Neville S. Barrett
As seen in:
British Ecological Society (Wiley),
Nature,
Wiley Online Library,
PLOS ONE,
Frontiers,
BioRxiv,
Cell Press
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Assessing predictive accuracy of species abundance models in dynamic systems
1 INTRODUCTION Ecosystems are changing faster than has ever been observed previously by modern science. The pace of climate change is driving rapid ecological transformation (Pecl et al., 2017; Poloczanska et al., 2013).
Contrasting Population Trajectories of Temperate Reef Fishes and Invertebrates Following Seasonal and Multi‐Decadal Temperature Change
1 Introduction Accelerated warming and increased heatwave frequency are causing significant and widespread shifts in ecosystems across various spatial and temporal scales (Grimm et al. 2013; Hoegh-Guldberg and Bruno 2010; Ling and Keane 2024; Pandolfi et al. 2020; Walther 2010). To better understand how temperature will shape biodiversity in the future, a multi-scale approach is essential (Waldock et al. 2018).
Assessing predictive accuracy of species abundance models in dynamic systems
Abstract Cascading human pressures and environmental change are affecting the natural dynamics of animal populations. Forecasting population abundances from time-series data provides an important avenue for testing competing ecological theories, and for supporting conservation planning and sustainable use, yet changing system dynamics may lead to erroneous predictions. Predictions from a model fitted and tested on historical system dynamics may become irrelevant if system dynamics change.
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