Meta-analysis of lotic nutrient amendment experiments: detecting and quantifying subtle responses

被引:200
作者
Francoeur, SN [1 ]
机构
[1] Univ Alabama, Aquat Biol Program, Tuscaloosa, AL 35487 USA
来源
JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY | 2001年 / 20卷 / 03期
基金
美国国家科学基金会;
关键词
benthic algae; periphyton; biomass; nutrient limitation; nutrient enrichment; meta-analysis; statistical power; community ecology;
D O I
10.2307/1468034
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Ecological theory predicts that multiple nutrients, added independently, could each stimulate algal community biomass. In contrast to this theoretical prediction, individual nutrient amendment experiments frequently detect significant increases in algal community biomass in response to addition of a single nutrient, whereas the independent addition of other nutrients often does not result in a statistically significant increase in biomass. However, because of the low replication and high variability typical of ecological field experiments, only large responses can be detected as statistically significant in any single experiment. It is therefore possible that smaller, yet still real and biologically important responses occur, but remain undetected because of the low statistical power of individual experiments. Meta-analysis of lotic nutrient (N and P) amendment experiments indicated that simultaneous stimulation of benthic algal community biomass by >1 nutrient was the rule, not the exception. Addition of a limiting nutrient typically doubled algal biomass, whereas addition of another nutrient generally increased algal biomass similar to1.25-fold. N was approximately equally likely as P to be limiting. The power of the typical experiment for detecting biomass stimulation resulting from limiting and "nonlimiting" nutrients was > 85% and < 50%, respectively. This study presents yet another line of evidence that multispecies communities are unlikely to be limited by a single nutrient, and illustrates the utility of meta-analysis for conducting statistically powerful syntheses of ecological experiments.
引用
收藏
页码:358 / 368
页数:11
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