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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En begränsning för att skydda utrotningshotade arter är bristen på pengar till bevarandeprojekt.
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


