Using Organic Matter and pH to Estimate the Bulk Density of Afforested/Reforested Soils in Northwest and Northeast China
References (43)
- et al.
Pedotransfer functions for estimating soil bulk density from existing soil survey reports in Brazil
Geoderma
(2007) - et al.
Effect of land use on the composition of soil organic matter in density and aggregate fractions as revealed by solid-state 13C NMR spectroscopy
Geoderma
(2006) - et al.
Soil carbon dynamics estimation and dependence on farming system in a temperate climate
Soil Till Res
(2015) - et al.
Soil carbon under switchgrass stands and cultivated cropland
Biomass Bioenergy
(2005) - et al.
Does the chemical nature of soil carbon drive the structure and functioning of soil microbial communities?
Soil Biol Biochem
(2014) - et al.
Change in soil carbon following afforestation
Forest Ecol Manag
(2002) - et al.
How to evaluate models: observed vs. predicted or predicted vs. observed?
Ecol Model
(2008) - et al.
Predicting soil bulk density for incomplete databases
Geoderma
(2014) - et al.
A comparison of the performance of nine soil organic matter models using datasets from seven long-term experiments
Geoderma
(1997) The effect of organic matter on the bulk and true densities of some uncultivated podzolic soils
J Soil Sci
(1973)
A global meta-analysis of soil exchangeable cations, pH, carbon, and nitrogen with afforestation
Ecol Appl
Forests and climate change: forcings, feedbacks, and the climate benefits of forests
Science
Quantifying laboratory and field variability to assess potential for carbon sequestration
Commun Soil Sci Plant Anal
STICS: A generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize
Agronomie
Predicting bulk density of Ohio soils from morphology, genetic principles, and laboratory characterization data
Soil Sci Soc Am. J
Contributions of land-use history to carbon accumulation in U.S. forests
Science
Predictive quality of pedotransfer functions for estimating bulk density of forest soils
Soil Sci Soc Am J
Soil organic carbon pool changes following land-use conversions
Global Change Biol
Changes in forest biomass carbon storage in China between 1949 and 1998
Science
Global forest resources assessment 2015 how are the world's forests changing?
Global agro-ecological zones assessment for agriculture (GAEZ 2008)
Cited by (23)
DAESim: A dynamic agro-ecosystem simulation model for natural capital assessment
2022, Ecological ModellingCitation Excerpt :Here bulk density is assumed to be the initial bulk density of soil samples unless otherwise specified. To monitor the changes of the bulk density over time, we refer to the study of Yue et al. (2017) to estimate the dynamics of bulk density based on soil pH and the percentage of organic matter, which states how bulk density goes down and organic matter goes up. This dynamic bulk density feedback is also a key addition in DAESim that would show accelerating positive or negative multi-year effects on plant growth.
Phthalate pollution and migration in soil-air-vegetable systems in typical plastic agricultural greenhouses in northwestern China
2022, Science of the Total EnvironmentDeterminations of environmental factors on interactive soil properties across different land-use types on the Loess Plateau, China
2020, Science of the Total EnvironmentCitation Excerpt :Li and Shao (2014) demonstrated that BD has close relations with soil texture and SOC. Chen et al. (2017) found that pH is a determining factor on BD. Jiao et al. (2016) showed that an increase in soil pH significantly affects C, N, P and their balance in a grassland.
Evaluating pedotransfer functions for predicting soil bulk density using hierarchical mapping information in Campania, Italy
2020, Geoderma RegionalCitation Excerpt :Moreover, they report a negative correlation between BD and terrain attributes (elevation, solar radiation, and slope). The following comments in some ways help explain this drawback: i) among the articles reporting details on measurement procedures, few PTFs measured BD by including rock fragments (Federer, 1983; Hallet et al., 1998; Prévost, 2004; Akpa et al., 2016) while most considered only the weight of the fine soil by excluding the weight of rock fragments; ii) few PTFs were based on sampling volumes close to the experimental volume of 285 cm3 used in this study (Hallet et al., 1998; Calhoun et al., 2001; Nanko et al., 2014); iii) most of the published PTFs were developed by using soil samples collected in land covered mainly by forests, uncultivated or mixed land cover, (Jalabert et al., 2010; Chen et al., 2017), and consequently few PTFs are based on soil samples taken from arable land (i.e., Ruehlmann and Körschens, 2009); iv) published PTFs cover different spatial scales (from plot to continental) and different soil types, leading to different statistical distribution and ranges of BD values. To check whether the overall performance of the tested PTFs can be improved, and to what extent, we suggest that sub-datasets be grouped according to available hierarchical mapping units.
Distribution of soil organic carbon in Wadi Al-Thulaima, Saudi Arabia: A hyper-arid habitat altered by wastewater reuse
2018, CatenaCitation Excerpt :The sample containers were sealed with parafilm and stored on ice until the analysis to prevent volatilization losses and reduce microbial activity (Bernal and Mitsch, 2008). SOM was recalculated to SOC by multiplying with a factor 0.58 (Yue et al., 2017}. Before performing analysis of variance (ANOVA), the data were tested for their normality of distribution and homogeneity of variance, and when necessary, data were log-transformed.