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Gendered understandings of the natural environment: The interaction of environmental assets with other households assets for improving wellbeing
Creator
Bradshaw, S, Middlesex University
Nascimento, N, Universidade Federal de Minas Gerais
Juntti, M, Middlesex University
Lundy, L, Middlesex University
Britte, R, Universidade Federal de Minas Gerais
Costa, H, Universidade Federal de Minas Gerais
Wade, R, Abertay University
Oki, Y, Universidade Federal de Minas Gerais
Viana Caballero, I, Universidade Federal de Minas Gerais
Study number / PID
852547 (UKDA)
10.5255/UKDA-SN-852547 (DOI)
Data access
Information not available
Series
Not available
Abstract
The data collected during this project is:
(1)Scientific environmental assessment of the Nova Contagem area and analysis of potential ecosystem-services.
(2)Semi-structured interviews with women and men in and around Nova Contagem, including interviews with visitors to the local reservoir and surrounding countryside and walking interviews.
(3)Questionnaires undertaken with women and men living in and visiting 'down town' Nova Contagem.The UN Convention on Biological Diversity promotes using an ecosystems approach (EA) to support the delivery of ecosystem services and benefits (ESB) as a dynamic conceptualisation of environmental quality. It is promoted as enabling an easier integration of environmental goods and services into economic processes and policies. However, many researchers suggest that an EA is 'science in the making' and emerging policy initiatives overlook complexities that stem from both uncertain scientific underpinnings and socio-economic divisions. These include gender divisions and inequalities, yet these topics are largely absent from ESB discussions. While feminist writers (and others) suggest caution with adopting an EA, ADEPT seeks to explore if and how the approach could be useful for promoting wellbeing for women and men. While environmental justice scholars have long suggested that socio-economic hardship and the distribution of environmental goods and bads are correlated, recent applications of intersectional theory suggest that practical experiences of exclusion from opportunity always intermesh with other divisions such as those based on race, social class, disability status, sexuality, age and geographical location. There is then a need to address environmental and socio-economic vulnerability in an integrated manner. To do so an EA needs to first address a binary exclusion; firstly, there is a need to highlight ways in which ESB frame environmental quality, often affording stronger representation to expert interpretation of how...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2015 - 19/08/2016
Country
Brazil
Time dimension
Not available
Analysis unit
Household
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Geospatial
Still image
Numeric
Text
Data collection mode
This project looks at how to better understand how environmental assets interact with other assets to improve women and men’s well-being, reduce poverty and vulnerability, and thus promote more resilient and gender just urban spaces. A number of different interdisciplinary methods were used to establish the potential and actual ES in the area, these included:1. A scientific environmental assessment of the potential ES in the catchment2. Qualitative interviews around the natural environment and how it is accessed and understood by those living in and around Nova Contagem 3. Narrative walks using a phone application to record thoughts on, and images of, the natural environment in which the participants live4. A small survey measuring asset stocks, and exploring understandings of assets, how they interact with each other for those living, working, or frequently visiting Nova Contagem1] Using land cover maps, the three case study areas were classed as containing varying combinations of biophysical structures. Satellite images were then used to further interrogate the case study areas to identify and group biophysical structures according to their dominating structures (e.g. scale, level of management, presence of water). Site walkovers were undertaken during which the presence of biophysical structure types were verified and subjectively translated into service providing units (SPUs; see Table below). This translation activity is undertaken as a way to link biophysical structures with land use cover typologies. ES data from the literature (e.g. MEA, 2005, UK NEA 2011, Gomez-Baggethun et al., 2013, Lundy and Wade 2011), combined with field notes, were used to identify the potential ES and goods delivered by each urban SPU.2] Some 26 qualitative semi-structured interviews were undertaken in the home of residents within the communities studied and were recorded and then transcribed. Typically lasting 40 minutes to an hour, they covered issues such as how the participant came to live in the barrio, what they most liked about it and most disliked, what they thought of the local public parks and squares, of the countryside surrounding the barrio and of the reservoir and other blue space. It sought to understand how the participants engaged with the environment and how they understood nature and what it meant to them in terms of wellbeing. The qualitative interviews were undertaken in 3 growing urban communities, with 10 interviews in in Nova Contagem (6 women and 4 men), and 16 in two smaller urban areas which had expanded on the banks of the Vargem das Flores reservoir (7 women and 9 men). Visitor interviews were also undertaken with people visiting the Vagen de Flores (VF) Reservoir 11 (5 women and 6 men). 3] In addition to the qualitative interviews a selection of the same respondents were also undertook a walking interview (9) through their urban environment. The walking narratives used a smart phone application, which allowed images of ‘likes’ and ‘dislikes’ to be recorded. 4] A questionnaire survey (395 respondents) sought to get some measure of the assets of those questioned – human, social, financial and natural and the extent to which they valued the natural environment as an asset. The quantitative interviews allowed associations to be draw between different assets, and logistic regression modelling was used to provide a robust assessment of how different assets impact on each other and what predicts, for example, greater engagement with the natural environment. It sought to analyse the data patterns and differences by gender and ‘income’.
Funding information
Grant number
ES/M011631/1
Access
Publisher
UK Data Service
Publication year
2017
Terms of data access
The Data Collection only consists of metadata and documentation as the data could not be archived due to legal, ethical or commercial constraints. For further information, please contact the contact person for this data collection.