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Sökning: WFRF:(Kass Jamie M.)

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1.
  • Peterson, A. Townsend, et al. (författare)
  • ENM2020 : A free online course and set of resources on modeling species niches and distributions
  • 2022
  • Ingår i: Biodiversity Informatics. - : The University of Kansas. - 1546-9735. ; 17, s. 1-9
  • Tidskriftsartikel (refereegranskat)abstract
    • The field of distributional ecology has seen considerable recent attention, particularly surrounding the theory, protocols, and tools for Ecological Niche Modeling (ENM) or Species Distribution Modeling (SDM). Such analyses have grown steadily over the past two decades-including a maturation of relevant theory and key concepts-but methodological consensus has yet to be reached. In response, and following an online course taught in Spanish in 2018, we designed a comprehensive English-language course covering much of the underlying theory and methods currently applied in this broad field. Here, we summarize that course, ENM2020, and provide links by which resources produced for it can be accessed into the future. ENM2020 lasted 43 weeks, with presentations from 52 instructors, who engaged with >2500 participants globally through >14,000 hours of viewing and >90,000 views of instructional video and question-and-answer sessions. Each major topic was introduced by an "Overview" talk, followed by more detailed lectures on subtopics. The hierarchical and modular format of the course permits updates, corrections, or alternative viewpoints, and generally facilitates revision and reuse, including the use of only the Overview lectures for introductory courses. All course materials are free and openly accessible (CC-BY license) to ensure these resources remain available to all interested in distributional ecology.
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2.
  • Kass, Jamie M., et al. (författare)
  • ENMeval 2.0 : Redesigned for customizable and reproducible modeling of species’ niches and distributions
  • 2021
  • Ingår i: Methods in Ecology and Evolution. - : John Wiley & Sons. - 2041-210X. ; 12:9, s. 1602-1608
  • Tidskriftsartikel (refereegranskat)abstract
    • Quantitative evaluations to optimize complexity have become standard for avoiding overfitting of ecological niche models (ENMs) that estimate species’ potential geographic distributions. ENMeval was the first R package to make such evaluations (often termed model tuning) widely accessible for the Maxent algorithm. It also provided multiple methods for partitioning occurrence data and reported various performance metrics.Requests by users, recent developments in the field, and needs for software compatibility led to a major redesign and expansion. We additionally conducted a literature review to investigate trends in ENMeval use (2015–2019).ENMeval 2.0 has a new object-oriented structure for adding other algorithms, enables customizing algorithmic settings and performance metrics, generates extensive metadata, implements a null-model approach to quantify significance and effect sizes, and includes features to increase the breadth of analyses and visualizations. In our literature review, we found insufficient reporting of model performance and parameterization, heavy reliance on model selection with AICc and low utilization of spatial cross-validation; we explain how ENMeval 2.0 can help address these issues.This redesigned and expanded version can promote progress in the field and improve the information available for decision-making.
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