Effects of Land Use on Breeding Pheasant Density

Robertson, Peter A.; Woodburn, M. I. A.; Neutel, W.; Bealey, Clive E.

doi:10.2307/2404187

Cited by 31 publications

(32 citation statements)

References 9 publications

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“…The locations of male pheasant territories and the numbers of territorial males, non‐territorial males, and females were determined from three to six complete counts in each plot according to the method of Robertson et al . (1993).…”

Section: Methodsmentioning

confidence: 99%

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Effects of supplementary feeding on territoriality, breeding success and survival of pheasants

Hoodless

Draycott

Ludiman

et al. 1999

Journal of Applied Ecology

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Section: Methodsmentioning

confidence: 99%

“…(1993). The density of territories along woodland edges has varied between years on this study site in relation to the crop type in the neighbouring field, densities being high when the crop comprised wheat or barley, and low when grass (Robertson et al . 1993).…”

Section: Methodsmentioning

confidence: 99%

Effects of supplementary feeding on territoriality, breeding success and survival of pheasants

Hoodless

Draycott

Ludiman

et al. 1999

Journal of Applied Ecology

Self Cite

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“…Outputs were used this to predict 1996 values of S, then re-analysed on the basis of combined datasets for the 2 years. Principal components analysis (PCA) was used to generate start points for the modelling process, but PCA ordinate values were not used as modelling variables themselves (Robertson et al, 1993). This process would be repeated using the two most significant variables from each of the four most significant PCA axis.…”

Section: Modellingmentioning

confidence: 99%

Prediction of plant diversity response to land-use change on Scottish agricultural land

Wilson

Abernethy

Murphy

et al. 2003

Agriculture, Ecosystems & Environment

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Surveys of 87 sites within nine locations on Scottish agricultural land, during 1995-1997, recorded 335 species of vascular plants and 95 bryophyte species, within 31 recognisable plant communities. Multivariate analysis placed the vegetation into five main vegetation types, with differing plant species richness (S: number of species per 100 m 2 ). These were upland grassland (mean S = 37); mesotrophic semi-improved grassland (mean S = 25); mire/heath vegetation (mean S = 22); intensive grassland (mean S = 12); and arable land and weed communities, including set-aside (mean S = 9).Management intensity was a good predictor (R 2 = 0.729) of vegetation type, with low intensity being typical of upland grassland, and high intensity typical of arable vegetation. The data were used to develop and test a set of minimal linear models of plant diversity response to land-use changes, operating at field scale, under the agro-geo-climatic conditions of mainland Scotland. The models utilised predictor variables drawn from a suite of functional vegetation attributes, environmental data, and management information. All-plant-species S was well predicted at quadrat level (i.e. within field, excluding margins) by three models with high R 2 values (0.82-0.93) utilising management variables such as crop-type, livestock density, time since last cultivation; vegetation state variables such as bryophyte cover, sward height, litter cover; and environmental variables such as soil P content. Bryophyte S was well predicted by four models with high R 2 values (0.83-0.92). Bryophyte percentage cover was the most important predictor variable in these models. Vascular plant species S was less well predicted than either all-plant-species or bryophytes-only models. The models can be used to assess the implications of land-use change scenarios, and to aid management decisions to help to maintain plant diversity within the Scottish agricultural landscape.

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“…A mean value at each height category was calculated for each plot. A similar method has been used to assess the effect of structure on the use of woodland by Pheasant Phasianus colchicus and is described in more detail in Robertson et al 25 Below 1 m, the structure measures also recorded the presence of other plants growing within the crop.…”

Section: Songbird Surveys and Habitat Measurementsmentioning

confidence: 99%

Factors affecting songbird communities using new short rotation coppice habitats in spring

Sage¹,

Robertson²

1996

Bird Study

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Effects of Land Use on Breeding Pheasant Density

Cited by 31 publications

References 9 publications

Effects of supplementary feeding on territoriality, breeding success and survival of pheasants

Effects of supplementary feeding on territoriality, breeding success and survival of pheasants

Prediction of plant diversity response to land-use change on Scottish agricultural land

Factors affecting songbird communities using new short rotation coppice habitats in spring

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