Evaluation of soil quality using multiple lineal regression based on physical, chemical and biochemical properties

Zornoza, Raúl; Mataix-Solera, Jorge; Guerrero, C.; Arcenegui, Victoria; García‐Orenes, Fuensanta; Mataix‐Beneyto, J.; Morugán, A.

doi:10.1016/j.scitotenv.2007.01.052

Cited by 71 publications

(58 citation statements)

References 9 publications

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“…Multiple linear regression (MLR) is one of those commonlyused methods in early time (Odeh and Mcbratney, 2000;Zornoza et al, 2007;Qiu et al, 2003;Chung and Alexander, 2002;Moore et al, 1993), and is usually used as a basic model comparing with other mapping methods (Zhu et al, 2010;Lesch et al, 1995;Qin et al, 2012;Song et al, 2016). The desirability for linear regression methods lies in its simplicity, easy to apply.…”

Section: Introductionmentioning

confidence: 99%

Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method

et al. 2016

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The present regression models in digital soil mapping usually assume that relationships between soil properties and environmental variables are always fixed (as in MLR) or varying (as in GWR) in geographical space. In reality, some of the environmental variables may be fixed in affecting soil property variation and some are local varying. In this study, a mixed geographically weighted regression (MGWR) method which can deal with fixed and varying spatial relationships between a target variable and its environmental variables were proposed and used to predict topsoil soil organic matter (SOM) concentration in two study areas (Heshan, Heilongjiang province and Xuancheng, Anhui province, China) at two scales. Three groups of sample sets were created based on the total samples in the study areas to evaluate the robustness and stability of the model. Multiple linear regression (MLR), geographically weighted regression (GWR), GWR-kriging (GWRK), local regression-kriging (LRK), kriging with an external drift (KED), and ordinary kriging (OK) were used for comparison with MGWR. The validation results showed that the use of MGWR reduced the RMSE of GWR by 10.5% and 7.6% on average, reduced the RMSE of MLR by 12.8% and 9.9% on average for Heshan and Xuancheng study areas respectively. MGWR also showed a good competitiveness when compared with GWRK, LRK, KED and OK. In Heshan study area, the influence of flow length, relative position index, foot slope and distance to the nearest drainage were constant, whereas the elevation, topographic wetness index and valley index showed different influence in different regions. In Xuancheng study area, the fixed environmental variables were profile curvature, topographic wetness index and slope, whereas the varying environmental variables were precipitation, temperature, elevation, and limestone. The results indicate that the accuracy of predictions can be improved by adaptive coefficient according to the variation of environmental variables as implemented in MGWR compared with others considering only the local or global relationships. It was concluded that mixed geographically weighted regression model could be a potential method for digital soil mapping.

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Section: Introductionmentioning

confidence: 99%

Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method

et al. 2016

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“…The soil quality index provides a useful tool to those in or land usage management such as those responsible for forest rehabilitation programs, to examine the physical, chemical and biological properties of soil that change according to forest management practices (Masto et al, 2007;Zornoza et al, 2007). Many soil quality indices have been published or proposed, yet there is still no concrete index for evaluating soils around the world due to the variability and diversity of soils (Glover et al, 2000;Borken and Beese, 2002).…”

Section: Resultsmentioning

confidence: 99%

“…Table 1 shows some of the soil indices available in the literature. Soil index developed by Zornoza et al (2007) is based on soil order properties analysed and proposed to be suitable to quantified soil quality in the same soil series. Puglisi et al (2006) carried out in depth study of using phospholipid to measure soil quality status or changes.…”

Section: Introductionmentioning

confidence: 99%

Proposed Soil Quality Index for Rehabilitated Tropical Forest Sites in Malaysia

Karam¹,

Abdu²,

Rajoo³

et al. 2017

American Journal of Applied Sciences

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A proposed soil quality index named Tropical Soil Quality Index 2 (TSQI2) was developed in this study using statistical analysed data of selected properties (physical, chemical and biological) of composite soil samples collected from natural, secondary and rehabilitated forests of Chikus and Tapah Hill Forest Reserves, Perak, Malaysia. Results of soil evaluation using TSQI2 showed higher values for planted forest in Chikus Forest Reserve compared to those of the rehabilitated forest in Tapah Hill Forest Reserve. Likewise, rehabilitated forest of Tapah Hill Forest Reserve had slightly higher index value compared to that of the secondary forest. The higher index for rehabilitated Chikus Forest Reserve compared to that of the natural forest was due to high MBC/MBN ratio values. The reason for this condition was the lower amount of microbial biomass nitrogen as compared to microbial biomass carbon. Plant growth performance of dominant trees species showed that Shorea leprosula was high in natural forests, followed by rehabilitated forest of Tapah Hill Forest Reserve. The newly proposed TSQI2 (which had been validated using actual data) is suitable for determining the quality of natural and rehabilitated forests in tropical regions.

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“…Continuous soil tillage and the incorporation of organic residues or fertilisation could provoke alteration in some soil properties: organic matter, aggregate stability and enzyme activity (Caravaca et al, 2002;Gardi et al, 2002). Any disturbance in soil properties is usually accompanied by a loss of soil quality (Zornoza et al, 2007a). The evaluation of soil quality could be helpful to assess the level of disturbance in agricultural soils and useful in deciding the best alternative to having an adequate crop production preserving the soil quality (Karlen et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

“…We used two indices, developed by Zornoza et al (2007a), to evaluate the effects of medium and long-term irrigation with treated wastewater on the soil quality of some agricultural soils of SE Spain.…”

Section: Introductionmentioning

confidence: 99%

Application of soil quality indices to assess the status of agricultural soils irrigated with treated wastewaters

et al. 2013

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Abstract. The supply of water is limited in some parts of the Mediterranean region, such as southeastern Spain. The use of treated wastewater for the irrigation of agricultural soils is an alternative to using better-quality water, especially in semi-arid regions. On the other hand, this practice can modify some soil properties, change their relationships and influence soil quality. In this work two soil quality indices were used to evaluate the effects of irrigation with treated wastewater in soils. The indices were developed studying different soil properties in undisturbed soils in SE Spain, and the relationships between soil parameters were established using multiple linear regressions. These indices represent the balance reached among properties in "steady state" soils. This study was carried out in four study sites from SE Spain irrigated with wastewater, including four study sites. The results showed slight changes in some soil properties as a consequence of irrigation with wastewater, the obtained levels not being dangerous for agricultural soils, and in some cases they could be considered as positive from an agronomical point of view. In one of the study sites, and as a consequence of the low quality wastewater used, a relevant increase in soil organic matter content was observed, as well as modifications in most of the soil properties. The application of soil quality indices indicated that all the soils of study sites are in a state of disequilibrium regarding the relationships between properties independent of the type of water used. However, there were no relevant differences in the soil quality indices between soils irrigated with wastewater with respect to their control sites for all except one of the sites, which corresponds to the site where low quality wastewater was used.

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Evaluation of soil quality using multiple lineal regression based on physical, chemical and biochemical properties

Cited by 71 publications

References 9 publications

Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method

Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method

Proposed Soil Quality Index for Rehabilitated Tropical Forest Sites in Malaysia

Application of soil quality indices to assess the status of agricultural soils irrigated with treated wastewaters

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