2021
DOI: 10.1111/rec.13331
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Challenging our understanding of western Yellow‐billed Cuckoo habitat needs and accepted management practices

Abstract: Riparian restoration in the southwestern United States frequently involves planting cottonwood (Populus spp.) and willow (Salix spp.). In the absence of flooding and gap-forming disturbance, planted forests often senesce without further young tree recruitment. This has largely been the case in California riparian systems that historically supported state-endangered western Yellow-billed Cuckoo (Coccyzus americanus; Cuckoo). A decline in Cuckoo population numbers in the past 30 years has been associated with fo… Show more

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Cited by 4 publications
(22 citation statements)
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“…This Neotropical migratory bird breeds in areas with multi-layered riparian trees [32] and needs patches of habitat with trees of different heights and ages, which are often produced from episodic floods [33]. In the absence of flooding, native riparian forests have matured without replacing tree recruitment, further degrading habitat for the cuckoo [34]. The tanager and cuckoo are just two examples of birds experiencing declines from loss of habitat.…”
Section: Introductionmentioning
confidence: 99%
“…This Neotropical migratory bird breeds in areas with multi-layered riparian trees [32] and needs patches of habitat with trees of different heights and ages, which are often produced from episodic floods [33]. In the absence of flooding, native riparian forests have matured without replacing tree recruitment, further degrading habitat for the cuckoo [34]. The tanager and cuckoo are just two examples of birds experiencing declines from loss of habitat.…”
Section: Introductionmentioning
confidence: 99%
“…Although Cuckoos used restoration sites for foraging in KRP (Wohner et al 2020), only one active nest was found in the 10 restoration plots in 11 years. Restoration sites were ecologically different than natural areas (Wohner et al 2020) so we did not include restoration availability plots. We randomly removed some of the availability plots to take into account that the number of nests/site was unbalanced such that the ratio of use to availability plots was the maximum (Northrup et al 2013; ≤1:3) for each site.…”
Section: Methodsmentioning
confidence: 99%
“…We first used lowest scoring AIC c to determine which combination of nested random effects was the most informative to include as hierarchical random effects (Bolker et al 2009). These included three levels; the five sites (Patterson, South, Tanager, Riverbottom, and Turtle) or estimated territories via spotmapping (Wohner et al 2020) within sites ( n = 22), nested within forest type (natural regeneration vs. mixed‐age forest) or region (SFWA, including LIDDZ), KRP East, KRP West). Once a suitable random effects structure was identified, our model selection process was to determine the best fitting variables among similar variables in classification groups (Table S1) with the lowest AIC c score within ΔAIC c < 2.…”
Section: Methodsmentioning
confidence: 99%
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