Forest reconstruction and past climatic estimates for a deforested region of south-eastern New Zealand

Citation
Gmj. Hall et Ms. Mcglone, Forest reconstruction and past climatic estimates for a deforested region of south-eastern New Zealand, LANDSC ECOL, 16(6), 2001, pp. 501-521
Citations number
59
Categorie Soggetti
Environment/Ecology
Journal title
LANDSCAPE ECOLOGY
ISSN journal
09212973 → ACNP
Volume
16
Issue
6
Year of publication
2001
Pages
501 - 521
Database
ISI
SICI code
0921-2973(200108)16:6<501:FRAPCE>2.0.ZU;2-5
Abstract
Predictions of species biomass from a forest simulation model were compared with pollen percentages for seven peatland sites in an area of Southland-O tago, New Zealand, now depleted of forest cover. Comparisons were made for the recent past 700-800 cal. yr BP) and for a period of the early Holocene (7000-8000 cal. yr BP). Satisfactory matches were obtained overall between predicted biomass and pollen for the recent dataset (r = 0.73, P < 0.001), in spite of expected poor correspondences for some pollen taxa known to be under-represented in the modem pollen rain. Nothofagus species tended to be over-represented by the simulation model, due most likely to dispersal lim iting to their spread under actual conditions. Raising mean annual temperat ures by 1<degrees>C and lowering precipitation by up to 60% for the forest simulation produced a satisfactory match to the early Holocene site data (r = 0.69, P < 0.001). To test for consistency between recent and past period s, regressions for each period of modelled relative biomass against pollen percentages were compared, using all tree taxa from all sites. No discernib le bias was found between the different climate regimes modelled. However, an examination of each site showed the dominant early-Holocene hardwood for ests of Stewart Island were not reproduced by a simulation under the hypoth esized past climate. These forests required a different set of conditions f rom those for the South Island sites. suggesting they grew under a differen t climatic regime. The low variation in climate among several of the sites tested the forest model's ability to reproduce the distinct forest communit ies identified from the pollen data. Comparisons with the pollen record imp roved confidence in the species attribute data used by the model, the compl eteness of the ecosystem processes explicitly modelled, and the disturbance regimes employed. A forest reconstruction of the region, under current cli mate conditions, indicated extensive areas of grassland and grassland-scrub vegetation could potentially be replaced by a range of podocarp, broadleaf , and beech forest types. Overall, the exercise suggested such approaches c an improve our understanding of the processes required to restore forest in depleted landscapes and to model forest dynamics under changed climates.