Ecosystem services-based soil quality index tailored to the metropolitan environment for soil assessment and management

Hyun, Junge; Kim, You Jin; Kim, Ara; Plante, Alain F.; Yoo, Gayoung

doi:10.1016/j.scitotenv.2022.153301

Cited by 29 publications

(6 citation statements)

References 64 publications

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“…Objective weighting methods have received more attention than subjective methods because the importance of the attributes is calculated only from the data in the decision table. As these methods are more objective and accurate, they became popular for research and practices of soil quality evaluation (Hyun et al, 2022; Nabiollahi et al, 2018; Zhang et al, 2022). To combine the advantages of both, our approach considers both attribute and DMs weights, subjective preferences, and objective weights and combines them effectively.…”

Section: Discussionmentioning

confidence: 99%

Land use evaluation considering soil properties and agricultural infrastructure in black soil region

Ren,

Song,

et al. 2023

Land Degrad Dev

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Systematic assessment of arable land use is a fundamental prerequisite to explore its sustainable development path. Agricultural infrastructure integrated with the tillage conditions and soil properties was used to evaluate the state of regional arable land use and its potential for sustainable productivity. We propose a combined weighting method integrating Delphi and entropy weights to consider both decision objectives and indicator attributes. The proposed approach takes into account both expertise and data feature, making the evaluating results more rational and applicable. The impacts of large‐scale land use change and regional urban distribution on soil properties and agricultural infrastructure were also explored to develop more rational and differentiated conservation strategies. Our evaluation showed that 44% and 48% of the soil properties of arable land in Heilongjiang Province, China, are in the excellent or good grades, respectively, meaning that no or only minor remediation measures are needed to achieve optimum conditions. Agricultural infrastructure deserves more attention from the management than soil properties, as only 16% and 24% of area have the same excellent and good grades. The results of the evaluation with a combination of subjective and objective weights are closer to a normal distribution curve than if only expert weights are used, which confirms our hypothesis that the new weighting method is more reasonable. The newly proposed weighted design method and index provide a better understanding of the sustainable productivity of agricultural areas and have a promising application in large‐scale black soil areas worldwide. The future rough growth strategy for resources will result in degradation and posed risks to regional ecological conservation. At the provincial level (up to 130 km), agricultural infrastructure declines and then rises as fields move away from cities, with the inflection point at 55 km. State‐owned farms are mainly responsible for this inflection point, which shift the agents of arable land from small farmers to large capital, with remote arable land receiving more investment. The impact mechanisms of urbanization should be deeper explored to address the challenges for arable land conservation.

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Section: Discussionmentioning

confidence: 99%

Land use evaluation considering soil properties and agricultural infrastructure in black soil region

Ren,

Song,

et al. 2023

Land Degrad Dev

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“…The results indicated that the F. carica root extract might contain antibacterial substances, which could improve the microecological environment and physical and chemical properties of T. cuspidata soil and promote the growth and development of plants. It may also be that F. carica root extract has a strong ability to absorb inorganic nitrogen, which increases the soil pH of T. cuspidata, changes soil physical and chemical properties, and maintains soil fertility [34]. The lowest EC was found in F. carica root extract with a concentration of 20.0 g•L −1 for 30 days, which could significantly reduce the soil EC of T. cuspidata (p < 0.05) and was 5.80% lower than that of the control.…”

Section: Effects Of F Carica Water Extract On Soil Properties Of T Cu...mentioning

confidence: 99%

Effects of Ficus carica L. Water Extract on Taxus cuspidata Sieb. et Zucc. Growth

Li,

Huang,

Yang

et al. 2023

Forests

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Our research group successfully designed the F. carica and Taxus cuspidata Sieb. et Zucc mixed forest, and confirmed that their interspecific relationship was stable and F. carica has a promoting effect on neighboring T. cuspidata growth. However, the promoting mechanism has not been elucidated. In this study, F. carica was used as the donor plant and T. cuspidata was used as the recipient plant. T. cuspidata seedlings were irrigated with F. carica root extracts of different concentrations (10.0, 20.0, 40.0 g·L−1), and the plant height, base diameter, photosynthetic parameters, photosynthetic pigments, MDA contents, and antioxidant enzyme activities were measured. Soil physical and chemical properties, enzyme activities, and microbial diversity were measured. The results showed that the abundance of growth-promoting bacteria increased and the number of pathogenic bacteria decreased in the rhizosphere of T. cuspidata soil. It was speculated that the chemicals secreted by F. carica roots interacted with soil microorganisms of T. cuspidata soil after enrichment, changed soil microbial diversity, and indirectly promoted the growth of T. cuspidata. UPLC-QTOF-MS/MS was used to analyze F. carica root water extract and F. carica root exudates, respectively, and it was found that the main components were similar. Therefore, the promoting effect of F. carica on T. cuspidata is mainly caused by the accumulation of potential chemicals in F. carica root exudates in the soil through interaction with soil microorganisms. Furthermore, the allelopathic-promoting mechanism of F. carica on T. cuspidata was discussed from various aspects, to provide a theoretical basis for the protection, breeding, and sustainable management of T. cuspidata resources.

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“…The Principal Component Analysis (PCA) method will group indicators from soil chemical properties, soil physics, and soil biology into Main Components (PC), then choose indicators that represent soil quality index calculations [8]. The calculation of the soil quality index in agroforestry systems is important to determine the impact of tillage and recommend appropriate tillage practices [12].…”

Section: Introductionmentioning

confidence: 99%

Status of soil quality in various agroforestry systems in banyurip village jenar district sragen regency

Supriyadi,

Purwanto,

Hartati

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Agroforestry consists of various land covers that produce litter, which results in the addition of organic matter to the soil and improves soil quality. This study aims to determine the status of soil quality in various agroforestry systems by calculating the soil quality index in various agroforestry systems. This research was conducted in Banyurip Village, Jenar District, Sragen Regency, Indonesia. This research was conducted on various agroforestry systems, namely teak agroforestry, teak-sacha inchi agroforestry, and sacha inchi monoculture, as well as land that does not apply agroforestry systems. A total of nine indicators were used, and then the indicators were tested with principal component analysis using Minitab 18 to select the minimum data set. The indicators were chosen as soil humidity, bulk density, porosity, CEC, soil total N, soil organic C, and microbial biomass C. The highest soil quality indexes in teak agroforestry and teak-sacha inchi agroforestry were 0.22. The highest soil quality index in teak agroforestry and teak-sacha inchi agroforestry each was 0.22, and the soil quality index in sacha inchi monocultur was 0.20. The soil quality of the three types of agroforestry is low because the soil quality index ranges from 0.2-0.39.

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Ecosystem services-based soil quality index tailored to the metropolitan environment for soil assessment and management

Cited by 29 publications

References 64 publications

Land use evaluation considering soil properties and agricultural infrastructure in black soil region

Land use evaluation considering soil properties and agricultural infrastructure in black soil region

Effects of Ficus carica L. Water Extract on Taxus cuspidata Sieb. et Zucc. Growth

Status of soil quality in various agroforestry systems in banyurip village jenar district sragen regency

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