The life-time concept as a tool for erosion tolerance definition

Sparovek, Gerd; Weill, M.M.; Ranieiri, S.B.L.; Schnug, Ewald; Silva, E.F.

doi:10.1590/s0103-90161997000300015

Cited by 11 publications

(6 citation statements)

References 4 publications

(1 reference statement)

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“…Montgomery (2007) noted a reasonable historical pattern of 500-to several-thousand-year life spans for major civilizations around the world. Other studies have expressed soil loss tolerance using the concept of "soil life time" (Sparovek and Schnug 2001;Sparovek et al 1997).…”

Section: Introductionmentioning

confidence: 99%

A new method to calculate soil loss tolerance for sustainable soil productivity in farmland

Duan

Shi

et al. 2016

Agron. Sustain. Dev.

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Soil loss tolerance (T) is a widely used concept for assessing potential risks of soil erosion and is a criterion for assessing the effectiveness of soil and water conservation projects. However, current approaches for calculating T values lack a strong scientific basis, and few practicable methods are available. Many questions remain regarding which parameters, such as planning periods and offset damages, should be included in calculating T values. Here, we developed a new method to calculate soil loss tolerance as a function of the soil productivity index (SPI) for farmland. To achieve sustainable soil productivity in farmland, erosion rates leading to SPI values lower than the lower boundary of soil productivity (SPI0) are not tolerable and must be controlled by soil conservation measures. We applied this method in the Red River Basin of China based on the investigation of typical soil profiles and crop yields. Our results show that the T values in the Red River Basin ranged from 0.91 to 10.24 t ha −1 a −1. The SPI0 and the lowest limit of soil loss tolerance (T1) were 0.4 and 0.91 t ha −1 a −1 , respectively. Here, we demonstrate that, when determining T values in farmland, (1) the soil formation rate and offset damage should not be core items, (2) the "planning period" concept should be replaced by "sustainability", (3) the management objective of T should be the sustainability of the soil resource, and (4) the T values of farmland should be determined according to soil productivity. We provide a reasonable and feasible method to determine T for farmland, which will help maintain the sustainability of soil productivity.

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Section: Introductionmentioning

confidence: 99%

A new method to calculate soil loss tolerance for sustainable soil productivity in farmland

Duan

Shi

et al. 2016

Agron. Sustain. Dev.

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“…A partir de 1990, no entanto, a USP/Esalq deu início a uma seqüência de publicações que se distinguiu por discutir aspectos e conceitos variados em um contexto de planejamento de uso e ocupação da terra no meio rural. Essa linha multifacetada, conduzida, entre outros, por G. Sparovek, começou abordando a relação entre erosão e produtividade, migrando para a discussão do conceito de tolerância à erosão e desenvolvimento de indicadores de risco de degradação (Sparovek et al, 1991(Sparovek et al, , 1993(Sparovek et al, , 1997Salviano et al, 1998;Ranieri et al, 1998). A partir do ano 2000, esse grupo desenvolveu trabalhos em que incorporou ferramentas de geoprocessamento mescladas a modelos de predição ou estimativa de erosão (USLE, WEEP, 137 Cs) e à discussão de impactos ambientais.…”

Section: Resultsunclassified

Bibliometria, história e geografia da pesquisa brasileira em erosão acelerada do solo

Barretto¹,

Barros

Sparovek

2008

Rev. Bras. Ciênc. Solo

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RESUMOHá poucos estudos sobre a história da ciência do solo e, no Brasil, essa matéria ainda não recebeu maior atenção por parte de sua comunidade científica. Este trabalho focaliza a formação histórica da pesquisa brasileira em erosão acelerada do solo a partir de uma análise bibliométrica e geográfica, com base numa ampla compilação de artigos científicos publicados sobre o tema por autores vinculados a instituições brasileiras. A metodologia envolveu o armazenamento, em um banco de dados dimensional, estruturado especificamente para esse objetivo, de informações espaciais e bibliométricas. Indicadores quantitativos foram calculados, e a geografia da pesquisa foi mapeada por meio de consultas SQL e ferramentas de geoprocessamento. Os resultados apontaram para gênese recente da pesquisa brasileira em erosão acelerada do solo e centralização da produção científica e formação de linhas em instituições e autores do Sul e Sudeste do Brasil. Ainda, a análise dos dados temáticos indicou predominância do enfoque da erosão a partir de uma perspectiva agrícola e grande ênfase na pesquisa dos fatores do modelo USLE de estimativa de erosão.Termos de indexação: geoprocessamento, erosão hídrica, banco de dados.(1) Parte da Dissertação de Mestrado apresentada pelo primeiro autor ao Programa

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“…It comprises seven decision rules, that is, equality (ER), dominance (DOR), bimodality (BR), masking (MR), aggravating (AR), dependence (DER) and independence (IR), generated specifically for characterization of real non-ordered erosion combination processes prevailing in the study area (64 real cases of a total of 216 possible cases) ( Table I). For example, the DER was closely related to soil depth, which is necessary for determining critical tolerance values for erosion (Sparovek et al, 1997;Whiting et al, 2001). Thus, a shallow soil (depth <1 m) can be considered as higher erosion risk area than deep one (depth >1 m).…”

Section: Prioritization Of Erosion Processesmentioning

confidence: 99%

A conditional GIS‐interpolation‐based model for mapping soil‐water erosion processes in Lebanon

Kheir

2007

Land Degrad Dev

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Soil erosion by water is a major cause of landscape degradation in Mediterranean environments, including Lebanon. This paper proposes a conditional decision-rule interpolation-based model to predict the distribution of multiple erosion processes (i.e. sheet, mass and linear) in a representative area of Lebanon from the measured erosion signs in the field (root exposure, earth pillars, soil etching and drift and linear channels). First, erosion proxies were derived from the structural OASIS classification of Landsat thematic mapper (TM) imageries combined with the addition of several thematic erosion maps (slope gradient, aspect and curvature, drainage density, vegetal cover, soil infiltration and erodibility and rock infiltration/movement) under a geographic information systems (GIS) environment. Second, erosion signs were measured in the field, and interpolated by the statistical moments (means and variance) in the defined erosion proxies, thus producing quantitative erosion maps (t ha À1 ) at a scale of 1:100 000. Seven decision rules were then generated and applied on these maps in order to produce the overall decisive erosion map reflecting all existing erosion processes, that is, equality (ER), dominance (DOR), bimodality (BR), masking (MR), aggravating (AR), dependence (DER) and independence (IR). The produced erosion maps are divided into seven classes ranging between 0 and more than 1Á8 t ha À1 for sheet erosion, and 0 and more than 10Á5 t ha À1 for mass and linear erosion. They are fairly matching with coincidences values equal to 43 per cent (sheet/linear), 48 per cent (sheet/mass) and 49 per cent (linear/mass). The overall accuracies of these maps were estimated to be 76 per cent (sheet erosion), 78 per cent (mass erosion) and 78Á5 per cent (linear erosion). The overall decisive erosion map with 15 classes corresponds well to land management needs. The model used is relatively simple, and may also be applied to other areas. It is particularly useful when GIS database on factors influencing erosion is limited.

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The life-time concept as a tool for erosion tolerance definition

Cited by 11 publications

References 4 publications

A new method to calculate soil loss tolerance for sustainable soil productivity in farmland

A new method to calculate soil loss tolerance for sustainable soil productivity in farmland

Bibliometria, história e geografia da pesquisa brasileira em erosão acelerada do solo

A conditional GIS‐interpolation‐based model for mapping soil‐water erosion processes in Lebanon

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