Rebecca Lovell
@rebeccalovell.bsky.social
Quantitative evolutionary ecologist 👩💻🐦🦋🌿 Currently a Postdoc at the University of Aberdeen (she/her)
Our results suggest that the reliability of space-for-time projections can be very context-dependent, even for a single species 🦋
But, we also show how spatiotemporal datasets provide an opportunity to test the key assumptions of causality and space-for-time transferability that underlie many SDMs.
But, we also show how spatiotemporal datasets provide an opportunity to test the key assumptions of causality and space-for-time transferability that underlie many SDMs.
February 28, 2025 at 4:20 PM
Our results suggest that the reliability of space-for-time projections can be very context-dependent, even for a single species 🦋
But, we also show how spatiotemporal datasets provide an opportunity to test the key assumptions of causality and space-for-time transferability that underlie many SDMs.
But, we also show how spatiotemporal datasets provide an opportunity to test the key assumptions of causality and space-for-time transferability that underlie many SDMs.
We found that the level of equivalence between spatial and temporal temperature-distribution relationships varies across different temperatures within the species’ range 🌡️, with patterns differing between occupancy vs abundance 🦋
February 28, 2025 at 4:20 PM
We found that the level of equivalence between spatial and temporal temperature-distribution relationships varies across different temperatures within the species’ range 🌡️, with patterns differing between occupancy vs abundance 🦋
We then apply a statistical approach that allows comparison of the spatial and temporal effects of temperature on two distribution metrics – occupancy (presence/absence) and abundance 🦋
February 28, 2025 at 4:20 PM
We then apply a statistical approach that allows comparison of the spatial and temporal effects of temperature on two distribution metrics – occupancy (presence/absence) and abundance 🦋
Using @ukbms.bsky.social records of the Orange-tip butterfly’s abundance in the UK, we first apply a sliding window approach to identify when in the year temperature is most predictive of abundance🌡️🦋…
February 28, 2025 at 4:20 PM
Using @ukbms.bsky.social records of the Orange-tip butterfly’s abundance in the UK, we first apply a sliding window approach to identify when in the year temperature is most predictive of abundance🌡️🦋…
Projecting species’ future distributions often involves ‘space-for-time substitutions’ where relationships between climate variables & species’ distributions are identified in space & then projected over time 🌍→⏰
This assumes that these relationships are causal & equivalent in space and time 🌍=⏰?
This assumes that these relationships are causal & equivalent in space and time 🌍=⏰?
February 28, 2025 at 4:20 PM
Projecting species’ future distributions often involves ‘space-for-time substitutions’ where relationships between climate variables & species’ distributions are identified in space & then projected over time 🌍→⏰
This assumes that these relationships are causal & equivalent in space and time 🌍=⏰?
This assumes that these relationships are causal & equivalent in space and time 🌍=⏰?
