Forest Mosaics: Spatial Vegetation Diversity Patterns from Stands to Regional Scales Incorporating Airborne Observatory Platform (AOP) Datasets with Satellite Data in Eastern U.S.
Abstract
Understanding the spatial distribution of vegetation diversity is crucial for its further exploration, land-use and conservation. However, continental to global scale plant diversity mapping has been based on occurrence data, biased by uneven sampling and focused on species richness. The increasing complex patterns of plant diversity across different scales have recently been recognized, but the understanding is limited. Patches of biodiversity across a local landscape can reflect areas where fine-scale patterns of species diversity are mechanistically related to broad scale dynamics as represented by environmental variables. The effects of both spatial and temporal scales should be considered in mapping vegetation diversity patterns; as the forestland in the eastern U.S. is heterogeneous, then the structures, functions, and ecological processes are themselves scale dependent.
Imaging spectroscopy, coupled with regional ecosystem modeling allows us to expand our view to test regional and global scales hypothesis, bring new insight to document and understanding patterns of spatial plant diversity. In this study, we will demonstrate a method of mapping biodiversity incorporating National Ecological Observatory Network (NEON) and AOP datasets from stands to regional scales in Eastern U.S to detect the limits for species diversity mapping.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMGC51E1119Y
- Keywords:
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- 1632 Land cover change;
- GLOBAL CHANGE;
- 1640 Remote sensing;
- GLOBAL CHANGE;
- 4333 Disaster risk analysis and assessment;
- NATURAL HAZARDS;
- 4217 Coastal processes;
- OCEANOGRAPHY: GENERAL