Spatial distribution and quantitative source identification of nutrients and beneficial elements in the soil of a typical suburban area, Beijing

Zhang, Qin-Rui; Zhang, Shengqiang; Huang, Yong; Li, Huan; Jia, Yan-Hui; Li, Jun; Yuan, Guo‐Li

doi:10.1007/s10661-022-10849-4

Cited by 6 publications

(2 citation statements)

References 43 publications

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“…Soil parent material, atmospheric deposition, and biological processes are the primary sources of nutrients entering into the natural environment (Kumpiene et al, 2019;Wang et al, 2019;Zhang et al, 2023). A limited area with high nutrient concentrations but low stability results from nutrients that are obtained from human activities, such as artificial fertilization, industrial emissions, and waste discharges.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution and quantification of plant-available nutrients and soil properties in Punjab, Pakistan

Rebi,

Wang,

Hussain

et al. 2023

Preprint

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The quantification and spatial distribution of nutrients are crucial for agriculture production and protection. However, locally quantifying these soil variables is challenging in areas where transitions change over short distances, making correct land-use management difficult. This research paper aimed to quantify and analyze the spatial distribution of micronutrients (zinc, copper, iron, manganese and boron), macronutrients (potassium and phosphorus), as well as soil characteristics (electrical conductivity, pH, organic matter, and soil saturation) in the agricultural districts of Sahiwal and Sargodha in Punjab, Pakistan. The mean available phosphorus (AP) concentrations ranged from 7.37 to 7.00 mg/kg in Sahiwal and Sargodha, respectively, falling below the permissible range in both regions. Conversely, potassium (K) levels were within the recommended range, with values ranging from 110 to 280 mg/kg in Sahiwal but lower in Sargodha. Zinc (Zn) concentrations ranged from 1.6 to 0.4 mg/kg in Sahiwal and 1.8 to 0.3 mg/kg in Sargodha, with acceptable levels in Sahiwal but not in Sargodha. Copper (Cu) concentrations in both regions met acceptable standards. Mean iron (Fe) values were 5.6 and 5.2 mg/kg in Sahiwal and Sargodha, respectively, exceeding the limit in Sahiwal but falling below in Sargodha. Manganese (Mn) concentrations were acceptable in Sargodha but low in Sahiwal while boron (B) levels were below acceptable thresholds in several Sargodha samples but within limits in Sahiwal. Some Sahiwal samples exhibited excessively high pH, unlike in Sargodha. Nevertheless, both areas adhered to permissible soil saturation levels, except for one Sahiwal sample with elevated electrical conductivity (EC). Soil organic matter (SOM) content ranged from 0.57% to 0.52% in Sahiwal and Sargodha, respectively, with the majority of samples from both regions falling below permissible SOM ranges. The results suggest that quantity and spatial distribution are affected by locality, and therefore, exciting land-use management protocols should be adopted for spatial distribution and changes, not just absolute quantities. This study provides practical recommendations for farmers, researchers, and policymakers to enhance agricultural production and sustainability in Sahiwal and Sargodha.

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Section: Introductionmentioning

confidence: 99%

Spatial distribution and quantification of plant-available nutrients and soil properties in Punjab, Pakistan

Rebi,

Wang,

Hussain

et al. 2023

Preprint

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“…Despite proximity to water sources, last-mile connectivity to arable land emerged as a signi cant limitation for food production at the three sites. Plans to promote food production should take into account strategies to manage nutrient ows in soil and water(Chang et al 2014, Zhang et al 2023. Excess runoff of agricultural enrichment materials may pose risks to water quality and safety.…”

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confidence: 99%

Appraising peri-urban food production in Durban, South Africa, with Participatory Geographic Information Systems (PGIS)

SARDESHPANDE,

Bangira,

MATONGERA

et al. 2023

Preprint

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Rapid urbanisation, particularly in the Global South, calls for more efficient and equitable food supply in urban and peri-urban areas. Peri-urban food production can be a source of affordable, fresh, and nutritious food, and can provide a departure from conventional forms of cropping. A number of social, ecological, and economic variables influence the feasibility of peri-urban food production. This study uses participatory mapping and geographic information systems (GIS) to assess these variables, and to map suitable spaces and crop configurations for peri-urban food production at three sites on the periphery of eThekwini metropolitan municipality (Durban) in South Africa. We find that land tenure and livelihood opportunities factor into socioeconomic preferences for peri-urban food production. Topography and soil quality are ecological factors that significantly influence feasibility of peri-urban food production, and access to water and roads also influence economic viability. Our study finds that while GIS techniques can identify land suitability, participatory mapping adds local fine-scale context to better inform decision-making and investment in peri-urban farming. Based on the social-ecological conditions at the three sites, we suggest specific configurations of locally adapted foods and farm design for peri-urban food production.

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Comprehensive assessment of soil quality in various land uses: a comparative analysis of soil quality index models

Emami,

Chavoshi,

Ayoubi

et al. 2024

Environ Earth Sci

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Spatial distribution and quantitative source identification of nutrients and beneficial elements in the soil of a typical suburban area, Beijing

Cited by 6 publications

References 43 publications

Spatial distribution and quantification of plant-available nutrients and soil properties in Punjab, Pakistan

Spatial distribution and quantification of plant-available nutrients and soil properties in Punjab, Pakistan

Appraising peri-urban food production in Durban, South Africa, with Participatory Geographic Information Systems (PGIS)

Comprehensive assessment of soil quality in various land uses: a comparative analysis of soil quality index models

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