J 2009

An evaluation of field and noninvasive genetic methods for estimating Eurasian otter population size

HÁJKOVÁ, Petra, Barbora ZEMANOVÁ, Kevin ROCHE a Bedrich HAJEK

Základní údaje

Originální název

An evaluation of field and noninvasive genetic methods for estimating Eurasian otter population size

Autoři

HÁJKOVÁ, Petra (203 Česká republika, garant, domácí), Barbora ZEMANOVÁ (203 Česká republika, domácí), Kevin ROCHE a Bedrich HAJEK

Vydání

Conservation Genetics, Kluwer Academic Publishers, 2009, 1566-0621

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10603 Genetics and heredity

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 1.849

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000272374100004

Klíčová slova anglicky

Lutra lutra; Abundance; Noninvasive genetic sampling; Faecal DNA; Capture-mark-recapture; Snow tracking

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 15. 6. 2020 12:36, Mgr. Marie Šípková, DiS.

Anotace

V originále

Successful conservation and management of rare and elusive species requires reliable estimates of population size, but acquisition of such data is often challenging. We compare the two most frequently used methods of assessing abundance of Eurasian otter (Lutra lutra) populations, noninvasive genetic sampling (NGS) based on genotyping of faeces and field surveys using snow tracking. In a 100-km(2) oligotrophic otter habitat with linear water bodies, both methods yielded very similar estimates (10-12 individuals). However, in a 100-km(2) fishpond area, consisting of a complex network of rivers, fishponds, channels and marshes, genotyping of faeces revealed the presence of a higher number of individuals (46-50 genotypes) than the snow survey (38 individuals). NGS data analysed by capture-mark-recapture (CMR)-based software CAPWIRE provided even higher estimates, being twice the number assessed through snow tracking (76-81 individuals, CI(95%) = 49-96 and 55-89). Our results suggest that the performance of both NGS and snow tracking is comparable in simple linear habitats, but in complex habitats with very high otter density a combination of genetic and field methods, or CMR analysis using genetic data, is recommended. We emphasise that to obtain reliable estimates using NGS it is necessary to follow strict protocols for detection and elimination of genotyping errors. Based on a literature review and our experience, we suggest improvements that may increase the success rate and efficiency of NGS for otters.

Návaznosti

LC06073, projekt VaV
Název: Centrum pro výzkum biodiverzity
Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum pro výzkum biodiverzity