期刊
ECOLOGICAL INDICATORS
卷 122, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.ecolind.2020.107227
关键词
UAV; Coastal plant communities; Above-ground biomass; Sward structure; Ecosystem services
资金
- EU Mobilitas Pluss Researcher Grant [MOBJD243]
- European Regional Development Fund within the Estonian National Programme for Addressing SocioEconomic Challenges through RAMP
- D (RITA) (Estonia)
This study accurately predicted above-ground biomass in coastal meadows using UAV-derived datasets, and assessed grassland structural heterogeneity. The results suggest that continuous, monospecific grazing management may simplify grassland structure, reducing the supply of certain ecosystem services.
Coastal meadows provide a wide range of ecosystem services worldwide. In order to better target conservation efforts in these ecosystems, it is necessary to develop highly accurate models that account for the spatial nature of ecosystem structure, processes and functions. In this study, above-ground biomass was predicted at very high spatial resolution in nine study sites in Estonia. A combination of UAV-derived datasets were used to produce vegetation indices and micro topographic models. A random forest algorithm was used to generate above-ground biomass maps and assess the contribution of each predictor variable. The model successfully predicted above-ground biomass at very high accuracies. Additionally, grassland structural heterogeneity was assessed using UAV-derived datasets and vegetation indices. The results were subsequently related to management history at each study site, showing that continuous, monospecific grazing management tends to simplify grassland structure, which could in turn reduce the supply of a key regulation and maintenance ecosystem services: nursery and reproduction habitat for waders. These results also indicate that UAV-based surveys can serve as reliable grassland monitoring tools and could aid in the development of site-specific management strategies.
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