Zobrazeno 1 - 10
of 70
pro vyhledávání: '"José J Lahoz-Monfort"'
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0247400 (2021)
Traffic disturbances (i.e. pollution, light, noise, and vibrations) often extend into the area surrounding a road creating a 'road-effect zone'. Habitat within the road-effect zone is degraded or, in severe cases, completely unsuitable for wildlife,
Externí odkaz:
https://doaj.org/article/21590513191c44bc9010b2b4bbbc9249
Autor:
Luke D Einoder, Darren M Southwell, José J Lahoz-Monfort, Graeme R Gillespie, Alaric Fisher, Brendan A Wintle
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0206373 (2018)
[This corrects the article DOI: 10.1371/journal.pone.0203304.].
Externí odkaz:
https://doaj.org/article/fde676ff2a6c475eafa0058085712909
Autor:
Luke D Einoder, Darren M Southwell, José J Lahoz-Monfort, Graeme R Gillespie, Alaric Fisher, Brendan A Wintle
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0203304 (2018)
Understanding where species occur and how difficult they are to detect during surveys is crucial for designing and evaluating monitoring programs, and has broader applications for conservation planning and management. In this study, we modelled occup
Externí odkaz:
https://doaj.org/article/9d9e1527af224efdac5ce1a41761b9b1
Autor:
Gurutzeta Guillera-Arroita, José J Lahoz-Monfort, Darryl I MacKenzie, Brendan A Wintle, Michael A McCarthy
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e99571 (2014)
In a recent paper, Welsh, Lindenmayer and Donnelly (WLD) question the usefulness of models that estimate species occupancy while accounting for detectability. WLD claim that these models are difficult to fit and argue that disregarding detectability
Externí odkaz:
https://doaj.org/article/201212ba9a184bf683ee8f6058467714
Autor:
Hariyo T Wibisono, Matthew Linkie, Gurutzeta Guillera-Arroita, Joseph A Smith, Sunarto, Wulan Pusparini, Asriadi, Pandu Baroto, Nick Brickle, Yoan Dinata, Elva Gemita, Donny Gunaryadi, Iding A Haidir, Herwansyah, Indri Karina, Dedy Kiswayadi, Decki Kristiantono, Harry Kurniawan, José J Lahoz-Monfort, Nigel Leader-Williams, Tom Maddox, Deborah J Martyr, Maryati, Agung Nugroho, Karmila Parakkasi, Dolly Priatna, Eka Ramadiyanta, Widodo S Ramono, Goddilla V Reddy, Ente J J Rood, Doddy Y Saputra, Ahmad Sarimudi, Adnun Salampessy, Eka Septayuda, Tonny Suhartono, Ade Sumantri, Susilo, Iswandri Tanjung, Tarmizi, Koko Yulianto, Mohammad Yunus, Zulfahmi
Publikováno v:
PLoS ONE, Vol 6, Iss 11, p e25931 (2011)
Large carnivores living in tropical rainforests are under immense pressure from the rapid conversion of their habitat. In response, millions of dollars are spent on conserving these species. However, the cost-effectiveness of such investments is poor
Externí odkaz:
https://doaj.org/article/bd73d0ffb22d4cf880b6162b1f06b551
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 3, Pp 898-910 (2023)
Abstract Hierarchical N‐mixture models have been suggested for abundance estimation from spatiotemporally replicated drone‐based count surveys, since they allow modeling abundance of unmarked individuals while accounting for detection errors. How
Externí odkaz:
https://doaj.org/article/937376276d714ac38d772762b593a00b
Autor:
Ismael V. Brack, Andreas Kindel, Douglas O. Berto, José L. P. Cordeiro, Igor P. Coelho, José J. Lahoz-Monfort, Luiz F. B. de Oliveira
Publikováno v:
Biodiversity and Conservation. 32:1291-1308
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecd97c5491f5a96dbd8c95172a1d528e
https://doi.org/10.1007/s10531-023-02553-7
https://doi.org/10.1007/s10531-023-02553-7
Publikováno v:
Ecography. 44:1731-1742
O_LIThe Random Forest (RF) algorithm is an ensemble of classification or regression trees, and is a widely used and high-performing machine learning technique. It is increasingly used for species distribution modelling (SDM). Many researchers use imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1decbb88e3a3ed8a44eb638b2c5fb1b8
https://doi.org/10.1111/ecog.05615
https://doi.org/10.1111/ecog.05615
Publikováno v:
Bioscience
The range of technologies currently used in biodiversity conservation is staggering, with innovative uses often adopted from other disciplines and being trialed in the field. We provide the first comprehensive overview of the current (2020) landscape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1624543c44c547edbc12e0e6258c1c34
https://doi.org/10.1093/biosci/biab073
https://doi.org/10.1093/biosci/biab073
Publikováno v:
Wildlife Research. 48:625-634
Context The development of reliable and cost-efficient survey techniques is key to the monitoring of all wildlife. One group of species that presents particular challenges for monitoring is the arboreal mammals. Traditional techniques for detecting t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd931cfca4d1a129038e9c495bd8a0f8
https://doi.org/10.1071/wr20120
https://doi.org/10.1071/wr20120