Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system

Microclimate and Land Surface Temperature (LST) are important analytical variables used to understand complex oil palm agroforestry systems and their effects on biodiversity and ecosystem functions. In order to examine experimental effects of tree species richness (0, 1, 2, 3 or 6), plot size (25 m2...

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Autores principales:	Laura Somenguem Donfack, Alexander Röll, Florian Ellsäßer, Martin Ehbrecht, Bambang Irawan, Dirk Hölscher, Alexander Knohl, Holger Kreft, Eduard J. Siahaan, Leti Sundawati, Christian Stiegler, Clara Delphine Zemp
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Microclimate Land surface temperature iButton Drone-based thermography Oil palm Agroforestry Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/1ac7bad7246542eaab061487e82cc88e
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spelling	oai:doaj.org-article:1ac7bad7246542eaab061487e82cc88e2021-11-28T04:33:23ZDataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system2352-340910.1016/j.dib.2021.107615https://doaj.org/article/1ac7bad7246542eaab061487e82cc88e2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921008908https://doaj.org/toc/2352-3409Microclimate and Land Surface Temperature (LST) are important analytical variables used to understand complex oil palm agroforestry systems and their effects on biodiversity and ecosystem functions. In order to examine experimental effects of tree species richness (0, 1, 2, 3 or 6), plot size (25 m2, 100 m2, 400 m2, 1600 m2) and stand structural complexity on microclimate and Land Surface Temperature, related data were collected following a strict design. The experiment was carried out in the Jambi province, in Sumatra (Indonesia), as part of the collaborative project EFForTS [Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems]. Microclimate data collected using miniaturized data loggers combined with drone-based thermal data were considered within an oil palm plantation enriched with six target tree species. The timeframe considered for data analysis was 20th September 2017 to 26th September 2017. The experiment data can be used for comparison with data from conventional oil palm agroforestry systems in the tropics. They can more specifically be used as reference to assess microclimate and Land Surface Temperature patterns within similar agroforestry systems.Laura Somenguem DonfackAlexander RöllFlorian EllsäßerMartin EhbrechtBambang IrawanDirk HölscherAlexander KnohlHolger KreftEduard J. SiahaanLeti SundawatiChristian StieglerClara Delphine ZempElsevierarticleMicroclimateLand surface temperatureiButtonDrone-based thermographyOil palmAgroforestryComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107615- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microclimate Land surface temperature iButton Drone-based thermography Oil palm Agroforestry Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
spellingShingle	Microclimate Land surface temperature iButton Drone-based thermography Oil palm Agroforestry Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Laura Somenguem Donfack Alexander Röll Florian Ellsäßer Martin Ehbrecht Bambang Irawan Dirk Hölscher Alexander Knohl Holger Kreft Eduard J. Siahaan Leti Sundawati Christian Stiegler Clara Delphine Zemp Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system
description	Microclimate and Land Surface Temperature (LST) are important analytical variables used to understand complex oil palm agroforestry systems and their effects on biodiversity and ecosystem functions. In order to examine experimental effects of tree species richness (0, 1, 2, 3 or 6), plot size (25 m2, 100 m2, 400 m2, 1600 m2) and stand structural complexity on microclimate and Land Surface Temperature, related data were collected following a strict design. The experiment was carried out in the Jambi province, in Sumatra (Indonesia), as part of the collaborative project EFForTS [Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems]. Microclimate data collected using miniaturized data loggers combined with drone-based thermal data were considered within an oil palm plantation enriched with six target tree species. The timeframe considered for data analysis was 20th September 2017 to 26th September 2017. The experiment data can be used for comparison with data from conventional oil palm agroforestry systems in the tropics. They can more specifically be used as reference to assess microclimate and Land Surface Temperature patterns within similar agroforestry systems.
format	article
author	Laura Somenguem Donfack Alexander Röll Florian Ellsäßer Martin Ehbrecht Bambang Irawan Dirk Hölscher Alexander Knohl Holger Kreft Eduard J. Siahaan Leti Sundawati Christian Stiegler Clara Delphine Zemp
author_facet	Laura Somenguem Donfack Alexander Röll Florian Ellsäßer Martin Ehbrecht Bambang Irawan Dirk Hölscher Alexander Knohl Holger Kreft Eduard J. Siahaan Leti Sundawati Christian Stiegler Clara Delphine Zemp
author_sort	Laura Somenguem Donfack
title	Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system
title_short	Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system
title_full	Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system
title_fullStr	Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system
title_full_unstemmed	Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system
title_sort	dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/1ac7bad7246542eaab061487e82cc88e
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Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry system

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