This looks exciting! Monitoring ecosystem change and attributing the impacts to planned (like forest management) and unplanned disturbances (like fire & drought) has become the primary focus of our team at work.
@lauradee
Associate Prof at University of Colorado. I study the effects of climate change on ecosystems and people. Interested in how to effectively design and evaluate nature based solutions, evidence, and strategies for climate adaptation and conservation. She/her
This looks exciting! Monitoring ecosystem change and attributing the impacts to planned (like forest management) and unplanned disturbances (like fire & drought) has become the primary focus of our team at work.
Disgusting - he should be fired
YIKES!
We need a global assessment of avoidable climate-change risks. To understand the urgency of emissions reductions, policymakers and citizens need a full analysis of what is at stake. www.nature.com/articles/d41... from @eunicelo.bsky.social @climatedann.bsky.social @bristoluni.bsky.social @nature.com
After learning about collider bias, reading this gave me the second-worst existential crisis about learning anything causal from data *even when you can run experiments*. Really a must-read if youβre not already familiar with this stuff.
Wow thanks! That means a lot coming from you :)
Oh shoot - I was wondering but it didn't say (did it)? I would not have advertised it if I had realized
Could potentially make some version of it to be more user contributed so I don't miss key studies outside of my subarea(s)! e.g. almost missed this great paper: royalsocietypublishing.org/rspb/article...
We also have several using these approaches in real case studies that I haven't been tracking!
Couldn't agree more - "We need more case studies for ecologists to emulate and for norms to shift so "regression and storytelling" becomes unpublishable." I have a running (yet incomplete) list of applications on my course website to help enable this: github.com/LauraDee/Eco... 1/2
I saw this when it was a preprint? They have a unique version of the estimand-estimator-estimates workflow, will be useful for may biologists, not just ecologists. We need more case studies for ecologists to emulate and for norms to shift so "regression and storytelling" becomes unpublishable.
"the largest act of mass murder of this decade, and of this century so far, was not perpetrated by militaries or militias, but by the world's richest man in Washington D.C.'s Eisenhower Executive Office Building."
www.liberalcurrents.com/what-elon-ha...
Yay! Thanks!
Cool! Many of us in my lab too! Feel free to reach out to connect!
New #causalinference paper just dropped! As an ecologist, I was trained to ask: "What do the data tell me?"
This paper: there are only specific instances when this question is appropriateβwhen you lack domain knowledge, which we often have!
www.nature.com/articles/s41...
And a nice accessible write up of the paper scienmag.com/from-correla...
If you have personal testimonials about how @ncar-ucar.bsky.social has benefited your career, submit your story to @ametsoc.org via this web form. #SaveNCAR docs.google.com/forms/d/e/1F...
Best practices for moving from correlation to causation in ecological research
π§ͺ #Macroecology
The workflow illustrates a step-by-step process for conducting causal analyses. Arrows indicate the typical flow of an analysis. Two possible pathways are shown: causal discovery approaches (blue), which aim to identify the existence of causal relationships when pre-existing knowledge is low, and causal inference approaches (yellow), which aim to quantify the direction and magnitude of causal effects when pre-existing knowledge is high. The gray feedback loop on the right highlights the iterative refinement of causal analyses based on assessments of the plausibility of causal assumptions.
So, y'all have heard me going on about #causalinference in #ecology a lot. Now our big synthetic guide "Best practices for moving from correlation to causation in ecological research" is out! Led by Hannah Correia & Paul Ferraro, it's a great walk-through for all! ππ§ͺ www.nature.com/articles/s41...
glad to hear it!
#causalsky π
From a workshop co-led with @pferraro.bsky.social at John's Hopkins!
Excited to share our new paper in @natcomms.nature.com We synthesize causal discovery & inference approaches across traditions (regression adjustment, quasi-expts, SEMs, Granger causality, convergent cross-mapping, and more) into a unified workflow for ecologists. www.nature.com/articles/s41...
FELLOWSHIP! Weβre proud to announce the launch of the Climate Science Serving America fellowship, open to early- and mid-career scientists & engineers who work on climate solutions.
Full salary, benefits, and a research stipend. Remote anywhere in the United States.
drawdown.org/news/project...
Some context for this new policy, which makes me π€―: The last time they counted (the administration now tells us that the lawyers advise them to refrain from doing so) tenured faculty in Arts and Sciences were 70 per cent male.
π₯³π₯³π₯³π₯³π₯³
βοΈ Working at the intersection of causality and networks?
We're organizing a satellite event at @netsciconf.bsky.social in Boston on June 1st. The focus is networks science and causal inference.
Submit your work by March 10th!
causnets.github.io
@aaronclauset.bsky.social
What happens on land shape the coastal health π±riparian vegetation reduces coastal turbidity up to 800 m offshore, right where #coral reefs and #seagrass thrive. Pasture and roads increase turbidity @lauradee.bsky.social @oceannoe.bsky.social
π§ͺβΆοΈ:
www.nature.com/articles/s44458-025-00031-5
π’ Join our team: Are you interested in the synthesis of ecological data?
We are offering a postdoctoral researcher position on the effects of collaborative agri-environment measures on multiple taxa and ecosystem services.
See #job advert
www.uni-goettingen.de/en/vacancy+f...
Exactly