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Towards a quantitative classification of soil nutrient regimes in British Columbia : comparison of regional studies Klinka, Karel; Varga, Pal; Chourmouzis, Christine
Abstract
The three major components in the site classification of the biogeoclimatic ecosystem classification system are: climatic regimes, soil moisture regimes (SMRs) and soil nutrient regimes (SNRs). Both SMRs and SNRs can be identified in the field using soil characteristics and indicator plants. In the case of SMRs a quantitative classification was also developed that allow comparison of SMRs in different subzones. However, similar quantitative classification has not yet been developed for SNRs. This pamphlet summarizes and compares the results of several regional studies conducted in different biogeclimatic zones. Each of theses studies aimes to develop a quantitative SNR classification (Table 1). The comparison will examine: (1) how well the field-based classification matches quantitative classification, and (2) which direct measures distinguish best between field-identified SNRs.
Item Metadata
Title |
Towards a quantitative classification of soil nutrient regimes in British Columbia : comparison of regional studies
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Alternate Title |
Scientia silvica extension series, no. 25
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Creator | |
Publisher |
Forest Sciences Department, University of British Columbia
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Date Issued |
1999
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Description |
The three major components in the site classification of the biogeoclimatic ecosystem classification system are: climatic regimes, soil moisture regimes (SMRs) and soil nutrient regimes (SNRs). Both SMRs and SNRs can be identified in the field using soil
characteristics and indicator plants. In the case of SMRs a quantitative classification was also developed that allow comparison of SMRs in different subzones. However, similar quantitative classification has not yet been developed for SNRs. This pamphlet
summarizes and compares the results of several regional studies conducted in different biogeclimatic zones. Each of theses studies aimes to develop a quantitative SNR classification (Table 1). The comparison will examine: (1) how well the field-based
classification matches quantitative classification, and (2) which direct measures distinguish best between field-identified SNRs.
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Extent |
156965 bytes
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Subject | |
Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2008-04-23
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Provider |
Vancouver : University of British Columbia Library
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Rights |
All rights reserved
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DOI |
10.14288/1.0107288
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URI | |
Affiliation | |
Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Aggregated Source Repository |
DSpace
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Rights
All rights reserved