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Naslov:Decomposition of Whittaker’s gamma diversity : a novel way combining entropies and divergences
Avtorji:ID Vascotto, Ivano (Avtor)
ID Agnetta, Davide (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://doi.org/10.1016/j.ecolmodel.2025.111317
 
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MD5: 2ED9285E7CB1DDCF25FDF2CF99B12B4E
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo NIB - Nacionalni inštitut za biologijo
Povzetek:Accurate, standardized, and comparable methods for estimating biodiversity are crucial in ecology to properly assess and monitor the health of communities. Special cases of generalized entropy are commonly used to estimate alpha diversity. The related concept of generalized divergence can be used to estimate the beta diversity. Using cross entropy notion, we propose a modular decomposition of gamma diversity by using entropy and divergence functions. We prove that if alpha is Shannon entropy and beta is Kullback-Liebler divergence, the classical Whittaker’s gamma diversity is mathematically decomposed via our proposed local gamma index. To show the ecological application of this index and its generalization we compute the local gamma of several orders using a real large biological dataset. The index is discussed in detail for two limit cases, one where the contribution of rare species is the highest and one where richness and evenness are balanced. The index defines a gradient from communities that are dominated by a few common species toward samples shared among several uncommon ones. Our findings support divergence-based measures as practical estimators of beta diversity. Also, the framework here proposed, based on entropy, divergences and cross-entropies, allows us to compute the classic gamma diversity while providing components that are independent, comparable, self-reliant and pointwise distributed.
Ključne besede:biodiversity, entropy, ecology, computational modelling
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:19.06.2025
Datum sprejetja članka:13.08.2025
Datum objave:01.12.2025
Leto izida:2025
Št. strani:str. [1]-10
Številčenje:Vol. 510, [article no.] 111317
PID:20.500.12556/DiRROS-23966 Novo okno
UDK:574.1
ISSN pri članku:0304-3800
DOI:10.1016/j.ecolmodel.2025.111317 Novo okno
COBISS.SI-ID:255046403 Novo okno
Datum objave v DiRROS:28.10.2025
Število ogledov:202
Število prenosov:114
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Gradivo je del revije

Naslov:Ecological modelling
Skrajšan naslov:Ecol. model.
Založnik:Elsevier
ISSN:0304-3800
COBISS.SI-ID:26792960 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:biološka raznovrstnost, entropija, ekologija, računalniško modeliranje


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