Estimating occupancy of a data deficient mammalian species living in tropical rainforests: Sun bears in the Kerinci Seblat region, Sumatra

Linkie, Matthew; Dinata, Yoan; Nugroho, Agung; Haidir, Iding A.

doi:10.1016/j.biocon.2007.01.016

Cited by 166 publications

(136 citation statements)

References 17 publications

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“…We used Akaike model weight to determine relative evidence in favour of each model, and summed weights to determine the relative influence of site-specific covariates (Burnham and Anderson, 2002;MacKenzie et al, 2006). We model averaged maximum likelihood parameter estimates (w and q) from all models with >0.01 Akaike weight (Linkie et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

“…However, carnivores are inherently elusive, so failure to detect them when present is a common source of survey bias (Karanth and Nichols, 2002;Linkie et al, 2007). Furthermore, heterogeneous detectability confounds inference of spatial and temporal patterns unless properly accounted for (Karanth and Nichols, 2002;MacKenzie et al, 2002MacKenzie et al, , 2006.…”

Section: Introductionmentioning

confidence: 99%

“…Examples include amphibians (MacKenzie et al, 2002;Mattfeldt et al, 2009;Sewell et al, 2010), birds (e.g. Watson et al, 2008) and mammals (Linkie et al, 2007;Thorn et al, 2009). Occupancy surveys have been implemented world-wide, at scales ranging from small habitat patches to the whole of India (Karanth et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Brown hyaenas on roads: Estimating carnivore occupancy and abundance using spatially auto-correlated sign survey replicates

Thorn

Green

Bateman

et al. 2011

Biological Conservation

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a b s t r a c tCarnivore survey protocols that properly address spatial sampling and detectability issues are seldom feasible at a landscape-scale. This limits knowledge of large-scale patterns in distribution, abundance and their underlying determinants, hindering conservation of globally threatened carnivore populations. Occupancy analysis of data from logistically efficient sign surveys along consecutive road segments (spatially auto-correlated replicates) offers a potential solution. We adapted and applied this newly-developed method over 62,979 km 2 of human-modified land in South Africa. Our aims were to (1) generate unbiased estimates of brown hyaena occupancy and abundance (2) investigate two suspected determinants of occupancy using a combination of biological and socio-economic sampling techniques, and (3) use simulations to evaluate the effort required for abundance and occupancy estimates with acceptable bias, precision and power. Brown hyaena occupancy was estimated at 0.748 (±SE 0.1), and estimated overall density in agricultural land (0.15/100 km 2 , ±SE 0.08) was an order of magnitude lower than in protected areas. Positive attitudes to carnivores and presence of wildlife farms exerted strong positive effects on occupancy, so changes in these factors may well exert monotonic impacts on local metapopulation status. Producing reliable occupancy and abundance estimates would require P6 replicates and P12 replicates per site respectively. Detecting 50% and 30% declines in brown hyaena occupancy with adequate power would require five annual surveys at P65 sites and P125 sites respectively. Our results suggest that protocols based on spatially auto-correlated sign survey replicates could be used to monitor carnivore populations at large, and possibly even country-wide spatial scales.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Brown hyaenas on roads: Estimating carnivore occupancy and abundance using spatially auto-correlated sign survey replicates

Thorn

Green

Bateman

et al. 2011

Biological Conservation

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“…Several studies have investigated how biotic and abiotic features affect mammal distribution (e.g., Kinnaird and O'Brien 2012, Linkie et al 2007, Sunarto et al 2012. Likewise, habitat use in sympatric species is also frequently studied in tropical communities (e.g., Kinnaird and O'Brien 2012, Sollmann et al 2012, Ahumada et al 2013, Schuette et al 2013.…”

Section: Introductionmentioning

confidence: 99%

Influence of vegetation physiognomy, elevation and fire frequency on medium and large mammals in two protected areas of the Espinhaço Range

Pinho

Ferreira

Paglia³

2017

Zoologia

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ABSTRACT. The objectives of this study were to determine the richness of medium and large mammal species in two protected areas of the Espinhaço Mountain Range, state of Minas Gerais, Brazil; and to investigate the factors affecting the occurrence of those species. To accomplish that we placed 49 camera traps activated by heat and motion at Rio Preto State Park (RPSP) and 48 at Sempre Vivas National Park (SVNP). We also collected data on three environmental variables: vegetation physiognomy, elevation and wildfire frequency, to evaluate the influence of these factors on species richness and use intensity (inferred from camera trap detection rate) by large mammals. We recorded 23 large mammal species in the two parks combined. The lowest species richness was found at the rupestrian habitat of RPSP, and in the open grasslands of SVNP. The forest and savannah physiognomies were used more intensively by large mammals. Species richness was higher and use was greater at lower elevations of RPSP. In SVNP, fire frequency did not affect species richness or use intensity. The savannah habitat had very similar richness compared to the forests of the two protected areas. The high species richness and use intensity observed in these forest habitats highlights the importance of riparian environments in the Cerrado biome. The highest species richness and use intensity observed at low elevation follows patterns found in the literature, probably due to variation in the vegetation, which results in greater resource availability. Although rupestrian habitats at high elevations of the Espinhaço Range are known to have a high degree of endemism for some taxa, large mammal richness and use were not high in this habitat. These results indicate that the protection of native vegetation at lower elevations is crucial for the long-term conservation of large mammals in the Espinhaço Range. KEY WORDS. Cerrado, campo rupestre, species richness, use of habitat, wildfire.

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“…pegadas e fezes). Para tanto, essa modelagem estima, simultaneamente, um parâmetro denominado ocupação (probabilidade de um sítio ser ocupado pela espécie alvo) e um parâmetro denominado detecção (probabilidade de detectar a espécie alvo dado que ela está presente) (Linkie et al 2007;McShea et al 2009;O`Connell & Bailey, 2011). Esta separação é importante, pois muitas espécies, particularmente as mais raras, embora presentes, podem não ser detectadas pelo pesquisador, gerando falsas ausências.…”

Section: Modelagem Da Probabilidade De Ocupaçãounclassified

Ocupação de paisagens dentro e fora de unidades de conservação pelo veado-catingueiro (Mazama gouazoubira Fischer, 1814) no nordeste paulista

Rodrigues¹

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Estimating occupancy of a data deficient mammalian species living in tropical rainforests: Sun bears in the Kerinci Seblat region, Sumatra

Cited by 166 publications

References 17 publications

Brown hyaenas on roads: Estimating carnivore occupancy and abundance using spatially auto-correlated sign survey replicates

Brown hyaenas on roads: Estimating carnivore occupancy and abundance using spatially auto-correlated sign survey replicates

Influence of vegetation physiognomy, elevation and fire frequency on medium and large mammals in two protected areas of the Espinhaço Range

Ocupação de paisagens dentro e fora de unidades de conservação pelo veado-catingueiro (Mazama gouazoubira Fischer, 1814) no nordeste paulista

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