Quantifying the timescales over which exogenous and endogenous conditions affect soil respiration

被引:42
作者
Barron-Gafford, Greg A. [1 ,2 ]
Cable, Jessica M. [3 ]
Bentley, Lisa Patrick [4 ]
Scott, Russell L. [5 ]
Huxman, Travis E. [6 ,7 ]
Jenerette, G. Darrel [8 ]
Ogle, Kiona [9 ]
机构
[1] Univ Arizona, Sch Geog & Dev, Tucson, AZ 85721 USA
[2] Univ Arizona, Tucson, AZ 85721 USA
[3] Univ Alaska Fairbanks, Int Arctic Res Ctr, Fairbanks, AK 99775 USA
[4] Univ Oxford, Oxford Univ Ctr Environm, Environm Change Inst, Oxford OX1 3QY, England
[5] ARS, Southwest Watershed Res Ctr, USDA, Tucson, AZ 85719 USA
[6] Univ Calif Irvine, Irvine, CA 92697 USA
[7] Univ Calif Irvine, Ctr Environm Biol, Irvine, CA 92697 USA
[8] Univ Calif Riverside, Dept Bot & Plant Sci, Riverside, CA 92521 USA
[9] Arizona State Univ, Sch Life Sci, Tempe, AZ USA
基金
美国国家科学基金会;
关键词
antecedent conditions; Bayesian modeling; lag effects; mesquite; photosynthesis; Prosopis velutina; soil respiration; woody plant encroachment; WOODY-PLANT ENCROACHMENT; EXPLORATORY DATA-ANALYSIS; ECOSYSTEM RESPIRATION; PRECIPITATION PULSES; WATER RELATIONS; CARBON FLUXES; TEMPERATURE; PHOTOSYNTHESIS; EXCHANGE; SENSITIVITY;
D O I
10.1111/nph.12675
中图分类号
Q94 [植物学];
学科分类号
071001 [植物学];
摘要
Understanding how exogenous and endogenous factors and above-ground-below-ground linkages modulate carbon dynamics is difficult because of the influences of antecedent conditions. For example, there are variable lags between above-ground assimilation and below-ground efflux, and the duration of antecedent periods are often arbitrarily assigned. Nonetheless, developing models linking above- and below-ground processes is crucial for estimating current and future carbon dynamics. We collected data on leaf-level photosynthesis (A(sat)) and soil respiration (R-soil) in different microhabitats (under shrubs vs under bunchgrasses) in the Sonoran Desert. We evaluated timescales over which endogenous and exogenous factors control R-soil by analyzing data in the context of a semimechanistic temperature-response model of R-soil that incorporated effects of antecedent exogenous (soil water) and endogenous (A(sat)) conditions. For both microhabitats, antecedent soil water and A(sat) significantly affected R-soil, but R-soil under shrubs was more sensitive to A(sat) than that under bunchgrasses. Photosynthetic rates 1 and 3d before the R-soil measurement were most important in determining current-day R-soil under bunchgrasses and shrubs, respectively, indicating a significant lag effect.Endogenous and exogenous controls are critical drivers of R-soil, but the relative importance and the timescale over which each factor affects R-soil depends on above-ground vegetation and ecosystem structure characteristics.
引用
收藏
页码:442 / 454
页数:13
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