Global meta-analysis for controlling factors on carbon stable isotope ratios of lotic periphyton

被引:60
作者
Ishikawa, Naoto F. [1 ]
Doi, Hideyuki [2 ]
Finlay, Jacques C. [3 ]
机构
[1] Kyoto Univ, Ctr Ecol Res, Otsu, Shiga 5202113, Japan
[2] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26382 Wilhelmshaven, Germany
[3] Univ Minnesota, Dept Ecol Evolut & Behav, St Paul, MN 55108 USA
基金
日本学术振兴会;
关键词
delta C-13 variation; Regional control; Local control; Structural equation modeling; Lotic ecosystem; WATER VELOCITY; FOOD-WEB; BENTHIC ALGAE; ENERGY-FLOW; FRACTIONATION; DYNAMICS; MACROINVERTEBRATES; TERRESTRIAL; VARIABILITY; BICARBONATE;
D O I
10.1007/s00442-012-2308-x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Carbon stable isotope ratios (delta C-13) are widely used to trace resource transfer pathways, yet delta C-13 variation in freshwater autotrophs is not yet fully understood. We have analyzed data from 42 published studies, supplemented with some unpublished data, to show the determinants of lotic periphyton delta C-13. At large spatial scales, we observed broad differences in periphyton delta C-13 among biomes and consistent longitudinal variation related to watershed area. Longitudinal increases in delta C-13 indicate the importance of in-stream processes on lotic carbon cycles and autotroph delta C-13 variation. At local spatial scales, periphyton delta C-13 was negatively related to canopy cover and water current velocity and positively related to chlorophyll a density. Autotroph delta C-13 varied among taxonomic groups. Cyanobacteria and red algae had significantly higher and lower delta C-13 than other taxa, respectively. A hierarchical model across spatial scales showed that local controls for periphyton delta C-13 were nested by regional controls, which suggested that productivity and CO2 availability determine delta C-13. Overall, our results reveal general patterns of periphyton delta C-13 and provide improved information for study design and the use of delta C-13 in isotopic mixing models in lotic food web studies.
引用
收藏
页码:541 / 549
页数:9
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