Population genetics meets ecology: a guide to individual-based simulations in continuous landscapes.

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Bibliographic Details
Title: Population genetics meets ecology: a guide to individual-based simulations in continuous landscapes.
Authors: Chevy ET; Center for Computational Molecular Biology, Brown University, Providence RI 02912, USA., Min J; Institute of Ecology and Evolution, University of Oregon, Eugene OR 97402, USA., Caudill V; Institute of Ecology and Evolution, University of Oregon, Eugene OR 97402, USA., Champer SE; Department of Computational Biology, Cornell University, Ithaca NY 14853, USA., Haller BC; Department of Computational Biology, Cornell University, Ithaca NY 14853, USA., Rehmann CT; Institute of Ecology and Evolution, University of Oregon, Eugene OR 97402, USA., Smith CCR; Institute of Ecology and Evolution, University of Oregon, Eugene OR 97402, USA., Tittes S; Institute of Ecology and Evolution, University of Oregon, Eugene OR 97402, USA., Messer PW; Department of Computational Biology, Cornell University, Ithaca NY 14853, USA., Kern AD; Institute of Ecology and Evolution, University of Oregon, Eugene OR 97402, USA.; Department of Biology, University of Oregon, Eugene OR 97402, USA., Ramachandran S; Center for Computational Molecular Biology, Brown University, Providence RI 02912, USA., Ralph PL; Institute of Ecology and Evolution, University of Oregon, Eugene OR 97402, USA.; Department of Mathematics, University of Oregon, Eugene OR 97402, USA February 12, 2025.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Feb 13. Date of Electronic Publication: 2025 Feb 13.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2024.07.24.604988