5. In Summary
In this chapter we have discussed various forms of field assessment available for monitoring the quality of a habitat, concentrating on three principal components: vegetation cover, species composition, and vegetation height.
The results from multiple-observer sampling trials have indicated that the most reliable measures for monitoring habitats are presence and absence data; simple counts of abundance; and using a drop disc to record vegetation height.
As a general rule, we should try to avoid using estimates of vegetation cover in a monitoring project unless absolutely necessary. If we decide that it is essential, then we should monitor against cover targets. The results from sampling trials suggest that if we set up a monitoring project where the result can depend solely on estimates of vegetation cover, then the reliability of the monitoring result will be compromised by unacceptable levels of observer bias.
For this reason, we should think carefully about what we need to know about the vegetation that we are monitoring before deciding how to monitor it. If we consider, within any broad habitat type, which examples of a habitat we regard to be of high conservation interest, and why, we will probably begin to focus on those with a good representation of stress tolerating species (Chapter 8). These species will become scarcer as the more competitive species achieve dominance. This suggests that, in most cases at least, it is actually the presence of the stress tolerators (and associated species) that dictates the conservation value of the habitat, rather than the cover of the potentially dominant competitors. If we accept this, then the most efficient and reliable approach to monitoring the condition of a habitat is to focus on the frequency (or abundance) of the stress tolerating associate species, and not the cover of the dominants.
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6. References
Stewart, K.E.J., Bourne, N.A.D. & Thomas, J.A. (2001). An evaluation of three quick methods commonly used to assess sward height in ecology. Journal of Applied Ecology 2001: 38: 1148–1154.
Barthram, G.T. (1986). Experimental techniques — the HFRO sward stick. Biennial Report of the Hill Farming Research Organisation 1984–85 (ed. M.M. Allcock), pp. 29–30. Hill Farming Research Organisation, Penicuik, Midlothian, UK.
Brown, A. (2000). Habitat Monitoring for Conservation Management and Reporting. 3: Technical Guide. Life-Nature Project no LIFE95 NAT/UK/000821. Integrating monitoring with management planning: a demonstration of good practice in Wales. Countryside Council for Wales, Bangor.
Holmes, C.W. (1974). The Massey grass meter. Dairy Farming Annual, pp.26–30. Massey University, Palmerston North, New Zealand.
Hodgson, J., Taylor, J.C. & Lonsdale, C.R. (1971). The relationship between intensity of grazing and the herbage consumption and growth of calves. Journal of the British Grassland Society, 26: 231–237.
Hurford, C. & Perry, K (2000). Habitat Monitoring for Conservation Management and Reporting. 1: Case studies. Life-Nature Project no LIFE95 NAT/UK/000821. Integrating monitoring with management planning: a demonstration of good practice in Wales. Countryside Council for Wales, Bangor.
Leach, S.J. & Doarks, C. (1991). Site Quality Monitoring methods and approaches (with particular reference to grasslands). Project No. 135. English Field Unit, Nature Conservancy Council, Peterborough.
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Hurford, C. (2006). Minimising Observer Error. In: Hurford, C., Schneider, M. (eds) Monitoring Nature Conservation in Cultural Habitats. Springer, Dordrecht . https://doi.org/10.1007/1-4020-3757-0_10
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