Spatial social value distributions for multiple user groups in a coastal national park

Ancona, Zachary H.; Bagstad, Kenneth J.; Le, Lena; Semmens, Darius J.; Sherrouse, Benson C.; Murray, Grant; Cook, Philip S.; DiDonato, Eva

doi:10.1016/j.ocecoaman.2022.106126

Cited by 8 publications

(22 citation statements)

References 50 publications

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“…Articles were published in a range of scientific journals, among which almost 60% were the following: "Ocean and Coastal Management" (20%), "Ecosystem Services" (14%), "Journal of Environmental Management" (10%), "Marine Policy" (8%), and "Ecological Indicators" (8%). A total of 70% of the articles were authored by the scientific community, whilst 30% resulted from the collaboration between academics and government/authorities, or/and other organizations (e.g., NGOs or private companies) [10,53,54]. The spatial distribution of the papers is presented in Figures 3 and 4.…”

Section: Spatial and Temporal Distribution Of The Papersmentioning

confidence: 99%

“…Additionally, in some papers, participants assigned a relative value (e.g., level of attachment or level of importance) to the identified spatial features by different means, such as (1) the use of a scale by drawing with different colors of markers or by placing different colors of stickers on the map [50,64,79]; (2) by the distribution of tokens or points [24,53,66,77]; or (3) by directly ranking the spatial features (areas of value) from the most-to the least-important ones [54,74].…”

Section: Use Of Participatory Geographic Information Systems (Gis)mentioning

confidence: 99%

“…Finally, in some cases, participants indirectly assigned a specific value in these areas by rating the intensity of each activity performed [78] or by indicating the number of activities usually performed [63]. As a result, we came across various maps: ■ hotspot maps [64]; ■ hot and cold spot maps [50,53]; ■ heat maps (density maps) [74]; ■ point distribution maps [9,58,80]; ■ cluster maps [74]; and ■ maps of ES bundles [61].…”

Section: Use Of Participatory Geographic Information Systems (Gis)mentioning

confidence: 99%

“…Another 15% of the papers combined participatory mapping with InVEST modeling to map the cumulative risk per type of habitat from activities undertaken by direct users in Brazil [67,78]. In other cases (15%), participatory mapping was combined with maximum entropy models, for instance, to map social value distributions for multiple user groups in a coastal national park in North Carolina [53]. Other papers tried to determine whether the PGIS and flicker data identified similar social and environmental drivers of the social values and produced similar predictions [71].…”

Section: Use Of Participatory Geographic Information Systems (Gis)mentioning

confidence: 99%

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Mapping and Assessing Cultural Ecosystem Services to Inform Maritime Spatial Planning: A Systematic Review

Banela,

Kyvelou,

Kitsiou

2024

Heritage

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Socio-cultural dimensions and values in maritime spatial planning (MSP) are gaining momentum worldwide and especially in the European Union (EU), since it is acknowledged that they are the “missing layer” of maritime spatial plans (MSPlans). These values are partly explored through cultural ecosystem services (CES). Coastal and marine CES refer to the benefits that humans derive from the coastal and marine environments in recreational, artistic, spiritual, and educational terms. They reflect the ways in which coastal and marine ecosystems contribute to human well-being, cultural identity, and interactions with nature. The research question is how to map and assess coastal/marine ecosystem services and to integrate them in the MSPlans. Thus, this systematic review sheds light on methodological and technical issues with CES mapping and assessment and provides guidance on how to incorporate CES in MSP for future research. Publications dealing with the spatial aspects of CES were examined with an extra focus on participatory mapping approaches. Initially, 199 articles were identified, and 50 articles were ultimately eligible for the analysis. Papers were concentrated in the European Atlantic, whilst their scope was either local or regional. A large number of articles consider the contribution of CES to efficient marine management rather than to achieving an integrated and coordinated MSP. Social and mixed mapping approaches were met with the most often, especially participatory mapping approaches. Also, non-monetary valuation was prevailing, and a multitude of techniques, tools, and statistical software were used. In most of the cases, the distribution of values in relation to environmental, socio-economic, and demographic factors was examined. This article concludes that an effective integration of CES into MSP is crucial for creating prospects of a more sustainable and inclusive approach to coastal/marine planning and for the well-being of ecosystems and communities both currently and for future generations. This knowledge should become “property” of the maritime spatial planners.

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Section: Spatial and Temporal Distribution Of The Papersmentioning

confidence: 99%

Section: Use Of Participatory Geographic Information Systems (Gis)mentioning

confidence: 99%

Section: Use Of Participatory Geographic Information Systems (Gis)mentioning

confidence: 99%

Section: Use Of Participatory Geographic Information Systems (Gis)mentioning

confidence: 99%

See 2 more Smart Citations

Mapping and Assessing Cultural Ecosystem Services to Inform Maritime Spatial Planning: A Systematic Review

Banela,

Kyvelou,

Kitsiou

2024

Heritage

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“…In other studies survey derived points data and explanatory variables (environmental or demographic) have been used together in simulations to map social processes across geographical regions, see for example (Funkner et al 2021 ; Ancona et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Mapping social capital across Wales (UK) using secondary data and spatial analysis

et al. 2023

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Social capital, a powerful community resource based on trust, relationships, norms, culture, values, networks and belonging, could shape the acceptance, cooperation, and involvement of citizens towards new policies or interventions. In past, connections of social capital have been studied in relation to human health, wellbeing, social and economic development. More recently, social capital has been studied with respect to human resilience and adaptation to climate change. We argue that social capital could also play a vital role in our efforts to reduce carbon footprint through behaviour change, a shift on shared local renewable energy resources, and adoption of low carbon technologies. In Wales (UK) there is no national scale dataset, reflecting its social capital landscape, that could be used for designing the right policies/interventions in this context, based on an expected level of trust, cooperation, and support within the communities. This paper is an effort to fill this data gap using secondary datasets. Firstly, a literature review is carried out to identify the indicators of social capital (cognitive and participatory). Secondary datasets have then been identified and acquired. Geospatial analysis has been carried out to produce the criterion maps for various indicators of social capital. Finally, Analytical Hierarchy Process is applied to generate a social capital map of Wales combining these indicators together. For validation of the produced data, social capital’s known correlations were tested with crime rates, income level and multiple deprivations.

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Assessing and transferring social value of ecosystem services in wetland parks based on SolVES model

Guan,

Ran,

Zhou

et al. 2023

Ecological Indicators

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Spatial social value distributions for multiple user groups in a coastal national park

Cited by 8 publications

References 50 publications

Mapping and Assessing Cultural Ecosystem Services to Inform Maritime Spatial Planning: A Systematic Review

Mapping and Assessing Cultural Ecosystem Services to Inform Maritime Spatial Planning: A Systematic Review

Mapping social capital across Wales (UK) using secondary data and spatial analysis

Assessing and transferring social value of ecosystem services in wetland parks based on SolVES model

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