📢 NEW PAPER out on 'Investigating the risks of removing wild meat from global food systems'

🌎Mixed-methods study led by @ICCS_updates in collab with international experts🌍
⬇️ Summary infographic & thread below ⬇️
➡️ #OpenAccess paper @CurrentBiology: https://www.cell.com/current-biology/fulltext/S0960-9822(21)00144-5
(2/n) #zoonotic diseases like #COVID19 pass from animals to humans 🦠 Ecosystem degradation + expansion & intensification of humans-animal interfaces (inc. with wildlife & livestock) increase outbreak risk ➡️ COVID should be a wake up call to reset our relationship with #nature
(3/n) There has been a focus on #wildlifetrade as a culprit of #COVID19 with calls for bans on wildlife use. But:
🦌Wild meat can be an important food source, & is not always unsustainable or a public health risk
🛑Loss of this food source could have unintended consequences 🌿🐄
(4/n) We used mixed-methods:
📊Quantitatively explored global patterns in possible negative consequences via 2 hypothetical worst-case scenarios, using available (albeit limited) global data on game meat consumption from the GENuS database
🧑‍🤝‍🧑Qualitatively explored 10 case studies
(5/n) We identified 15 countries which rely on wild meat for more than 5% of animal protein, & are ranked in the bottom 50% of @TheEconomist global food security index; & 8 countries where per cap protein intake without wild meat would be below healthy levels recommended by @WHO
(6/n) On the other hand, if all wild meat were replaced by protein from animal agriculture 🐄🐔:
➡️ 10 countries would require 5,000-13,000 sq km of new agricultural land each (🇳🇬 & 🇺🇸 being the highest)
➡️ ~124,000 sq km would be required globally (>23 million football pitches)
(7/n) This land-use change would come with additional risks for:
🐘 #biodiversity: >250 species could be set on a pathway towards extinction, due to habitat destruction & degradation for ag expansion
🦠 #health: infectious diseases from livestock expansion & intensification
(8/n) Of course, in reality, the impacts of bans on wild meat would be moderated by context-specific factors:

Where wild meat is an important component of diets, & substitutes not readily available (e.g. parts of 🇲🇬🇬🇦🇨🇲🇲🇼) ➡️ food insecurity or non-compliance with prohibitions
(9/n) Where:
🌿🐄 Ag already high-yielding, and/or there are available land & biotic conditions for expansion
+
🧑‍🤝‍🧑 Ppl have capacity & willingness to adapt
(e.g. parts of 🇨🇳🇺🇸🇳🇬🇧🇷)
➡️ Food systems could more easily adapt BUT with likely consequences for biodiversity & EID risk.
(10/n) ACKNOWLEDGING INEQUITY: Importantly, negative consequences would not be uniform within nations - indigenous, rural & socially-marginalised groups may be most severely impacted - even in food-secure developed nations like USA 🇺🇸 & Canada 🇨🇦 - due to distributional issues.
(11/n) WHAT NEXT? An evidence-based food systems approach:

🦇 Risk-based regulation of #wildlifetrade

AND

🐄 Acknowledging & addressing the huge environmental & health costs of animal #agriculture

(plus no more scapegoating & 'othering' of wildlife use)
(12/n) CAVEAT: The data we used for our study had notable omissions & anomalies, which means our results represent a conservative 'first guess', to highlight some of these issues. Risk-based regulation of wildlife use would benefit from better data on wild meat consumption.
(13/n) ALMOST DONE: All that's left to say is a huuuuge thanks to the wonderful international team who made this happen, representing 17 institutions across 10 countries 🌎🌍🌏🙏
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