Att effektivt skydda naturens alla arter kompliceras av det ökande mänskliga trycket på ekosystemen och den eskalerande klimatkrisen.
AI som ett verktyg för att bevara biologisk mångfald
Forskning Insatser för att skydda utrotningshotade arter begränsas ofta av ekonomiska förutsättningar. En grupp forskare 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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