Notes from the second day of the BES/sfé annual meeting (see first day notes here)
Several talks in sessions that attracted my attention:
Daniel Richards (National University of Singapore) looked at cultural ecosystem services from social media sources. He mentioned previous study by Casalegno at al 2013 study on social media and ecosystem services . In Singapore they carry out a study for the few green spaces that are used for leisure and nature reserves – the rest of the place is famously highly urbanised. There are patches of coastal habitat that are important locally. The analysis looked at Flickr photos to reveal interest. There are 4 study sites, with 760 photos that were returned and of them 683 related to coastal habitat. They use classification of content, with 8 people analysing the photos. Analysis of Flickr showed different aspects – landscape in one site, and wildlife in another site. In one site there are research photos due to the way it is used locally. Looking closely to one coastal site, focal points in the route where people stopped to take a picture stood out, and landscape photos. All the photos follow the boardwalk in the area of Changi which is the only route. Simulation showed that after 70 photos they can get a good indication of the nature of the place, no need to look through all the images.
Barbara Smith explored the role of indigenous and local knowledge as part of a multiple evidence base for pollinator conservation. The context is India in agricultural area – looking at places where there is more extensive agriculture and less. The project aim is to record pollinators and then explore the impact of landscape and crop productivity . In this study, the starting point was the belief that traditional knowledge has a lot of value, and it is a knowledge that can be integrated with scientific information. She mentioned Tengo et al 2013 discussion paper in IPBES on the value of local knowledge, and also Sutherland et al 2014 paper in Oryx about the need to integrate indigenous knowledge in ecological assessment. The aim to collate knowledge of trends, they created a local peer-review process to validate local knowledge. Understanding factual data collection and separate it from inferences which are sometime wrong. They carry out small group discussions, in which they involved 5-7 farmers, in each of the 3 study area they had 3 groups. They asked questions that are evidence gathering (which crop you grow?) and also verification (how do you know?) they also ask opinion scoping (perceptions ) and then ‘why did you observed the change?’. In the discussions with the farmers they structured in around questions that can be explored together. After the first session, the created declarations – so ‘yields have fallen by 25%’ or crop yield declined because of the poor soil’ the statements were accepted or rejected through discussion with the farmers – local peer-review. Not all farmers can identify pollinators, and as the size goes down, there is less identification and also confusion about pests and pollinators. The farmers identified critical pollinators in their area and also suggestions on why the decline happen.
In the workshop on ‘Ecosystem assessments – concepts, tools and governance‘ there was various discussion on tools that are used for such purposes, but it became clear to me that GIS is playing a major role, and that many of the fundamental discussions in GIScience around the different types of modelling – from overlaying to process oriented modelling – can play a critical role in making sense of the way maps and GIS outputs travel through the decision making. It can be an interesting area to critically analysed – To what degree the theoretical and philosophical aspects of the modelling are taken into account in policy processes? The discussion in the workshop moved to issues of scientific uncertainty and communication with policy makers. The role of researchers in the process and the way they discuss uncertainty.
In the computational ecology session, Yoseph Araya presented a talk that was about the use of citizen science data, but instead he shared his experience and provide an interesting introduction to a researcher perspective on citizen science. He looked at the data that is coming from citizen science and the problem of getting good data. Citizen Science gaining attention – e.g. Ash die-back and other environmental issues are leading to attention. Citizens are bridging science, governance and participation. Citizen Science is needed for data at temporal, spatial and social scales and we should not forget that it is also about social capital, and of course fun and enjoyment. There is an increase in citizen science awareness in the literature. He is building on experience from many projects that he participated in include Evolution Megalab, world water monitoring day, floodplain meadows partnership, iSpot and OPAL, and CREW – Custodians of Rare and Endangered Windflowers (that’s a seriously impressive set of projects!). There are plenty of challenges – recruitment, motivation; costs and who pays; consideration of who run it; data validation and analysis and others. Data issues include data accuracy, completeness, reliability, precision and currency. He identified sources of errors – personnel, technical and statistical. The personal – skills, fitness and mistakes and others. Potential solutions – training with fully employed personnel, then also monitor individual and also run an online quiz. Technically, there is the option of designing protocols and statistically, it is possible to use recounts (15%), protocols that allow ‘no data’ and other methods.
The poster session included a poster from Valentine Seymour, about her work linking wellbeing and green volunteering