Carry-over effects and habitat quality in migratory populations
By D. Ryan Norris. 2005
289 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/0f94bc376a42f90b634f4b657bb1ab797330af53
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Peter P. Marra
- D. Ryan Norris
- Francisco Pulido
- Matthew D. Johnson
- S. Bearhop
- Richard T. Holmes
- J. S. Sedinger
- Colin E. Studds
In Global and Planetary Change
- Francisco Pulido
- R. Alisauskas
- J. S. Sedinger
- D. Margaritoulis
- S. Bearhop
- Judith A. Zbinden
- Richard T. Holmes
- Matthew D. Johnson
Citations in the corpus
- Ten years tracking the migrations of small landbirds: Lessons learned in the golden age of bio-logging (2018, background): “Seasonal Interactions How events and processes in one season affect fitness in subsequent seasons has been an expanding area of research in the past 10 yr (Norris 2005, Harrison et al. 2011).”
- Advancing the Science and Practice of Fish Kill Investigations (2011, background): “Carry-over effects are just beginning to be understood in an ecological context (Norris, 2005), with little research on understanding the extent to which carry-over effects occur in fish.”
- MEASURING HABITAT QUALITY: A REVIEW (2007, background): “This approach has the advantage of being easily measured for some systems (e.g., newly arriving and singing males), and arrival date can potentially reveal information relevant to the previous phase of the annual cycle (Gill et al. 2001, Norris 2005).”
- Biological carryover effects: linking common concepts and mechanisms in ecology and evolution (2014, unknown): “1), primarily through mathematical modeling studies (e.g., Norris 2005, Runge and Marra 2005, Norris and Taylor 2006) and empirical research on birds (e.g., Myers 1981, Marra et al. 1998, Gill et al. 2001, Norris et al. 2004, Inger et al. 2010, Legagneux et al. 2011, Sedinger et al. 2011).”
- SEASONAL INTERACTIONS, HABITAT QUALITY, AND POPULATION DYNAMICS IN MIGRATORY BIRDS (2007, background): “The effects on individuals are nonlethal; individuals survive to the following season but their probability of subsequent successful reproduction or survival is influenced by an event (or events) in the previous season (Norris 2005, Runge and Marra 2005).”
- Migratory dichotomy and associated phenotypic variation in marine turtles revealed by satellite tracking and stable isotope analysis (2011, background): “In particular, how processes in dis- tinct habitats influence each other through so-called carry-over effects (Marra et al. 1998, Bearhop et al. 2005, Norris 2005) is crucial in grasping the ecology, demography, life history and conservation needs of populations (Webster et al. 2002, Wilcove &…”
- Cross-seasonal effects and the dynamics of waterfowl populations (2014, methodology): “We largely subscribe to the definitions of CSEs developed by Norris (2005) and Harrison et al. (2011).”
- Continental-scale decreases in shorebird populations in Australia (2016, background): “Indeed, recent studies have highlighted the potential effect of loss of nonbreeding habitat on migratory bird populations (Norris et al. 2004; Norris 2005; Alves et al. 2013).”
- Phenotypic changes in spring arrival: evolution, phenotypic plasticity, effects of weather and condition (2007, background): “…wintering in good habitats are in better condition, leave the wintering sites, and arrive at the breeding grounds before birds wintering in suboptimal habitats (Marra & Holmes 2001, Bearhop et al. 2004, Norris et al. 2004, Norris 2005, Saino et al. 2004a,b, 2007, Studds & Marra 2005, 2007).”
- Understanding population change in migratory songbirds: long-term and experimental studies of Neotropical migrants in breeding and wintering areas (2007, background): “Such interseasonal effects carrying over from one season to the next have just begun to be investigated (Norris 2005), and will require more intensive study and new methods of tracking individuals over the course of the annual cycle.”