Fine-scale selection of nesting habitat in Little Crake Porzana parva and Water Rail Rallus aquaticus in small ponds

Capsule The most important factor determining fine-scale selection of nesting habitat in Little Crake and Water Rail is water depth. Aims To evaluate factors affecting nest-site selection and relative inter-specific differences in two poorly studied Rallidae species, the Little Crake and Water Rail. Methods Habitat variables describing water depth, water cover, as well as vegetation type and structure were measured within 3-m radius plots around birds' nests and random points, located in small ponds scattered within a largely cultivated landscape in north-eastern Poland. Descriptive statistics and multi-adaptive regression splines were used to describe nesting habitat and to model nest-site selection in the study species. Results Little Crake nested in sites with deeper water and lower percentage of vegetation cover than Water Rail. Both species chose nest sites according to water depth (probability of Little Crake nests occurrence was the highest around 40 cm and of Water Rail below 12 cm) and vegetation stage in which nests were build (old vegetation was preferred). Little Crake nests were also associated with vegetation height lower than 1.5 m and high percentage cover of old vegetation within a 3-m radius around nests, whereas Water Rail preferred Carex spp. and Juncus effusus for nesting. Conclusion For both species, water depth was the main driver of nest-site selection, followed by vegetation traits. Water depth was also the variable most important in discriminating between the nesting sites of the two species. The different patterns of habitat selection showed by the two species are likely to be due to different morphology and nest characteristics, and are probably driven by the need to maximize both nest and adult safety.

[1]  S. C. Weeker.  HABITAT SELECTION. , 1964, Scientific American.

[2]  R. Ricklefs.  An analysis of nesting mortality in birds , 1969 .

[3]  Kai Curry-Lindahi,et al.  Handbuch der Vogel Mitteleuropas , 1970 .

[4]  D. Boag,et al.  HOW VEGETATIVE COVER PROTECTS DUCK NESTS FROM EGG-EATING BIRDS1 , 1972 .

[5]  Kurt M. Bauer,et al.  Handbuch der Vogel Mitteleuropas. Vol. 4 , 1972 .

[6]  B. W. Schranck.  WATERFOWL NEST COVER AND SOME PREDATION RELATIONSHIPS , 1972 .

[7]  H. Southern,et al.  Handbook of the Birds of Europe, the Middle East and North Africa; the Birds of the Western Palearctic , 1978 .

[8]  S. Cramp.  Studies of less familiar birds , 1977 .

[9]  P B Taylor,et al.  Little crake Porzana parva at Ndola, Zambia , 1980 .

[10]  J. Burger.  Habitat selection in temperate marsh-nesting birds. , 1985 .

[11]  A. Møller.  Nest site selection across field-woodland ecotones: the effect of nest predation , 1989 .

[12]  J. Grace.  Effects of water depth on Typha latifolia and Typha domingensis. , 1989 .

[13]  James F. Wittenberger,et al.  Spatial and Temporal Scales in Habitat Selection , 1991, The American Naturalist.

[14]  J. Freidman,et al.  Multivariate adaptive regression splines , 1991 .

[15]  A. Dombrowski,et al.  Wykorzystanie stymulacji magnetofonowej w ocenie liczebnosci legowych populacji perkozka [Tachybaptus ruficollis], wodnika [Rallus aquaticus], zielonki [Porzana parva] i kokoszki wodnej [Gallinula chloropus] , 1993 .

[16]  T. E. Martin.  Nest Predation and Nest SitesNew perspectives on old patterns , 1993 .

[17]  B. Jobin,et al.  Factors affecting predation on artificial nests in marshes , 1997 .

[18]  B. Taylor,et al.  Rails: A Guide to the Rails, Crakes, Gallinules and Coots of the World , 1998 .

[19]  M. Willson,et al.  NEST PREDATION AND AVIAN SPECIES DIVERSITY IN NORTHWESTERN FOREST UNDERSTORY , 1998 .

[20]  V. Saab.  IMPORTANCE OF SPATIAL SCALE TO HABITAT USE BY BREEDING BIRDS IN RIPARIAN FORESTS: A HIERARCHICAL ANALYSIS , 1999 .

[21]  D. Steadman.  Rails: A Guide to the Rails, Crakes, Gallinules and Coots of the World , 2000 .

[22]  R. J. Robertson,et al.  TERRITORY AND NEST-SITE SELECTION OF CERULEAN WARBLERS IN EASTERN ONTARIO , 2001 .

[23]  S. Ormerod,et al.  Habitat preferences of breeding Water Rail Rallus aquaticus , 2002 .

[24]  J. Liebezeit,et al.  NEST PREDATORS, NEST-SITE SELECTION, AND NESTING SUCCESS OF THE DUSKY FLYCATCHER IN A MANAGED PONDEROSA PINE FOREST , 2002 .

[25]  J. A. Martínez,et al.  Predictive models of habitat preferences for the Eurasian eagle owl Bubo bubo: A multiscale approach , 2003 .

[26]  A. Magurran,et al.  Measuring Biological Diversity , 2004 .

[27]  M. Brambilla,et al.  Water Rail Rallus aquaticus breeding density and habitat preferences in northern Italy , 2004 .

[28]  G. H. Kroon.  A Comparison of Two European Breeding Habitats of the Water Rail Rallus aquaticus , 2004 .

[29]  J. O'keeffe,et al.  Measuring Biological Diversity , 2004 .

[30]  T. Hastie,et al.  Using multivariate adaptive regression splines to predict the distributions of New Zealand ’ s freshwater diadromous fish , 2005 .

[31]  Dean P. Anderson,et al.  SCALE-DEPENDENT SUMMER RESOURCE SELECTION BY REINTRODUCED ELK IN WISCONSIN, USA , 2005 .

[32]  M. Polak.  Temporal Pattern of Vocal Activity of the Water Rail Rallus aquaticus and the Little Crake Porzana parva in the Breeding Season , 2005 .

[33]  G. Schiermann.  Zur Brutbiologie des Kleinen Sumpfhuhns,Porzana parva , 1929, Journal für Ornithologie.

[34]  Daniel S. Harvey.  A test of the hierarchical model of habitat selection using eastern massasauga rattlesnakes (Sistrurus c. catenatus) , 2006 .

[35]  Jeffrey P Hoover.  Water depth influences nest predation for a wetland-dependent bird in fragmented bottomland forests , 2006 .

[36]  Jane Elith,et al.  Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines , 2007 .

[37]  Multiscale Nest-Site Selection by Black-Capped Vireos , 2007 .

[38]  E. Fleishman,et al.  Use of guilds for modelling avian responses to vegetation in the Intermountain West (USA) , 2008 .

[39]  Stefan Heinänen,et al.  Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species , 2009 .

[40]  M. Brambilla,et al.  Cost-effective estimates of water rail "Rallus aquaticus" breeding population size , 2009 .

[41]  J. A. Schaefer,et al.  Habitat Selection at Multiple Scales , 2009 .

[42]  Dean L. Mitchell,et al.  Factors affecting nest-site selection and nest success of translocated greater sage grouse , 2009 .

[43]  J. D. Hoyo,et al.  Handbook of the Birds of the World , 2010 .

[44]  Ashutosh Kumar Singh,et al.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2010 .

[45]  M. Brambilla,et al.  The effects of habitat and spatial features of wetland fragments on the abundance of two rallid species with different degrees of habitat specialization , 2012 .

[46]  Matthew J. Smith,et al.  Protected areas network is not adequate to protect a critically endangered East Africa Chelonian: Modelling distribution of pancake tortoise, Malacochersus tornieri under current and future climates , 2013, bioRxiv.

[47]  M. Brambilla,et al.  Habitat preferences of the threatened Black-eared Wheatear Oenanthe hispanica in southern Italy , 2013 .

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

[49]  M. Brambilla,et al.  A century of chasing the ice: delayed colonisation of ice‐free sites by ground beetles along glacier forelands in the Alps , 2014 .