The influence of seasonal river flooding in food consumption of riverine dwellers in the central Amazon region: an isotopic approach

Jardim, Cinthya Martins; Nardoto, Gabriela Bielefeld; Lima, Ana Carolina Barbosa de; Silva, Rodrigo de Jesus; Schor, Tatiana; Oliveira, José Aldemir de; Martinelli, Luiz Antônio

doi:10.1007/s12520-020-01172-5

Cited by 6 publications

(2 citation statements)

References 50 publications

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“…These general findings correspond to those of previous studies that highlight an urban–rural food transition process, but now on a much larger geographical scale and with a slightly different methodological approach (Jardim, 2020 ; Jesus Silva et al, 2017 ; Jesus Silva et al, 2019 ; 2011 ; Reinaldo et al, 2015 ; Rodrigues, 2016 ; Schor & Azenha, 2017 ). In a participant observation with Kalunga’s slave-remnant communities of African descent, Jesus Silva et al ( 2019 ) demonstrated an analogous food change process through an isotopic analysis and interview survey.…”

Section: Discussionsupporting

confidence: 90%

Impacts of market economy access and livelihood conditions on agro-food transition in rural communities in three macro-regions of Brazil

Silva

Nardoto

Schor

et al. 2021

Environ Dev Sustain

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Urbanization has threatened rural communities’ livelihoods worldwide, changing their agro-food systems from locally produced traditional items to industrialized foodstuffs. The main objective was to investigate the relationship between livelihood conditions and the agro-food transition process in rural communities of the Center-West, Northeast, and Amazon regions of Brazil. We hypothesized that traditional agroecosystems and local food habits changed with greater access to market economies. The study was conducted with semi-structured questionnaire interviews to verify agro-food patterns, subsistence farming, natural resource use, and socioeconomic conditions. Moreover, we used stable isotope ratios from the inhabitants’ fingernails to determine the food source and trophic chain diversity. Data from questionnaires were analyzed using a Bayesian clustering model to characterize the socioeconomic conditions and agro-food patterns among rural and urban communities. The isotopic data were appraised through a nonparametric model to assess food differences among Brazilian regions and different community types. The Bayesian model allowed us to determine the optimal number of groups according to descriptive socioeconomic and agro-food variables sorted by each specific location. We also verified a food change from C 3 (more natural) to C 4 (more processed) with an increase in δ 13 C and a decrease in δ 15 N in the city and town localities. This indicates a livelihood shift from locally produced foods to processed items toward urban areas. Although remote villages showed more maintenance of their agro-food systems, increased access to market economies and the supermarket diet is changing the livelihood conditions of rural communities, which can compromise their traditional farming and food sovereignty.

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Section: Discussionsupporting

confidence: 90%

Impacts of market economy access and livelihood conditions on agro-food transition in rural communities in three macro-regions of Brazil

Silva

Nardoto

Schor

et al. 2021

Environ Dev Sustain

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“…These systems, hereafter called wetlands, support plants and animals that are adapted to the flood pulse (Junk et al, 1989), play key roles in regional and global biogeochemical cycles, especially the carbon cycle (Richey et al 1990;Dunne et al, 1998;Abril et al, 2014;Melack et al, 2004;Pangala et al, 2017;Martínez-Espinosa et al, 2020), and regulate the riverine transport of dissolved and particulate material, including sediment and organic matter (Armijos et al, 2020;Fassoni-Andrade and Paiva, 2019;Melack and Forsberg, 2001;Ward et al, 2017). Additionally, human settlements along Amazon wetlands (Blatrix et al, 2018;Denevan, 1996) benefit from ecosystem services, including food provision from native plants and animals as well as crop and livestock production (Coomes et al, 2016;Jardim et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

How much inundation occurs in the Amazon River basin?

Fleischmann

Papa

Fassoni‐Andrade

et al. 2021

Preprint

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The Amazon River basin harbors some of the world's largest wetland complexes, which are of major importance for biodiversity, the water cycle and climate, and human activities. Accurate estimates of inundation extent and its variations across spatial and temporal scales are therefore fundamental to understand and manage the basin's resources. More than fifty inundation estimates have been generated for this region, yet major differences exist among the datasets, and a comprehensive assessment of them is lacking. Here we present an intercomparison of 29 inundation datasets for the Amazon basin, based on remote sensing only, hydrological modeling, or multi-source datasets, with 18 covering the lowland Amazon basin (elevation < 500 m, which includes most Amazon wetlands), and 11 covering individual wetland complexes (subregional datasets). Spatial resolutions range from 12.5 m to 25 km, and temporal resolution from static to monthly, spanning up to a few decades. Overall, 31% of the lowland basin is estimated as subject to inundation by at least one dataset. The long-term maximum inundated area across the lowland basin is estimated at 599,700 ± 81,800 km² if considering the three higher quality SAR-based datasets, and 490,300 ± 204,800 km² if considering all 18 datasets. However, even the highest resolution SAR-based dataset underestimates the maximum values for individual wetland complexes, suggesting a basin-scale underestimation of ~10%. The minimum inundation extent shows greater disagreements among datasets than the maximum extent: 139,300 ± 127,800 km² for SAR-based ones and 112,392 ± 79,300 km² for all datasets. Discrepancies arise from differences among sensors, time periods, dates of acquisition, spatial resolution, and data processing algorithms. The median total area subject to inundation in medium to large river floodplains (drainage area > 1,000 km²) is 323,700 km². The highest spatial agreement is observed for floodplains dominated by open water such as along the lower Amazon River, whereas intermediate agreement is found along major vegetated floodplains fringing larger rivers (e.g., Amazon mainstem floodplain). Especially large disagreements exist among estimates for interfluvial wetlands (Llanos de Moxos, Pacaya-Samiria, Negro, Roraima), where inundation tends to be shallower and more variable in time. Our data intercomparison helps identify the current major knowledge gaps regarding inundation mapping in the Amazon and their implications for multiple applications. In the context of forthcoming hydrology-oriented satellite missions, we make recommendations for future developments of inundation estimates in the Amazon and present a WebGIS application (https://amazoninundation.herokuapp.com/) we developed to provide user-friendly visualization and data acquisition of current Amazon inundation datasets.

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Flooding risk of cropland areas by repiquetes in the western Amazon basin: A case study of Peruvian Tamshiyacu City

Valenzuela

Figueroa

Armijos

et al. 2023

Journal of Hydrology: Regional Studies

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The influence of seasonal river flooding in food consumption of riverine dwellers in the central Amazon region: an isotopic approach

Cited by 6 publications

References 50 publications

Impacts of market economy access and livelihood conditions on agro-food transition in rural communities in three macro-regions of Brazil

Impacts of market economy access and livelihood conditions on agro-food transition in rural communities in three macro-regions of Brazil

How much inundation occurs in the Amazon River basin?

Flooding risk of cropland areas by repiquetes in the western Amazon basin: A case study of Peruvian Tamshiyacu City

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