2017
DOI: 10.1111/aje.12383
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Birds in the matrix: the role of agriculture in avian conservation in the Taita Hills, Kenya

Abstract: Agricultural conversion of tropical forests is a major driver of biodiversity loss. Slowing rates of deforestation is a conservation priority, but it is also useful to consider how species diversity is retained across the agricultural matrix. Here we assess how bird diversity varies in relation to land use in the Taita Hills, Kenya. We used point counts to survey birds along a land-use gradient that included primary forest, secondary vegetation, agroforest, timber plantation and cropland. We found that the agr… Show more

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Cited by 19 publications
(14 citation statements)
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References 54 publications
(70 reference statements)
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“…Our survey captured local diversity with total sampling effort comparable to similar studies in the African‐wide dataset [24 h on Kilimanjaro and 25 h on Taita Hills, compared with an average of 35.15 ± 15.92 ( sd ) sampling hours in the African‐wide dataset]. Seasonal changes in the abundance of certain bird species might introduce bias into our field study; however, a resurvey of some of the sites in the Taita Hills in a different climatic season showed similar responses of avian diversity to land use (Norfolk et al ., in press). Species identity was determined following commonly used visual taxonomic guides and assisted by audio recordings from freely available bird‐sound databases (Stevenson & Fanshawe, ; http://www.xeno-canto.org).…”
Section: Methodsmentioning
confidence: 99%
“…Our survey captured local diversity with total sampling effort comparable to similar studies in the African‐wide dataset [24 h on Kilimanjaro and 25 h on Taita Hills, compared with an average of 35.15 ± 15.92 ( sd ) sampling hours in the African‐wide dataset]. Seasonal changes in the abundance of certain bird species might introduce bias into our field study; however, a resurvey of some of the sites in the Taita Hills in a different climatic season showed similar responses of avian diversity to land use (Norfolk et al ., in press). Species identity was determined following commonly used visual taxonomic guides and assisted by audio recordings from freely available bird‐sound databases (Stevenson & Fanshawe, ; http://www.xeno-canto.org).…”
Section: Methodsmentioning
confidence: 99%
“…Most land in the middle and middle-high zones is already in use and parcelled in small plots, except the small forest patches hosting endemic and specialist species (Norfolk et al 2017a). In the business as usual scenario, a concentration of human presence and activities in a relatively small area could trigger a vicious circle of soil degradation and deforestation, and feedback effects on water availability, crop productivity, biodiversity and social conflicts.…”
Section: Business As Usual Scenariosmentioning
confidence: 99%
“…This may be attributed to the heterogeneity of landscapes supporting an array of habitats comprising of intact forest patches, protected areas (Jasrota, Nandini, and Surinsar-Mansar Wildlife sanctuaries), rocky ridges, vast fallows and agricultural fields, water bodies (rivers, streams, and ponds), floodplains and urban habitats infused with green belt parks, urban forests and green corridors that provide favorable space for nesting, breeding, perching and roosting and thus high raptor richness and abundance [3,81–84]. Landscape attributes play an important role in determining avian richness and abundance [85–86] which is high in mosaic lands [8789] limited by suitable breeding habitat and specific nest-site requirements [1,3]. Raptors which have large home ranges encompass a wide range of habitats [90].…”
Section: Discussionmentioning
confidence: 99%
“…Landscape attributes play an important role in determining avian richness and abundance [85][86] which is high in mosaic lands [87][88][89] limited by suitable breeding habitat and specific nestsite requirements [1,3]. Raptors which have large home ranges encompass a wide range of habitats [90].…”
Section: Richness and Abundancementioning
confidence: 99%