Quantifying ecological memory in plant and ecosystem processes

被引:321
作者
Ogle, Kiona [1 ]
Barber, Jarrett J. [2 ]
Barron-Gafford, Greg A. [3 ]
Bentley, Lisa Patrick [4 ]
Young, Jessica M. [5 ]
Huxman, Travis E. [6 ,7 ]
Loik, Michael E. [8 ]
Tissue, David T. [9 ]
机构
[1] Arizona State Univ, Sch Life Sci, Tempe, AZ 85281 USA
[2] Arizona State Univ, Sch Math & Stat Sci, Tempe, AZ USA
[3] Univ Arizona, Sch Geog & Dev & Earthsci B2, Tucson, AZ USA
[4] Univ Oxford, Ctr Environm, Environm Change Inst, Oxford, England
[5] Univ Alaska, Int Arctic Res Ctr, Fairbanks, AK 99701 USA
[6] Univ Calif Irvine, Irvine, CA USA
[7] Univ Calif Irvine, Ctr Environm Biol, Irvine, CA USA
[8] Univ Calif Santa Cruz, Dept Environm Studies, Santa Cruz, CA 95064 USA
[9] Univ Western Sydney, Hawkesbury Inst Environm, Richmond, NSW, Australia
关键词
Antecedent conditions; hierarchical Bayesian model; lag effects; legacy effects; net primary production; soil respiration; stomatal conductance; time-series; tree growth; tree rings; TIME-SERIES ANALYSIS; SOIL-WATER DYNAMICS; STOMATAL CONDUCTANCE; CLIMATE-CHANGE; GROWTH-RESPONSES; DOUGLAS-FIR; PRECIPITATION; RESPIRATION; DESERT; PHOTOSYNTHESIS;
D O I
10.1111/ele.12399
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The role of time in ecology has a long history of investigation, but ecologists have largely restricted their attention to the influence of concurrent abiotic conditions on rates and magnitudes of important ecological processes. Recently, however, ecologists have improved their understanding of ecological processes by explicitly considering the effects of antecedent conditions. To broadly help in studying the role of time, we evaluate the length, temporal pattern, and strength of memory with respect to the influence of antecedent conditions on current ecological dynamics. We developed the stochastic antecedent modelling (SAM) framework as a flexible analytic approach for evaluating exogenous and endogenous process components of memory in a system of interest. We designed SAM to be useful in revealing novel insights promoting further study, illustrated in four examples with different degrees of complexity and varying time scales: stomatal conductance, soil respiration, ecosystem productivity, and tree growth. Models with antecedent effects explained an additional 18-28% of response variation compared to models without antecedent effects. Moreover, SAM also enabled identification of potential mechanisms that underlie components of memory, thus revealing temporal properties that are not apparent from traditional treatments of ecological time-series data and facilitating new hypothesis generation and additional research.
引用
收藏
页码:221 / 235
页数:15
相关论文
共 84 条
  • [1] Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century
    Aono, Yasuyuki
    Kazui, Keiko
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2008, 28 (07) : 905 - 914
  • [2] Thermal acclimation and the dynamic response of plant respiration to temperature
    Atkin, OK
    Tjoelker, MG
    [J]. TRENDS IN PLANT SCIENCE, 2003, 8 (07) : 343 - 351
  • [3] How switches and lags in biophysical regulators affect spatial-temporal variation of soil respiration in an oak-grass savanna
    Baldocchi, Dennis
    Tang, Jianwu
    Xu, Liukang
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2006, 111 (G2)
  • [4] A temporal approach to linking aboveground and belowground ecology
    Bardgett, RD
    Bowman, WD
    Kaufmann, R
    Schmidt, SK
    [J]. TRENDS IN ECOLOGY & EVOLUTION, 2005, 20 (11) : 634 - 641
  • [5] Quantifying the timescales over which exogenous and endogenous conditions affect soil respiration
    Barron-Gafford, Greg A.
    Cable, Jessica M.
    Bentley, Lisa Patrick
    Scott, Russell L.
    Huxman, Travis E.
    Jenerette, G. Darrel
    Ogle, Kiona
    [J]. NEW PHYTOLOGIST, 2014, 202 (02) : 442 - 454
  • [6] The relative controls of temperature, soil moisture, and plant functional group on soil CO2 efflux at diel, seasonal, and annual scales
    Barron-Gafford, Greg A.
    Scott, Russell L.
    Jenerette, G. Darrel
    Huxman, Travis E.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2011, 116
  • [7] Beckage B, 2003, ECOLOGY, V84, P1849, DOI 10.1890/0012-9658(2003)084[1849:SSAGOT]2.0.CO
  • [8] 2
  • [9] Bengtsson J, 2003, AMBIO, V32, P389, DOI 10.1639/0044-7447(2003)032[0389:RRADL]2.0.CO
  • [10] 2