A MODEL OF THE GRAZING OF HILL VEGETATION BY SHEEP IN THE UK .2. THE PREDICTION OF OFFTAKE BY SHEEP

Citation
Hm. Armstrong et al., A MODEL OF THE GRAZING OF HILL VEGETATION BY SHEEP IN THE UK .2. THE PREDICTION OF OFFTAKE BY SHEEP, Journal of Applied Ecology, 34(1), 1997, pp. 186-207
Citations number
58
Categorie Soggetti
Ecology
Journal title
ISSN journal
00218901
Volume
34
Issue
1
Year of publication
1997
Pages
186 - 207
Database
ISI
SICI code
0021-8901(1997)34:1<186:AMOTGO>2.0.ZU;2-I
Abstract
1. A model is described which predicts seasonal changes in the quantit y and digestibility of offtake by ewes and lambs grazing seven dwarf s hrub-dominated and five grass-dominated vegetation types commonly foun d in the hill areas of the UK. 2. Intake from a given vegetation type is assumed to depend on the area covered by the vegetation type and th e potential daily intake of digestible dry matter (DM) available from it, in relation to those for all vegetation types present. Potential d aily intake of digestible DM is calculated as the product of diet dige stibility and daily DM intake. Daily DM intake is assumed to be limite d either by diet digestibility or by a maximum grazing time, whichever is the lower. If the latter, estimates of bite weight and bite rate a re used to predict the maximum achievable DM intake. 3. The sensitivit y of model outputs to a range of parameters is described. Predictions made by the model of relative grazing times on a range of vegetation t ypes at one site bore a close resemblance to measured values. 4. Analy sis of model behaviour is used to consider the factors that influence the behaviour of hill grazing systems and to suggest the circumstances under which the dwarf shrub Calluna vulgaris (heather) is most likely to be at risk from grazing. 5. The model, integrated with one describ ed elsewhere which predicts the seasonal food resource available to he rbivores from hill vegetation, represents the first synthesis of the a vailable information on hill grazing systems in the UK into a simulati on model. Possible developments and potential uses are discussed.