Satellite-observed land cover change predicts plant genomic erosion over half a century DOI Creative Commons
Spyros Theodoridis, Thomas Hickler, David Nogués‐Bravo

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 23, 2024

Abstract Human induced land-cover change within the past decades has resulted in severe biodiversity loss, adversely affecting ecosystems and their contributions to human societies 1,2 . Addressing crisis requires development of monitoring frameworks that can reliably detect inform conservation actions 3,4,5 Satellite observations have revolutionized our ability monitor species ecosystem dynamics response anthropogenic pressures, yet, a last frontier remains: detecting genetic diversity from space 6 Here, we address this challenge by utilizing remote sensing predict genomic erosion over half century global change. We sequenced historical modern genomes medically important mountain plant, show is highly predictable velocity land cover Our models reveal faster vegetation “greening” leads higher inbreeding accumulation affected species. By linking satellite data with erosion, demonstrate impact environmental on diversity, far reaching implications for protecting basal level biodiversity.

Language: Английский

Satellite-observed mountain greening predicts genomic erosion in a grassland medicinal herb over half a century DOI Creative Commons
Spyros Theodoridis, Thomas Hickler, David Nogués‐Bravo

et al.

Current Biology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Mountains are biodiversity hotspots contributing essential benefits to human societies, but global environmental change is rapidly altering their habitats. During the past five decades, increasing temperatures and land-use in montane subalpine elevations facilitated productivity expansion of competitive vegetation, termed as "greening," with adverse effects on open grassland Although vegetation greening well-documented through satellite observations, its impact populations genomic integrity affected species remains underexplored. Here, we address this challenge by integrating 40 years remote sensing data museum genomics fieldwork assess mountain diversity plants southern Balkan peninsula. We sequenced genomes historical modern Ironwort, a plant significant medicinal value, demonstrate widespread erosion across populations. Our results show that, average, 6% (0%-20%) Ironwort's genome inbreeding accumulation over half century, indicating various degrees population declines. Importantly, that highly predictable normalized difference index (NDVI) rates change. models suggest faster increases density associated higher declines species, revealing negative impacts ecosystems. By linking two independent disparate monitoring indicators, ability predict consequences temporal far-reaching implications for protecting natural resources these fragile

Language: Английский

Citations

0
Satellite-observed land cover change predicts plant genomic erosion over half a century DOI Creative Commons
Spyros Theodoridis, Thomas Hickler, David Nogués‐Bravo

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 23, 2024

Abstract Human induced land-cover change within the past decades has resulted in severe biodiversity loss, adversely affecting ecosystems and their contributions to human societies 1,2 . Addressing crisis requires development of monitoring frameworks that can reliably detect inform conservation actions 3,4,5 Satellite observations have revolutionized our ability monitor species ecosystem dynamics response anthropogenic pressures, yet, a last frontier remains: detecting genetic diversity from space 6 Here, we address this challenge by utilizing remote sensing predict genomic erosion over half century global change. We sequenced historical modern genomes medically important mountain plant, show is highly predictable velocity land cover Our models reveal faster vegetation “greening” leads higher inbreeding accumulation affected species. By linking satellite data with erosion, demonstrate impact environmental on diversity, far reaching implications for protecting basal level biodiversity.

Language: Английский

Citations

0