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40 results for “Spider abundance”
Prairie manure application impacts on floral abundance, plant growth, plant community structure, insect and spider community abundance and activity density in experimental plots in Ames, Iowa (2021-2022).
This dataset contains results from a two-year field experiment at Iowa State University’s Horticulture Research Station to evaluate the effects of dairy manure application on native prairie plant and insect communities. We established replicated 4 m² plots across two field types, an established tallgrass prairie and a tilled crop field, and applied four manure treatments (weekly, biweekly, once per season, and control) using liquid slurry from a local dairy farm. Plant responses were monitored through weekly measurements of mortality, ground cover, floral abundance, plant height, and visual obstruction. Insect communities were sampled biweekly using vacuum suction for foliage and flower visitors and pitfall traps for ground-dwelling arthropods. Collected insects were identified to order, with Hymenoptera and Carabidae further resolved to family or genus.
Figure 11 Seasonal abundance ofEotetranychus. carpiniobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 11 Seasonal abundance ofEotetranychus. carpiniobserved during 2010 (months are indicated in x-axis) on different treatments in Farm B.
Figure 7 Seasonal abundance ofKampimodromus aberransobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 7 Seasonal abundance ofKampimodromus aberransobserved during 2010 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 2 Seasonal abundance ofEotetranychus carpiniobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 2 Seasonal abundance ofEotetranychus carpiniobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 8 Seasonal abundance ofTyphlodromus pyriobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 8 Seasonal abundance ofTyphlodromus pyriobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 9 Seasonal abundance ofTyphlodromus pyriobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 9 Seasonal abundance ofTyphlodromus pyriobserved during 2010 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 4 Seasonal abundance ofAmblyseius andersoniobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 4 Seasonal abundance ofAmblyseius andersoniobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 3 Seasonal abundance ofEotetranychus carpiniobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 3 Seasonal abundance ofEotetranychus carpiniobserved during 2010 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 6 Seasonal abundance ofKampimodromus aberransobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 6 Seasonal abundance ofKampimodromus aberransobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Figure 1 Seasonal abundance ofPanonychus ulmiobserved during 2009 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 1 Seasonal abundance ofPanonychus ulmiobserved during 2009 (months are indicated in x-axis) on different treatments in vineyards
Figure 5 Seasonal abundance ofAmblyseius andersoniobserved during 2010 in Biological control of spider mites in North-Italian vineyards using pesticide resistant predatory mites
Figure 5 Seasonal abundance ofAmblyseius andersoniobserved during 2010 (months are indicated in x-axis) on different treatments in vineyards of Farm A.
Impacts of female body size on cannibalism and juvenile abundance in a dominant arctic spider
<p>1. Body size influences an individual's physiology and the nature of its intra- and interspecific interactions. Changes in this key functional trait can therefore have important implications for populations as well. For example, among invertebrates, there is typically a positive correlation between female body size and reproductive output. Increasing body size can consequently trigger changes in population density, population structure (e.g., adult to juvenile ratio), and the strength of intraspecific competition.</p> <p>2. Body size changes have been documented in several species in the Arctic, a region that is warming rapidly. In particular, wolf spiders, one of the most abundant arctic invertebrate predators, are becoming larger and therefore more fecund. Whether these changes are affecting their populations and role within food webs is currently unclear.</p> <p>3. We investigated the population structure and feeding ecology of the dominant wolf spider species (Pardosa lapponica) at two tundra sites where adult spiders naturally differ in mean body size. Additionally, we performed a mesocosm experiment to investigate how variation in wolf spider density, which is likely to change as a function of body size, influences feeding ecology and its sensitivity to warming.</p> <p>4. We found that juvenile abundance is negatively associated with female size and that wolf spiders occupied higher trophic positions where adult females were larger. Because female body size is positively related to fecundity in P. lapponica, the unexpected finding of fewer juveniles with larger females suggests an increase in density-dependent cannibalism as a result of increased intraspecific competition for resources. Higher rates of density-dependent cannibalism are further supported by the results from our mesocosm experiment, in which individuals occupied higher trophic positions in plots with higher wolf spider densities. We observed no changes in wolf spider feeding ecology in association with short-term experimental warming.</p> <p>5. Our results suggest that body size variation in wolf spiders is associated with variation in intraspecific competition, feeding ecology, and population structure. Given the widespread distribution of wolf spiders in arctic ecosystems, body size shifts in these predators as a result of climate change could have implications for lower trophic levels and for ecosystem functioning. </p>
Dispersal ability and niche breadth influence interspecific variation in spider abundance and occupancy
<p><span>The relationship between species local abundance and their regional distribution (occupancy) is one of the most extensively recognised and investigated patterns in ecology. While exceptions exist, the generally held model is that locally abundant species also tend to be more widespread geographically. However, there is only a limited understanding of both the mechanisms driving this relationship, and their scale dependency. Here we use occupancy and abundance data for 123 species of spider from across the Canary Islands to understand how both dispersal ability and niche breadth might mediate variation among species for local abundance and occupancy. We test the predictions that (i) dispersal ability explains variation among species for both abundance and occupancy, and (ii) species with a higher degree of habitat specialisation, reflecting more limited niche breadth, will have both higher occupancy and abundance. We find no evidence within habitat patches for an effect of dispersal ability on either local abundance or site occupancy, while across all patches species with higher dispersal ability tend to occupy more sites. Species largely restricted to laurel forests have higher abundance than species with broader niche breadth, but similar occupancy. </span><span>The study revealed that dispersal ability and niche breadth were significant predictors of the abundance-occupancy relationship, highlighting the importance of both factors for understating patterns of abundance and occupancy among spider species.</span></p>
Dispersal ability and niche breadth influence interspecific variation in spider abundance and occupancy
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Impacts of female body size on cannibalism and juvenile abundance in a dominant arctic spider
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Central Arizona - Phoenix Urban LTER site, station Agricultural study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Araneae (spiders) in units of numberPerPitfallTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Araneae (spiders) measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.
Central Arizona - Phoenix Urban LTER site, station Desert study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Araneae (spiders) in units of numberPerPitfallTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Araneae (spiders) measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.
Central Arizona - Phoenix Urban LTER site, station Urban study sites at Central Arizona-Phoenix Urban LTER, study of animal abundance of Araneae (spiders) in units of numberPerPitfallTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Central Arizona - Phoenix Urban LTER (CAP) contains animal abundance of Araneae (spiders) measurements in numberPerPitfallTrap units and were aggregated to a yearly timescale.
Arachnida species (spiders) abundance: Trophic Structure: Insect Species Diversity, Abundance and Body Size
The goal of this study was to examine the populations of insects in prairies and savannas. Most of the prairies had developed after being abandoned from agriculture, but none of the savannas had been cultivated. The history of burning varied between sites. The main sampling for this study was conducted in 1992 by the lead investigators: John Haarstad, Evan Siemann, and David Tilman. Insects were sampled via sweep-net sampling, pitfalls and ant scent plates throughout the growing season in each of 49 grassland fields and savannas. In total, 89,596 individuals of 1,167 species were captured and enumerated. Body size was measured for a subset of grasshoppers collected. In 2004, John Haarstad conducted two similar studies by identifying and enumerating all insects collected in sweepnet samples taken in old fields (prairies) as part of E014 grasshopper studies and from sweepnet samples taken in savannas.
Effects of Sandplain Grassland Management on Spider Richness and Abundance on Nantucket Island
<p>These data were collected for a 2009 Master's Thesis.</p> <p>Sandplain grassland is a globally rare habitat that is found abundantly on Nantucket Island, Massachusetts. It is disturbance dependent and prescribed burning and mowing are management techniques used to impede shrub encroachment and maintain grassland. We used pitfall traps to investigate the effects of one time burning and mowing, annual mowing, and no management on spider richness and abundance in sandplain grasslands located in the Smooth Hummocks Coastal Preserve on Nantucket Island. In 2352 trap nights, we captured 1663 spiders representing 67 species. Burned treatments had significantly higher abundance because the most abundant species, Pardosa saxatilis (Lycosidae) was almost exclusively captured in burned areas. Accounting for P. saxatilis, abundance and richness were similar across all treatments. Guild structure was also very similar. In a correspondence analysis, we identified species that prefer recently managed grassland and those that prefer less recently managed grassland and conclude that maintaining several treatments in the area increases overall spider diversity. Euryopis gertschi (Theridiidae) was the third most abundant species and is an unusual component to the sandplain grassland species composition.</p> <p>File descriptions:</p> <p>allSpiderData.csv - spider counts by species and trap<br> dataDictionary.csv - Description of variable for all data<br> grassHeight.csv - grass height for transects<br> litterMass.csv - Litter mass from each transect<br> plotData.csv - location information for each plot<br> vegetationData.csv - percent cover for each transect</p>
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OpenNeuro
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