Hume, Mo and Mount, Nick and Teeuw, Richard and Argyriou, Nasos and Burnside, Neil and Montcoudiol, Nelly and Gillies, Allan
(2022).
Colombia River Stories Datasets Archive, 1994-2020.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-855298
Colombia is in the process of transitioning from one of the most protracted civil conflicts in the world to peace. However, one of the major societal issues for post-conflict transitions in Colombia is how to ensure the inclusion and participation of vulnerable and marginalised groups in transition processes so that their knowledges, abilities and capacities are represented, and so that they can influence post-conflict development. This raises questions of how innovative community- engaged and participatory processes can achieve greater inclusivity in peace building processes. It also raises the question of how different conflict actors can be encouraged and facilitated to articulate their knowledge and experience of conflict in ways that enable their actions to be explained to one another, and that support a shift from narrow understandings of the causes of conflict based on personal experience to more expansive understandings that are based on collective experiences.
In this research, we focus on riverine communities along the Atrato River - the main artery of Choco. These communities have been deeply impacted by armed actors who are engaged in widespread, illegal alluvial gold mining which is a key factor in their forced displacement and the loss of traditional, sustainable livelihoods. Despite a 2017 Colombian Constitutional Court ruling to empower riverine communities with 'bio-cultural rights' that protect their land title and livelihoods, they remain marginalised. They struggle to make their voices heard and to influence and inform peace building processes. This marginalisation has also been experienced by the river itself, whose voice has been silenced through the abandonment of state-sponsored environmental monitoring programmes at the height of the conflict. As a result, the effects of conflict and alluvial mining on the form and function of the river, and the impacts of these on interactions between armed actors, the river, and the communities it sustains are poorly understood. This will only be addressed if marginalised voices of communities and the river are articulated and amplified so that their knowledges, abilities and capacities can be integrated into sustainable peace building processes. Achieving this is the primary aim of this project.
Conceptually, our project builds on a key emphasis of peace processes worldwide: the capture and re-telling of testimony so that conflict actors can better appreciate the complexities of the conflict in which they are engaged, and the inter-relationships and feedbacks between their actions, and those of others, which fuel the conflict. Such knowledge is a fundamental precursor to the development of sustainable and feasible strategies for peace. The project is structured and designed to elicit, analyse and co-produce testimonies as an integrated 'river story', sourced from multiple participants and perspectives - including marginalised human actors and the river itself. The project therefore uses an innovative and multi- disciplinary methodology that brings social scientists and natural scientists together - integrating their research methods and techniques to capture human stories through community-level, participatory research and the river's story through field- based scientific monitoring and environmental reconstruction and mapping. The story books that are produced, and the policy briefs that they underpin, will be the vehicles through which policy-makers are bought into dialogue with the marginalised voices of both riverine communities and the river itself, and thorough which they improved understandings of the key actors and drivers of conflict in Choco' and the priorities and strategies for sustainable peace building, will be gained.
Data description (abstract)
The goal of the project is the environmental monitoring of water resources using an innovative and multi-disciplinary methodology that brings social scientists and natural scientists together - integrating their research methods and techniques to capture human stories through community-level, participatory research and the river's story through field-based scientific monitoring and environmental reconstruction and mapping.
The social science data of the project includes in-depth life history style interviews with individuals from the Afro-Colombian and Indigenous communities of the Atrato. The project used purposive sampling, recruiting participants through local contacts and then ‘snowballing’ for additional participants.
As part of our citizen science programme, monitoring of the Rio Quito was carried out on a weekly basis by a local community. The monitoring consisted of measurement of in-situ parameters (turbidity, pH, conductivity, dissolved oxygen and temperature) and water sampling of Rio Quito. They also monitored the bacterial contamination of their drinking water.
The hydrogeochemical data sets were based on a range of analytical results carried out on water (river and rain) and soil (riverbank and river bottom) samples, predominantly from the Rio Quito and the town of Quibdo. The parameters being acquired were the water temperature, pH, specific electrical conductivity (SEC), total dissolved solids (TDS), oxidation reduction potential (ORP), dissolved oxygen (DO), alkalinity, major anion and cations, water stable isotopes and suite of dissolved and total metals in water.
The satellite images archive consists of temporal satellite images between 1994- 2020 that were pre-processed and processed in order to highlight changes that were observed along the river bank due to anthropogenic action. A temporal change detection analysis has been evaluated by highlighting the observed changes through time.
Atrato Subcatchment Sediment Load Estimation & analysis of mining impacts on the planform of the Rio Quito quantifies the ways and extent to which alluvial gold mining in the Chocó has impacted the geomorphological form and function of the rivers in which it occurs. It specifically focusses on the assessment of mining impacts on:
1. total river sediment loads;
2. river suspended sediment concentration and turbidity;
3. river channel planform.
The results presented contribute to the wider project objective of understanding the ways in which mining-driven changes to river form and function intersect with, and influence, the socio-economic, social-political, and socio-cultural systems that drive alluvial gold mining and conflict in the Chocó.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Hume Mo |
University of Glasgow |
https://orcid.org/ 0000-0002-5716-6672
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Mount Nick |
University of Nottingham |
https://orcid.org/0000-0003-4443-7549
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Teeuw Richard |
University of Portsmouth |
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Argyriou Nasos |
University of Portsmouth |
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Burnside Neil |
Niversity of Strathclyde |
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Montcoudiol Nelly |
University of Glasgow |
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Gillies Allan |
University of Glasgow |
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Sponsors: |
ESRC
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Grant reference: |
ES/S001883/1
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Topic classification: |
Natural environment Politics Science and technology Society and culture
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Keywords: |
SATELLITES, ENVIRONMENTAL CHANGES, RIVERS, TROPICAL FORESTS, ENVIRONMENTAL AWARENESS, ENVIRONMENTAL DEGRADATION, ENVIRONMENTAL MONITORING, GEOGRAPHY, WATER RESOURCES, CHEMISTRY, SAMPLING PROCEDURES, CONFLICT, PEACE AND CONFLICT STUDIES, ECONOMIC AND SOCIAL DEVELOPMENT
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Project title: |
Colombia River Stories:improving socio-environmental understandings for building sustainable peace
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Grant holders: |
Mo Hume, Edward Caicedo, Richard Teeuw, LUCY MARISOL RENTERIA MOSQUERA, Orfelina Medina, Teresa Ochoa Palacios, Alex Maurcio Jimenez, Neil Burnside, Katty Romana, Nicholas Mount
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Project dates: |
From | To |
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14 August 2018 | 13 August 2021 |
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Date published: |
16 Dec 2021 17:30
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Last modified: |
26 Jan 2022 18:01
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Temporal coverage: |
From | To |
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1 January 1994 | 1 July 2020 |
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Collection period: |
Date from: | Date to: |
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14 August 2018 | 13 August 2021 |
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Geographical area: |
Colombia |
Country: |
Colombia, United Kingdom |
Spatial unit: |
Other |
Data collection method: |
Social science data acquisition:
-Participants include a mix of men and women, and age groups. Interviews were semi-structured, with participants invited to reflect on their personal and community histories, their relationship with the river and their territory, and the challenges facing Chocó. These interviews are supplemented with focus groups with community leaders and civil servants, and ‘elite’ or ‘expert’ interviews, including representatives of government agencies and non-governmental organisations. These interviews tend to focus on the wider social, political and economic context of Chocó. Given the sensitivities of the topics covered in the data, all transcriptions have been anonymised (and therefore redacted) in accordance with the project’s ethical protocols to protect the safety of participants. For further information read documentation ("Social Science Data, Colombia River Stories, UK Data Service.pdf").
Citizen science data acquisition:
-Most of the environmental monitoring of water resources data were collected through a citizen science environmental monitoring programme. Additional data were collected by the project team. Read documentation on how data was collected ('01_Method_Data_Collection.pdf').
Hydrogeochemical data sets:
-Measurements of water in-situ parameters using hand-held devices, water and sediment sampling for ion chemistry, water stable isotopes, water metal speciation, water and soil metal speciation. Read documentation on how data was collected and manipulated ('Colombia River Stories chemistry data deposit info.docx' & ‘Colombia River Stories hydrochemical data.xls’).
Satellite imagery data acquisition:
-Pre-processing of satellite imageries such as atmospheric, radiometric and geometric correction. Satellite image noise removal.
-Processing of satellite imageries in order to highlight changes thought the time. Creation of false colour composites of temporal images. Read documentation for further information ('01_River_Stories_RS_detecting_monitoring_deforestation_mining.pdf')
The Atrato Subcatchment Sediment Load Estimation & analysis of mining impacts on the planform of the Rio Quito:
- Use of BQART empirical model to account for the long-term variance in catchment sediment fluxes (± 30 years), and recent studies have shown that BQART can be used to successfully capture the inter-annual variance in river sediment fluxes.
- Use of a simplification of the sediment erosion / transport system by assuming that topsoil is a primary contributor to the elevated sediment loads that mining generates – an assumption that is supported by field observations that indicate a total loss of soil in areas that have been mined.
- A sediment load estimation and planform analysis procedure based on diverse variables, datasets and factors.
- Read documentation for further information ('Technical Document Mining Impacts on Rio Quito December 2020.pdf'; 'Atrato Subcatchment Pre-Mining Sediment Load Estimation Methodology.docx'; 'Rio Quito Planform Analysis Methodology.docx'). |
Observation unit: |
Individual, Geographic unit, Time unit, Group, Other |
Kind of data: |
Numeric, Text, Geospatial, Other |
Type of data: |
Experimental data
, Geospatial data
, Historical data, Other surveys, Qualitative and mixed methods data, Time series data |
Resource language: |
English, Spanish |
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Data sourcing, processing and preparation: |
The social science datasets were collected between January 2019 to January 2020 in Colombia. The data collection was consisting of semi-structured interviews both individuals and social groups. The kind of data was transcriptions and in Spanish language. Informed consent was obtained for the data. The transcriptions have been redacted to protect the anonymity of research participants. There are no copyright issues.
The citizen science environmental monitoring programme was providing the following information on a weekly basis:
Geolocation of the monitoring point; • Measurement of the water level of Río Quito; • Measurement of in-situ physico-chemical parameters of Río Quito (turbidity, temperature, dissolved oxygen, pH and conductivity); • Water sampling of Río Quito; • Observations relevant to data interpretation. The team had to check on a monthly basis whether the instruments needed calibration or not. The community consigned the results in their record book supplied by the project team. All results are documented (photos) and communicated to the UK-based project team via a dedicated WhatsApp group. Read documentation on how data was collected ('01_Method_Data_Collection.pdf').
The hydro chemical data sets were acquired based on the following equipment. DO was measured using a Hach SensION + DO6. Alkalinity was determined as CaCO3 with a Hach Model 16900 digital titrator, using nitric acid and bromcresol green - methyl red pH indicator. All other parameters measured using a Myron P Ultrameter. Read documentation on how data was collected and manipulated ('Colombia River Stories chemistry data deposit info.docx' & ‘Colombia River Stories hydrochemical data.xls’).
The temporal satellite imageries were derived by European Space Agency (ESA). They were processed and prepared for interpretation and change detection analysis by using open source software such as QGIS and SNAP software's. Read documentation for further information ('01_River_Stories_RS_detecting_monitoring_deforestation_mining.pdf')
In the Atrato Subcatchment Sediment Load Estimation & analysis of mining impacts on the planform of the Rio Quito, in the pre-minig phase the BQART model relates catchment suspended sediment yield and:
• geomorphic and tectonic influences through the parameters catchment area and catchment relief;
• hydro-meteorological and physiographic influences through catchment temperature, water discharge and glacier extent;
• geological controls on catchment erosivity;
• human activities that may accelerate or mitigate soil erosion or trap sediment.
- ALOS PALSAR 12.5 m digital elevation model was acknowledged and processed using the hydrologic modelling tools in ArcGIS 10.4. - Particular parameters were computed from the digital 1:100,000 Geological Map of Colombia using a GIS.
-Monthly mean values of essential time variant parameters and mean monthly temperature were computed from the daily temperature data set available from the NOAA NCEP climate prediction centre.
-A Monte Carlo uncertainty estimation procedure coded in the computing software ‘R’ to propagate errors applied to each of the BQART model parameters so that the extent to which sub-catchment suspended sediment yields can be clearly differentiated from one another could be explored. Read documentation for further information ('Atrato Subcatchment Pre-Mining Sediment Load Estimation Methodology.docx').
- In the post-mining phase digital maps of the annual mined areas derived from remotely-sensed imagery were spatially-intersected with the 1:100,000 digital soil map of Colombia in a GIS and combined with attributes of the intersected soil types to deliver annual estimates of suspended sediment and bedload yield.
- In the planform analysis in order to characterise the pre-mining planform of the Rio Quito from historical mapping used by IGAC as base maps for plotting the flight paths of aerial photography conducted to the north of Quibdó between 1970 and 1980. To facilitate the downstream analysis of patterns of planform change the pre-mining Rio Quito main channel was zoned into 10 km long analytical reaches according to distance upstream of the catchment outflow at San Isidro. The digitised polyline representing the main Rio Quito channel was point-sampled every 10,000 m and segmented - resulting in nine analytical reaches. Read documentation for further information ('Rio Quito Planform Analysis Methodology.docx').
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Rights owners: |
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Contact: |
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Notes on access: |
The UK Data Archive has granted a dissemination embargo. The embargo will end on 16 December 2022 and the data will then be available in accordance with the access level selected.
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Publisher: |
UK Data Service
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Last modified: |
26 Jan 2022 18:01
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