| Literature DB >> 29717144 |
Christoph Ptatscheck1, Birgit Gansfort2, Walter Traunspurger2.
Abstract
Wind-mediated transport is an important mechanism in the dispersal of small metazoans. Yet, concrete dispersal rates have hardly been examined. Here we present the results of an one-year field experiment investigating the composition and dispersal rates of aeroplankton. To gain insights into the dynamics of dispersal at the species level, we focused on nematodes, worldwide the most common metazoan taxon. Among the six taxa collected in this study (nematodes, rotifers, collembolans, tardigrades, mites, and thrips), nematodes had the highest dispersal rates (up to >3000 individuals m-2 in 4 weeks, 27 species identified) and represented >44% of aeroplankton. Only living nematodes, and no propagules, were dispersed. All taxa had a higher dispersal potential in environments linked to the source habitat, evidenced by the much higher deposition of organisms in funnels placed on the ground than on the rooftop of a ten-story building. Nematodes under conditions of high humidity and wind speed had the highest dispersal rates, while increasing temperatures and dryness had a significantly positive impact on the wind drift of mites and thrips. The results indicated that wind dispersal over long distances is possible. The notable organismal input by wind dispersal may contribute to biodiversity and ecosystem functions.Entities:
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Year: 2018 PMID: 29717144 PMCID: PMC5931521 DOI: 10.1038/s41598-018-24747-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Experimental setup of the two investigated treatments. One set of funnels was filled with formaldehyde and sampled every 2 weeks. A second set of funnels was filled with water and sediment and sampled and refilled after 4 weeks. Both the formaldehyde- and water-filled funnels were placed in a natural environment (meadow) and on the rooftop of a building at Bielefeld University.
Mean number of individuals (Ind.) m−2 collected within 4 weeks (N = 14, 14 months of sampling) from funnels filled with formaldehyde (±SD), the mean percentage of the aeroplankton (N = 14), and the maximal dispersal rate (Ind. m−2 in 4 weeks) from the ground and roof treatments.
| Ground | Roof | ||
|---|---|---|---|
| Individuals found | N = 617 | N = 136 | |
| Nematodes | Mean no. Ind. | 726.8 (933.1) | 124.9 (129.3) |
| Mean percentage | 44.7 | 46.3 | |
| Max dispersal rate (Ind. m2 in 4 weeks) | 3021 | 445 | |
| Rotifers | Mean no. Ind. | 34.1 (47.3) | 18.2 (32.2) |
| Mean percentage | 8.0 | 2.0 | |
| Max dispersal rate (Ind. m2 in 4 weeks) | 95 | 64 | |
| Tardigrades | Mean no. Ind. | 38.6 (48.6) | 2.3 (8.5) |
| Mean percentage | 0.3 | 3.9 | |
| Max dispersal rate (Ind. m2 in 4 weeks) | 64 | 32 | |
| Mites | Mean no. Ind. | 84.0 (100.3) | 186.3 (215.6) |
| Mean percentage | 14.3 | 17.8 | |
| Max dispersal rate (Ind. m2 in 4 weeks) | 191 | 127 | |
| Collembolans | Mean no. Ind. | 159.0 (300.6) | 6.8 (18.4) |
| Mean percentage | 1.4 | 11.2 | |
| Max. dispersal rate (Ind. m2 in 4 weeks) | 382 | 64 | |
| Thrips | Mean no. Ind. | 274.8 (933.1) | 184.0 (337.7) |
| Mean percentage | 31.3 | 18.7 | |
| Max. dispersal rate (Ind. m2 in 4 weeks) | 636 | 350 |
Figure 2Dispersal rates (Ind. m−2 in 4 weeks) of the wind-drifted taxa (nematodes, rotifers, tardigrades, mites, collembolans, and thrips), collected on the ground (filled circles) and on the roof (blank circles). Each data point represents the summed organism number of three replicates subsequently extrapolated to 1 m2.
The percentages of size classes and sex distribution of nematodes collected from funnels filled with formaldehyde or water and placed within a natural environment or on the roof of Bielefeld University.
| Ground | Roof | ||||
|---|---|---|---|---|---|
| Formaldehyde | Water | Formaldehyde | Water | Control | |
| Nematodes found | 318 | 271 | 57 | 28 | 113 |
| Nenatodes identified | 303 | 219 | 45 | 27 | 108 |
| Number of species | 17 | 17 | 13 | 7 | 6 |
| Size classes (%) | |||||
| <0,25 mm | 7.2 | 2.6 | 10.5 | 3.6 | — |
| 0.25–0.5 mm | 28.3 | 34.3 | 47.4 | 10.7 | — |
| 0.5–0.75 mm | 27.7 | 21.0 | 29.8 | 50.0 | — |
| 0.75–1 mm | 33.3 | 38.0 | 10.5 | 17.9 | — |
| >1 mm | 3.5 | 4.1 | 1.8 | 17.9 | — |
| Sex distribution (%) | |||||
| juveniles | 56.1 | 61.2 | 73.8 | 70.4 | 80.6 |
| adults | 43.9 | 38.8 | 26.2 | 29.6 | 19.4 |
| adult males | 2.6 | 1.4 | 6.6 | 0.0 | 0.0 |
| adult females | 41.3 | 37.4 | 19.7 | 29.6 | 19.4 |
| gravid females | 2.3 | 4.6 | 0.0 | 3.7 | 0.9 |
Data from the control, nematodes collected from stones, organic material, or plants on the roof, are also provided. Nematode numbers in the different replicates and from the different sampling dates were summed for each treatment before further calculation. The percentage of size classes is based on the number of collected nematodes, and the sex distribution on the number of identified nematodes.
Figure 3Percentage composition of nematode species from funnels filled with formaldehyde or water placed within a natural environment or on the roof of Bielefeld University. The number of identified individuals is also shown. The letters after the species names indicate their natural occurrence: terrestrial (T), semiaquatic (S), limnic (L). Underlined taxa are those that were also found between stones, organic material, and plants on the roof. The nematode taxa are sorted by frequency.
A generalized linear model using the negative binomial family.
| Taxon | Coefficient | Estimate | Standard error | Z value | p |
|---|---|---|---|---|---|
| Nematodes | Intercept | −8.95 | 2.59 | −3.46 | < |
| Humidity | 0.12 | 0.03 | 4.13 | < | |
| Wind speed | 0.23 | 0.10 | 2.28 |
| |
| Mites | Intercept | −0.74 | 0.49 | −1.50 | 0.133 |
| Temperature | 0.17 | 0.04 | 4.62 | < | |
| Thrips | Intercept | 18.96 | 3.74 | 5.06 | < |
| Humidity | −0.22 | 0.05 | −4.62 | < |
The response variables were the organism counts in the funnels with formaldehyde (pooled number from the roof and ground samples) and the possible predictors were temperature, humidity, wind speed, and precipitation. The presented models are those that best fit the data during the model selection process (see Table S1).