Life Sciences Commons^™

The Significance Of Micro-Prairie Reconstruction In Urban Environments, Bruno Borsari, Neal Mundahl, Malcom F. Vidrine, Marc Pastorek

The Prairie Naturalist

An aggressive urban sprawl during the last half century has not only contributed to habitat disturbance and extirpation, as well as a loss of knowledge and appreciation for biodiversity. Across the United States, prairie reconstruction has been a very effective approach for developing sustainable landscape designs in city parks and other open spaces. The purpose of this work is to focus on restoration and reconstruction of selected micro-prairies as a vehicle for enhanced place-based education and to partially remediate the consequences of global climate change and loss of pollinators. From the coastal prairies of southwestern Louisiana, to the eastern edge …

Housing Development Erodes Avian Community Structure In U.S. Protected Areas, Eric M. Wood, Anna M. Pidgeon, Volker C. Radeloff, David Helmers, Patrick D. Culbert, Nicholas S. Keuler, Curtis H. Flather

USDA Forest Service / UNL Faculty Publications

Protected areas are a cornerstone for biodiversity conservation, but they also provide amenities that attract housing development on inholdings and adjacent private lands. We explored how this development affects biodiversity within and near protected areas among six ecological regions throughout the United States. We quantified the effect of housing density within, at the boundary, and outside protected areas, and natural land cover within protected areas, on the proportional abundance and proportional richness of three avian guilds within protected areas. We developed three guilds from the North American Breeding Bird Survey, which included Species of Greatest Conservation Need, land cover affiliates …

Performance Of Species Richness Estimators Across Assemblage Types And Survey Parameters, Gordon C. Reese, Kenneth R. Wilson, Curtis H. Flather

USDA Forest Service / UNL Faculty Publications

Aim A raw count of the species encountered across surveys usually underestimates species richness. Statistical estimators are often less biased. Nonparametric estimators of species richness are widely considered the least biased, but no particular estimator has consistently performed best. This is partly a function of estimators responding differently to assemblage-level factors and survey design parameters. Our objective was to evaluate the performance of raw counts and nonparametric estimators of species richness across various assemblages and with different survey designs.

Location We used both simulated and published field data.

Methods We evaluated the bias, precision and accuracy of raw counts and …