Jeremy Cohen

Jeremy Cohen

@drjerbs.bsky.social

Asst prof at Rutgers-NB DEENR, research scientist at Yale '21-'26. Quantitative climate change ecology, macroecology, avian ecology, early career researcher, birder, bird guide, photographer, human dad, cat dad, knicks/yankees fan, NYer

1.3K followers527 following73 posts

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I'm joining Rutgers DEENR in a tenure-track faculty position this fall! I'll be recruiting a quantitative postdoc in climate change wildlife ecology (start fall 26 or jan 27) and PhD student doing bioacoustics to study avian responses to extreme weather (start fall 27). More- www.gcmelab.com/join-us

Jeremy Cohen reposted

If you care about keeping the Academy of Natural Sciences open to the public in Philadelphia, I need you to read and share this thread. Trish Wellenbach was sent from the mayor's office to oversee the Academy of Natural sciences situation. She needs to hear from us. Here comes the action item:

Have you given a lecture on the broad topic of Macroecology and would be willing to share slides? Anything from a few slides to a full hour lecture would be helpful!

Jeremy Cohen reposted

Counter doom by: 1. Communicating the threat accurately, 2. prebunk against emotionally manipulative narratives, & 3. pair the problem with credible solutions & agency. Full study & coverage below: doi.org/10.1073/pnas...

Sander van der Linden@profsanderlinden.bsky.social

Climate doom may discourage climate action, but here's a way to counter it, our new research in @theconversation.com with the brill @racheloboyle.bsky.social @tylershores.bsky.social! theconversation.com/climate-doom...

Doing a bioacoustics project somewhere in the eastern US? For a large-scale study exploring how bird communities react to disturbance across regions/habitats, we are looking for daytime recordings at consistent sites over 2+ years, during the same season(s) each year. Please get in touch!

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Biodiversity (richness) predictions were more accurate with variability/extreme weather included, and models with mean climate only greatly overpredicted biodiversity in regions prone to weather variability, the great plains and southwest!

Biodiversity predictions that account for variability and extreme weather are critical for reliably predicting biodiversity patterns! They might otherwise be greatly overpredicted. If you find this stuff cool, check out postdoc/phd opportunities in my new group at Rutgers! www.gcmelab.com/join-us

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Models with variable and extreme weather were much more conservative around the range edges – where such weather could push species past physiological limits - conforming more closely to expert-drawn range borders

We found that including information about weather variability and extreme weather risk in distribution models (not just temp/precip averages) greatly changed the estimated distributions for many species (purple areas are no longer suitable)

Jeremy Cohen reposted

Exciting to be a part of this!

Diego Ellis Soto@diegoellissoto.bsky.social

Thrilled to share our new preprint: “Extreme Heat as the New Normal” 🌡️🔥 We introduce a roadmap + code for identifying and mapping extreme heat 📏 and linking it to ecology: 🧭 Species distribution models 🐦 🌿 Biophysical models & microclimates 🦎 📉 Population dynamics 👥 doi.org/10.64898/202... 🧵 ⬇️

Jeremy Cohen reposted

Thrilled to share our new paper out in @science.org, led by François Leroy and Petr Keil! Using the Breeding Bird Survey, we document not only a continent-wide decline in bird abundance since the 1980s — but, crucially, the acceleration of these declines over time. www.science.org/doi/10.1126/...

science.orgAcceleration hotspots of North American birds’ decline are associated with agricultureHuman activities might have accelerated declines of population abundance, but this acceleration remains underexplored. Using 1033 North American Breeding Bird Survey routes, we analyze abundance chang...
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Species’ historical niches are becoming increasingly mismatched with contemporary climates even in a highly mobile taxon like birds, raising concerns about the ability of other wildlife to persist in a warmer world. Other wildlife may have to rely on phenological or behavioral changes.

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Species moving the furthest north succeeded most in limiting their niche loss. Move north, avoid warming. However, only very few species moved north far enough to fully erase their exposure, and in most cases they only partially limited their exposure.

Species possessing traits associated with dispersal, such as long-distance migratory behavior or high hand-wing index, succeeded most in limiting their niche loss (partial residual plots).

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Most redistributions were only partially effective. Species moved their ranges ~0.65° latitude north in both seasons, mitigating their expected exposure by ~1.28 °C in summer (48% of expected if they were stationary), while only mitigating ~0.47 °C (11% of expected) in winter.

Therefore- species averted much more of their expected exposure in summer, when they are more at risk of physiological consequences of heat stress- but still only avoided half of the expected warming in this season.

As climate change accelerates, species can move poleward (north, in North America) or up mountains to limit their exposure to heat. While these movements have been extensively reported, it remains unclear whether species have succeeded in limiting their exposure to novel conditions.

We developed a method to account for biases in tens of millions of species observations from GBIF and evaluate how 406 bird species native to the US and Canada have mitigated their environmental niche loss using geographical redistributions from 2000-2020.

Jeremy Cohen reposted

Jeremy Cohen reposted

To understand how climate change affects natural ecosystems we need to know how warming influences species interactions. In our newest paper we show that predator-prey interactions fundamentally change across latitude leading to context dependent effects of warming. 🧪 doi.org/10.1111/oik....

Jeremy Cohen reposted

The #climate/water paradox: As temperatures rise, more #water evaporates into the atmosphere & more precipitation occurs. But land areas are getting drier not wetter. Why? Because more water evaporates from soils. The rain that falls is in intense events in fewer regions, leading to worse #floods 👉

Jeremy Cohen reposted

Jeremy Cohen reposted

Wait, do I want cool science to drown out all of the politics?! Yes. Yes, I do. 🧪

Meghie Rodrigues@meghier.bsky.social

Thank you so much to whoever put this very comprehensive list of #science Bsky starter packs together. This is just amazing: docs.google.com/document/d/1...

🚨 NOW ONLINE- global ecol & biogeog As global change accelerates, accurate predictions are critical to limit biodiversity loss. With many continental predictions at coarse grain, it's unclear how grain-size biases vary across space/time, giving poor predictions for some regions, seasons, species 🧪

onlinelibrary.wiley.comFine‐Grain Predictions Are Key to Accurately Represent Continental‐Scale Biodiversity PatternsAim As global change accelerates, accurate predictions of species distributions and biodiversity patterns are critical to limit biodiversity loss. Numerous studies have found that coarse-grain speci...
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Biases were greatest in desert regions with patchier habitat and for range-restricted and habitat-specialist species. Predictions based on coarse-grain models overpredicted avian diversity in the west and underpredicted it in the great plains, prairie pothole region and boreal zones.

Coarse-grain models can bias seasonal & continental estimates of biodiversity patterns across space and time and grain-related biases intensify during summer & in patchier landscapes, esp. for range-restricted, habitat specialist species at risk of population declines.

🚨 NOW ONLINE- global ecol & biogeog As global change accelerates, accurate predictions are critical to limit biodiversity loss. With many continental predictions at coarse grain, it's unclear how grain-size biases vary across space/time, giving poor predictions for some regions, seasons, species 🧪

onlinelibrary.wiley.comFine‐Grain Predictions Are Key to Accurately Represent Continental‐Scale Biodiversity PatternsAim As global change accelerates, accurate predictions of species distributions and biodiversity patterns are critical to limit biodiversity loss. Numerous studies have found that coarse-grain speci...
View full thread

Coarse-grain models (even at 3 km) consistently under-predicted range area, potentially missing important habitat. This bias intensified during summer (83%–86% of species) when many birds have smaller ‘operational scales’ via localized home ranges while breeding.

🚨 NOW ONLINE- global ecol & biogeog As global change accelerates, accurate predictions are critical to limit biodiversity loss. With many continental predictions at coarse grain, it's unclear how grain-size biases vary across space/time, giving poor predictions for some regions, seasons, species 🧪

onlinelibrary.wiley.comFine‐Grain Predictions Are Key to Accurately Represent Continental‐Scale Biodiversity PatternsAim As global change accelerates, accurate predictions of species distributions and biodiversity patterns are critical to limit biodiversity loss. Numerous studies have found that coarse-grain speci...

We fit SDMs for summer & winter distributions of 572 bird sp native to US/Canada across five spatial grains 1-50 km using eBird. We combined predictions to generate seasonal biodiversity estimates, validated using observations from 322 well-surveyed sites.