A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows

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...

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Autores principales:	M. Villoslada Peciña, T.F. Bergamo, R.D. Ward, C.B. Joyce, K. Sepp
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	UAV Coastal plant communities Above-ground biomass Sward structure Ecosystem services Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/684a10d345494170831844a68a1b8158
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spelling	oai:doaj.org-article:684a10d345494170831844a68a1b81582021-12-01T04:39:35ZA novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows1470-160X10.1016/j.ecolind.2020.107227https://doaj.org/article/684a10d345494170831844a68a1b81582021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20311663https://doaj.org/toc/1470-160XCoastal 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.M. Villoslada PeciñaT.F. BergamoR.D. WardC.B. JoyceK. SeppElsevierarticleUAVCoastal plant communitiesAbove-ground biomassSward structureEcosystem servicesEcologyQH540-549.5ENEcological Indicators, Vol 122, Iss , Pp 107227- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	UAV Coastal plant communities Above-ground biomass Sward structure Ecosystem services Ecology QH540-549.5
spellingShingle	UAV Coastal plant communities Above-ground biomass Sward structure Ecosystem services Ecology QH540-549.5 M. Villoslada Peciña T.F. Bergamo R.D. Ward C.B. Joyce K. Sepp A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows
description	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.
format	article
author	M. Villoslada Peciña T.F. Bergamo R.D. Ward C.B. Joyce K. Sepp
author_facet	M. Villoslada Peciña T.F. Bergamo R.D. Ward C.B. Joyce K. Sepp
author_sort	M. Villoslada Peciña
title	A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows
title_short	A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows
title_full	A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows
title_fullStr	A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows
title_full_unstemmed	A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows
title_sort	novel uav-based approach for biomass prediction and grassland structure assessment in coastal meadows
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/684a10d345494170831844a68a1b8158
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A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows

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