Functional diversity of leaf nitrogen concentrations drives grassland carbon fluxes

被引：99

作者：

Milcu, Alexandru ^{[1
]}

Roscher, Christiane ^{[2
]}

Gessler, Arthur ^{[3
]}

Bachmann, Doerte ^{[4
]}

Gockele, Annette ^{[5
]}

Guderle, Markus ^{[6
]}

Landais, Damien ^{[1
]}

Piel, Clement ^{[1
]}

Escape, Christophe ^{[1
]}

Devidal, Sebastien ^{[1
]}

Ravel, Olivier ^{[1
]}

Buchmann, Nina ^{[4
]}

Gleixner, Gerd ^{[7
]}

Hildebrandt, Anke ^{[6
]}

Roy, Jacques ^{[1
]}

机构：

[1] CNRS, Ecotron UPS 3248, F-34980 Montferrier Sur Lez, France

[2] UFZ, Helmholtz Ctr Environm Res, Dept Community Ecol, D-06120 Halle, Germany

[3] Inst Landscape Biogeochem, Leibniz Ctr Agr Landscape Res ZALF, D-15374 Muncheberg, Germany

[4] ETH, Inst Agr Sci, CH-8092 Zurich, Switzerland

[5] Univ Freiburg, Geobotanik, Inst Biol 2, D-79104 Freiburg, Germany

[6] Univ Jena, Inst Geosci, D-07749 Jena, Germany

[7] Max Planck Inst Biogeochem, D-07701 Jena, Germany

来源：

ECOLOGY LETTERS | 2014年 / 17卷 / 04期

基金：

瑞士国家科学基金会;

关键词：

water use efficiency; Rao's quadratic entropy; gross primary productivity; plant species richness; Jena Experiment; Ecotron; biodiversity-ecosystem functioning; Apparent quantum yield; nitrogen use efficiency; net ecosystem productivity; PLANT-SPECIES RICHNESS; WATER-USE EFFICIENCY; CANOPY PHOTOSYNTHESIS; BIODIVERSITY LOSS; ECOSYSTEM; LIGHT; TRAIT; MODEL; CO2; PRODUCTIVITY;

D O I：

10.1111/ele.12243

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Little is known about the role of plant functional diversity for ecosystem-level carbon (C) fluxes. To fill this knowledge gap, we translocated monoliths hosting communities with four and 16 sown species from a long-term grassland biodiversity experiment ('The Jena Experiment') into a controlled environment facility for ecosystem research (Ecotron). This allowed quantifying the effects of plant diversity on ecosystem C fluxes as well as three parameters of C uptake efficiency (water and nitrogen use efficiencies and apparent quantum yield). By combining data on ecosystem C fluxes with vegetation structure and functional trait-based predictors, we found that increasing plant species and functional diversity led to higher gross and net ecosystem C uptake rates. Path analyses and light response curves unravelled the diversity of leaf nitrogen concentration in the canopy as a key functional predictor of C fluxes, either directly or indirectly via LAI and aboveground biomass.

引用

页码：435 / 444

页数：10

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