scholarly journals Spatial and temporal variability of mobile macro-invertebrate assemblages associated to coralligenous habitat

2014 ◽  
Vol 15 (2) ◽  
pp. 302 ◽  
Author(s):  
R. BEDINI ◽  
L. BONECHI ◽  
L. PIAZZI
Keyword(s):  
Spatial Scale ◽  
Temporal Variability ◽  
Sampling Design ◽  
High Variability ◽  
Spatial And Temporal Variability ◽  
Macroinvertebrate Assemblages ◽  
Invertebrate Assemblages ◽  
One Year ◽  
Sessile Organisms

The study aimed to investigate patterns of spatial and temporal variability of mobile macroinvertebrate assemblages associated to coralligenous habitat. A multi-factorial sampling design was used to test the hypotheses that the structure of assemblages and their spatial and temporal variability changed in relation to substrate inclination. Moreover, macroalgae and sessile macro-invertebrates were also investigated in order to detect eventual relationship between sessile and mobile assemblages. A total of 236 mobile macro-invertebrate taxa were identified, among them 2 Platyhelminthes, 4 Sipuncula, 6 Nemertea, 27 Mollusca, 86 Annelida, 103 Arthropoda, 8 Echinodermata. Results of the study showed that mobile macro-invertebrate assemblages of coralligenous habitat were little influenced by the inclination of substrate and by the morphology of sessile organisms, as patterns of variation were different between the two assemblages. Mobile macro-invertebrate assemblages changed among sampling dates within one year period and they showed high variability at the spatial scale examined.

Mapping the origin of faunal assemblages using strontium isotopes

Paleobiology ◽  
2003 ◽  
Vol 29 (2) ◽  
pp. 197-204 ◽  
Author(s):  
Stephen Porder ◽  
Adina Paytan ◽  
Elizabeth A. Hadly
Keyword(s):  
Spatial Scale ◽  
Temporal Variability ◽  
National Park ◽  
Local Population ◽  
Spatial And Temporal Variability ◽  
Sr Isotopes ◽  
Source Areas ◽  
Population Responses ◽  
Faunal Assemblages ◽  
The Past

One of the greatest challenges in using faunal assemblages to make ecological or paleoecological interpretations is determining the spatial scale over which such analyses are applicable. As a result, it has been difficult to use these assemblages to test hypotheses about spatial and temporal variability in populations. Here we show that it is possible to use strontium (Sr) isotopes from bones and vegetation to statistically constrain the area sampled in two Holocene predator accumulations in northeastern Yellowstone National Park, Wyoming. Previous studies have used these sites to elucidate local population responses to climatic change, by assuming that the specimens originated within ~5 km of the site. We used Sr analyses to construct a likelihood curve that describes the probability that our samples were collected within a given radius of each site. Our results indicate that the specimens in both sites were derived from non-overlapping populations and that the collection radius has not changed detectably over the past 3000 years. This work underscores the promise of this technique for ascribing source areas to paleontological, biological, and ecological specimens.

scholarly journals Suggested Sampling Methodology for Lake Benthic Macroinvertebrates under the Requirements of the European Water Framework Directive

Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1353
Author(s):  
Chrysoula Ntislidou ◽  
Dimitra Bobori ◽  
Maria Lazaridou
Keyword(s):  
Benthic Macroinvertebrates ◽  
Temporal Variability ◽  
Sampling Design ◽  
Benthic Macroinvertebrate ◽  
Spatial And Temporal Variability ◽  
Sampling Effort ◽  
Taxa Richness ◽  
Natural Lakes ◽  
European Water ◽  
Precision Level

The estimation of the number of samples required for reliably monitoring lakes’ benthic macroinvertebrates is difficult due to the natural variability and cost and time constraints. To determine a statistically robust and effective sampling design, we collected benthic macroinvertebrate samples from 15 Greek natural lakes. We compared the spatial and temporal variability of the benthic macroinvertebrate community composition to identify differences among lakes, between lake zones (sublittoral and profundal) and sampling periods. Furthermore, we examined the sampling precision and determined the number of required samples to attain maximum taxa richness. The diminution of the sampling effort was estimated and the desired precision level, considering different benthic macroinvertebrate abundances, was modelled. No temporal or spatial variation between lake zones was observed in communities’ compositions. The precision of our sampling design was adequate, and rarefaction curves revealed an adequate taxa richness (>70%). The developed model could be applied to assess the required sampling effort in lakes within the Mediterranean ecoregion with similar benthic macroinvertebrate abundances.

scholarly journals Spatial and Temporal Variability of Parasite Communities: Implications for Fish Stock Identification

Fishes ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 71
Author(s):  
Juan F. Espínola-Novelo ◽  
Marcelo E. Oliva
Keyword(s):  
Spatial Scale ◽  
Temporal Variability ◽  
Temporal Scale ◽  
Fish Stock ◽  
Spatial And Temporal Variability ◽  
Stock Identification ◽  
Parasite Communities ◽  
Principal Coordinates ◽  
Ca 50 ◽  
Engraulis Ringens

The spatial and temporal variability of parasite communities have received little attention when used as biological tags for identifying fish stocks. This study evaluated the potential spatial and temporal variability of the parasite communities affecting three marine fish species collected between 1993 and 2017. To avoid the potential effect of host age in parasite communities, individuals of similar ages were selected: 1123 Engraulis ringens (12–24 months old), 1904 Trachurus murphyi (24–36 months old), and 630 Merluccius gayi (36–48 months old). Most taxa show differences in the prevalence at the spatial and temporal scales, but the prevalence of some larval endoparasites remains constant at the temporal scale. At the spatial scale, an analysis of similarity (ANOSIM) showed differences in the parasite communities of three species; a canonical analysis of principal coordinates (CAP) showed low values of correct allocations (CA; ≈50%) and values of allocation due to chance (AdC) were lower than the CA. At the temporal scale, an ANOSIM showed differences between the three species. A CAP showed low values of CA (≈50–60%) and the AdC was always lower than CA. Samples at the spatial scale were well allocated to their localities or nearby localities, suggesting a spatial stability. Samples from different years were not well discriminated, suggesting temporal variability. Therefore, in studies regarding parasites as a tool for stock identification, temporal variability must be taken into account.

Spatial and temporal variability in the structure of invertebrate assemblages in control stream mesocosms

2004 ◽  
Vol 38 (1) ◽  
pp. 128-138 ◽  
Author(s):  
Diana C.L. Wong ◽  
Lorraine Maltby ◽  
Don Whittle ◽  
Philip Warren ◽  
Philip B. Dorn
Keyword(s):  
Temporal Variability ◽  
Spatial And Temporal Variability ◽  
Stream Mesocosms ◽  
Invertebrate Assemblages ◽  
Control Stream

Response of Corn Grain Yield to Spatial and Temporal Variability in Emergence

Crop Science ◽  
2004 ◽  
Vol 44 (3) ◽  
pp. 847 ◽  
Author(s):  
Weidong Liu ◽  
Matthijs Tollenaar ◽  
Greg Stewart ◽  
William Deen
Keyword(s):  
Grain Yield ◽  
Temporal Variability ◽  
Spatial And Temporal Variability ◽  
Corn Grain ◽  
Corn Grain Yield
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