Att effektivt skydda naturens alla arter kompliceras av det ökande mänskliga trycket på ekosystemen och den eskalerande klimatkrisen.
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Innovation Insatser för att skydda utrotningshotade arter begränsas ofta av ekonomiska förutsättningar. En grupp forskare har nu tagit fram mjukvara för att ta reda på var man mest effektivt kan etablera skyddade områden för att hindra att arter försvinner i en region eller ett land.

Avskogning i Brasiliens Atlantiska regnskog har ökat med 125 procent förra året och drivs främst av konsumtionen av kött. Fotograf: Alexandre Antonelli
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


