Catalyzing Conservation (@catalyzcons) 's Twitter Profile
Catalyzing Conservation

@catalyzcons

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calendar_today06-05-2024 09:57:58

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Catalyzing Conservation (@catalyzcons) 's Twitter Profile Photo

Catalyzing Conservation: Insights on how to scale conservation initiatives. #biodiversity #environment #nature #conservation #scale #amplification #naturebasedsolutions

Catalyzing Conservation: Insights on how to scale conservation initiatives.

#biodiversity #environment #nature #conservation #scale #amplification #naturebasedsolutions
Catalyzing Conservation (@catalyzcons) 's Twitter Profile Photo

We are a group of scientists and practitioners building the evidence-base needed to inform how effective biodiversity conservation and restoration initiatives can go to scale, and benefit people and nature. Centre for Environmental Policy, Imperial Dr Morena Mills Logo Manini Bansal #nature #conservation #launch

Matt Clark (@mattcscience) 's Twitter Profile Photo

✨Research out today in One Earth✨ We show that epidemiological models can accurately infer the mechanism of adoption of conservation initiatives and forecast the trajectory of uptake within populations 👉doi.org/10.1016/j.onee…

✨Research out today in <a href="/OneEarth_CP/">One Earth</a>✨

We show that epidemiological models can accurately infer the mechanism of adoption of conservation initiatives and forecast the trajectory of uptake within populations

👉doi.org/10.1016/j.onee…
Matt Clark (@mattcscience) 's Twitter Profile Photo

The problem: The uptake of conservation initiatives can take a variety of nonlinear shapes. This makes it difficult to tell if a project is on-track and to make decisions accordingly

Matt Clark (@mattcscience) 's Twitter Profile Photo

Our finding: We repurpose epidemiological models to show that the shape of spread is largely determined by just two parameters: 1) The rate of social learning (spread from person to person) 2) The rate of independent learning (probability any actor adopts in any time)

Our finding: We repurpose epidemiological models to show that the shape of spread is largely determined by just two parameters:

1) The rate of social learning (spread from person to person)

2) The rate of independent learning (probability any actor adopts in any time)
Matt Clark (@mattcscience) 's Twitter Profile Photo

Finally, @h_dunning wrote an amazing plain language summary of our paper. Check that out here 👉imperial.ac.uk/news/256398/ho…

Thomas Pienkowski (@tom_pienkowski) 's Twitter Profile Photo

Check out new Catalyzing Conservation paper led by Matt Clark We use epidemiological models to forecast conservation scaling (with surprising accuracy in some cases). Many factors shape trends, but our approach could inform adaptive management to scaling goals 👉doi.org/10.1016/j.onee…