Monitoring vegetation- and geodiversity with remote sensing and traits.
geodiversity
monitoring
remote sensing
traits
vegetation diversity
Journal
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
ISSN: 1471-2962
Titre abrégé: Philos Trans A Math Phys Eng Sci
Pays: England
ID NLM: 101133385
Informations de publication
Date de publication:
Apr 2024
Apr 2024
Historique:
medline:
12
2
2024
pubmed:
12
2
2024
entrez:
11
2
2024
Statut:
ppublish
Résumé
Geodiversity has shaped and structured the Earth's surface at all spatio-temporal scales, not only through long-term processes but also through medium- and short-term processes. Geodiversity is, therefore, a key control and regulating variable in the overall development of landscapes and biodiversity. However, climate change and land use intensity are leading to major changes and disturbances in bio- and geodiversity. For sustainable ecosystem management, temporal, economically viable and standardized monitoring is needed to monitor and model the effects and changes in vegetation- and geodiversity. RS approaches have been used for this purpose for decades. However, to understand in detail how RS approaches capture vegetation- and geodiversity, the aim of this paper is to describe how five features of vegetation- and geodiversity are captured using RS technologies, namely: (i) trait diversity, (ii) phylogenetic/genese diversity, (iii) structural diversity, (iv) taxonomic diversity and (v) functional diversity. Trait diversity is essential for establishing the other four. Traits provide a crucial interface between
Identifiants
pubmed: 38342219
doi: 10.1098/rsta.2023.0058
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM