing. It works as a powerful tool for attaining rapid and standardized information. Several metrics used to calculate remotely sensed diversity of ecosystems are based on Shannons information theory, namely on the differences in relative abundance of pixel reflectances in a certain area. Additional metrics like the Raos quadratic entropy allow the use of spectral distance beside abundance, but they are point descriptors of diversity, that is they can account only for a part of the whole diversity continuum. The aim of this paper is thus to generalize the Raos quadratic entropy by proposing its parameterization for the first time

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

GLOBAL ECOLOGY AND BIOGEOGRAPHY

ISSN

1466-822X

e-ISSN

1466-8238

Svazek periodika

30

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

1153-1162

Kód UT WoS článku

000628833700001

EID výsledku v databázi Scopus

2-s2.0-85102616452