Soil Degradation in the United States

Lal, R.; Kimble, J. M.; Iivari, Thomas A.

doi:10.1201/9780203496381

Cited by 34 publications

(20 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Literature on soil degradation assessments is replete with gross extrapolations on the basis of limited data, often outside the regions from which the data were obtained (87). These data cannot be used for baseline development, assessment, and monitoring of soil degradation and are unsuitable for land-use planning and identification of conservation/restoration policies (104). A major indictment of the GLASOD land degradation assessment was delivered by its exclusion from the Pilot 2006 Environmental Performance Index for the reasons that the data are outdated and not comparable enough to permit cross-country performance assessments (106).…”

Section: Assessment Of Soil Degradationmentioning

confidence: 99%

Soils: A Contemporary Perspective

Palm

Sánchez

Ahamed

et al. 2007

Annu. Rev. Environ. Resour.

205

112

View full text Add to dashboard Cite

Soils are viewed in the context of ecosystem services, soil processes and properties, and key attributes and constraints. The framework used is based on the premise that the natural capital of soils that underlies ecosystem services is primarily determined by three core soil properties: texture, mineralogy, and soil organic matter. Up-todate descriptions and geographical distribution of soil orders as well as soil attributes and constraints are given, along with the relationships between soil orders, properties, and biomes. We then relate ecosystem services to specific soil processes, soil properties, and soil constraints and attributes. Soil degradation at present is not adequately assessed and quantified. The use of an approach combining digital soil maps, pedotransfer functions, remote sensing, spectral analysis, and soil inference systems is suggested for simultaneous characterization of various chemical, physical, and biological properties to overcome the great limitations and costs of conventional methods of soil assessments. 99

show abstract

Section: Assessment Of Soil Degradationmentioning

confidence: 99%

Soils: A Contemporary Perspective

Palm

Sánchez

Ahamed

et al. 2007

Annu. Rev. Environ. Resour.

205

112

View full text Add to dashboard Cite

show abstract

“…Globally, declining in soil quality (SQ) has posed a tremendous challenge to increasing agricultural productivity, economic growth, and healthy environment [1,2]. The underlying causes for SQ degradation are largely related to inappropriate land use and soil management, erratic and erosive rainfall, steep terrain, deforestation, and overgrazing [2][3][4]. Most of the causes are resulted from a desperate attempt by farmers to increase production for the growing population which aggravate SQ degradation more in the developing countries, which mainly depend on natural resources (agriculture) [1,4].…”

Section: Introductionmentioning

confidence: 99%

“…The underlying causes for SQ degradation are largely related to inappropriate land use and soil management, erratic and erosive rainfall, steep terrain, deforestation, and overgrazing [2][3][4]. Most of the causes are resulted from a desperate attempt by farmers to increase production for the growing population which aggravate SQ degradation more in the developing countries, which mainly depend on natural resources (agriculture) [1,4]. Misuse of natural resources that leads to degradation can also be stimulated by socioeconomic and political issues, for example, land tenure, capital, and infrastructure [5].…”

Section: Introductionmentioning

confidence: 99%

Soil Quality Assessment Strategies for Evaluating Soil Degradation in Northern Ethiopia

Tesfahunegn

2014

Applied and Environmental Soil Science

View full text Add to dashboard Cite

Soil quality (SQ) degradation continues to challenge sustainable development throughout the world. One reason is that degradation indicators such as soil quality index (SQI) are neither well documented nor used to evaluate current land use and soil management systems (LUSMS). The objective was to assess and identify an effective SQ indicator dataset from among 25 soil measurements, appropriate scoring functions for each indicator and an efficient SQ indexing method to evaluate soil degradation across the LUSMS in the Mai-Negus catchment of northern Ethiopia. Eight LUSMS selected for soil sampling and analysis included (i) natural forest (LS1), (ii) plantation of protected area, (iii) grazed land, (iv) teff (Eragrostis tef)-faba bean (Vicia faba) rotation, (v) teff-wheat (Triticum vulgare)/barley (Hordeum vulgare) rotation, (vi) teff monocropping, (vii) maize (Zea mays) monocropping, and (viii) uncultivated marginal land (LS8). Four principal components explained almost 88% of the variability among the LUSMS. LS1 had the highest mean SQI (0.931) using the scoring functions and principal component analysis (PCA) dataset selection, while the lowest SQI (0.458) was measured for LS8. Mean SQI values for LS1 and LS8 using expert opinion dataset selection method were 0.874 and 0.406, respectively. Finally, a sensitivity analysis (S) used to compare PCA and expert opinion dataset selection procedures for various scoring functions ranged from 1.70 for unscreened-SQI to 2.63 for PCA-SQI. Therefore, this study concludes that a PCA-based SQI would be the best way to distinguish among LUSMS since it appears more sensitive to disturbances and management practices and could thus help prevent further SQ degradation.

show abstract

“…This was also affirmed by Yilma (2006) who reported that burning of biomass in prevailing-slash-and burn systems and high temperatures lead to a rapid decomposition of organic matter and consequently, poor SOC. Studies in Ethiopia (Habtamu et al, 2009;Alemayehu et al, 2014), west Africa (Lal et al, 2003;Yilma, 2006) and other parts of the world had reported significant reduction in SOC and Total N caused by burning and removal of crop residue. Low fertility is linked with low CEC and low reserves of N and P-availability.…”

Section: Soil Classification Systemmentioning

confidence: 99%

Soil survey and soil classification of the Koupendri catchment in Benin, West Africa

Azuka¹,

eacute²,

ger³

et al. 2015

Afr. J. Agric. Res.

View full text Add to dashboard Cite

Lack of detailed soil data has been a major constraint to hydrological modeling and making of agronomic decisions in the Koupendri Catchment. A soil survey was carried out to characterize and classify the soils of the 11.8 km 2 catchment using Soil and Terrain (SOTER) approach. The soils were classified using the soil taxonomy (USDA) and the world reference base for soil resources (WRB) classification systems. The soil map produced at a scale of 1:25000 using FAO/UNESCO legend showed five distinct soil types. The dominant soil type-Dystric Plinthosols-covered about 55% of the area and supports few crop productions but make plantation agriculture almost impossible. The soils are slightly acidic to alkaline, predominantly silty to clayey in texture with good to imperfect drainage, low permeability and high bulk density that impedes root growth. The poor soil organic carbon content, total nitrogen, available phosphorus, cation exchange capacity, base saturation and other basic exchangeable cations with moderately leached horizons indicated low-moderate fertility status of less weathered soils. The soils belong to three major soil orders: Ultisols, Inceptisols and Alfisols (USDA), and reference soil groups: Plinthosols, Cambisols, Luvisols and Gleysols (WRB). The WRB gave a better and detailed soil classification compared to USDA, and thus should be used in subsequent classification of soils in the region.

show abstract

Soil Degradation in the United States

Cited by 34 publications

References 0 publications

Soils: A Contemporary Perspective

Soils: A Contemporary Perspective

Soil Quality Assessment Strategies for Evaluating Soil Degradation in Northern Ethiopia

Soil survey and soil classification of the Koupendri catchment in Benin, West Africa

Contact Info

Product

Resources

About