Scaling up or scaling down: the use of foliage and soil information for optimising the phosphate nutrition of radiata pine

Citation
Tw. Payn et al., Scaling up or scaling down: the use of foliage and soil information for optimising the phosphate nutrition of radiata pine, FOREST ECOL, 138(1-3), 2000, pp. 79-89
Citations number
13
Categorie Soggetti
Plant Sciences
Journal title
FOREST ECOLOGY AND MANAGEMENT
ISSN journal
03781127 → ACNP
Volume
138
Issue
1-3
Year of publication
2000
Pages
79 - 89
Database
ISI
SICI code
0378-1127(20001101)138:1-3<79:SUOSDT>2.0.ZU;2-5
Abstract
Fertilising with phosphate is important in New Zealand radiata pine plantat ions. Phosphate fertiliser trials have provided functions for determining p otential growth gains from stands based on foliar P status. We used the nat ional foliage database to determine the proportion of forest stands likely to be deficient in NZ. This gave a statistical representation but without a spatial reference. We used a nested design to test the spatial representat ion of foliar nutrient status and responsiveness at varied map scales. Firs t we used the national soil map (1:10(6) scale) to show where P deficiency, and hence response, was most likely to occur. It was apparent that this re presentation was not acceptable for any operational scab planning. General trends in foliar status could be seen but there was no way of defining wher e foliage sampling should be concentrated within soil units, leading to ine fficient sampling strategies. We then concentrated on the pumice, allophani c and podsol soil orders in the central North Island and used foliage data associated with 1:100,000 scale soil series map units. The spatial variatio n in likelihood of P deficiency and responsiveness was much clearer at this scale and more efficient foliar sampling programmes could be designed. At the most intensive scale (1:10,000) there were further gains to be made in foliage sampling efficiency and identification of responsive sites in some, but not all cases, and this depended on the soil pattern. We then tested whether spatial analysis of foliage data without reference t o soil was better than using soil series as a defining class. Semivariogram s constructed for foliar P concentration indicated that errors involved wit h predicting foliar P concentration were no less than if soil series was us ed as a predictor of foliar P status and responsiveness. We concluded that 1:100,000 soil series maps were adequate for general nutr itional management planning and definition of areas Likely to be responsive . However, for really precise work 1:10,000 maps would give additional defi nition for P fertilisation operations and allow us to refine fertiliser pre scriptions at the within stand scale in some cases. (C) 2000 Elsevier Scien ce B.V, All rights reserved.