Indicating soil quality in cacao-based agroforestry systems and old-growth forests: The potential of soil macrofauna assemblage

Rousseau, Guillaume Xavier; Deheuvels, Olivier; Arias, I.R.; Somarriba, Eduardo

doi:10.1016/j.ecolind.2012.05.008

Cited by 72 publications

(37 citation statements)

References 42 publications

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“…A dataset with many variables, as in the case of CD, complicates the determination of individual parameter values, requiring a greater researcher subjectivity and, therefore, increasing the risk of overestimating or underestimating soil indicators, with great implications on SQI. Moreover, many of soil properties are not good indicators of soil quality and, therefore, should not be included for obtaining the SQI (Rousseau et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

“…Among the analyzed datasets, that of the scientific literature contains the smallest number of selected variables, and a smaller and less complex MD is desirable (Askari & Holden, 2015) for distributing and weighing soil quality indicators within the detailed functions in the model (Rousseau et al, 2012). …”

Section: Resultsmentioning

confidence: 99%

“…With this procedure, 20 variables were selected, among which the soil physical properties BD, TP, Mac, Mic, Ksl, θs, Es, AG5, GMD, and ASI; the soil chemical properties Ca A second subset was defined using indicators with the highest frequency of use in 33 studies in the scientific literature in the theme, including research randomly obtained from different regions, on different continents. This kind of data set is frequently used to discriminate or to certify the SQ (Andrews et al, 2002;Rousseau et al, 2012;Lima et al, 2013;Askari & Holden, 2014). A selection of variables for this subset was performed based on a minimum frequency of 30% in the evaluated scientific papers.…”

Section: Methodsmentioning

confidence: 99%

“…However, comparing soil quality indicators is not an easy task, since there is neither a consensus as to the appropriate indicators to compose the SQI (Rousseau et al, 2012), nor as to the way that they should be selected to minimize personal subjectivity.…”

Section: Introductionmentioning

confidence: 99%

“…The dataset of indicators may be constructed according to expert opinion (Andrews et al, 2002;Sánchez-Navarro et al, 2015), based on how often the parameters appear in scientific papers (Rousseau et al, 2012), or it may be guided solely on statistical criteria. Certainly, it can also consist of the combination of both strategies (Lima et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Selecting soil quality indicators for different soil management systems in the Brazilian Cerrado

Stefanoski

Figueiredo

Santos

et al. 2016

Pesq. agropec. bras.

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-The objective of this work was to assess soil quality indicators obtained with different datasets to compare soil management systems in the Brazilian Cerrado. Three criteria were used to select soil physical, chemical, and biological indicators: the full set of indicators obtained, with 36 parameters, for which all the physical, chemical, and biological soil properties were determined; a subset of indicators selected by principal component analysis (20 parameters); and a subset of indicators with some frequency of use in the literature (16 parameters). These indicators were obtained from the following management systems: no-tillage, conventional tillage, and native cerrado vegetation. Soil samples were collected at 0.0-0.1-m soil depth, and soil quality indicators were subjected to analysis of variance and their means were compared. The incorporation of soil native cerrado into agriculture decreased soil quality. The most commonly used indicators in the scientific literature are sensitive enough to detect differences in soil quality according to land use. Therefore, the selection of a minimum set of representative data can be more useful than a complex set of properties to compare management systems as to their soil quality.Index terms: no-tillage, principal component analysis, soil functioning, soil health, soil management, soil security. Seleção de indicadores da qualidade do solo para diferentes sistemas de manejo do solo no CerradoResumo -O objetivo deste trabalho foi avaliar indicadores da qualidade do solo, obtidos de diferentes bases de dados, para comparar sistemas de manejo do solo no Cerrado. Três critérios foram utilizados para a seleção de indicadores físicos, químicos e biológicos do solo: o conjunto completo de indicadores obtido, com 36 parâmetros, entre os quais todas as propriedades físicas, químicas e biológicas foram determinadas; um subconjunto de indicadores selecionados por análise de componentes principais (20 parâmetros); e um subconjunto de indicadores com alguma frequência de uso na literatura (16 parâmetros). Esses indicadores foram obtidos a partir dos seguintes sistemas de manejo: plantio direto, preparo convencional e cerrado nativo. As amostras de solo foram coletadas a 0,0-0,1 m de profundidade, e os indicadores de qualidade do solo foram submetidos à análise de variância e suas médias foram comparadas. A incorporação do solo de cerrado nativo à agricultura diminuiu a qualidade do solo. Os indicadores mais comumente utilizados na literatura científica são suficientemente sensíveis para detectar diferenças de qualidade do solo de acordo com o uso da terra. Portanto, a seleção de um conjunto mínimo de dados representativos pode ser mais útil do que um conjunto complexo de atributos, para comparar sistemas de manejo quanto à qualidade do solo.Termos para indexação: plantio direto, análise de componentes principais, funcionamento do solo, saúde do solo, manejo do solo, segurança do solo.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Selecting soil quality indicators for different soil management systems in the Brazilian Cerrado

Stefanoski

Figueiredo

Santos

et al. 2016

Pesq. agropec. bras.

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The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Hudson

Newbold

Contu

et al. 2016

Ecology and Evolution

206

211

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The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

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Degradation of Riparian Forest Affects Soil Properties and Ecosystem Services Provision in Eastern Amazon of Brazil

et al. 2016

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Brazil's riparian forests are continuously threatened by conversion into agricultural areas, causing not only degradation and loss of vegetation but also negative changes in soil properties and ecosystem services. In order to select vegetation and soil variables that are affected by degradation and to evaluate whether forest structure can be used as a proxy for soil ecosystem services, two watersheds in eastern Amazon were chosen as a study area in which four degradation levels were identified (very high, high, moderate and low), based on forest canopy openness and height. Vegetation structural characteristics, water infiltration rates, and soil properties were evaluated in 24, 1,000 m 2 permanent plots. Results indicated that forest degradation significantly reduced soil carbon, phosphorus, cation exchange capacity, silt proportion, total porosity, and water content as well as water infiltration rate. Vegetation structure was a good proxy for monitoring soil ecosystem services (i.e. regulation of water flow, erosion control and life-supporting). Tree height and basal area, as well as herb biomass, were identified as the best vegetation indicators for changes in soil properties that underlie ecosystem services. Application of this strategy may facilitate the monitoring and modeling of riparian forest ecosystem services across broader spatial scales, to help guide efficient restoration efforts and conservation policies.

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Indicating soil quality in cacao-based agroforestry systems and old-growth forests: The potential of soil macrofauna assemblage

Cited by 72 publications

References 42 publications

Selecting soil quality indicators for different soil management systems in the Brazilian Cerrado

Selecting soil quality indicators for different soil management systems in the Brazilian Cerrado

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

Degradation of Riparian Forest Affects Soil Properties and Ecosystem Services Provision in Eastern Amazon of Brazil

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