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Classen, Alice; Ferger, Stefan W; Helbig-Bonitz, Maria; Peters, Marcell Karl; Schmack, Julia; Schleuning, Matthias; Böhning-Gaese, Katrin; Steffan-Dewenter, Ingolf (2018): Fruit weight of coffee beans from an pollinator/vertebrate-exclosure experiment conducted in three different land use types at Mount Kilimanjaro [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.892792, Supplement to: Classen, Alice; Peters, Marcell Karl; Ferger, Stefan W; Helbig-Bonitz, Maria; Schmack, Julia; Maassen, G; Schleuning, Matthias; Kalko, Elisabeth K V; Böhning-Gaese, Katrin; Steffan-Dewenter, Ingolf (2014): Complementary ecosystem services provided by pest predators and pollinators increase quantity and quality of coffee yields. Proceedings of the Royal Society B-Biological Sciences, 281(1779), 20133148-20133148, https://doi.org/10.1098/rspb.2013.3148

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Published: 2018-08-02DOI registered: 2019-02-09

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Abstract:
Wild animals substantially support crop production by providing ecosystem services, such as pollination and natural pest control. However, the strengths of synergies between ecosystem services and their dependencies on land-use management are largely unknown. Here, we took an experimental approach to test the impact of land-use intensification on both individual and combined pollination and pest control services in coffee production systems at Mount Kilimanjaro. We established a full-factorial pollinator and vertebrate exclosure experiment along a land-use gradient from traditional homegardens (agroforestry systems), shaded coffee plantations to sun coffee plantations (total sample size = 180 coffee bushes). The exclusion of vertebrates led to a reduction in fruit set of ca 9%. Pollinators did not affect fruit set, but significantly increased fruit weight of coffee by an average of 7.4%. We found no significant decline of these ecosystem services along the land-use gradient. Pest control and pollination service were thus complementary, contributing to coffee production by affecting the quantity and quality of a major tropical cash crop across different coffee production systems at Mount Kilimanjaro.
Further details:
Hemp, Andreas: Detailed position of KiLi research plots [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.894721
Project(s):
Funding:
German Research Foundation (DFG), grant/award no. 107847609: Kilimanjaro Research Group
Coverage:
Median Latitude: -3.263333 * Median Longitude: 37.345833 * South-bound Latitude: -3.340000 * West-bound Longitude: 37.190000 * North-bound Latitude: -3.190000 * East-bound Longitude: 37.600000
Date/Time Start: 2012-05-02T00:00:00 * Date/Time End: 2012-11-30T00:00:00
Minimum ALTITUDE: 1120 m * Maximum ALTITUDE: 1660 m
Event(s):
KiLi_cof2 * Latitude: -3.230000 * Longitude: 37.270000 * Location: Mount Kilimanjaro, Tanzania * Comment: POLETYPE: a middle pole; ECOSYTEM: coffee plantation
KiLi_cof3 * Latitude: -3.250000 * Longitude: 37.320000 * Location: Mount Kilimanjaro, Tanzania * Comment: POLETYPE: a middle pole; ECOSYTEM: coffee plantation
KiLi_cof4 * Latitude: -3.280000 * Longitude: 37.320000 * Location: Mount Kilimanjaro, Tanzania * Comment: POLETYPE: a middle pole; ECOSYTEM: coffee plantation
Comment:
Treatment description: Poll (Pollinator): 2 randomly selected twigs of the tree where covered with gauze during coffee blossom to exclude pollinators - two randomly selected twigs were marked as control twigs, Vert (Vertebrate Exclosure): The whole coffee tree was covered with a net to exclude vertebrates (birds and bats) - two twigs were selected,
Poll/Vert: combination of Poll and Vert on one tree, Control: open control with two selected twigs. On all selected twigs we counted fruitsets and harvested the fruits for quality assessment.....
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventSteffan-Dewenter, Ingolf
2HabitatHabitatSteffan-Dewenter, Ingolf
3PlotPlotSteffan-Dewenter, Ingolf
4ALTITUDEAltitudemSteffan-Dewenter, IngolfGeocode
5Sample IDSample IDSteffan-Dewenter, IngolfOf cluster
6DescriptionDescriptionSteffan-Dewenter, IngolfOf treatment (see, comment)
7Sample IDSample IDSteffan-Dewenter, IngolfOf tree to identify, which berries derive from the same tree
8DescriptionDescriptionSteffan-Dewenter, IngolfOf branch
9TreatmentTreatSteffan-Dewenter, IngolfPollEx: The REAL Treatment (e.g. the control twig on the Pollinator-Exclosure Tree gets 0 as it was NOT covered with gauze)
10TreatmentTreatSteffan-Dewenter, IngolfVertEx: The REAL Treatment: all Vert and Poll/Vert-Trees get 1
11NumberNoSteffan-Dewenter, IngolfOf berrys: 15 Coffee berries (only red ones) randomly selected
12MassMassgSteffan-Dewenter, IngolfThe berry weight is strongly correlated to the seed weight
13CountsCounts#Steffan-Dewenter, IngolfOf seeds. Poorly developed seeds were included in the counting
14IndexIndexSteffan-Dewenter, IngolfOf peaberry = 1: yes, 0: no (sometimes only one of the two seeds is fertilized. The fertilized seed is oval (or pea-shaped))
15IndexIndexSteffan-Dewenter, IngolfOf size difference = 1: yes, 0: no (both seeds were developed but considerablye different in size)
16Presence/absencePresence/absenceSteffan-Dewenter, IngolfCoffee Berry Borer (CBB)
17Presence/absencePresence/absenceSteffan-Dewenter, IngolfOf any abnormalities or infestations
18DATE/TIMEDate/TimeSteffan-Dewenter, IngolfGeocode – Of harvesting
19IndexIndexSteffan-Dewenter, Ingolf1: yes, berry was taked from the originally marked twig, 0: Berry was harvested of the same tree but not from the originally twig (only possible for Controls). We tried to prefer original twig!
Size:
69120 data points

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