Establishing the SEEA Ecosystem Accounting as a global standard

Edens, Bram; Hein, Lars; Obst, Carl; Siikamäki, Juha; Schenau, Sjoerd; Javorsek, Marko; Chow, Julian T; Chan, Jessica; Steurer, Anton; Alfieri, Alessandra

doi:10.1016/j.ecoser.2022.101413

Cited by 70 publications

(28 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In line with this idea, the European Commission remarks that the EU's economic prosperity and wellbeing are underpinned by its natural capital. Similarly, in 2021, the United Nations adopted a new statistical framework to complement the economic accounts with the natural capital accounts (Edens et al, 2022).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Nuts and bolts of tropical tuna purse seine nets recycling: A circular business model

Andrés¹,

Zudaire²,

Larreta³

et al. 2022

Front. Sustain.

View full text Add to dashboard Cite

Tropical tuna purse seiners are one of the most important contributors to end-of-life (EoL) fishing gears in the world, and these fishing nets can become a promising secondary raw material. Thus, tuna companies are looking for possibilities to valorize them by applying circular economy (CE). This contribution aims at assessing the viability of creating a circular business model out of recycled tropical tuna purse seine EoL nets. The yearly contribution of the Spanish tuna freezer purse seine companies to EoL fishing nets was estimated at 900 tons. Three pilot projects were implemented (involving 80 tons of EoL tuna nets) to learn about the monetary and material flows, supply chain, stakeholders' perception, and the environmental impacts of upcycling polyamide nets into four marketable products (i.e., conditioned fishing nets, backpacks, fishers' dungarees, and sunglasses). The results indicate that recycled regrinds/flakes and pellets were 37 and 50%, respectively, more expensive than virgin counterparts, but the yarn may achieve competitive production costs in the textile industry, with an additional environmental benefit close to 69% per kg of virgin–origin yarn. The challenges faced when recycling EoL polyamide fishing nets were discussed. Innovation and logistics appear to play a fundamental role in making the business sustainable. Besides, the circular business model methodology to assess the value proposition was also discussed in its empirical application.

show abstract

Section: Theoretical Frameworkmentioning

confidence: 99%

Nuts and bolts of tropical tuna purse seine nets recycling: A circular business model

Andrés¹,

Zudaire²,

Larreta³

et al. 2022

Front. Sustain.

View full text Add to dashboard Cite

show abstract

“…Building on these structured formulations, two recent international efforts have sought to further integrate the ecosystems services concept into decision-making: the System of Environmental-Economic Accounting Ecosystem Accounting (SEEA EA) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) (IPBES, 2019;United Nations et al, 2021). The SEEA EA is an internationally agreed statistical framework that accounts for ecosystems and the services they provide to people in a way consistent with the System of National Accounts (SNA) which tracks countries' economic activity (Edens et al, 2022). The framework allows for various indicators, both monetary and non-monetary, to track the contributions of ecosystems to the economy and well-being with a strong spatial underpinning (Hein et al, 2020a).…”

Section: Ecosystem Service Assessmentsmentioning

confidence: 99%

“…As the SEEA EA establishes itself as an international statistical framework for use in environmental monitoring, several new research priorities have been identified (Edens et al, 2022). One of these includes the spatial modelling of ecosystem services and its further development, especially with respect to the use of ecosystem services and its relation to ecosystem capacity, the ability of an ecosystem to generate an ecosystem service (United Nations et al, 2021).…”

Section: Seea Eamentioning

confidence: 99%

“…However, to inform decision-making at large scales, a level of generalisation is still needed (Gould et al, 2019a;Norton et al, 2012). The generalising perspective put forward by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) therefore suggests a universally applicable set of CES categories (Díaz et al, 2018), as does the System of Environmental-Economic Accounting Ecosystem Accounting (SEEA EA) framework which aims to better represent ecosystem value in national statistics (Edens et al, 2022;Hein et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

“…However, land management policies, especially at large scales, are often restricted by the amount of quantitative, spatially-explicit information available (Edens et al, 2022;Gould et al, 2020b). As well as employing a number of qualitative methods such as deliberative approaches, CES assessments also seek to provide quantitative information on ecosystem service supply to achieve sustainable policy goals (Raymond et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Crowdsourced data and machine learning to measure cultural ecosystem services

Havinga

View full text Add to dashboard Cite

Cultural ecosystem services (CES) are some of the most valuable contributions of ecosystems to human well-being. Nevertheless, these services are often underrepresented in ecosystem service assessments. Defining CES for the purposes of spatial quantification has been challenging because it has been difficult to spatially model CES. However, rapid increases in mobile network connectivity and the use of social media have generated huge amounts of crowdsourced data. This offers an opportunity to define and spatially quantify CES. We inventoried established CES conceptualisations and sources of crowdsourced data to propose a CES definition and typology for spatial quantification. Furthermore, we present the results of three spatial models employing crowdsourced data to measure CES on Texel, a coastal island in the Netherlands. Defining CES as information-flows best enables service quantification. A general typology of eight services is proposed. The spatial models produced distributions consistent with known areas of cultural importance on Texel. However, user representativeness and measurement uncertainties affect our results.Ethical considerations must also be taken into account. Still, crowdsourced data is a valuable source of information to define and model CES due to the level of detail available. This can encourage the representation of CES in ecosystem service assessments.

show abstract

Social media and deep learning reveal specific cultural preferences for biodiversity

et al. 2023

Self Cite

View full text Add to dashboard Cite

Social media has created new opportunities to map cultural ecosystem services (CES) related to biodiversity at large scales. However, using these novel data to understand people's preferences in relation to these CES remains a challenge. To address this, we trained a deep learning model to capture people's interactions with selected flora and fauna on Flickr as a cultural service related to biodiversity and compared this with citizen science data on iNaturalist, with photos of individual species considered as human–species interactions. After mapping the distribution of people's interactions in Great Britain on Flickr and iNaturalist, we find significant spatial differences in people's preferences on the two platforms. Using a second, pretrained deep learning model, we were also able to identify different preferences for species groups such as birds on social media versus citizen science. To better understand people's preferences, we also compared people's interactions with species richness and abundance for a group of 36 bird species, sometimes finding large differences between people's interactions and these ecological measures. Our findings demonstrate that social media can be used to include a wider range of preferences in CES assessments along‐side citizen science data. However, these preferences reflect only a limited first‐hand experience of biodiversity. Read the free Plain Language Summary for this article on the Journal blog.

show abstract

Establishing the SEEA Ecosystem Accounting as a global standard

Cited by 70 publications

References 9 publications

Nuts and bolts of tropical tuna purse seine nets recycling: A circular business model

Nuts and bolts of tropical tuna purse seine nets recycling: A circular business model

Crowdsourced data and machine learning to measure cultural ecosystem services

Social media and deep learning reveal specific cultural preferences for biodiversity

Contact Info

Product

Resources

About