ESTIMATES OF FACTORS DIRECTLY RELATED TO FINE ROOT LONGEVITY USING A HIERARCHICAL BAYESIAN MODEL by

نویسندگان

  • Siyao Zhang
  • Seth Pritchard
  • Ram Oren
چکیده

Fine root longevity, measured using minirhizotrons, range from days to years (Hendrick & Pregitzer, 1992; Eissenstat et al., 2000). Although there are several hypotheses that relate to root tissue lifespan (Ryser, 1996), very few long-term studies have examined the factors that may be directly related to survivorship of individual roots. It is known that atmospheric CO2, which is the major greenhouse gas, directly affects plant photosynthesis and water use. As an important plant tissue that acquires water and nutrients, fine roots may limit the forest productivity by limiting plant absorptive capacity under the enriched atmospheric CO2 concentration. Moreover, the turnover time of fine roots, which are the major component of carbon input to the soil carbon pool, may respond to this enriched CO2 effect and thus have impact on belowground carbon balance. Free air CO2 enrichment (FACE) facilities enable research on the effects of elevated atmospheric CO2 concentrations over extended periods of time at ecosystem scale. By using a hierarchical Bayesian model with covariance variable estimates, we were able to identify this CO2 effect as well as several other covariates that correlate with fine root persistence. According to our result, enriched CO2 did not have an immediate effect on fine-root longevity; rather, it increased longevity with time over the 8.2-year study period. Furthermore, fine root longevity increased with soil depth, yet the effects of CO2-enrichment on longevity decreased with increasing depth. Coarser roots and roots grown in plots with higher N-mineralization rate had longer life spans. Nitrogen fertilization enhanced fine-root lifespan only in CO2-enriched plots.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بررسی اثر عوامل ژنتیکی و غیرژنتیکی بر طول عمر گوسفندان مهربان

     Longevity records of 26991 Mehraban lambs born from 405 sires and 8114 dams which collected by the Agricultural Organization of Hamedan Province during 1981 to 2011 were used in this study. To determine the fixed effects fitted in statistical model (birth year, birth month, type of birth, age of dam, flock, lamb sex and lamb birth weight and their interactions), the GLM procedure of SAS so...

متن کامل

Comparison of Estimates Using Record Statistics from Lomax Model: Bayesian and Non Bayesian Approaches

This paper address the problem of Bayesian estimation of the parameters, reliability and hazard function in the context of record statistics values from the two-parameter Lomax distribution. The ML and the Bayes estimates based on records are derived for the two unknown parameters and the survival time parameters, reliability and hazard functions. The Bayes estimates are obtained based on conju...

متن کامل

Fine root heterogeneity by branch order: exploring the discrepancy in root turnover estimates between minirhizotron and carbon isotopic methods.

Fine roots constitute a large and dynamic component of the carbon cycles of terrestrial ecosystems. The reported fivefold discrepancy in turnover estimates between median longevity (ML) from minirhizotrons and mean residence time (MRT) using carbon isotopes may have global consequences. Here, a root branch order-based model and a simulated factorial experiment were used to examine four sources ...

متن کامل

The Analysis of Bayesian Probit Regression of Binary and Polychotomous Response Data

The goal of this study is to introduce a statistical method regarding the analysis of specific latent data for regression analysis of the discrete data and to build a relation between a probit regression model (related to the discrete response) and normal linear regression model (related to the latent data of continuous response). This method provides precise inferences on binary and multinomia...

متن کامل

Structural Equations Modeling of Hidden Genetic Constructs of Production, Reproduction and Longevity in Holstein Cows in Iran

     In structural equation modeling, it is possible to create hidden variables that cannot be directly measured by the researcher. The aim of this study was to model the structural equations of hidden genetic constructs of production, reproduction and longevity of Holstein dairy cows in Iran using breeding value of the traits that make up these constructs. Accordingly, the breeding value of th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008