2018
DOI: 10.1016/j.scitotenv.2018.05.061
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Quantitative assessment of soil productivity and predicted impacts of water erosion in the black soil region of northeastern China

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Cited by 116 publications
(55 citation statements)
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“…These results are in line with previous studies [39,40]. It has been proposed that the chernozem soils had higher SOM abundance than the cinnamon, red and paddy soils on a countrywide scale [41], which was also observed in the present study. Lower input of organic matter and stronger decomposition of SOM may contribute to the lower SOM in the cropped soils than in the natural soils (Table 1) [42].…”
Section: Effect Of Soil Types On the Spectral Characteristics Of Soilsupporting
confidence: 94%
“…These results are in line with previous studies [39,40]. It has been proposed that the chernozem soils had higher SOM abundance than the cinnamon, red and paddy soils on a countrywide scale [41], which was also observed in the present study. Lower input of organic matter and stronger decomposition of SOM may contribute to the lower SOM in the cropped soils than in the natural soils (Table 1) [42].…”
Section: Effect Of Soil Types On the Spectral Characteristics Of Soilsupporting
confidence: 94%
“…On the other hand, the productivity of soils not only related to its pedoginic and physicochemical characters; but, several factors (e.g. land use policies, soil tillage, manures and fertilizers application, irrigation as well as soil and water conservation against degradation potentials (Gu et al, 2018). Consequently, research studies onto soil productivity deterioration have attracted research attention, especially under climatic change threats.…”
Section: Introductionmentioning
confidence: 99%
“…Most research in China has looked at the conceptual models and theoretical systems in cultivated land productivity [19][20][21], mainly at the macro or meso spatial scales [22][23][24][25]. Researchers have calculated cultivated land productivity and have analyzed the differences in time and space and the influencing factors [25] based on the results of grading agricultural land [26], evaluating cultivated land quality [27] and testing regional yields [28] through the potential decay method, improved agricultural ecological zoning and the agro-ecological zone model [24,29,30], or building a new cultivated land productivity evaluation system [31]. However, most of these calculations of cultivated land productivity that are based on grading agricultural land are deficient in their evaluation because of a lack of indexes reflecting the technical level of regional agriculture.…”
Section: Introductionmentioning
confidence: 99%