Soil quality assessment of different Camellia oleifera stands in mid-subtropical China

Liu, Jie; Wu, Lichao; Chen, D.; Li, Ming; Wei, Changjiang

doi:10.1016/j.apsoil.2017.01.010

Cited by 88 publications

(56 citation statements)

References 20 publications

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“…is one of the world's four main woody edible oil crops, with a long cultivation history and wide cultivation area in subtropical China [17] due to the beneficial effects of its oil on human health [18]. C. oleifera is mainly cultivated in Typic Hapludult Ultisols (red soil) with lower soil fertility [17,19]. Therefore, intensive N input has been used to increase the yield of C. oleifera oil.…”

Section: Introductionmentioning

confidence: 99%

Biochar Is Comparable to Dicyandiamide in the Mitigation of Nitrous Oxide Emissions from Camellia oleifera Abel. Fields

Deng

Fang

Jiang³

et al. 2019

Forests

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Research Highlights: Intensive nitrogen (N) application for agricultural purposes has substantially increased soil nitrous oxide (N2O) emissions. Agricultural soil has great potential in the reduction of N2O emissions, and applications of biochar and nitrification inhibitors may be useful for mitigating agricultural soil N2O emissions. Background and Objectives: Camellia oleifera Abel. is an important woody oil plant in China. However, intensive N input in C. oleifera silviculture has increased the risk of soil N2O emissions. As an important greenhouse gas, N2O is characterized by a global warming potential at a 100-year scale that is 265 times that of carbon dioxide. Thus, mitigation of soil N2O emissions, especially fertilized soils, will be crucial for reducing climate change. Materials and Methods: Here, we conducted an in situ study over 12 months to examine the effects of C. oleifera fruit shell-derived biochar and dicyandiamide (DCD) on soil N2O emissions from a C. oleifera field with intensive N application. Results: A three-fold increase of cumulative soil N2O emissions was observed following N application. Cumulative N2O emissions from the field with N fertilization were reduced by 36% and 44% with biochar and DCD, respectively. While N2O emissions were slightly deceased by biochar, the decrease was comparable to that by DCD. Conclusions: Results indicated that biochar may mitigate soil N2O emissions substantially and similarly to DCD under specific conditions. This result should be examined by prolonged and multi-site studies before it can be generalized to broader scales.

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Section: Introductionmentioning

confidence: 99%

Biochar Is Comparable to Dicyandiamide in the Mitigation of Nitrous Oxide Emissions from Camellia oleifera Abel. Fields

Deng

Fang

Jiang³

et al. 2019

Forests

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“…Several recent studies have focused on detecting soil parameters that can be used as soil quality indicators in topsoil (Liu et al, 2017). Results have demonstrated that some well-known chemical and physical properties have significant correlations.…”

Section: Introductionmentioning

confidence: 99%

The use of multivariate statistical analysis and soil quality indices as tools to be included in regional management plans. A case study from the Mashhad Plain, Iran

Rodrigo‐Comino

Keshavarzi

Bagherzadeh

et al. 2019

CIG

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Several methods have been used to model reality and explain soil pedogenesis and evolution. However, there is a lack of information about which soil properties truly condition soil quality indicators and indices particularly at the pedon scale and at different soil depths to be used in land management planning. Thus, the main goals of this research were: i) to assess differences in soil properties (particle size, saturation point, bulk density, soil organic carbon, pH and electrical conductivity) at different soil depths (0-30 and 30-60 cm); ii) to check their statistical correlation with soil quality indicators (CEC, total N, Olsen-P, available K, exchangeable Na, calcium carbonate equivalent, Fe, Mn, Zn, and Cu); and, iii) to elaborate a soil quality index and maps for each soil layer. To achieve this, forty-eight soil samples were analysed in the laboratory and subjected to statistical analyses by ANOVA, Spearman Rank coefficients and Principal Component Analyses. Finally, a soil quality index was developed based on indicators of sensitivity. The study was conducted in a semiarid catchment in northeast Iran with irrigated farming and well-documented land degradation issues. We found that: i) organic carbon and bulk density were not similar in the topsoil and subsoil; ii) calcium carbonate and sand content conditioned organic carbon content and bulk density; iii) organic carbon showed the highest correlations with soil quality indicators; iv) particle size conditioned cation-exchange capacity; and, v) heavy metals such as Mn and Cu were highly correlated with organic carbon due to non-suitable agricultural practices. Based on the communality analysis to map of soil quality, CEC, Mn, Zn, and Cu had the highest weights (≥0.11) at both depths, coinciding with the same level of relevance in the multivariate analysis. Exchangeable Na, CaCO3, and Fe had the lowest weights (≤0.1) and N, P, and K had intermediate weights (0.1- 0.11). In general, the map of the soil quality index shows a lower soil quality in the subsoil increment than in the topsoil.

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“…Soil fertility is essential for ensuring soil quality [10], and a scientific and objective evaluation method is the premise of soil fertility evaluation. The traditional methods of the comprehensive evaluation of soil fertility include the principal component analysis (PCA) method [11], cluster analysis (CA) method [12], grey relational analysis (GRA) model [13], fuzzy comprehensive evaluation (FCE) method [14], and matter-element (ME) model [15]. These methods are used to evaluate soil fertility, which can effectively realize the conversion of soil fertility quantitative indexes and qualitative language expressions.…”

Section: Introductionmentioning

confidence: 99%

Application of Cloud Model to Evaluation of Forest Soil Fertility: A Case in Chinese Fir Plantations in Southern China

et al. 2019

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Soil nutrients are of great significance for maintaining forest growth and ensuring land productivity. A comprehensive scientific evaluation of soil fertility is helpful for sustainable forest management. There are many uncertainties in traditional evaluation methods, that is fuzziness and randomness, which often lead to a large deviation of the evaluation results. In order to comprehensively consider the fuzziness and randomness of soil fertility evaluation, the cloud model was introduced to evaluate the soil fertility of Chinese fir plantations. The cloud model is an uncertain transformation model which can combine a qualitative description with a quantitative calculation as well as reflect the randomness and fuzziness of the principle. It is an effective tool for realizing qualitative and quantitative conversion. The accuracy of the model was evaluated with the Namerow integrated index method, and the results were compared with previous studies. The results showed that the soil fertility was grade II (Ex = 0.653), medium; soil pH was grade II (Ex = 4.59), strongly acidic; soil organic matter (OM) was grade V (Ex = 33.40), rich; total nitrogen (TN) was grade V (Ex = 1.53), rich; total phosphorus (TP) was grade III (Ex = 0.49), poor; total potassium (TK) was grade IV (Ex = 17.10), medium; available nitrogen (AN) was grade V (Ex = 128.30), rich; available phosphorus (AP) was grade II (Ex = 4.10), very poor; and available potassium (AK) was grade III (Ex = 52.73), poor. The degree of artificial influence of soil nutrients in Chinese fir plantations was ranked AN > AK > OM > TK > pH > TN > TP = AP. The soil fertility of the Chinese fir plantation was comprehensively evaluated by the cloud model and the evaluation results were unbiased and reliable. This method makes up for the shortcomings of traditional methods and provides new ideas for soil fertility evaluation. We suggest that this cloud model could be extended to other regions in the future and hope that there will be an article to compare several different statistical techniques.

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Soil quality assessment of different Camellia oleifera stands in mid-subtropical China

Cited by 88 publications

References 20 publications

Biochar Is Comparable to Dicyandiamide in the Mitigation of Nitrous Oxide Emissions from Camellia oleifera Abel. Fields

Biochar Is Comparable to Dicyandiamide in the Mitigation of Nitrous Oxide Emissions from Camellia oleifera Abel. Fields

The use of multivariate statistical analysis and soil quality indices as tools to be included in regional management plans. A case study from the Mashhad Plain, Iran

Application of Cloud Model to Evaluation of Forest Soil Fertility: A Case in Chinese Fir Plantations in Southern China

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