Soil management affects carbon dynamics and yield in a Mediterranean peach orchard

Montanaro, Giuseppe; Dichio, Bartolomeo; Bati, C. Briccoli; Xiloyannis, Cristos

doi:10.1016/j.agee.2012.07.020

Cited by 64 publications

(43 citation statements)

References 48 publications

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“…Tier 1 C input stock change factors (Table 3) do not probably reflect the real growth of soil C input after the incorporation of crop residues, compost, and grass cover into the soil. RothC overestimation could be due to the lack of consideration in the simulation of soil condition variability across the orchard hectare: the variable soil moisture with the distance from the tree line due to drip irrigation and the concentrated distribution of compost and roots along the tree line (Montanaro et al 2012). …”

Section: Resultsmentioning

confidence: 99%

Improving the accounting of field emissions in the carbon footprint of agricultural products: a comparison of default IPCC methods with readily available medium-effort modeling approaches

Peter

Fiore

Hagemann

et al. 2016

Int J Life Cycle Assess

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Purpose The estimations of greenhouse gas (GHG) field emissions from fertilization and soil carbon changes are challenges associated with calculating the carbon footprint (CFP) of agricultural products. At the regional level, the IPCC Guidelines for National Greenhouse Gas Inventories (2006a) Tier 1 approach, based on default emission factors, insufficiently accounts for emission variability resulting from pedo-climatic conditions or management practices. However, Tier 2 and 3 approaches are usually considered too complex to be practicable. In this paper, we discuss different readily available medium-effort methods to improve the accuracy of GHG emission estimates. Methods We present four case studies-two wheat crops in Germany and two peach orchards in Italy-to test the performance of Tier 1, 2, and 3 methodologies and compare the estimated results with available field measurements. The methodologies selected at Tier 2 and Tier 3 level are characterized by simple implementation and data collection, for which only a medium level of effort for stakeholders is required. The Tier 2 method consists of calculating direct and indirect N 2 O, emissions from fertilization with a multivariate empirical model which accounts for pedo-climatic and crop management conditions. The Tier 3 method entails simulation of soil carbon stock change using the Rothamsted carbon model. Results and discussion Relevant differences were found among the tested methodologies: in all case studies, the Tier 1 approach exceeded the Tier 2 estimations for fertilizer-induced emissions (up to +50 %) and the measurements. Using this higher Tier approach reduced the estimated CFP calculation of annual crops by 4 and 21 % and that of the perennial crop by 7 %. Removals related to positive soil carbon change calculated using the Tier 1 approach also exceeded the Tier 3 calculations for the studied annual crops (up to +90 %) but considerably underrated the Tier 3 estimations and measurements for perennial crops (−75 %). In this case, the impact of the selected Tier method on the final CFP results was even more relevant: an increase of 194 and 88 % for the studied annual crops and a decrease of 67 % for the perennial crop case study. Conclusions The use of higher Tiers for the estimation of land-based emissions is strongly recommended to improve the accuracy of the CFP results. The suggested mediumeffort methods tested in this study represent a good compromise between complexity reduction and accuracy improvement and can be considered reliable for the assessment of GHG mitigation potentials.

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Section: Resultsmentioning

confidence: 99%

Improving the accounting of field emissions in the carbon footprint of agricultural products: a comparison of default IPCC methods with readily available medium-effort modeling approaches

Peter

Fiore

Hagemann

et al. 2016

Int J Life Cycle Assess

Self Cite

View full text Add to dashboard Cite

show abstract

“…This finding could be primarily associated with an increase in the N content in the fruit (Table 5) (Thomidis, Tsipouridis, & Darara, 2007), which may promote the incidence of fungal disease (Montanaro et al, 2012).…”

Section: Peach Compositionmentioning

confidence: 99%

“…Nevertheless, the mineralization of compost in the soil will determine the responses of the peach trees and depends on the composition of the compost, including the nutrient content and C/N ratio (Jordan et al, 2011;Sofo et al, 2005). The amount of compost applied to the surface will determine the contact area with the ground, which can slow the activity of the microbial biomass (Ramos, Benítez, García, & Robles, 2011) and affect the soil moisture and soil temperature (Montanaro, Dichio, Bati, & Xiloyannis, 2012). Thus, undertaking regional field experiments, especially experiments that evaluate more than one crop season, is necessary for evaluating the effects of applying organic composts.…”

Section: Introductionmentioning

confidence: 99%

<b>Nutritional status, yield and composition of peach fruit subjected to the application of organic compost

et al. 2016

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ABSTRACT. The purpose of this study was to evaluate the nutritional state, yield and composition of peaches on peach trees subjected to the application of organic compost to the soil. This experiment was . Avaliou-se o teor de nutrientes totais nas folhas, componentes de produção, produção por planta e hectare e a composição dos frutos em 2008 e 2009, logo depois da colheita e 30 dias após armazenamento. A aplicação de composto orgânico no solo, aumenta os valores de componentes de produção e a produção de pêssego por planta e hectare, nas duas maiores quantidades de composto fornecidas, o que economicamente indica a melhor dose de 72 L de composto por planta -1 . A adição de composto orgânico na superfície do solo não afeta o estado nutricional e pouco afeta a composição dos pêssegos após a colheita e depois de 30 dias do armazenamento.Palavras-chave: nutrição mineral, resíduos orgânicos, Prunus persica.

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“…Trees absorb carbon dioxide during photosynthesis, store this carbon in their tissues and soils, and sequester it from the atmosphere (Kimball et al 2007). Studies in semi-arid regions such as Italy on olive groves as well as peach and other orchards have indicated that the resilience of orchard growers can be enhanced if sustainable practices are taught to farmers (Montanaro et al 2012; Palese et al 2013). These practices include using greywater for irrigation as some women in San Ignacio’s home gardens already take advantage of.…”

Section: Resultsmentioning

confidence: 99%

Gendered vulnerabilities and grassroots adaptation initiatives in home gardens and small orchards in Northwest Mexico

Buechler

2016

Ambio

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With the retreat of the state under neoliberalism, the lack of (or negligible) government and non-governmental support reasserts grassroots initiatives as a global-change strategy. A feminist political ecology approach and the concept of adverse inclusion were used to facilitate an analysis of social differences shaping local-level adaptive responses. Adaptive responses of small farmers in the border village of San Ignacio, Sonora, Mexico, who are increasingly vulnerable to climate change, water scarcity, and changing labor markets were studied. Gender differences in production sites translate into diverse vulnerabilities and adaptive strategies. Local capacities and initiatives should be a focus of research and policy to avoid viewing women and men as passive in the face of global change. The dynamic strategies of San Ignacio women and men in home gardens and small orchards hold lessons for other regions particularly related to adaptation to climate change via agrobiodiversity, water resource management, and diversified agricultural livelihoods.

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Soil management affects carbon dynamics and yield in a Mediterranean peach orchard

Cited by 64 publications

References 48 publications

Improving the accounting of field emissions in the carbon footprint of agricultural products: a comparison of default IPCC methods with readily available medium-effort modeling approaches

Improving the accounting of field emissions in the carbon footprint of agricultural products: a comparison of default IPCC methods with readily available medium-effort modeling approaches

<b>Nutritional status, yield and composition of peach fruit subjected to the application of organic compost

Gendered vulnerabilities and grassroots adaptation initiatives in home gardens and small orchards in Northwest Mexico

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