Occupancy modelling

2014 ◽  
pp. 129-142
Keyword(s):  
Occupancy Modelling

Using environmental DNA and occupancy modelling to identify drivers of eastern hellbender (Cryptobranchus alleganiensis alleganiensis) extirpation

2018 ◽  
Vol 64 (1) ◽  
pp. 208-221 ◽  
Author(s):  
Sean M. Wineland ◽  
Shane M. Welch ◽  
Thomas K. Pauley ◽  
Joseph J. Apodaca ◽  
Max Olszack ◽  
...  
Keyword(s):  
Environmental Dna ◽  
Occupancy Modelling ◽  
Cryptobranchus Alleganiensis ◽  
Eastern Hellbender

scholarly journals Recommended survey designs for occupancy modelling using motion-activated cameras: insights from empirical wildlife data

PeerJ ◽  
2014 ◽  
Vol 2 ◽  
pp. e532 ◽  
Author(s):  
Graeme Shannon ◽  
Jesse S. Lewis ◽  
Brian D. Gerber
Keyword(s):  
Occupancy Modelling ◽  
Survey Designs

scholarly journals Prior specification in Bayesian occupancy modelling improves analysis of species occurrence data

2018 ◽  
Vol 93 ◽  
pp. 333-343 ◽  
Author(s):  
Charlotte L. Outhwaite ◽  
Richard E. Chandler ◽  
Gary D. Powney ◽  
Ben Collen ◽  
Richard D. Gregory ◽  
...  
Keyword(s):  
Species Occurrence ◽  
Occupancy Modelling ◽  
Prior Specification ◽  
Occurrence Data

Two‐species occupancy modelling accounting for species misidentification and non‐detection

2018 ◽  
Vol 9 (6) ◽  
pp. 1468-1477 ◽  
Author(s):  
Thierry Chambert ◽  
Evan H. Campbell Grant ◽  
David A. W. Miller ◽  
James D. Nichols ◽  
Kevin P. Mulder ◽  
...  
Keyword(s):  
Occupancy Modelling ◽  
Species Occupancy

scholarly journals Using occupancy models to assess the direct and indirect impacts of agricultural expansion on species’ populations

2020 ◽  
Vol 29 (13) ◽  
pp. 3669-3688
Author(s):  
Asunción Semper-Pascual ◽  
Julieta Decarre ◽  
Matthias Baumann ◽  
Micaela Camino ◽  
Yamil Di Blanco ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Direct Effect ◽  
Indirect Effects ◽  
Agricultural Land ◽  
Conservation Strategies ◽  
Agricultural Expansion ◽  
Direct And Indirect Effects ◽  
Occupancy Models ◽  
Occupancy Modelling

Abstract Land-use change is a global threat to biodiversity, but how land-use change affects species beyond the direct effect of habitat loss remains poorly understood. We developed an approach to isolate and map the direct and indirect effects of agricultural expansion on species of conservation concern, using the threatened giant anteater (Myrmecophaga tridactyla) in the Gran Chaco as an example. We reconstructed anteater occupancy change between 1985 and 2015 by fitting single-season occupancy models with contemporary camera-trap data and backcasting the models to 1985 and 2000 land-cover/use maps. Based on this, we compared the area of forest loss (direct effect of agricultural expansion) with the area where forests remained but occupancy still declined (indirect effect of agricultural expansion). Anteater occupancy decreased substantially since 1985, particularly after 2000 when agriculture expanded rapidly. Between 1985 and 2015, ~ 64,000 km2 of forest disappeared, yet occupancy declined across a larger area (~ 102,000 km2), extending far into seemingly untransformed habitat. This suggests that widespread sink habitat has emerged due to agricultural land-use change, and that species may lose their habitat through direct and indirect effects of agricultural expansion, highlighting the urgent need for broad-scale conservation planning in the Chaco. Appropriate management responses could proactively protect more habitat where populations are stable, and restore habitat or address causes of mortality in areas where declines occur. Our work also highlights how occupancy modelling combined with remote sensing can help to detect the direct and indirect effects of agricultural expansion, providing guidance for spatially targeting conservation strategies to halt extinctions.

scholarly journals New insights on bioindicator value of Chironomids by using occupancy modelling

2020 ◽  
Vol 117 ◽  
pp. 106619
Author(s):  
Agustina Cortelezzi ◽  
María V. Simoy ◽  
Augusto Siri ◽  
Mariano Donato ◽  
Rosana E. Cepeda ◽  
...  
Keyword(s):  
Occupancy Modelling

scholarly journals An approach for building occupancy modelling considering the urban context

2020 ◽  
Vol 183 ◽  
pp. 107126
Author(s):  
Huiqiao Hou ◽  
Jacek Pawlak ◽  
Aruna Sivakumar ◽  
Bianca Howard ◽  
John Polak
Keyword(s):  
Urban Context ◽  
Occupancy Modelling ◽  
Building Occupancy

Comparing profile methods and site-occupancy modelling for the study of occurrence of an elusive species

2011 ◽  
Vol 57 (5) ◽  
pp. 1115-1118 ◽  
Author(s):  
Jonathan Rolland ◽  
Mathieu Basille ◽  
Éric Marboutin ◽  
Jean-Michel Gaillard
Keyword(s):  
Site Occupancy ◽  
Occupancy Modelling ◽  
Elusive Species

scholarly journals Determining multi-species site use outside the protected areas of the Maasai Mara, Kenya, using false positive site-occupancy modelling

Oryx ◽  
2018 ◽  
Vol 54 (3) ◽  
pp. 395-404 ◽  
Author(s):  
Emily K. Madsen ◽  
Femke Broekhuis
Keyword(s):  
Protected Areas ◽  
False Positive ◽  
Site Occupancy ◽  
Occupancy Modelling ◽  
Term Survival ◽  
Acinonyx Jubatus ◽  
Human Presence ◽  
Site Use ◽  
Positive Site ◽  
Wild Dogs

AbstractAlthough protected areas are the basis for many conservation efforts they are rarely of an adequate size for the long-term survival of populations of large, wide-roaming mammals. In the Maasai Mara, Kenya, communally owned wildlife conservancies have been developed to expand the area available for wildlife. As these continue to develop it is important to ensure that the areas chosen are beneficial to wildlife. Using presence data for cheetahs Acinonyx jubatus, elephants Loxodonta africana, spotted hyaenas Crocuta crocuta, leopards Panthera pardus, lions Panthera leo and wild dogs Lycaon pictus, collected through interviews with 648 people living outside protected areas, we identify key wildlife areas using false positive site-occupancy modelling. The probabilities of site use were first determined per species based on habitat, distance to protected area, human presence and rivers, and these probabilities were then combined to create a map to highlight key wildlife areas. All species, except hyaenas, preferred sites closer to the protected areas but site use varied by species depending on habitat type. All six species avoided human presence. Leopards, elephants, lions and wild dogs preferred sites closer to rivers. The resulting combined map highlights areas that could potentially benefit from conservation efforts, including the expansion of wildlife areas, and areas where human development, such as a newly tarmacked road, could have an impact on wildlife.

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