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...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921008908 |
| _version_ | 1819174937352470528 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-22T20:46:54Z |
| format | Article |
| id | doaj.art-1ac7bad7246542eaab061487e82cc88e |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-22T20:46:54Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-1ac7bad7246542eaab061487e82cc88e2022-12-21T18:13:12ZengElsevierData in Brief2352-34092021-12-0139107615Dataset on microclimate and drone-based thermal patterns within an oil palm agroforestry systemLaura Somenguem Donfack0Alexander Röll1Florian Ellsäßer2Martin Ehbrecht3Bambang Irawan4Dirk Hölscher5Alexander Knohl6Holger Kreft7Eduard J. Siahaan8Leti Sundawati9Christian Stiegler10Clara Delphine Zemp11University of Goettingen, Silviculture and Forest Ecology of the Temperate Zones, Büsgenweg 1, Göttingen 37077, Germany; University of Goettingen, Biodiversity, Macroecology and Biogeography, Büsgenweg 1, Göttingen 37077, Germany; Corresponding author at: University of Goettingen, Silviculture and Forest Ecology of the Temperate Zones, Büsgenweg 1, Göttingen 37077, Germany.University of Goettingen, Tropical Silviculture and Forest Ecology, Büsgenweg 1, Göttingen 37077, GermanyUniversity of Goettingen, Tropical Silviculture and Forest Ecology, Büsgenweg 1, Göttingen 37077, GermanyUniversity of Goettingen, Silviculture and Forest Ecology of the Temperate Zones, Büsgenweg 1, Göttingen 37077, GermanyUniversity of Jambi, Faculty of Forestry, Jln Raya Jambi, Jambi 36361, IndonesiaUniversity of Goettingen, Tropical Silviculture and Forest Ecology, Büsgenweg 1, Göttingen 37077, Germany; University of Goettingen, Centre of Biodiversity and Sustainable Land Use, Büsgenweg 1, Göttingen 37077, GermanyUniversity of Goettingen, Centre of Biodiversity and Sustainable Land Use, Büsgenweg 1, Göttingen 37077, Germany; University of Goettingen, Bioclimatology, Büsgenweg 2, Göttingen 37077 GermanyUniversity of Goettingen, Biodiversity, Macroecology and Biogeography, Büsgenweg 1, Göttingen 37077, Germany; University of Goettingen, Centre of Biodiversity and Sustainable Land Use, Büsgenweg 1, Göttingen 37077, GermanyUniversity of Jambi, Faculty of Forestry, Jln Raya Jambi, Jambi 36361, IndonesiaDepartment of Forest Management, Bogor Agricultural University, Kampus IPB Darmaga, Bogor 16680, IndonesiaUniversity of Goettingen, Bioclimatology, Büsgenweg 2, Göttingen 37077 GermanyUniversity of Goettingen, Biodiversity, Macroecology and Biogeography, Büsgenweg 1, Göttingen 37077, Germany; University of Goettingen, Centre of Biodiversity and Sustainable Land Use, Büsgenweg 1, Göttingen 37077, Germany; University of Neuchâtel, Institute of Biology, Conservation Biology Lab, Rue Emilie-Argand 11, Neuchâtel CH-2000, SwitzerlandMicroclimate 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.http://www.sciencedirect.com/science/article/pii/S2352340921008908MicroclimateLand surface temperatureiButtonDrone-based thermographyOil palmAgroforestry |
| spellingShingle | 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 Data in Brief Microclimate Land surface temperature iButton Drone-based thermography Oil palm Agroforestry |
| title | 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_short | 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 |
| topic | Microclimate Land surface temperature iButton Drone-based thermography Oil palm Agroforestry |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921008908 |
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