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Department of Ecology, Evolution, and Natural Resources
Rutgers logo
Department of Ecology, Evolution, and Natural Resources

Dr. David Klinges publishes in Trends in Ecology and Evolution

The “Microclimates” Animals Actually Experience Are Not the Climate Scientists Typically Measure

trends in ecology and evolution 4 2026 cover

Relevant publication:

Matching climate to biological scales, April 2026.

*Cover article of the April 2026 issue of Trends in Ecology and Evolution*

A new framework urges ecologists to study climate as organisms encounter it — not as weather stations record it — revealing a fundamental mismatch at the heart of climate-biology research.

Key Takeaways for Press

Dr. David Klinges
Dr. David Klinges
  • Most climate change biology research uses weather station data that doesn't reflect what organisms actually experience
  • Animals and plants actively shape their own climate exposure through behavior, body size, and microhabitat selection
  • A gecko, a desert rodent, and a forest tree seedling each experience entirely different "microclimates" — even in the same landscape
  • Finer climate data alone won't solve the problem; what matters is measuring the right climate for each species
  • New sensor technologies — including animal-mounted loggers and IoT networks — are beginning to make organism-scale climate measurement feasible
  • The framework has implications for conservation modeling, species distribution predictions, and understanding evolutionary responses to warming

The Problem

When climate scientists want to understand how global warming affects wildlife, they typically reach for weather station records or satellite-derived grids. These tools measure the ambient air temperature of a region — what researchers call macroclimate. But this is rarely the temperature a lizard, frog, or tree seedling actually experiences.

A lizard basking in morning sun on an exposed branch may be 15°C warmer than the surrounding air. At night, it retreats to a shaded fern where temperatures are far more stable. The "climate" relevant to that animal is a dynamic, shifting patchwork shaped by its own behavior, body size, and habitat choices — not a grid cell average.

This gap between measured and experienced climate is not a minor methodological footnote — as DEENR faculty member David Klinges recently argued, it is one of the central reasons why predictions about species responses to climate change so often miss the mark.

The Framework & What It Changes

A recent collaboration by ecologists and evolutionary biologists has led to a novel framework for linking climate data to biology. The paper introduces a conceptual distinction between three nested scales of climate: the broad macroclimate of a region, the habitat microclimate shaped by local vegetation and topography, and the organismal microclimate — the specific conditions an individual organism actually encounters, filtered through its own biology.

That last scale is the one that drives growth, survival, and reproduction. And it is almost never what standard datasets capture. A desert rodent that retreats underground during peak heat is effectively insulated from the warming that bird species — unable to burrow — cannot escape. This single difference in behavior explains, for example, why mammal populations remained stable across decades of Mojave Desert warming while bird communities collapsed.

The authors call for integrating two research traditions that have historically operated in parallel: "climate-first" approaches that apply broad environmental datasets across many species, and "biology-first" approaches that characterize climate from the organism's point of view. Neither alone is sufficient. Used together, they can reveal the causal links — not just correlations — between climate and biology.

The framework offers practical guidance for researchers: match the scale of climate data to the home range and generation time of the study organism; account for vertical as well as horizontal climate gradients; and use traits like body size and activity timing to determine which climate variables actually matter for a given species.