AnsmACTThe results of "rcvious papcn (Scott 1977a, b) describing field quantitative measurements followed by statistical analYSIs are further compared with other work. The use of such app.roaches in ma~ing man~gement decisions is discussed. An .example is given of the me of hnear programming to asSiSt management under several constramts.
INTRODUCTIONThe two previous papers (Scott 1977a, b) gave the results of "plant/environment" investigations above the timber line on Mt Ruapchu. The first gave the interactions bctwccn constant or slowly changing environmental factors ("abundance/site" study), and the second was concerned with plant response to more-rapidly changing ~nvironmental factors like climate ("climate/growth" study). The extensive usc of quantitative statistical methods was reported in hoth papers. This paper contains a ,"eneral discussion of the approach used, with further comparisons of the Mt Ruapehu results with other work, and describes how the results from such surveys, using either the adopted approach or others. can be used to make management decisions.
EXI'EIUMENT AL API'ROACIIThis study of vegetation on part of Mt Ruapchu considered some aspects oC plant and environment interactions. That the number of possible variables and interactions in such an ecosystem is immense would be generally conceded. nut the number of interactions is not infinite because any ecological Interaction must be mediated through particular processes (e.g., energy exchange. photosynthesis) in which only a lew variables arc involved. Complex interactions are combinations 01 many such smaller groups of variables and processes linked together into a multi-stage. multi-factorial whole.The problem in attempting to determine something about these factors and interactions is to find an investigational strategy suitable (or the answers required and resources available. The objective of this study was to find principal environmental factors controlling the distribution of species in this alpine region. It was assumed that the distribution of species was not related to Jack of biota or dispersion because all sites were within a limited area, and therefore patterns in distribution and growth were relate,d to present differences in environment.Scott (1974) discussed how identification of variables and their interactions in such a problem progress through stages from qualitative to quantitative. from graphical or tabular through to empirical and theoretical relationships. and (rom empirical through statistical methods to curve fitting and modelling. The present study attained the stage of empirical curve fitting of relationships using statistical method §. In this, the features of the study were:(i) consideration of variations in amounts of species between sites and growth within sites; (ii) measurement of many plant and environmental variables; (iii) extensive use of statistical procedures.Plant parameters in the "growth/climate" study refer to the production of new plant material over a short period, whereas in the "abundance/sit...