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Ferger, Stefan W; Schleuning, Matthias; Böhning-Gaese, Katrin (2018): Bird communities on the study plots of the Kilimanjaro Research Unit (only bird individuals that have been observed below maximum vegetation height) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.896165, In supplement to: Ferger, Stefan W; Schleuning, Matthias; Hemp, Andreas; Howell, Kim M; Böhning-Gaese, Katrin (2014): Food resources and vegetation structure mediate climatic effects on species richness of birds. Global Ecology and Biogeography, 23(5), 541-549, https://doi.org/10.1111/geb.12151

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Abstract:
We used audiovisual point counts on eight subplots per plot to record birds in the warm dry season (December to March) and in the cold dry season (July to October). We established circles with a 20-m radius in densely vegetated habitats (savanna and all forest habitats) and 35.5 m × 35.5 m squares at Helichrysum plots, covering the same sampling area in all habitat types. All birds heard or seen in one subplot were counted for 10 min and identified to species level. Point counts started 15 min before sunrise and were completed before 09:00. All 480 point counts (30 plots × 8 subplots × 2 seasons) were conducted by the same observer (Ferger S. W.) to reduce inter-observer variability. This dataset contains (a) only subplots at which birds were observed and (b) no birds that were observed higher than maximum canopy height of the respective subplot in the respective season, which was achieved by combining "Data on bird communities on the study plots of the Kilimanjaro Research Unit including all bird individuals observed during point counts" and "Data on habitat characters and fruit and flower abundance on the study plots of the Kilimanjaro Research Unit". (a) is a simple modification and (b) is a common (and often necessary!) modification of ornithological datasets. Note, however, that this causes three plots to be removed from the dataset, as no birds were observed on those: hel4 in the cold season and hel3 in both seasons. This means that if you e.g. intend to calculate species richness across all plots, you may want to include them manually with a species richness of zero. If you do not know what these modifications mean in terms of suitability of this dataset for your intended analyses, you should definitively contact the data owner and maybe consider the original and complete dataset "Data on bird communities on the study plots of the Kilimanjaro Research Unit including all bird individuals observed during point counts".
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: -3.234798 * Median Longitude: 37.408540 * South-bound Latitude: -3.388910 * West-bound Longitude: 37.193670 * North-bound Latitude: -3.050830 * East-bound Longitude: 37.684015
Date/Time Start: 2010-12-24T00:00:00 * Date/Time End: 2012-10-05T00:00:00
Minimum ALTITUDE: 860 m * Maximum ALTITUDE: 4550 m
Event(s):
KiLi_cof1 * Latitude: -3.240000 * Longitude: 37.250000 * Location: Mount Kilimanjaro, Tanzania * Comment: POLETYPE: a middle pole; ECOSYTEM: coffee plantation
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
Comment:
Point count data of birds for all 60 plots plus 4 sun-coffee-plantations. In contrast to the dataset "SP6_PointCountsBirds" this dataset contains (a) only subplots at which birds were observed and (b) no birds that were observed higher than maximum canopy height of the respective subplot in the respective season, which was achieved by combining "SP6_PointCountsBirds" and "SP6_HabitatCharacters". (a) is a simple modification and (b) is a common (and often necessary!) modification of ornithological datasets. Note, however, that this causes three plots to be removed from the dataset, as no birds were observed on those: hel4 in the cold season and hel3 in both seasons. This means that if you e.g. intend to calculate species richness across all plots, you may want to include them manually with a species richness of zero. If you do not know what these modifications mean in terms of suitability of this dataset for your intended analyses, you should definitively contact the data owner and maybe consider the original and complete dataset "SP6_PointCountsBirds".
distance/height =measured with a laser range finder or estimated when measurement was not possible (i.e. in dense vegetation)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventBöhning-Gaese, Katrin
2HabitatHabitatBöhning-Gaese, Katrin
3PlotPlotBöhning-Gaese, Katrin
4NumberNoBöhning-Gaese, Katrincircle (number of subplot with a radius of 20 m (in gra, hel and mai I used squres with 35 m edge length rather than circles > note that this leads to different maximum bird-observer-distances under distance))
5SeasonSeasonBöhning-Gaese, Katrinhot or cold dry season
6Area/localityAreaBöhning-Gaese, Katrin
7ALTITUDEAltitudemBöhning-Gaese, KatrinBarometer (BARO)Geocode – of plot above sea level
8LATITUDELatitudeBöhning-Gaese, KatrinGlobal positioning system (GPS)Geocode – of plot
9LONGITUDELongitudeBöhning-Gaese, KatrinGlobal positioning system (GPS)Geocode – of plot
10DATE/TIMEDate/TimeBöhning-Gaese, KatrinGeocode – date in which point counts were conducted
11InvestigatorInvestigatorBöhning-Gaese, Katrinobservers who conducted the point counts
12Date/time startDate/time startBöhning-Gaese, Katrinstart time of point count
13Date/time endDate/time endBöhning-Gaese, Katrinend time of point count
14SpeciesSpeciesBöhning-Gaese, Katrinaccording to Stevenson & Fanshaweenglish name of the species
15Aves, number of birdsAves no#Böhning-Gaese, KatrinCountednumber of birds within one observation (i.e. a single bird or a flock of 8 birds)
16DistanceDistancemBöhning-Gaese, Katrinclosest distance of the bird to the observer (in gra, hel and mai I used squres with 35 m edge length rather than circles > note that this leads to different maximum bird-observer-distances under distance
17HeightHeightmBöhning-Gaese, Katrinheight of the bird above ground at the moment of closest distance to the observer
18ObservationObsBöhning-Gaese, Katrinperch = bird is perching; flight = bird is flying; sound = bird not seen, just heard
Size:
54990 data points

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