Zobrazeno 1 - 10
of 140
pro vyhledávání: '"computational ecology"'
Autor:
Mehmet Yavuz, Fuat Usta
Publikováno v:
AIMS Biophysics, Vol 10, Iss 3, Pp 258-262 (2023)
Mathematical modelling and simulation in biophysics and its applications in terms of both theoretical and biological/physical/ecological point of view arise in a number of research problems ranging from physical and chemical processes to biomathemati
Externí odkaz:
https://doaj.org/article/7719cb0f82f742caa21ff769be46e764
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
Despite global conservation efforts, biodiversity continues to decline, causing many species to face extinction. These efforts include designing protected areas to function as ecologically connected networks for habitat and movement pathway conservat
Externí odkaz:
https://doaj.org/article/2fa5f776869444f88b98efeb4e47edb7
Publikováno v:
eLife, Vol 11 (2022)
All animals face the challenge of finding nutritious resources in a changing environment. To maximize lifetime fitness, the exploratory behavior has to be flexible, but which behavioral elements adapt and what triggers those changes remain elusive. U
Externí odkaz:
https://doaj.org/article/0fde7af46d904d57957b055001722d91
Autor:
Rocchini, Duccio, Nowosad, Jakub, D’Introno, Rossella, Chieffallo, Ludovico, Bacaro, Giovanni, Gatti, Roberto Cazzolla, Foody, Giles M, Furrer, Reinhard, Gábor, Lukáš, Malavasi, Marco, Marcantonio, Matteo, Marchetto, Elisa, Moudrý, Vítězslav, Ricotta, Carlo, Šímová, Petra, Torresani, Michele, Thouverai, Elisa
Maps represent powerful tools to show the spatial variation of a variable in a straightforward manner. A crucial aspect in map rendering for its interpretation by users is the gamut of colours used for displaying data. One part of this problem is lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9fb6fc17da31c02aa7456bfb7cd601b
https://doi.org/10.5167/uzh-232999
https://doi.org/10.5167/uzh-232999
Autor:
Werner Rammer, Rupert Seidl
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
Addressing current global challenges such as biodiversity loss, global change, and increasing demands for ecosystem services requires improved ecological prediction. Recent increases in data availability, process understanding, and computing power ar
Externí odkaz:
https://doaj.org/article/23973fd89bfd48758e0b5841eb466515
Autor:
Cayelan C. Carey, Nicole K. Ward, Kaitlin J. Farrell, Mary E. Lofton, Arianna I. Krinos, Ryan P. McClure, Kensworth C. Subratie, Renato J. Figueiredo, Jonathan P. Doubek, Paul C. Hanson, Philip Papadopoulos, Peter Arzberger
Publikováno v:
Ecosphere, Vol 10, Iss 5, Pp n/a-n/a (2019)
Abstract In the era of big data, ecologists are increasingly relying on computational approaches and tools to answer existing questions and pose new research questions. These include both software applications (e.g., simulation models, databases and
Externí odkaz:
https://doaj.org/article/3c5ef44b7b5c4c50b78a83bb725b4ec7
Autor:
Kimberly R. Hall, Ranjan Anantharaman, Vincent A. Landau, Melissa Clark, Brett G. Dickson, Aaron Jones, Jim Platt, Alan Edelman, Viral B. Shah
Publikováno v:
Land, Vol 10, Iss 3, p 301 (2021)
The conservation field is experiencing a rapid increase in the amount, variety, and quality of spatial data that can help us understand species movement and landscape connectivity patterns. As interest grows in more dynamic representations of movemen
Externí odkaz:
https://doaj.org/article/f28702e808144331b566a57f762ff499
Akademický článek
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Peer reviewed: True
Funder: Max-Planck-Gesellschaft; FundRef: http://dx.doi.org/10.13039/501100004189
Funder: Alexander von Humboldt-Stiftung; FundRef: http://dx.doi.org/10.13039/100005156
All animals face the challenge of finding nutr
Funder: Max-Planck-Gesellschaft; FundRef: http://dx.doi.org/10.13039/501100004189
Funder: Alexander von Humboldt-Stiftung; FundRef: http://dx.doi.org/10.13039/100005156
All animals face the challenge of finding nutr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78369d806487b36e83229c5ead242e46