6 documents found, page 1 of 1
Risk response towards roads is consistent across multiple species in a temperat...
Bastianelli, Matteo Luca; Hoermann, Christian von; Kirchner, Katrin; Signer, Johannes; Dupke, Claudia; Henrich, Maik; Wielgus, ElodieRoads can have diverse impacts on wildlife species, and while some species may adapt effectively, others may not. Studying multiple species’ responses to the same infrastruc- ture in a given area can help understand this variation and reveal the effects of distur- bance on the ecology of wildlife communities. This study investigates the behavioural responses of four species with distinctive ecological and behav...
The PREDICTS database: A global database of how local terrestrial biodiversity ...
Hudson, Lawrence N.; Newbold, Tim; Contu, Sara; Hill, Samantha L.L.; Lysenko, Igor; Palma, Adriana de; Phillips, Helen R.P.; Senior, Rebecca A.Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodivers...
Standards for distribution models in biodiversity assessments
Araújo, Miguel B.; Anderson, Robert P.; Barbosa, A. M.; Beale, Colin M.; Dormann, Carsten F.; Early, Regan; Garcia, Raquel A.; Guisan, AntoineDemand for models in biodiversity assessments is rising, but which models are adequate for the task? We propose a set of best-practice standards and detailed guidelines enabling scoring of studies based on species distribution models for use in biodiversity assessments. We reviewed and scored 400 modeling studies over the past 20 years using the proposed standards and guidelines. We detected low model adequacy ...
Outstanding Challenges in the Transferability of Ecological Models
Yates, Katherine L.; Bouchet, Phil J.; Caley, M. Julian; Mengersen, Kerrie; Randin, Christophe F.; Parnell, Stephen; Fielding, Alan H.Predictive models are central to many scientific disciplines and vital for informing management in a rapidly changing world. However, limited understanding of the accuracy and precision of models transferred to novel conditions (their ‘trans- ferability’) undermines confidence in their predictions. Here, 50 experts identified priority knowledge gaps which, if filled, will most improve model transfers. These are...
The PREDICTS database: a global database of how local terrestrial biodiversity ...
Hudson, Lawrence N.; Newbold, Tim; Contu, Sara; Hill, Samantha L. L.; Lysenko, Igor; De Palma, Adriana; Phillips, Helen R. P.; Senior, Rebecca A.Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodivers...
The PREDICTS database: a global database of how local terrestrial biodiversity ...
Hudson, Lawrence N.; Newbold, Tim; Contu, Sara; Hill, Samantha L.L.; Lysenko, Igor; De Palma, Adriana; Phillips, Helen R.P.; Senior, Rebecca A.Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodivers...