Radar analysis of fall bird migration stopover sites in the northeastern U.S.

ABSTRACT The national network of weather surveillance radars (WSR-88D) detects flying birds and is a useful remote-sensing tool for ornithological study. We used data collected during fall 2008 and 2009 by 16 WSR-88D radars in the northeastern U.S. to quantify the spatial distribution of landbirds during migratory stopover. We geo-referenced estimates based on radar reflectivity, of the density of migrants aloft at their abrupt evening exodus from daytime stopover sites, to the approximate locations from which they emerged. We classified bird stopover use by the magnitude and variation of radar reflectivity across nights; areas were considered “important” stopover sites for conservation if bird density was consistently high. We developed statistical models that predict potentially important stopover sites across the region, based on land cover, ground elevation, and geographic location. Large areas of regionally important stopover sites were located along the coastlines of Long Island Sound, throughout the Delmarva Peninsula, in areas surrounding Baltimore and Washington, along the western edge of the Adirondack Mountains, and within the Appalachian Mountains of southwestern Virginia and West Virginia. Locally important stopover sites generally were associated with deciduous forests embedded within landscapes dominated by developed or agricultural lands, or near the shores of major water bodies. Preserving or enhancing patches of natural habitat, particularly deciduous forests, in developed or agricultural landscapes and along major coastlines could be a priority for conservation plans addressing the stopover requirements of migratory landbirds in the northeastern U.S. Our maps of important stopover sites can be used to focus conservation efforts and can serve as a sampling frame for fieldwork to validate radar observations or for ecological studies of landbirds on migratory stopover.

[1]  Jeffrey J. Buler,et al.  Migrant–habitat relationships during stopover along an ecological barrier: extrinsic constraints and conservation implications , 2011, Journal of Ornithology.

[2]  Travis M. Smith,et al.  The Warning Decision Support System–Integrated Information , 2007 .

[3]  David N. Bonter,et al.  Characteristics of Important Stopover Locations for Migrating Birds: Remote Sensing with Radar in the Great Lakes Basin , 2009, Conservation biology : the journal of the Society for Conservation Biology.

[4]  Richard T. Holmes,et al.  Variation in survivorship of a migratory songbird throughout its annual cycle , 2002 .

[5]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[6]  S. Matthews,et al.  LANDBIRD USE OF RIPARIAN AND UPLAND FOREST STOPOVER HABITATS IN AN URBAN LANDSCAPE , 2005 .

[7]  K. A. Browning,et al.  The Determination of Kinematic Properties of a Wind Field Using Doppler Radar , 1968 .

[8]  J. Karr,et al.  Patch utilization by migrating birds: resource oriented? , 1986 .

[9]  Jeffrey J. Buler,et al.  Mapping Wintering Waterfowl Distributions Using Weather Surveillance Radar , 2012, PloS one.

[10]  J. Kelly,et al.  Influence of Summer Biogeography on Wood Warbler Stopover Abundance , 1999 .

[11]  Lopaka Lee,et al.  Statistical analysis of water-quality data containing multiple detection limits: S-language software for regression on order statistics , 2005, Comput. Geosci..

[12]  Thomas Alerstam,et al.  Convergent patterns of long-distance nocturnal migration in noctuid moths and passerine birds , 2011, Proceedings of the Royal Society B: Biological Sciences.

[13]  Nils Warnock,et al.  Conserving migratory land birds in the new world: do we know enough? , 2010, Ecological applications : a publication of the Ecological Society of America.

[14]  H. Akaike INFORMATION THEORY AS AN EXTENSION OF THE MAXIMUM LIKELIHOOD , 1973 .

[15]  David Bebbington,et al.  The Sensitivity of Single Polarization Weather Radar Beam Blockage Correction to Variability in the Vertical Refractivity Gradient , 2003 .

[16]  Jeffrey J. Buler,et al.  A multi-scale examination of stopover habitat use by birds. , 2007, Ecology.

[17]  Ronald P. Larkin,et al.  RADAR OBSERVATIONS OF BIRD MIGRATION OVER THE GREAT LAKES , 2003 .

[18]  Mark S. Woodrey,et al.  CONSERVING STOPOVER SITES FOR FOREST-DWELLING MIGRATORY LANDBIRDS , 2005 .

[19]  R. L. Hutto On the importance of en route periods to the conservation of migratory landbirds , 2000 .

[20]  S. Choi,et al.  Reply , 2010, Journal of neurogastroenterology and motility.

[21]  D. Petit Habitat use by landbirds along nearctic-neotropical migration routes : Implications for conservation of stopover habitats , 2000 .

[22]  J. F. Parnell Habitat Relations of the Parulidae during Spring Migration , 1969 .

[23]  F. Moore Stopover ecology of nearctic-neotropical landbird migrants : habitat relations and conservation implications , 2001 .

[24]  Sidney A. Gauthreaux,et al.  RADAR ORNITHOLOGY AND BIOLOGICAL CONSERVATION , 2003 .

[25]  Ronald P. Larkin,et al.  Introduction to the WSR-88D (NEXRAD) for ornithological research , 2005 .

[26]  C. S. Robbins,et al.  Population declines in North American birds that migrate to the neotropics. , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[27]  Jeffrey J. Buler,et al.  Understanding the stopover of migratory birds: a scale dependent approach , 2005 .

[28]  Kenneth M. Johnson,et al.  Rural land-use trends in the conterminous United States, 1950-2000 , 2005 .

[29]  J. Wiens Spatial Scaling in Ecology , 1989 .

[30]  R. Tankersley,et al.  Modeling the Geography of Migratory Pathways and Stopover Habitats for Neotropical Migratory Birds , 2003 .

[31]  Svetlana Bachmann,et al.  Spectral Density of Polarimetric Variables Separating Biological Scatterers in the VAD Display , 2007 .

[32]  M. Brittingham,et al.  STOPOVER HABITATS OF LANDBIRDS DURING FALL: USE OF EDGE-DOMINATED AND EARLY-SUCCESSIONAL FORESTS , 2004 .

[33]  A. Hedenström,et al.  Optimum fuel loads in migratory birds: distinguishing between time and energy minimization , 1997, Journal of theoretical biology.

[34]  Steven C. Latta,et al.  Recent advances in understanding migration systems of New World land birds , 2010 .

[35]  Sidney A. Gauthreaux,et al.  Displays of Bird Movements on the WSR-88D: Patterns and Quantification* , 1998 .

[36]  Suming Jin,et al.  Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information , 2015 .

[37]  Calvin A. Farris,et al.  Incorporating spatial non-stationarity of regression coefficients into predictive vegetation models , 2007, Landscape Ecology.

[38]  Jeffrey J. Buler,et al.  Management and research applications of long-range surveillance radar data for birds, bats, and flying insects , 2008 .

[39]  Ian Newton,et al.  Can conditions experienced during migration limit the population levels of birds? , 2006, Journal of Ornithology.

[40]  Jeffrey J. Buler,et al.  Quantifying Bird Density During Migratory Stopover Using Weather Surveillance Radar , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[41]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[42]  Ronald P. Larkin,et al.  Flight speeds observed with radar, a correction: slow “birds” are insects , 1991, Behavioral Ecology and Sociobiology.

[43]  Timothy D. Crum,et al.  The WSR-88D and the WSR-88D Operational Support Facility , 1993 .

[44]  Christopher A. Barnes,et al.  Completion of the 2006 National Land Cover Database for the conterminous United States. , 2011 .

[45]  J. Faaborg,et al.  Habitat fragmentation in the temperate zone , 1999 .

[46]  E. Strobl Vegetation characterization for the Lake Ontario stopover project , 2010 .

[47]  J. Faaborg Partners in Flight North American Landbird Conservation Plan , 2005 .

[48]  T. Alerstam Bird Migration Speed , 2003 .

[49]  Jennifer A. Miller,et al.  Spatial nonstationarity and the scale of species–environment relationships in the Mojave Desert, California, USA , 2011, Int. J. Geogr. Inf. Sci..