Вход на сайт

Просмотр новости

Найдите то, что Вас интересует

Global grassland fragmentation is intensifying with uneven consequences for vertebrate biodiversity

Дата публикации: 31-08-2026 00:00:00

Grassland fragmentation is intensifying globally, with substantial implications for biodiversity. Yet its extent, temporal dynamics and ecological effects remain unclear. Here we present a global assessment of grassland fragmentation from 1995 to 2020 and its effects on vertebrate species richness. Intact grassland area declined by 2.6% over this period, mainly owing to cropland expansion, and only about 24% of global grasslands remained structurally intact by 2020. The effects of fragmentation on species richness varied across regions and taxa. Low fragmentation increased richness in large tropical grasslands, whereas high fragmentation reduced richness in temperate grasslands, where reptiles showed the strongest and most consistent negative responses. To evaluate potential management strategies, we further compared future fragmentation under different land-use scenarios. Projections to 2045 suggest that conservation will reduce future fragmentation more effectively than restoration...

Схожие новости

#Наименование новостиТональностьИнформативностьДата публикации
1General laws of biodiversity: Climatic niches predict plant range size and ecological dominance globally05.7501-09-2026
2Balancing land use for conservation, agriculture, and renewable energy06.6231-08-2026
3Does demolition improve biodiversity? Linking urban green space and socioeconomic characteristics to avian richness in a shrinking city05.3312-09-2026
4A framework for assessing 3D landscape connectivity06.331-08-2026
5A review of landscape ecology approaches for studying plant invasions04.4931-08-2026
6America the Beautiful: Meeting “30 × 30” Conservation Goals Through Connected Protected Areas010.9601-09-2026
7Harnessing the full potential of drones for fieldwork07.312-09-2026
8Improved prediction of tree species richness and interpretability of environmental drivers using a machine learning approach05.1812-09-2026
9Ecological dreams…07.6602-10-2026

Классификация: . Схожих патентов: 0. Схожих новостей: 9. Тональность: 0. Информативность: 7.84. Источник: www.escholarship.org.