A Survey of Anuran Breeding Activity in the Lower Coastal Plain of South Carolina Using the North American Amphibian Monitoring Program

2012 S.C. Water Resources Conference - Exploring Opportunities for Collaborative Water Research, Policy and Managemen

Citizen science reveals widespread negative effects of roads on amphibian distributions

Landscape structure is important for shaping the abundance and distribution of amphibians, but prior studies of landscape effects have been species or ecosystem-specific. Using a large-scale, citizen science-generated database, we examined the effects of habitat composition, road disturbance, and habitat split (i.e. the isolation of wetland from forest by intervening land use) on the distribution and richness of frogs and toads in the eastern and central United States. Undergraduates from nine biology and environmental science courses collated occupancy data and characterized landscape structure at 1617 sampling locations from the North American Amphibian Monitoring Program. Our analysis revealed that anuran species richness and individual species distributions were consistently constrained by both road density and traffic volume. In contrast, developed land around wetlands had small, or even positive effects on anuran species richness and distributions after controlling for road effects. Effects of upland habitat composition varied among species, and habitat split had only weak effects on species richness or individual species distributions. Mechanisms underlying road effects on amphibians involve direct mortality, behavioral barriers to movement, and reduction in the quality of roadside habitats. Our results suggest that the negative effects of roads on amphibians occur across broad geographic regions, affecting even common species, and they underscore the importance of developing effective strategies to mitigate the impacts of roads on amphibian populations

Regional and scale-specific effects of land use on amphibian diversity [poster]

Background/Question/Methods Habitat loss and degradation influence amphibian distributions and are important drivers of population declines. Our previous research demonstrated that road disturbance, development and wetland area consistently influence amphibian richness across regions of the U.S. Here, we examined the relative importance of these factors in different regions and at multiple spatial scales. Understanding the scales at which habitat disturbance may be affecting amphibian distributions is important for conservation planning. Specifically, we asked: 1) Over what spatial scales do distinct landscape features affect amphibian richness? and 2) Do road types (non-rural and rural) have similar effects on amphibian richness? This is the second year of a collaborative, nationwide project involving 11 U.S. colleges integrated within undergraduate biology curricula. We summarized North American Amphibian Monitoring Program data in 13 Eastern and Central U.S states and used geographic information systems to extract landscape data for 471 survey locations. We developed models to quantify the influence of landscape variables on amphibian species richness and site occupancy across five concentric buffers ranging from 300m to 10,000m. Results/Conclusions Across spatial scales, development, road density and agriculture were the best predictors of amphibian richness and site occupancy by individual species. Across regions, we found that scale did not exert a large influence on how landscape features influenced amphibian richness as effects were largely comparable across buffers. However, development and percent impervious surface had stronger influence on richness at smaller spatial scales. Richness was lower at survey locations with higher densities of non-rural and rural roads, and non-rural road density had a larger negative effect at smaller scales. Within regions, landscape features driving patterns of species richness varied. The scales at which these factors were associated with richness were highly variable within regions, suggesting the scale effects may be region specific. Our project demonstrates that networks of undergraduate students can collaborate to compile and analyze large ecological data sets, while engaging students in authentic and inquiry-based learning in landscape-scale ecology

Identification of Bacterial Isolates Originating from the Human Hand

The human body provides habitat for a diversity of bacterial species that are part of the normal human microbiota. Identification of various members of the normal microbiota to the species level requires a combination of biological staining procedures, biochemical tests, and molecular techniques. In this experiment, ten bacterial isolates originating from the hands of nine students and one faculty member at USC Salkehatchie were identified. Classification to a general taxonomic group was accomplished with standard staining and biochemical tests. Sequences for the 16S ribosomal RNA section of DNA for each isolate were analyzed with BLAST to generate a list of potential species identifications. Species associated with confidence levels greater than 98% were considered positive identifications. The samples were then analyzed using Matrix Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS). Five isolates were identified as Bacillus megaterium (2 isolates), Bacillus thuringiensis, Paenibacillus alvei, and Micrococcus luteus. Four isolates were identified as Bacillus and Brevibacterium species. One isolate had conflicting identifications based on molecular and MALDI-TOF MS and is only listed as a Bacillus species. In addition to contributing to the study of the human normal microbiota, the diagnostic properties and identities of each isolate will be incorporated into a laboratory resource used by microbiology students at USC Salkehatchie

Land use data and anuran species richness for North American Amphibian Monitoring Program survey sites

Data from 587 NAAMP survey sites. NAAMP survey locations are organized as "stops" within "routes," each of which has a unique SiteID. Land use variables were measured within buffers of 300m, 600m, 1000m, 5km, and 10km. Variables include "wet_prop" (proportion of area covered by wetland), "imperv" (proportion of area covered by impervious surface), "PROP_FOR" (proportion of area covered by forest), "PROP_DEV" (proportion of area covered by developed land uses, and "PROP_AGR" (proportion of area covered by row crop agriculture. Road-related variables are given as linear lengths (meters) within each buffer. Variables are T_ROAD_LEN (total road length), P_ROAD_LEN (primary (divided) roads), S_ROAD_LEN (secondary roads), O_ROAD_LEN (other roads, i.e. not P or S), and PS_ROAD_LEN (the sum of primary and secondary road lengths). Data also show the number of NAAMP surveys of each stop (Num.Surv), the number of years covered (Num.Years), mean car count during surveys (Car.Count), number of surveys with ambient noise (Noise.Num), and proportion of surveys that noted noise (NOISE_LEV = Noise.Num/Num.Surv). Amphibian presence/absence over all surveys are given for the species ANFO, HYCI, HYSQ, LICA, LICL, LIPA, LIPI, LISP, LISY, HYCV, PSTR (full scientific names are provided in the associated paper). NAs indicate sites outside the known range of each species. Richness is shown as the sum of all species detected at each stop, and NPP represents estimated Net Primary Productivity at that set (which provided a geographic expectation of anuran species richness)

Effects of Road and Land Use on Frog Distributions Across Spatial Scales and Regions in the Eastern and Central United States

Understanding the scales over which land use affects animal populations is critical for conservation planning, and it can provide information about the mechanisms that underlie correlations between species distributions and land use. We used a citizen science database of anuran surveys to examine the relationship between road density, land use and the distribution of frogs and toads across spatial scales and regions of the United States

Data from: Effects of roads and land use on frog distributions across spatial scales and regions in the eastern and central United States

Aim: Understanding the scales over which land use affects animal populations is critical for conservation planning, and it can provide information about the mechanisms that underlie correlations between species distributions and land use. We used a citizen-science database of anuran surveys to examine the relationship between road density, land use, and the distribution of frogs and toads across spatial scales and regions of the United States. Location: Eastern and Central United States Methods: We compiled data on anuran occupancy collected from 1999-2013 across 13 states in the North American Amphibian Monitoring Program, a citizen science survey of calling frogs. These data were indexed to measures of land use within buffers ranging from 300 m to 10 km. Results: The negative effects of road density and development on anuran richness were strongest at the smallest scales (300 – 1000 m), and this pattern was consistent across regions. In contrast, the relationships of anuran richness to agriculture and forest cover were similar across local scales but varied among regions. Richness had a negative relationship with agriculture/ forest loss in the Midwest but a positive relationship with agriculture in the Northeast. Anuran richness was more closely related to primary/secondary road density than to rural road density, and the negative effects of larger roads increased at smaller scales. Individual species differed in the scales over which roads and development affected their distributions, but these differences were not closely related to either body size or movement ability. Main conclusions: This study further refines our understanding of the relationship between roads and amphibian populations and highlights the need for research into the specific mechanisms by which roads affect amphibians. Additionally, we find that relationships between land use and species richness can differ substantially across regions, demonstrating that one should use caution in generalizing from one region to another, even when species composition is similar