Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1098/rsta.2023.0058 |
Lizenz  |
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| Titel (primär) | Monitoring vegetation- and geodiversity with remote sensing and traits |
| Autor | Lausch, A.; Selsam, P.; Pause, M.; Bumberger, J. |
| Quelle | Philosophical Transactions of the Royal Society A-Mathematical, Physical and Engineering Sciences |
| Erscheinungsjahr | 2024 |
| Department | CLE; MET |
| Band/Volume | 382 |
| Heft | 2269 |
| Seite von | art. 20230058 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Keywords | remote sensing; traits; vegetation diversity; geodiversity; monitoring |
| Abstract | 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 in situ, close-range, aerial and space-based RS
monitoring approaches. The trait approach allows complex data of
different types and formats to be linked using the latest semantic data
integration techniques, which will enable ecosystem integrity monitoring
and modelling in the future. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=28442 |
| Lausch, A., Selsam, P., Pause, M., Bumberger, J. (2024): Monitoring vegetation- and geodiversity with remote sensing and traits Philos. Trans. R. Soc. A-Math. Phys. Eng. Sci. 382 (2269), art. 20230058 10.1098/rsta.2023.0058 |
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