scholarly journals The impact of traditional land use management on soil quality in Northeastern Himalayas (India)

2021 ◽  
Vol 94 (1) ◽  
pp. 91-109
Author(s):  
Gaurav Mishra ◽  
Jesús Rodrigo-Comino
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Soil Depth ◽  
Principal Component ◽  
Exchange Capacity ◽  
Exchangeable Cations ◽  
Land Use Management ◽  
Soil Quality Index ◽  
Land Use Types ◽  
The Impact

n the Northeast Himalayas (NEH) region, four major conventional land-use types are forest, Jhum lands, fallow Jhum lands and plantations, but little is known about their sustainability and responses to changes. We collected soil samples at two uniform depths (0-15 and 15-30 cm) from the Zunheboto district of Nagaland (India). The dataset was statistically analyzed by conducting an ANOVA-one way, principal component analysis (PCA) and calculating an additive soil quality index (SQIa). Our results confirmed that sand content, bulk density (BD), porosity, soil organic carbon (SOC), cation exchange capacity (CEC), exchangeable calcium and potassium showed significant statistical differences among soil depths depending on the land use management. PCA results showed that soil texture, BD, porosity, SOC and exchangeable cations could be consideredthe major indicators to define soil quality. After estimating the SQIa, Jhum soils showed the highest values at the surface, while at 15-30 cm soil depth, fallow Jhum soils phase showed the highest ones. The conversion from natural forest to plantation does not hamper the SQ, but their conversion into Jhum may even increase it, for a shorter duration. However, after 1-2 year of cultivation and conversion from Jhum into fallow Jhum land, soil quality could be reduced.

scholarly journals Assessing Soil Quality for Sustainable Cropland Management Based on Factor Analysis and Fuzzy Sets: A Case Study in the Lhasa River Valley, Tibetan Plateau

2018 ◽  
Vol 10 (10) ◽  
pp. 3477 ◽  
Author(s):  
Fuqiang Dai ◽  
Zhiqiang Lv ◽  
Gangcai Liu
Keyword(s):  
Land Use ◽  
Tibetan Plateau ◽  
Soil Quality ◽  
Quality Index ◽  
Soil Types ◽  
The Tibetan Plateau ◽  
Soil Quality Index ◽  
Total N ◽  
Organic C ◽  
Land Use Types

Ecologically fragile cropland soils and intensive agricultural production are characteristic of the valley area of the Tibetan Plateau. A systematic assessment of soil quality is necessary and important for improving sustainable cropland management in this area. This study aims to establish a minimum data set (MDS) for soil quality assessment and generate an integrated soil quality index for sustainable cropland management in the Tibetan Plateau. Soil samples were collected from the 0–20 cm depths of agricultural land in the middle and lower reaches of the Lhasa River. These samples were analyzed by routine laboratory methods. Significant differences were identified via statistical test between different soil types and land use types for each soil property. Principal component analysis was used to define a MDS of indicators that determine soil quality. Consequently, effective porosity, pH, total organic C, total N, available P, and catalase were identified as the final MDS. The soil quality index was obtained by the fuzzy-set membership function and the linear weighted additive method. The soil quality index differed significantly between the soil types and land use types. The soil quality can be ranked based on their indices in the following order: 1. Grain land with meadow soils, 2. Grain land with steppe soils, 3. Greenhouse vegetable land with fluvo-aquic soils, 4. Grain land with fluvo-aquic soils. The soils with higher soil quality indices exhibited better soil structure, higher nutrient contents, and superior resistance to water and nutrient loss. While the intensive tillage practices associated with vegetable production could reduce the values for effective porosity, pH and catalase, the application of appropriate fertilizers increased the values for total organic C, total N and available P. Therefore, the MDS method is an effective and useful tool to identify the key soil properties for assessing soil quality, and provides guidance on adaptive cropland management to a variety of soil types and land use types.

scholarly journals Mapping Soil Quality in Various Land Uses as a Basis for Soil Management in Wonogiri, Indonesia

2020 ◽  
Vol 11 (2) ◽  
pp. 127-135
Author(s):  
Mujiyo MUJIYO ◽  
Suntoro SUNTORO ◽  
Restu Prasetyaning TYAS ◽  
Aktavia HERAWATI ◽  
Hery WIDIJANTO
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Microbial Biomass Carbon ◽  
Principal Component ◽  
Soil Management ◽  
Agroforestry System ◽  
Land Uses ◽  
Soil Quality Index ◽  
Data Set ◽  
Quality Status

Soil quality is closely related to environment because soil is not only viewed as a growing media for plants but also encompasses various environmental and health functions. It is important to know the quality of soil in order to keep it healthy, productive, and optimally functioning. This research aims to evaluate soil quality status in various land uses and to learn the land factors that are related to soil quality. Soil quality index (SQI) represents the soil quality status. SQI will then be used as the basis for soil management. A descriptive explorative research study was carried out in the Giritontro Sub-district, Wonogiri District, Indonesia. SQI indicators were obtained from 12 existing Land Mapping Units (LMU). SQI was obtained by determining the Minimum Data Set (MDS) with a Principal Component Analysis (PCA) test. Then SQI was mapped and statistically analyzed to determine the influence of land use and the determinant factors of SQI. Results showed that SQI in all area is class 3 or moderate. SQI was significantly influenced by land use. SQI in paddy field is 9.09% higher than crop fields and 2.27% higher than of plantations. Indicators which are significantly related to SQI are bulk density, porosity, cation exchange capacity, available P, available K and microbial biomass carbon (MBC). The type of soil management that can be implemented to improve soil quality includes addition of organic or inorganic fertilizer and adoption of an agroforestry system.

scholarly journals Assessment of soil quality indicators under rice ecosystem of Assam, India

2020 ◽  
Vol 41 (6) ◽  
pp. 1655-1664
Author(s):  
A. Gayan ◽  
◽  
D.J. Nath ◽  
B. Bhattacharyya ◽  
N. Dutta ◽  
...  
Keyword(s):  
Soil Quality ◽  
Rice Yield ◽  
Maximum Yield ◽  
Principal Component ◽  
Exchange Capacity ◽  
Biological Parameters ◽  
Quality Indices ◽  
Soil Quality Index ◽  
Rice Soils ◽  
Rice Ecosystem

Aim: To assess the soil quality indices and its impact on rice yield in Upper Brahmaputra Valley Zone of Assam. Methodology: Seventy-three numbers of geo referenced soil samples were collected from the rice ecosystems and analysed for twenty-one soil physical, chemical and biological parameters. The soil quality indices (SQI) were developed using statistical tools like principal component analysis (PCA) techniques and expert opinion (EO). Relative soil quality index (RSQI) was also developed for grouping the soils into categories. Correlation matrices were drawn between different soil quality indices. The optimum values of soil quality indices were computed to sustain 80% or more of the existing in field maximum rice yield (5.20 t ha-1). Results: Multivariate statistics showed that four biological parameters viz., fluorescein di-acetate activity, phosphate solubilising bacteria, total bacterial population and collembolan population and three chemical parameters viz., cation exchange capacity, electrical conductivity? and diethylene tri amine penta acetic acid-Zinc could explain 70.2% of the cumulative variance. RSQI demonstrated that >50% and >30% of soils belonged to medium and good category. The regression of percent relative rice yield obtained from farmers field, illustrated that soil functions based EO-SQI could explain high degree of relationship (R2=0.289; r=0.537*), followed by RSQI (R2=0.284;r=0.532*) and PCA-SQI (R2=0.143; r=0.378*) to explain the variability of soils. The optimum value indicates that the rice soils having PCA-SQI value >0.55 were likely to give 80% or more of the maximum yield of UBVZ of Assam. Interpretation: Approaches of rating of soil quality based on PCA-SQI may be a useful tool, and there is need of more extensive investigations to validate its usefulness for assessment of soil quality in different cropping sequences of Assam.

scholarly journals STUDI INDEKS KUALITAS TANAH SERTA BIOINDIKATOR KUALITAS AIR DI DAS MIKRO SISIM KOTA BATU

2020 ◽  
Vol 8 (1) ◽  
pp. 203-213
Author(s):  
Shofie Rindi Nurhutami ◽  
Zaenal Kusuma ◽  
Istika Nita
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Soil Quality ◽  
Land Use Changes ◽  
Pollution Index ◽  
Health Condition ◽  
Soil Quality Index ◽  
Water Pollution Index ◽  
Landuse Change ◽  
The Impact

Landuse change causes the decrease of soil quality, so the hydrological and non-hydrological functions do not run optimally. Sisim Micro Watershed‘s area of ± 933.17 ha with a very steep slope has undergone major land-use changes. Soil Quality Index (SQI) analysis and water quality bioindicators are needed to assess the impact of land-use change. This study used 12 soil sampling plots, i.e. production forest (H2, H3, H4, H5), mixed gardens (KC2, KC3, KC4, KC5), and fields (T2, T3, T4, T5). The numbers behind the code indicate slope; 2 (slope 8-15%), 3 (slope 15-25%), 4 (slope 25-40%), and 5 (slope 40-60%). The results showed that dense vegetation and low intensity of tillage gave the best SQI. The highest SQI value was on H5 (0.63) with a good category, and the lowest was on T5 (0.32) with a bad category. The water quality bioindicator showed water pollution index of 1.97 (dirty water quality and rather heavily polluted). Soil quality which is dominated by low categories with high agricultural intensity and community waste disposal causes health condition of biotic habitats classified as unhealthy with a score of 1.90.

Assessment of soil quality for different land uses in the Chure region of Central Nepal

2018 ◽  
Vol 1 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Pramod Ghimire ◽  
Balram Bhatta ◽  
Basudev Pokhrel ◽  
Ishu Shrestha
Keyword(s):  
Land Use ◽  
Organic Matter ◽  
Soil Properties ◽  
Soil Quality ◽  
Total Nitrogen ◽  
Quality Index ◽  
Land Use Management ◽  
Land Uses ◽  
Soil Quality Index ◽  
Central Nepal

Soil quality is the capacity of soil to sustain biological productivity and environmental quality. Assessment of soil quality in different land use systems is essential as inappropriate land use management can degrade and deteriorate its function and stability. In this regard this study was carried out to evaluate soil quality of different land use types in Chure region of central Nepal. Soil quality index (SQI) was determined on the basis of the soil physiochemical parameters. Soil properties like soil pH, organic matter (OM), total nitrogen (TN), available potassium (AK), and available phosphorous (AP) were significantly affected by land uses types. Forest soil had the highest soil quality index (0.82) followed by bari (0.66), khet (0.64), and degraded land (0.40). Of the soil properties studied, total nitrogen and soil organic matter had the determining role in making significant impacts in the SQI among the different land uses. Hence, the results of this study can be important tool for planner, policy makers, and scientific community to frame appropriate land use management strategy.

scholarly journals Soil Quality and Its Potential Indicators under Different Land Use Systems in the Shivaliks of Indian Punjab

2020 ◽  
Vol 12 (8) ◽  
pp. 3490
Author(s):  
Bharat Bhushan Vashisht ◽  
Bijesh Maharjan ◽  
Sandeep Sharma ◽  
Samanpreet Kaur
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Agricultural Land ◽  
Mixed Forest ◽  
Weighted Average ◽  
Principal Component ◽  
Soil Parameters ◽  
Land Uses ◽  
Soil Quality Index ◽  
Land Use Systems

The present study assessed the overall state of the soil based on the most sensitive soil attributes under different land uses—i.e., rainfed agriculture, mixed forest, afforestation and non-arable lands—in the lower Shivaliks of Indian Punjab. The soil parameters—i.e., erosion ratio, bulk density and water retention characteristics—and fertility parameters were integrated under different land uses to identify potential soil quality indicators.The overall state of the soil, based on a weighted average of primary soil functions under different land uses through fuzzy modeling, was deemed best for agricultural land use (0.515), followed by forests (0.465) and non-arable lands (0.456), and deemed worst under afforestation (0.428). Among the different land use systems, principal component analysis (PCA) clearly separated the agriculture and forest samples from afforestation and non-arable lands samples. The contribution of potential indicators such as erosion ratio (ER), phosphorus (P) and potassium (K) toward the soil quality index (SQI) was substantial. The order of contribution of the selected indicators to the SQI was 53.5%, 34.3% and 19.9% for ER, P and K, respectively. These indicators are most influential for studying real time soil health and ecological processes in the future, under various land use systems in degraded agroecosystems like the Shivaliks.

scholarly journals Impact of Anthropic Activities on Soil Quality under Different Land Uses

2021 ◽  
Vol 18 (16) ◽  
pp. 8423
Author(s):  
Lucia Santorufo ◽  
Valeria Memoli ◽  
Speranza Claudia Panico ◽  
Francesco Esposito ◽  
Luca Vitale ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Basal Respiration ◽  
Land Uses ◽  
Soil Quality Index ◽  
Land Use Transformation ◽  
Use Efficiency ◽  
C And N ◽  
The Impact ◽  
Urban Sites

Anthropization often leads to land use transformation, causing deep changes to soil properties and its quality. Land use change could be an environmental and socioeconomic problem, as it impacts soil quality and ecosystem services. There is an urgent need to understand the pressures affecting soil quality. The aim of the work is to quantify the impact of different land uses on soil abiotic and biotic properties and on its quality. To achieve the aims, soils from different land uses (forest, urban and agricultural) were collected in the surroundings of Naples and analyzed for pH, water content, contents of C and N, C/N ratio and total and available concentrations of Cu, Ni and Pb, microbial and fungal biomasses, basal respiration and metabolic quotient. Then, a soil quality index (SQI) was calculated for each land use. The results showed that soil abiotic and biotic properties of the agricultural sites differed from those of forest and urban sites. At agricultural sites, microbial abundances decreased due to low amount of C and N and to high amount of Cu and Pb. This caused low use efficiency of energetic substrates and a reduced soil quality of agricultural sites as compared to forest and urban sites.

THE IMPACT OF DIFFERENT URBAN LAND USE TYPES ON AIR POLLUTION IN THE MEGACITY OF SÃO PAULO

2020 ◽  
Vol 7 (1) ◽  
pp. 91
Author(s):  
Júlio Barboza Chiquetto ◽  
Maria Elisa Siqueira Silva ◽  
Rita Yuri Ynoue ◽  
Flávia Noronha Dutra Ribieiro ◽  
Débora Souza Alvim ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Urban Land ◽  
Sao Paulo ◽  
Urban Land Use ◽  
São Paulo ◽  
Land Use Types ◽  
The Impact

A poluição do ar é influenciada por fatores naturais e antropogênicos. Quatro pontos de monitoramento (veicular, comercial, residencial e background urbano (BGU))da poluição do ar em São Paulo foram avaliados durante 16 anos, revelando diferenças significativas devidoao uso do solo em todas as escalas temporais. Na escala diurna, as concentrações de poluentes primários são duas vezes mais altas nos pontos veicular e residencial do que no ponto BGU, onde a concentração de ozonio (O3) é 50% mais alta. Na escala sazonal, as concentrações de monóxido de carbono(CO) variaram em 80% devido ao uso do solo, e 55% pela sazonalidade.As variações sazonais ede uso do solo exercem impactos similares nas concentrações de O3 e monóxido de nitrogênio (NO). Para o material particulado grosso (MP10) e o dióxido de nitrogênio(NO2), as variações sazonais são mais intensas do que as por uso do solo. Na série temporal de 16 anos, o ponto BGU apresentou correlações mais fortes e significativas entre a média mensal de ondas longas (ROL) e o O3 (0,48) e o MP10 (0,37), comparadas ao ponto veicular (0,33 e 0,22, respectivamente). Estes resultados confirmam que o uso do solo urbano tem um papel significativo na concentração de poluentes em todas as escalas de análise, embora a sua influência se torne menos pronunciada em escalas maiores, conforme a qualidade do ar transita de um sistema antropogênico para um sistema natural. Isto poderá auxiliar decisões sobre políticas públicas em megacidades envolvendo a modificação do uso do solo.

scholarly journals Identification of sensitive indicators to assess the interrelationship between soil quality, management practices and human health

SOIL ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 173-185 ◽  
Author(s):  
R. Zornoza ◽  
J. A. Acosta ◽  
F. Bastida ◽  
S. G. Domínguez ◽  
D. M. Toledo ◽  
...  
Keyword(s):  
Land Use ◽  
Human Health ◽  
Soil Quality ◽  
Management Practices ◽  
Land Use Changes ◽  
Aggregate Stability ◽  
Health Indicators ◽  
Nutrient Content ◽  
Sustainable Land Use ◽  
Soil Quality Index

Abstract. Soil quality (SQ) assessment has long been a challenging issue, since soils present high variability in properties and functions. This paper aims to increase the understanding of SQ through the review of SQ assessments in different scenarios providing evidence about the interrelationship between SQ, land use and human health. There is a general consensus that there is a need to develop methods to assess and monitor SQ for assuring sustainable land use with no prejudicial effects on human health. This review points out the importance of adopting indicators of different nature (physical, chemical and biological) to achieve a holistic image of SQ. Most authors use single indicators to assess SQ and its relationship with land uses – soil organic carbon and pH being the most used indicators. The use of nitrogen and nutrient content has resulted sensitive for agricultural and forest systems, together with physical properties such as texture, bulk density, available water and aggregate stability. These physical indicators have also been widely used to assess SQ after land use changes. The use of biological indicators is less generalized, with microbial biomass and enzyme activities being the most selected indicators. Although most authors assess SQ using independent indicators, it is preferable to combine some of them into models to create a soil quality index (SQI), since it provides integrated information about soil processes and functioning. The majority of revised articles used the same methodology to establish an SQI, based on scoring and weighting of different soil indicators, selected by means of multivariate analyses. The use of multiple linear regressions has been successfully used for forest land use. Urban soil quality has been poorly assessed, with a lack of adoption of SQIs. In addition, SQ assessments where human health indicators or exposure pathways are incorporated are practically inexistent. Thus, further efforts should be carried out to establish new methodologies to assess soil quality not only in terms of sustainability, productivity and ecosystem quality but also human health. Additionally, new challenges arise with the use and integration of stable isotopic, genomic, proteomic and spectroscopic data into SQIs.

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