uid=BNZ,o=lter,dc=ecoinformatics,dc=org all public read knb-lter-bnz.229.10 A. David McGuire Co-PI

Alaska Cooperative Fish and Wildlife Research Unit University of Alaska Fairbanks Irving I Building Fairbanks AK 99775 United States

(907) 474-6242 (907) 474-7872 admcguire@alaska.edu http://mercury.bio.uaf.edu/~dave_mcguire/dmcguire.html Bonanza Creek LTER Data Manager

Boreal Ecology Cooperative Research Unit University of Alaska Fairbanks P.O. Box 756780 Fairbanks AK 99775 USA

907-474-6364 907-474-6251 jpdowning@alaska.edu http://www.lter.uaf.edu Joy S Clein Research Professional

Institute of Arctic Biology University of Alaska Fairbanks P.O. Box 757000 Fairbanks AK 99775-7000 United States

(907) 474-5660 (907) 474-6967 Associated investigator 2007-01-01 We collected black spruce needle from several sites located near Fairbanks Ak, and Delta, Ak in August 1999 (Sites designated here as S1, S2, and S3) were located in Fairbanks (64o40?N, 148o15?W), Alaska (S1: 64o52.164? N, 147o51.462? W; S2: 64o52.058? N, 147o51.378? W; S3: 64o51.603? N, 147o52.789? W) with 2 additional sites (S4, S5) in Delta, Alaska (64010? N, 145030? W). In each stand, 30 trees were randomly selected for sampling. Within each tree, five shoots were collected from the southern aspect of the mid-canopy height from each of the following age classes: 0-, 1-, 4-, 9-, and 19-years old. In two of the Fairbanks stands (S2, S3), 19-year old needles were not present. A total of 690 samples over the five stands include 150 samples per stand in three stands (S1, S4, S5) and 120 samples per stand in the other two stands (S2, S3). Needles were returned to the lab and nitrogen content was determined. We used a three-factor nested analysis of variance (ANOVA) to evaluate differences in needle N concentration among the ages of needles on a tree, among trees nested within a stand, and among stands. Ages and stands were treated as fixed factors and tree was treated as a random factor. The ANOVA and means testing for these differences used Proc GLM in the SAS statistical package with needle N content as the dependent variable and needle age, tree, and stand as independent variables. The GLM procedure handled the problem of missing treatment combinations within the ANOVA. Type III sum of squares was used to test the effects of factors without interactions black spruce Fairbanks nitrogen Biogeochemistry

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http://www.lter.uaf.edu/data_detail.cfm?datafile_pkey=229 1999-06-01 1999-09-01

Completed

Bonanza Creek LTER Data Manager

Boreal Ecology Cooperative Research Unit University of Alaska Fairbanks P.O. Box 756780 Fairbanks AK 99775 USA

907-474-6364 907-474-6251 jpdowning@alaska.edu http://www.lter.uaf.edu Bonanza Creek LTER

Boreal Ecology Cooperative Research Unit University of Alaska Fairbanks P.O. Box 756780 Fairbanks AK 99775 USA

907-474-6364 907-474-6251 Bonanza Creek LTER

Field methods: Samples were collected from all 5 sites. In each stand, 30 trees were randomly selected for sampling. Within each tree, five shoots were collected from the southern aspect of the mid-canopy height from each of the following age classes: 0-, 1-, 4-, 9-, and 19-years old. In two of the Fairbanks stands (S2, S3), 19-year old needles were not present. A total of 690 samples over the five stands include 150 samples per stand in three stands (S1, S4, S5) and 120 samples per stand in the other two stands (S2, S3). Lab methods: < samples were oven dried at 50 oC for three to five days, and needles were removed from shoots, weighed, ground through a 20 µm mesh screen, and analyzed for total N on a LECO 2000 CNS Autoanalyzer (St. Joseph, Michigan). We used a three-factor nested analysis of variance (ANOVA) to evaluate differences in needle N concentration among the ages of needles on a tree, among trees nested within a stand, and among stands. Ages and stands were treated as fixed factors and tree was treated as a random factor. The ANOVA and means testing for these differences used Proc GLM in the SAS statistical package with needle N content as the dependent variable and needle age, tree, and stand as independent variables. The GLM procedure handled the problem of missing treatment combinations within the ANOVA. Type III sum of squares was used to test the effects of factors without interactions

1999-06-01 1999-09-01

once

5standsN.txt 5standsN.txt 1 \n \n column , http://metacat.lternet.edu/das/dataAccessServlet?docid=knb-lter-bnz..&urlTail=/ascii/files/5standsN.txt Stand Stand Stand integer Stand needleage needleage needleage integer needleage Tree# Tree# Tree# integer Tree# N(%) N(%) N(%) float dimensionless real