Agricultural Landscape Composition Linked with Acoustic Measures of Avian Diversity
| dc.contributor.author | Dixon, Adam P. | |
| dc.contributor.author | Baker, Matthew | |
| dc.contributor.author | Ellis, Erle C. | |
| dc.date.accessioned | 2020-06-10T15:38:19Z | |
| dc.date.available | 2020-06-10T15:38:19Z | |
| dc.date.issued | 2020-05-10 | |
| dc.description.abstract | Measuring, monitoring, and managing biodiversity across agricultural regions depends on methods that can combine high-resolution mapping of landscape patterns with local biodiversity observations. This study explores the potential to monitor biodiversity in agricultural landscapes by linking high-resolution remote sensing with passive acoustic monitoring. Land cover maps produced using a small unmanned aerial system (UAS) and PlanetScope (PS) satellite imagery were used to investigate relationships between landscape patterns and an acoustically derived biodiversity index (vocalizing bird species richness) across 12 agricultural sample locations equipped with acoustic recorders in Iowa, USA during the 2018 growing season. Statistical assessment revealed a significant direct association between vocalizing bird richness and percent noncrop vegetation cover. High spatial resolution (1 m) UAS mapping produced stronger statistical associations than PS-based maps (3 m) for landscape composition metrics. Landscape configuration metrics (Shannon’s diversity index, contagion, perimeter-area-ratio, and circumscribing circle index) were either cross-correlated with composition metrics or unusable owing to complete landscape homogeneity in some agricultural landscape samples. This study shows that high resolution mapping of noncrop vegetation cover can be linked with acoustic monitoring of unique bird vocalizations to provide a useful indicator of biodiversity in agricultural landscapes. | en_US |
| dc.description.sponsorship | We would like to thank Mark Honeyman, Lyle Rossiter, Ken Pecinovsky, Logan Wallace, and Dallas Maxwell of Iowa State University Research and Demonstration Farms and James Baker and Scott Moats of The Nature Conservancy in Iowa for facilitating research. We thank the anonymous reviewers for quality feedback. We acknowledge the Planet Education and Research Program for no-cost access to imagery used in this study. We also thank Ciara Hovis and Dorothy Borowy for providing early reviews of the manuscript. This research was partially funded by the National Science Foundation, Ecosynth: An Advanced Open-Source 3D Toolkit for Forest Ecology, Award number 1147089. | en_US |
| dc.description.uri | https://www.mdpi.com/2073-445X/9/5/145 | en_US |
| dc.format.extent | 18 pages | en_US |
| dc.genre | journal articles | en_US |
| dc.identifier | doi:10.13016/m22znq-nruk | |
| dc.identifier.citation | Dixon, Adam P.; Baker, Matthew E.; Ellis, Erle C. 2020. "Agricultural Landscape Composition Linked with Acoustic Measures of Avian Diversity." Land 9, no. 5: 145, https://doi.org/10.3390/land9050145 | en_US |
| dc.identifier.uri | https://doi.org/10.3390/land9050145 | |
| dc.identifier.uri | http://hdl.handle.net/11603/18855 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | MDPI | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Geography and Environmental Systems Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.rights | Attribution 4.0 International | * |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.title | Agricultural Landscape Composition Linked with Acoustic Measures of Avian Diversity | en_US |
| dc.type | Text | en_US |