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Articles by Wouter Koch
intSDM: An R Package for Building a Reproducible Workflow for the Field of Integrated Species Distribution Models
1 Introduction There has been an unprecedented increase in biodiversity information over the last decade as a result of the exponential rise in digital technology to collect and store data effectively (Michener and Jones 2012). Analyzing this massive collection of data has the potential to help us in our efforts to answer a multitude of ecological questions on a far larger scale than could previously be achieved.
Modelling heterogeneity in the classification process in multi‐species distribution models can improve predictive performance
1 INTRODUCTION Species distribution models are essential ecology and conservation management tools that predict how natural and human factors affect biodiversity (Elith & Leathwick, 2009; Vermeiren et al., 2020).
intSDM : an R package for building a reproducible workflow for the field of integrated species distribution models
Abstract There has been an exponential increase in quantity and type of biodiversity data in recent years, including presence-absence, counts, and presence-only citizen science data. Species Distribution Models (SDMs) have typically been used in ecology to estimate current and future ranges of species, and are a common tool used when making conservation prioritisation decisions.
Capturing and Using Taxonomic Knowledge for Species Identification
Biodiversity Information Science and Standards, Aug 2023 The skills and knowledge needed to recognize and classify taxa are becoming increasingly scarce in the scientific community, resulting in a “taxonomic impediment”, where such knowledge is gradually disappearing (Engel et al. 2021). At the same time, it is clear that these skills are strongly needed in biodiversity monitoring for management and conservation, especially when carried out by citizen scientists.
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