Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jaime Ashander"'
Autor:
Abigail S. L. Lewis, Christine R. Rollinson, Andrew J. Allyn, Jaime Ashander, Stephanie Brodie, Cole B. Brookson, Elyssa Collins, Michael C. Dietze, Amanda S. Gallinat, Noel Juvigny‐Khenafou, Gerbrand Koren, Daniel J. McGlinn, Hassan Moustahfid, Jody A. Peters, Nicholas R. Record, Caleb J. Robbins, Jonathan Tonkin, Glenda M. Wardle
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 3, Pp 746-756 (2023)
Abstract Ecological forecasting provides a powerful set of methods for predicting short‐ and long‐term change in living systems. Forecasts are now widely produced, enabling proactive management for many applied ecological problems. However, despi
Externí odkaz:
https://doaj.org/article/d9051fed63e7499bb97b4e4fd3b061fb
Autor:
Michael C. Dietze, R. Quinn Thomas, Jody Peters, Carl Boettiger, Gerbrand Koren, Alexey N. Shiklomanov, Jaime Ashander
Publikováno v:
Ecosphere, Vol 14, Iss 11, Pp n/a-n/a (2023)
Abstract This paper summarizes the open community conventions developed by the Ecological Forecasting Initiative (EFI) for the common formatting and archiving of ecological forecasts and the metadata associated with these forecasts. Such open standar
Externí odkaz:
https://doaj.org/article/73136c4054164feab162425efdd0de25
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 11, p e1006581 (2018)
In this paper we describe how to efficiently record the entire genetic history of a population in forwards-time, individual-based population genetics simulations with arbitrary breeding models, population structure and demography. This approach drama
Externí odkaz:
https://doaj.org/article/b561a82c45114a1585dc47a75dcd2bc7
Autor:
María R. Felipe-Lucia, Angela M. Guerrero, Steven M. Alexander, Jaime Ashander, Jacopo A. Baggio, Michele L. Barnes, Örjan Bodin, Aletta Bonn, Marie-Josée Fortin, Rachel S. Friedman, Jessica A. Gephart, Kate J. Helmstedt, Aislyn A. Keyes, Kailin Kroetz, François Massol, Michael J.O. Pocock, Jesse Sayles, Ross M. Thompson, Spencer A. Wood, Laura E. Dee
Publikováno v:
Trends in Ecology and Evolution
Trends in Ecology and Evolution, 2022, 37 (3), pp.211-222. ⟨10.1016/j.tree.2021.11.012⟩
Trends in Ecology and Evolution, 2022, 37 (3), pp.211-222. ⟨10.1016/j.tree.2021.11.012⟩
Social-ecological networks (SENs) represent the complex relationships between ecological and social systems and are a useful tool for analyzing and managing ecosystem services. However, mainstreaming the application of SENs in ecosystem service resea
This document summarizes the open community standards developed by the Ecological Forecasting Initiative (EFI) for the common formatting and archiving of ecological forecasts and the metadata associated with these forecasts. Such open standards are i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::250235b9ff6c94699c52d179ca691cc7
https://ecoevorxiv.org/9dgtq
https://ecoevorxiv.org/9dgtq
Autor:
Jaime Ashander, Kailin Kroetz, Rebecca Epanchin-Niell, Nicholas B. D. Phelps, Robert G. Haight, Laura E. Dee
Complex socio-environmental interdependencies drive biological invasions, causing damages across large spatial scales. For widespread invasions, targeting of management activities based on optimization approaches may fail due to computational or data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e582036ddf9e63c70476940de9b6c5bb
Publikováno v:
Theoretical Ecology, vol 12, iss 2
Ashander, Jaime; Thompson, Lisa C; Sanchirico, James N; & Baskett, Marissa L. (2019). Optimal Investment to Enable Evolutionary Rescue. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/66z123wg
Ashander, Jaime; Thompson, Lisa C; Sanchirico, James N; & Baskett, Marissa L. (2019). Optimal Investment to Enable Evolutionary Rescue. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/66z123wg
'Evolutionary rescue' is the potential for evolution to enable population persistence in a changing environment. Even with eventual rescue, evolutionary time lags can cause the population size to temporarily fall below a threshold susceptible to exti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::946444e1fbb270e51b777adb22b7f318
https://escholarship.org/uc/item/66z123wg
https://escholarship.org/uc/item/66z123wg
In this paper, we study the general problem of extracting information from spatially explicit genomic data to inform inference of ecologically and geographically realistic population models. We describe methods and apply them to simulations motivated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::606a874dc8dc16aadd69a22492d90acc
Autor:
Joshua M. Hull, Jaime Ashander, Jason F. Shogren, Matthew S. Savoca, Ronald R. Swaisgood, Daphne A. Gille, Katharine M. Tomalty, Breanna J. Putman, Bernie May, Mariah H. Meek, Lauren Yamane, Caitlin P. Wells, Jonathan P. Rose, Deborah L. Rogers, Esther M. Cole, Erica Bree Rosenblum
Publikováno v:
Biological Conservation. 184:209-217
The potential for extirpation of extremely small populations (ESPs) is high due to their vulnerability to demographic and environmental stochasticity and negative impacts of human activity. We argue that conservation actions that could aid ESPs are s
Publikováno v:
The American Naturalist. 182:640-652
The exchange of native pathogens between wild and domesticated animals can lead to novel disease threats to wildlife. However, the dynamics of wild host-parasite systems exposed to a reservoir of domesticated hosts are not well understood. A simple m