Monitoring vegetation- and geodiversity with remote sensing and traits

Author:

Lausch Angela123ORCID,Selsam Peter4ORCID,Pause Marion3,Bumberger Jan456ORCID

Affiliation:

1. Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research-UFZ, Permoserstr. 15, 04318 Leipzig, Germany

2. Department of Physical Geography and Geoecology, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 4, 06120 Halle, Germany

3. Department of Architecture, Facility Management and Geoinformation, Institute for Geoinformation and Surveying, Bauhausstraße 8, 06846 Dessau, Germany

4. Department of Monitoring and Exploration Technologies, and

5. Research Data Management—RDM, Helmholtz Centre for Environmental Research UFZ, Permoserstraße 15, 04318 Leipzig, Germany

6. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany

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. This article is part of the Theo Murphy meeting issue ‘Geodiversity for science and society’.

Publisher

The Royal Society

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Remotely Sensed Herbaceous Rangelands Biomass from African Rangelands: Validation and Uncertainties;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Monitoring Water Diversity and Water Quality with Remote Sensing and Traits;Remote Sensing;2024-07-01

3. Strategies for Conservation in the Face of Biodiversity Decline;Advances in Environmental Engineering and Green Technologies;2024-06-28

4. Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys;Remote Sensing;2024-03-25

5. Geodiversity for science and society;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2024-02-12

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