دورية أكاديمية

Socioeconomic factors predict population changes of large carnivores better than climate change or habitat loss

التفاصيل البيبلوغرافية
العنوان: Socioeconomic factors predict population changes of large carnivores better than climate change or habitat loss
المؤلفون: Johnson, Thomas F., Isaac, Nick J. B., Paviolo, Agustin, González-Suárez, Manuela
بيانات النشر: Nature Publishing Group
سنة النشر: 2023
المجموعة: CentAUR: Central Archive at the University of Reading
الوصف: Land-use and climate change have been linked to changes in wildlife populations, but the role of socioeconomic factors in driving declines, and promoting population recoveries, remains relatively unexplored. Here, we evaluate potential drivers of population changes observed in 50 species of some of the world’s most charismatic and functionally important fauna—large mammalian carnivores. Our results reveal that human socioeconomic development is more associated with carnivore population declines than habitat loss or climate change. Rapid increases in socioeconomic development are linked to sharp population declines, but, importantly, once development slows, carnivore populations have the potential to recover. The context- and threshold-dependent links between human development and wildlife population health are challenges to the achievement of the UN Sustainable development goals.
نوع الوثيقة: article in journal/newspaper
وصف الملف: text
اللغة: English
العلاقة: https://centaur.reading.ac.uk/109977/1/Johnson_et_al_2023_NatCom.pdfTest; Johnson, T. F., Isaac, N. J. B., Paviolo, A. and González-Suárez, M. orcid:0000-0001-5069-8900 (2023) Socioeconomic factors predict population changes of large carnivores better than climate change or habitat loss. Nature Communications, 14. 74. ISSN 2041-1723 doi: https://doi.org/10.1038/s41467-022-35665-9Test
الإتاحة: https://doi.org/10.1038/s41467-022-35665-9Test
https://centaur.reading.ac.uk/109977Test/
https://centaur.reading.ac.uk/109977/1/Johnson_et_al_2023_NatCom.pdfTest
حقوق: cc_by_4
رقم الانضمام: edsbas.7C37D42F
قاعدة البيانات: BASE