Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands-Reference-Cited by-同舟云学术

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Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands

Published:2024-09 Issue: Volume:21 Page:100419
ISSN:2666-4984
Container-title:Environmental Science and Ecotechnology
language:en
Short-container-title:Environmental Science and Ecotechnology

Author:

Basavegowda Deepak H.^ORCID,Schleip Inga,Mosebach Paul,Weltzien Cornelia

Funder

BMBF Bonn

Publisher

Elsevier BV

Reference46 articles.

1. Grasslands of the World: Diversity, Management and Conservation;Squires,2018

2. Grazing conserves threatened carabid beetles in semi-natural calcareous grasslands better than mowing, especially at low intensities;Barber;Biodivers. Conserv.,2022

3. European grassland ecosystems: threatened hotspots of biodiversity;Habel;Biodivers. Conserv.,2013

4. Livestock production land and conservation areas play a complementary role in the conservation of a critically endangered grassland bird;Nugent;Ecol. Solut. Evid.,2022

5. Grasslands—more important for ecosystem services than you might think;Bengtsson;Ecosphere,2019

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