Land use impact on soil quality in eastern Himalayan region of India

Singh, Achal; Bordoloi, L. J.; Kumar, Manoj; Hazarika, Samarendra; Parmar, Brajendra

doi:10.1007/s10661-013-3514-7

Cited by 79 publications

(47 citation statements)

References 18 publications

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“…Similar results were obtained in many previous studies on this subject (Alem and Pavlis, 2014;Binkley and Fisher, 2013;Singh et al, 2014). For that reason, planners have to construct an implementation method in accordance with public demands and quality of resources.…”

Section: Rasprava I Zaključaksupporting

confidence: 84%

The effect of land use type / land cover and aspect on soil properties at the Gökdere catchment in northwestern Turkey

Göl

Yılmaz

2017

Šumar. list (Online)

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SummaryDiff erent studies have shown that the eff ects of land use conversion on soil properties are variable, so that more researches that focus on diff erent ecological regions and land use types are required. Th e objectives of this study were (1) to evaluate the eff ects of land use types in two aspects (north and south) on soil properties and (2) to examine the impact of tillage and grazing on hydrological soil properties. Primarily, three diff erent main land use type /land cover (LUTLC) were selected in north and south facing slope to investigate the soil properties, namely, forest, grassland, and agricultural land. Soil samples were taken from a soil depth of 30 cm. For these soil samples, various soil properties such as texture, dry bulk density (BD), soil organic matter (SOM), soil pH, water stable aggregates (WSA) fi eld capacity, wilting point, infi ltration rate, and saturated hydraulic capacity (Ks) were analyzed. According to the results BD, WSA, SOM, Ks, and infi ltration rate signifi cantly change with LUTLC and aspect. Soil characteristics negatively aff ected by tillage practices and grazing are SOM, WSA, infi ltration rate, Ks, and BD. Finally, the fi ndings indicated that tillage and over grazing, in semi -arid region, eff ected adversely on soil properties, and that over grazing damaged the hydrological properties of surface soil.

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Section: Rasprava I Zaključaksupporting

confidence: 84%

The effect of land use type / land cover and aspect on soil properties at the Gökdere catchment in northwestern Turkey

Göl

Yılmaz

2017

Šumar. list (Online)

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“…Soil properties that are widely acknowledged as good indicators of soil quality, but with factor loading scores ≤ 0.70, were also retained. Soil physical, chemical, and biological properties that have been suggested as important soil quality indicators include soil organic carbon, available nutrients and particle size, BD, pH, soil aggregate stability, CEC, and available water content (Doran and Parkin, 1994;Larson and Pierce, 1994;Karlen et al, 1997;Zornoza et al, 2007Zornoza et al, , 2015García-Ruiz et al, 2008;Qi et al, 2009;Marzaioli et al, 2010;Fernandes et al, 2011;Lima et al, 2013;Merrill et al, 2013;Rousseau et al, 2012Rousseau et al, , 2013Singh et al, 2014). In cases in which more than one soil property was found to be of high importance under a single PC, Pearson's correlation coefficients were used to determine if any of these variables are redundant (Qi et al, 2009).…”

Section: Statistical Analyses and Index Developmentmentioning

confidence: 99%

Development of a composite soil degradation assessment index for cocoa agroecosystems in southwestern Nigeria

2017

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Abstract. Cocoa agroecosystems are a major land-use type in the tropical rainforest belt of West Africa, reportedly associated with several ecological changes, including soil degradation. This study aims to develop a composite soil degradation assessment index (CSDI) for determining the degradation level of cocoa soils under smallholder agroecosystems of southwestern Nigeria. Plots where natural forests have been converted to cocoa agroecosystems of ages 1-10, 11-40, and 41-80 years, respectively representing young cocoa plantations (YCPs), mature cocoa plantations (MCPs), and senescent cocoa plantations (SCPs), were identified to represent the biological cycle of the cocoa tree. Soil samples were collected at a depth of 0 to 20 cm in each plot and analysed in terms of their physical, chemical, and biological properties. Factor analysis of soil data revealed four major interacting soil degradation processes: decline in soil nutrients, loss of soil organic matter, increase in soil acidity, and the breakdown of soil textural characteristics over time. These processes were represented by eight soil properties (extractable zinc, silt, soil organic matter (SOM), cation exchange capacity (CEC), available phosphorus, total porosity, pH, and clay content). These soil properties were subjected to forward stepwise discriminant analysis (STEPDA), and the result showed that four soil properties (extractable zinc, cation exchange capacity, SOM, and clay content) are the most useful in separating the studied soils into YCP, MCP, and SCP. In this way, we have sufficiently eliminated redundancy in the final selection of soil degradation indicators. Based on these four soil parameters, a CSDI was developed and used to classify selected cocoa soils into three different classes of degradation. The results revealed that 65 % of the selected cocoa farms are moderately degraded, while 18 % have a high degradation status. The numerical value of the CSDI as an objective index of soil degradation under cocoa agroecosystems was statistically validated. The results of this study reveal that soil management should promote activities that help to increase organic matter and reduce Zn deficiency over the cocoa growth cycle. Finally, the newly developed CSDI can provide an early warning of soil degradation processes and help farmers and extension officers to implement rehabilitation practices on degraded cocoa soils.

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“…SQ was greatest under native, perennial vegetation, and declined with increasing levels of soil disturbance resulting from cultivation. Singh et al (2014) selected indicators from a data set of 29 soil properties by PCA and produced an SQI which indicated that SQ in the natural forest land and grasslands was higher than in the cultivated sites. Interestingly, these authors highlighted that SOC and exchangeable Al were the two most powerful indicators of SQ in the eastern Himalayan region of India.…”

Section: Land Use Changes and Soil Qualitymentioning

confidence: 99%

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

Zornoza

Acosta

Bastida

et al. 2015

SOIL

234

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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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Land use impact on soil quality in eastern Himalayan region of India

Cited by 79 publications

References 18 publications

The effect of land use type / land cover and aspect on soil properties at the Gökdere catchment in northwestern Turkey

The effect of land use type / land cover and aspect on soil properties at the Gökdere catchment in northwestern Turkey

Development of a composite soil degradation assessment index for cocoa agroecosystems in southwestern Nigeria

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

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