Integrating macroecology with temporal and trait-based perspectives : toward better attribution of human drivers to diversity changes

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Authors

Pierre Gauzere, Cyrille Violle, Franziska Schrodt, Matthias Grenié , Luca Santini, Mickael Hedde, Emmanuelle Porcher, Romain Goury, Miriam Beck, Wilfried Thuiller

Abstract

The ongoing biodiversity crisis presents a complex challenge for ecological science. Despite a consensus on
general biodiversity decline, identifying clear trends remains difficult due to variability in data, methodologies,
and scales of analysis. To enhance our understanding of ongoing biodiversity changes and address
discrepancies in biodiversity trend detection, we propose integrating macroecological theory with temporal
and trait-based perspectives.
● First, analyzing temporal changes in macroecological patterns, such as species accumulation curves,
can reconcile and synthesize conflicting observations of biodiversity change, enabling quantification of
diversity shifts across scales.
● Second, diversity patterns across scales are linked to three proximate components: abundance,
evenness, and spatial aggregation. Investigating temporal changes in these components provides
deeper insights into how human activities directly influence biodiversity trends.
● Third, incorporating species traits into the analysis of these macroecological patterns improves our
understanding of human impacts on biodiversity by elucidating the links between species
characteristics and their responses to environmental changes.
We discuss the limitations and challenges of this integrative approach and highlight how it offers a
comprehensive framework for understanding the drivers of biodiversity change across scales. This framework
facilitates a more nuanced understanding of how human activities impact biodiversity, ultimately paving the
way for more informed actions to mitigate biodiversity loss across spatial and temporal scales.

DOI

https://doi.org/10.32942/X24P61

Subjects

Life Sciences

Keywords

Diversity Trends, Macroecological theory, global change, conservation, traits

Dates

Published: 2024-11-25 10:46

License

CC BY Attribution 4.0 International

Additional Metadata

Language:
English

Conflict of interest statement:
None