2011
DOI: 10.1111/j.1365-2028.2011.01273.x
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The role of farm structure on bird assemblages around a Kenyan tropical rainforest

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Cited by 22 publications
(13 citation statements)
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“…One approach is to understand how functional groups, such as diet guilds, respond to land management (Otieno et al. ) and how these shifts in diet guilds or individual species impact ecosystem service provisioning, but there are limitations to broad classification approaches. For example, insectivorous birds can increase crop yields through consumption of pest insects (Karp et al.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…One approach is to understand how functional groups, such as diet guilds, respond to land management (Otieno et al. ) and how these shifts in diet guilds or individual species impact ecosystem service provisioning, but there are limitations to broad classification approaches. For example, insectivorous birds can increase crop yields through consumption of pest insects (Karp et al.…”
Section: Discussionmentioning
confidence: 99%
“…Understanding net effects of birds in agroecosystems is crucial for developing and promoting management practices to create win-win scenarios for biodiversity and farmers (Pejchar et al 2018). One approach is to understand how functional groups, such as diet guilds, respond to land management (Otieno et al 2011) and how these shifts in diet guilds or individual species impact ecosystem service provisioning, but there are limitations to broad classification approaches. For example, insectivorous birds can increase crop yields through consumption of pest insects (Karp et al 2013, Garfinkel and Johnson 2015, Kross et al 2016) but are intraguild predators that have also been found to negatively impact crop yields through consumption of arthropod natural enemies (Martin et al 2013).…”
Section: Ecosystem Service and Conservation Implicationsmentioning
confidence: 99%
“…, but see Otieno et al . ), we tested whether or not the estimates of community‐wide densities obtained from DISTANCE were consistent with the estimates of bird density without applying a detection function. We found that the differences in bird densities between habitats were qualitatively the same irrespective of the method, i.e., with fixed radii of 20 m, 50 m and with the respective detection function.…”
Section: Methodsmentioning
confidence: 99%
“…Given our data set, it was not feasible to fit individual detection functions for every single species because species diversity was very high and many species were rare. As DISTANCE has typically been used to assess the density of individual species (Buckland et al 2001, but see Otieno et al 2011), we tested whether or not the estimates of community-wide densities obtained from DISTANCE were consistent with the estimates of bird density without applying a detection function. We found that the differences in bird densities between habitats were qualitatively the same irrespective of the method, i.e., with fixed radii of 20 m, 50 m and with the respective detection function.…”
Section: Methodsmentioning
confidence: 99%
“…Study area: Kakamega forest lies in western Kenya between 00°08′30.5′′ – 00°23′12.5′′ N and 34°18′ 08′′ – 34°57′26.5′′ E from 1520–1680 m above sea level 6, 7 . The mean annual rainfall is 2000 mm, with long rains in April/May and short rains in September/October 6 while mean annual temperature is 20°C.…”
Section: Methodsmentioning
confidence: 99%