The acceleration of microclimate warming and its implications for species redistributions.

Abstract ID: 3.18021 | Accepted as Talk | Talk | TBA | TBA

Jonas Lembrechts (1)
(1) Utrecht University, Padualaan 8, 3584 CH Utrecht, NL

Categories: Biodiversity
Keywords: No keywords defined

Categories: Biodiversity
Keywords: No keywords defined

The content was (partly) adapted by AI
Content (partly) adapted by AI

Climate change research has traditionally relied on macroclimatic data from weather stations, which are situated in open landscapes to ensure comparability. However, local microclimates – shaped by vegetation, topography, soil properties, and land use – can differ significantly from macroclimate, often buffering or amplifying warming trends. These localized conditions are crucial for organisms, particularly in mountainous environments, where steep gradients and diverse habitats create complex thermal landscapes. While microclimates have been considered refugia against climate change, recent evidence suggests that microclimatic warming may exceed macroclimatic warming in certain contexts, posing an overlooked threat to biodiversity. In this talk, we’ll try to quantify and understand these dynamics by leveraging the world’s first global microclimate database, the Microclimate Database (MDB, formerly SoilTemp). We will see how modelling historical trends of microclimate change, assessing the impact of accelerated warming on species redistributions, and exploring conservation strategies tailored to microclimatic dynamics are all needed to tackle this problem.

A particular focus will be given to mountain ecosystems, where microclimate shifts are expected to be highly heterogeneous and strongly influenced by vegetation changes, topographic variation, and land use dynamics. By identifying hotspots of rapid microclimate change and evaluating their effects on species persistence, the talk will discuss critical insights for conservation planning in the face of climate change. Addressing these challenges is essential for predicting future biodiversity patterns and developing effective conservation strategies in a rapidly changing world.

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