Zobrazeno 1 - 10
of 164
pro vyhledávání: '"J A, Monfort"'
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
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:
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
Autor:
S. Sirvain, J.-C. Monfort
Publikováno v:
NPG Neurologie - Psychiatrie - Gériatrie. 22:231-236
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35e8f7994af80be92058cbddcb5ad587
https://doi.org/10.1016/j.npg.2022.04.001
https://doi.org/10.1016/j.npg.2022.04.001
Autor:
Annabel L. Smith, Heini Kujala, José J. Lahoz‐Monfort, Lydia K. Guja, Emma L. Burns, Ran Nathan, Erika Alacs, Philip S. Barton, Sana Bau, Don A. Driscoll, Pia E. Lentini, Alessio Mortelliti, Ross Rowe, Yvonne M. Buckley
Publikováno v:
Conservation Letters, Vol 12, Iss 3, Pp n/a-n/a (2019)
Abstract Species’ movements affect their response to environmental change but movement knowledge is often highly uncertain. We now have well‐established methods to integrate movement knowledge into conservation practice but still lack a framework
Externí odkaz:
https://doaj.org/article/d4ccd35131aa418384beefae4d96cbf3
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
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
Autor:
J.-B. Monfort
Publikováno v:
EMC - AKOS - Trattato di Medicina. 23:1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4303b63915a9df8376abe5f5ab29bf0
https://doi.org/10.1016/s1634-7358(21)45512-9
https://doi.org/10.1016/s1634-7358(21)45512-9
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