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Grohmann, Constanze (2014): Table 1: Main characteristics of the BIOTA observatories included in this study & Table 3: Occurrence of termite taxa at the observatories [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.827696, Supplement to: Grohmann, C (2010): Termite mediated heterogeneity of soil and vegetation patternsin a semi‐arid savanna ecosystem in Namibia = Einfluss von Termiten auf Vegetations- und Bodenmuster eines semi-ariden Savannenökosystems in Namibia [dissertation]. Julius‐Maximilians‐Universität Würzburg, 100 pp, urn:nbn:de:bvb:20-opus-54318

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Published: 2014-01-26DOI registered: 2014-02-23

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Abstract:
Termites are the most important soil ecosystem engineers of semi‐arid and arid habitats. They enhance decomposition processes as well as the subsequent mineralisation of nutrients by bacteria and fungi. Through their construction of galleries, nests and mounds, they promote soil turnover and influence the distribution of nutrients and also alter texture and hydrological properties of soils, thereby affecting the heterogeneity of their ecosystem.
The main aim of the present thesis was to define the impact of termites on ecosys‐tem functioning in a semi‐arid ecosystem. In a baseline study, I assessed the diversity of termite taxa in relation to the amount of precipitation, the vegetation patterns and the land use systems at several sites in Namibia. Subsequently, I focussed on a species that is highly abundant in many African savannas, the fungus growing and mound building species Macro‐termes michaelseni (Sjöstedt, 1914). I asked how this species influences the spatial hetero‐geneity of soil and vegetation patterns. From repeated samplings at 13 sites in Namibia, I obtained 17 termite taxa of 15 genera. While the type of land use seems to have a minor effect on the termite fauna, the mean annual precipitation explained 96% and the Simpson index of vascular plant diversity 81% of the variation in taxa diversity. The number of termite taxa increased with both of these explanation variables.
In contrast to former studies on Macrotermes mounds in several regions of Africa that I reviewed, soil analyses from M. michaelseni mounds in the central Namibian savanna revealed that they contain much higher nitrogen contents when compared to their parent material. Further analyses revealed that nitrate forms a major component of the nitrogen content in termite mounds. As nitrate solves easily in water, evaporation processes are most probably responsible for the transport of solved nitrates to the mound surface and their accumulation there. The analysed mounds in central Namibia contained higher sand propor‐tions compared to the mounds of the former studies. Through the higher percentage of coarse and middle sized pores, water moves more easily in sandy soils compared to more clayey soils. In consequence, evaporation‐driven nitrate accumulation can occur in the studied mounds at high rates. ff...
Coverage:
Median Latitude: -22.573077 * Median Longitude: 16.936923 * South-bound Latitude: -26.400000 * West-bound Longitude: 14.730000 * North-bound Latitude: -18.300000 * East-bound Longitude: 19.260000
Minimum ELEVATION: 188 m a.s.l. * Maximum ELEVATION: 1865 m a.s.l.
Event(s):
Namibia * Latitude: -22.500000 * Longitude: 17.200000 * Location: Namibia, Africa
Comment:
r: rare occurrence of the taxon at the Observatory; i.e. the taxon was not found during the standardized sampling, but during additional sampling.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
LATITUDELatitudeGeocode
LONGITUDELongitudeGeocode
ELEVATIONElevationm a.s.l.Geocode
BiomeBiomeGrohmann, Constanze
SubtransectSubtransectGrohmann, Constanze
NameNameGrohmann, Constanze
AbbreviationAbbrevGrohmann, Constanze
Temperature, air, annual meanMAAT°CGrohmann, Constanzebased on global interpolations, mostly from WorldClim (Hijmans et al. 2005; see http://www.worldclim.org) for the period 1950-2000
Temperature, annual rangeATR°CGrohmann, ConstanzeDifference in the mean temperature between the coldest and the warmest month
10 Precipitation, annual meanMAPmmGrohmann, Constanzebased on global interpolations, mostly from WorldClim (Hijmans et al. 2005; see http://www.worldclim.org) for the period 1950-2000
11 Precipitation, seasonalityPrecip season%Grohmann, ConstanzeVariability of the precipitation among the means of the 12 months, expressed as coefficient of variation
12 Simpson index of diversitySimpson IGrohmann, Constanze
13 Land useLand useGrohmann, Constanze
14 Land useLand useGrohmann, Constanze
15 Trinervitermes sp.Trinervitermes sp.Grohmann, Constanze
16 Rhadinotermes sp.Rhadinotermes sp.Grohmann, Constanze
17 Fulleritermes sp.Fulleritermes sp.Grohmann, Constanze
18 Baucaliotermes hainesiB. hainesiGrohmann, Constanze
19 Promirotermes sp.Promirotermes sp.Grohmann, Constanze
20 Microcerotermes sp.Microcerotermes sp.Grohmann, Constanze
21 Lepidotermes sp.Lepidotermes sp.Grohmann, Constanze
22 Angulitermes sp.Angulitermes sp.Grohmann, Constanze
23 Amitermes sp.Amitermes sp.Grohmann, Constanze
24 Odontotermes sp.Odontotermes sp.Grohmann, Constanze
25 Odontotermes okahandjaeO. okahandjaeGrohmann, Constanze
26 Odontotermes okahandjaeO. okahandjaeGrohmann, Constanze
27 Microtermes sp.Microtermes sp.Grohmann, Constanze
28 Macrotermes sp.Macrotermes sp.Grohmann, Constanze
29 Allodontermes sp.Allodontermes sp.Grohmann, Constanze
30 Psammotermes allocerusP. allocerusGrohmann, Constanze
31 Hodotermes mossambicusH. mossambicusGrohmann, Constanze
Size:
362 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Latitude

Longitude

Elevation [m a.s.l.]

Biome

Subtransect

Name

Abbrev

MAAT [°C]
(based on global interpolation...)

ATR [°C]
(Difference in the mean temper...)
10 
MAP [mm]
(based on global interpolation...)
11 
Precip season [%]
(Variability of the precipitat...)
12 
Simpson I
13 
Land use
14 
Land use
15 
Trinervitermes sp.
16 
Rhadinotermes sp.
17 
Fulleritermes sp.
18 
B. hainesi
19 
Promirotermes sp.
20 
Microcerotermes sp.
21 
Lepidotermes sp.
22 
Angulitermes sp.
23 
Amitermes sp.
24 
Odontotermes sp.
25 
O. okahandjae
26 
O. okahandjae
27 
Microtermes sp.
28 
Macrotermes sp.
29 
Allodontermes sp.
30 
P. allocerus
31 
H. mossambicus
-18.3019.251180Woodland SavannaN01 Mile 46M4622.2009.65361060.92Research farming for cattle breedingLowv-v-vr---r--v-vvv
-18.3019.261180Woodland SavannaN02 MutompoMTP22.2009.75361060.90Cattle grazingHighv-v-vv--vv--r-vvv
-21.5016.731519Thornbush SavannaN04 ToggekryTOG19.1009.83941100.77Farming with game for huntingMediumvv-----r--v-vv--v
-21.6016.941495Thornbush SavannaN05 OtjiamongombeOTJ19.3009.83961060.85Farming with cattle and game for huntingMediumv---------vvvvv-v
-23.1216.901624Nama KarooN39 NaraisNRS18.60010.82891080.79Farming with cattleLowv------vv-v----vv
-23.1316.901614Nama KarooN40 DuruchausDRS18.60010.92871120.76Farming with cattle and goatsMediumr------rv-v----vv
-26.4018.001099Nama KarooN10 Gellap OstGLP20.50012.91531060.67Farming with sheep, cattle and horsesMedium---v-----------vv
-26.3918.001045Nama KarooS11 NabaosNBS20.80012.91461030.62Farming with goats, sheep and donkeysHigh---------------vr
-22.9914.73188Namib DesertW34 KleinbergKBG17.6005.61690Conservation areaNone-----------------
-22.5315.05419Namib DesertW35 GobabebGBB20.9006.62184Conservation areaNone---------------v-
-23.1215.54995Namib DesertW36 GanabGNB19.5007.01291300.60Conservation areaNonev-------v------vv
-23.2916.101160Thornbush SavannaW37 RooisandRSD19.5008.52001250.77Conservation areaMediumv-----v--------vv
-22.7816.781865Thornbush SavannaE38 ClaratalCTL17.90010.13351100.90Farming with cattle and gane for huntingMedium-----------------