Evaluation of Soil Quality for Different Types of Land Use Based on Minimum Dataset in the Typical Desert Steppe in Ningxia, China

Tian, Ying; Xu, Zhe; Jun, Wang; Wang, Zhanjun

doi:10.1155/2022/7506189

Cited by 9 publications

(6 citation statements)

References 65 publications

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“…Overall, vegetation restoration in the Loess Plateau significantly increased SOC ( p < 0.05). Tian et al (2022) showed that vegetation restoration had a significant impact on SOC storage; vegetation restoration directly increased carbon input into soil and thus increased soil carbon storage; further, it could indirectly improve SOC by affecting the physical and chemical properties of the soil. SOC content depends on the carbon input of vegetation litter, root exudates, dead roots, and the carbon output produced by soil respiration (Xu, Liu, et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…In the range of 1011.4-2092 m above sea level, the response ratio of SOC increased with increasing altitude. Further, in the range of 0-45 slope, the response ratio of SOC increased with increasing slope.4 | DISCUSSION4.1 | Response of SOC to vegetation restorationOverall, vegetation restoration in the Loess Plateau significantly increased SOC (p < 0.05) Tian et al (2022). showed that vegetation restoration had a significant impact on SOC storage; vegetation restoration directly increased carbon input into soil and thus increased soil carbon storage; further, it could indirectly improve SOC by affecting the physical and chemical properties of the soil.…”

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confidence: 90%

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Effects of vegetation restoration on soil organic carbon in the Loess Plateau: A meta‐analysis

Zhao

Shi

et al. 2023

Land Degrad Dev

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Vegetation restoration is one of the most effective ways to increase soil organic carbon (SOC). After the implementation of vegetation restoration policies such as the Grain‐for‐Green Program, which has increased regional vegetation coverage. However, the impact of land use, vegetation types, restoration time, and topographic and meteorological factors on SOC remains unclear. Therefore, this study examined the effect of vegetation restoration on SOC in the Loess Plateau through a meta‐analysis of 520 sample data collected from 60 research papers. The results showed that vegetation restoration in the Loess Plateau significantly increased SOC by 29.40%. Restoration time was the most important factor affecting the SOC after revegetation. Land use type was an important factor that influenced SOC; the most significant impact on SOC was found when the previous land use type was abandoned land and the current land use type was woodland. Different vegetation types resulted in different SOC as follows: Fagaceae > Salicaceae > Pinaceae > Leguminosae. Broad‐leaved forests had significantly higher SOC than that of coniferous forests. Non‐nitrogen‐fixing plants increased SOC significantly compared to nitrogen‐fixing plants. SOC decreased in 0–5 years after vegetation restoration, and then increased with the increase of restoration years. Especially, the soil carbon sequestration effect of vegetation has been significantly improved after 10 years of restoration.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 90%

Effects of vegetation restoration on soil organic carbon in the Loess Plateau: A meta‐analysis

Zhao

Shi

et al. 2023

Land Degrad Dev

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“…Каталазна активність − доволі стійкий та інформативний показник у діагностиці ґрунтів. Значення активності цього ферменту використовують під час вивчення різних типів ґрунту як для характеристики їх біологічних властивостей, так і оцінювання впливу різних чинників на екологічний стан ґрунтової системи (Ying Tian et al, 2022). Встановлено тісний зв'язок каталазної активності і кислотності ґрунту, виявлено підвищення її активності за зростання енергозапасів ґрунтів, які визначаються вмістом органічної речовини (Дем'янюк, 2017).…”

Section: вступunclassified

Anthropogenic influence on enzymatic activity of light-grey forestal surface-gleyed soil

Partyka¹,

Olifir²,

Gabryiel³

et al. 2022

Agroscience and Practice

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The critical shortage of rainfall along with the higher average temperatures during the growth and development of spring barley and corn has significantly affected the soil biological activity, in particular, the decomposition of linen was significantly slowed. Studies have shown that the lowest values of the general biological activity of light-grey forestal surface-gleyed soil under spring barley and corn on grain were obtained on the control version without fertilizers -15.65 ± 1.93 and 30.47 ± 8.05 % respectively. Organo-mineral fertilizers provided the highest decomposition of linen cloths -31.70 ± 4.58 % in soil under barley and 63.33 ± 2.43 % under corn. Light-grey forestal surface-gleyed soil is characterized as very poor on the scale of soil supply by enzymes. The highest catalase activity is marked with the introduction of 15 t/ha of manure + 0.5 n NPK+ 1.5 n CaCO3 by Nh -0.65 ml of 0.1 n KMNO4 /g of soil for 20 min under spring barley, that is associated with a favourable pH value (5.68). The highest activity for corn was shown in version 17 with mineral fertilizer N105Р101К101 and liming 1.5 n СаСО3 by Nh -0.85 ml.

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“…It is necessary to comprehensively evaluate the physical, chemical, and biological characteristics to increase the accuracy of the evaluation [9]. In recent years, many researchers have conducted extensive research on soil quality evaluation methods [10][11][12]. Model methods, such as vague mathematics and dimensionality reduction, have been introduced into soil quality research at different spatial and temporal scales including ecological restoration areas, artificial forest land, and mixed forest land [13,14].…”

Section: Introductionmentioning

confidence: 99%

Soil Quality Evaluation and Dominant Factor Analysis of Economic Forest in Loess Area of Northern Shaanxi

Qiang

Liu

et al. 2023

Forests

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Choosing economically important trees and establishing planting patterns can improve soil quality in economic forests. To clarify the soil quality status of the main economic forest land distributed in northern Shaanxi, the research object in this study was jujube and apple economic forests, and the control was grassland. By evaluating 17 soil indicators, the minimum data set (MDS) and structural equation model (SEM) were used to analyze the soil quality status and its dominant factors under different economic forests and land preparation methods. The results showed that (1) compared with grassland, the economic forest has a certain improvement and promotion in soil’s properties, mainly in the water-holding capacity and available nutrients. Compared to the undisturbed slope, the level bench had better physical and chemical properties. (2) Six indicators were identified as the minimum data set for assessing soil quality, including the soil organic carbon, saturated water content, bulk density, alkaline nitrogen, sand, and total capillary porosity. In addition, structural equation model analysis showed that the soil organic carbon, saturated water content, alkaline nitrogen, and capillary porosity were the dominant factors affecting soil quality in the study area. (3) Jujube trees exhibited the highest soil quality and the best restoration effect, followed by apple trees, while grassland had the poorest restoration effect. The soil quality of undisturbed slopes under different land preparation methods was lower than that of the level bench land preparation. The outcomes of this study are to provide data support and a theoretical basis for improving soil quality, enhancing ecological benefits, and selecting and managing economic forest species, in the study area and similar regions in the future.

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Evaluation of Soil Quality for Different Types of Land Use Based on Minimum Dataset in the Typical Desert Steppe in Ningxia, China

Cited by 9 publications

References 65 publications

Effects of vegetation restoration on soil organic carbon in the Loess Plateau: A meta‐analysis

Effects of vegetation restoration on soil organic carbon in the Loess Plateau: A meta‐analysis

Anthropogenic influence on enzymatic activity of light-grey forestal surface-gleyed soil

Soil Quality Evaluation and Dominant Factor Analysis of Economic Forest in Loess Area of Northern Shaanxi

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