Practical utility of new classes of species distribution models
Grant number: DP180101852 | Funding period: 2018 - 2021
This project aims to improve species distribution modelling practice by developing new tools and determining the net value of competing approaches under realistic data-availability scenarios and for real applications. Expected outcomes are clear protocols for using process-based distribution models in biodiversity management. This will have significant benefits, such as equipping researchers, governments and land managers with tools and guidance necessary for better prediction of distributions, enabling them to efficiently allocate public resources while also protecting biodiversity and natural assets.
Related publications (3)
Can dynamic occupancy models improve predictions of species' range dynamics? A test using Swiss birds
Natalie J Briscoe, Damaris Zurell, Jane Elith, Christian Koenig, Guillermo Fandos, Anne-Kathleen Malchow, Marc Kery, Hans Schmid, Gurutzeta Guillera-Arroita
Predictions of species' current and future ranges are needed to effectively manage species under environmental change. Species ran..
steps: Software for spatially and temporally explicit population simulations
Casey Visintin, Natalie J Briscoe, Skipton NC Woolley, Pia E Lentini, Reid Tingley, Brendan A Wintle, Nick Golding
Species population dynamics are driven by spatial and temporal changes in the environment, anthropogenic activities and conservati..
Forecasting species range dynamics with process-explicit models: matching methods to applications
Natalie J Briscoe, Jane Elith, Roberto Salguero-Gomez, Jose J Lahoz-Monfort, James S Camac, Katherine M Giljohann, Matthew H Holden, Bronwyn A Hradsky, Michael R Kearney, Sean M McMahon, Ben L Phillips, Tracey J Regan, Jonathan R Rhodes, Peter A Vesk, Brendan A Wintle, Jian DL Yen, Gurutzeta Guillera-Arroita
Knowing where species occur is fundamental to many ecological and environmental applications. Species distribution models (SDMs) a..