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