Fragmentation effects on woodlark habitat selection depend on habitat amount and spatial scale

2020 ◽  
Author(s):  
L. Bosco ◽  
S. A. Cushman ◽  
H. Y. Wan ◽  
K. A. Zeller ◽  
R. Arlettaz ◽  
...  
1997 ◽  
pp. 368-385 ◽  
Author(s):  
John A. Bissonette ◽  
Daniel J. Harrison ◽  
Christina D. Hargis ◽  
Theodore G. Chapin

Ecography ◽  
2018 ◽  
Vol 42 (1) ◽  
pp. 187-200 ◽  
Author(s):  
Adrian Zwolicki ◽  
Rafał Pudełko ◽  
Katarzyna Moskal ◽  
Joanna Świderska ◽  
Szymon Saath ◽  
...  

2008 ◽  
Vol 86 (12) ◽  
pp. 1337-1345 ◽  
Author(s):  
James A. Schaefer ◽  
Nicolas Morellet ◽  
Dominique Pépin ◽  
Hélène Verheyden

Accounting for spatial scale is essential for understanding habitat selection, but few studies have used spatial statistics to reveal the characteristic scale at which organisms respond to their environment. We studied habitat selection by GPS-tracked red deer ( Cervus elaphus L., 1758) in the Pyrenees Mountains, France, by applying a geostatistical model that compares autocorrelation of a resource between used and available sites to uncover the scale at which animals assess habitat. Using an artificial landscape, we demonstrated that the model can handle discrete habitat classes. Based on conventional hierarchical analysis, deer selected for open habitat, especially meadow, and avoided coniferous forest, more strongly at the coarse level of the home range than GPS locations. Home ranges exhibited generally lower autocorrelation in elevation and meadow habitat than random locations within the population range, indicative of preference for high habitat heterogeneity. Mean maximum discrepancy in autocorrelation, which was more pronounced at the level of the home range than GPS locations, occurred at 830 m for meadow habitat and at 1511 m for elevation, suggesting that red deer responded to their environment at this scale. Our study demonstrates how spatial statistics can serve as an instructive complement to conventional approaches to habitat selection.


2011 ◽  
Vol 5 (2) ◽  
pp. 118-126 ◽  
Author(s):  
ÁDÁM KŐRÖSI ◽  
NOÉMI ÖRVÖSSY ◽  
PÉTER BATÁRY ◽  
ANDREA HARNOS ◽  
LÁSZLÓ PEREGOVITS

2015 ◽  
Vol 11 (12) ◽  
pp. 20150593 ◽  
Author(s):  
J. Morgan Brown ◽  
Philip D. Taylor

Using a broad-scale automated telemetry array, we explored post-fledging movements of blackpoll warblers breeding in Atlantic Canada. We sought to determine the full spatial scale of post-fledging dispersal, to assess support for three hypotheses for regional-scale post-fledging movement, and to determine whether learning influenced movement during this period. We demonstrated that both young and adults moved over distances more than 200 km prior to initiating migration. Adults moved southwest, crossing the Gulf of Maine (GOM), consistent with the commencement of migration hypothesis. Hatch-year birds exhibited less directional movements constrained geographically by the GOM. Their movements were most consistent with exploration hypotheses—that young birds develop a regional-scale map to aid in habitat selection, natal dispersal and subsequent migrations.


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