Mapping ecosystem services for marine spatial planning: Recreation opportunities in Sub-Antarctic Chile

Nahuelhual, Laura; Vergara, Ximena; Kusch, Alejandro; Campos, Guilherme; Droguett, Daniela

doi:10.1016/j.marpol.2017.03.038

Cited by 59 publications

(35 citation statements)

References 32 publications

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“…Recreational opportunity, or opportunities for recreation and ecotourism, represents the cultural service provided by the ecosystem. Based on the method proposed by Nahuelhual, Vergara, Kusch, Campos, and Droguett (2017), this service was calculated with four attributes and potential activities (horseback riding, recreational fishing, etc.) for the landscape in this study.…”

Section: Recreational Opportunitymentioning

confidence: 99%

Spatial correlations among ecosystem services and their socio-ecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China

et al. 2019

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A B S T R A C TUnderstanding the spatial distributions of multiple ecosystem services (ESs), their associations, and their underlying socio-ecological contributing factors is critical for ES management. Using the city belt along the Yellow River in Ningxia, northwestern China, as a case study, this study quantified the spatial distribution of six ESs (food production, carbon sequestration, carbon storage, nutrient retention, sand fixation and recreational opportunity), analyzed the synergy and trade-off relations among them through correlation analysis, classified ES bundles through a self-organizing map method (SOM), explored the impacts of socio-ecological factors on the ESs through Ordinary Least Square regression (OLS) and Geo-detector analysis, delineated socio-ecological clusters using the SOM, and characterized the relationship between ES bundles and driver clusters through overlap analysis. The results suggest that spatial associations among ESs can be predicted by their driving mechanisms. Synergy relations existed among crop production, carbon sequestration, carbon storage and nutrient retention, and these were impacted by similar driving mechanisms. Synergy also existed between sand fixation and recreational opportunity, but significant differences existed in their driving mechanisms. Trade-off relations were shown between ESs in these two groups at the whole region scale. Three bundles were detected among the six ESs: bundle 1, characterized by recreational opportunity of high supply and other services of limited supply, was located in the transitional region between the central plain and the fringe mountains, and mainly driven by climate and proximity factors; bundle 2, characterized by high sand fixation, medium carbon storage and limited other services, was located in the northwestern and southern mountains and driven by climate and geography factors; bundle 3, characterized by high food production, carbon sequestration, carbon storage and nutrient retention of medium supply and other two services of limited supply, was located in the central plain and driven by vegetation coverage and proximity factors. Human activities can partly overcome the limitations of ecological conditions, thus specific strategies for different regions are proposed to maintain and improve ESs under global climate change.

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Section: Recreational Opportunitymentioning

confidence: 99%

Spatial correlations among ecosystem services and their socio-ecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China

et al. 2019

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“…Opportunity theory implies that “participation in different forms of recreation depends on their availability” [ 6 ]. A considerable number of studies have identified that individuals with physical and financial access to recreation resources can experience a higher quality of life through participation in recreation activities from a long-term perspective [ 7 , 8 , 9 , 10 , 11 , 12 ]. The previous leisure studies using opportunity theory have identified environmental injustices associated with unequal access to parks and inadequate recreation opportunities for underserved populations that affect the physical health of the community at large [ 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Mental Health and Recreation Opportunities

Lee

2020

IJERPH

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The environment has direct and indirect effects on mental health. Previous studies acknowledge that the poor design of communities and social environments leads to increased psychological distress, but methodological issues make it difficult to draw clear conclusions. Recent public health, leisure and recreation studies have tried to determine the relationship between recreation opportunities and mental health. However, previous studies have heavily focused on individual contexts rather than national or regional levels; this is a major limitation. It is difficult to reflect the characteristics of community environments effectively with such limited studies, because social environments and infrastructure should be analyzed using a spatial perspective that goes beyond an individual’s behavioral patterns. Other limitations include lack of socioeconomic context and appropriate data to represent the characteristics of a local community and its environment. To date, very few studies have tested the spatial relationships between mental health and recreation opportunities on a national level, while controlling for a variety of competing explanations (e.g., the social determinants of mental health). To address these gaps, this study used multi-level spatial data combined with various sources to: (1) identify variables that contribute to spatial disparities of mental health; (2) examine how selected variables influence spatial mental health disparities using a generalized linear model (GLM); (3) specify the spatial variation of the relationships between recreation opportunities and mental health in the continental U.S. using geographically weighted regression (GWR). The findings suggest that multiple factors associated with poor mental health days, particularly walkable access to local parks, showed the strongest explanatory power in both the GLM and GWR models. In addition, negative relationships were found with educational attainment, racial/ethnic dynamics, and lower levels of urbanization, while positive relationships were found with poverty rate and unemployment in the GLM. Finally, the GWR model detected differences in the strength and direction of associations for 3109 counties. These results may address the gaps in previous studies that focused on individual-level scales and did not include a spatial context.

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“…En ese sentido se han desarrollado enfoques adaptativos basados en ecosistemas y en comunidades, con objetivos similares y planificación espacial participativa, aunque con distintas prioridades (Reid, 2016). Dichos enfoques buscan modificar la visión utilitarista de la naturaleza y fomentar los procesos de gobernanza en el manejo de los recursos naturales (Blake et al, 2017;Nahuelhual et al, 2017). Dentro de esa tendencia, la inclusión de los Servicios Ecosistémicos (SE), considerados como los bienes y servicios que se derivan de los ecosistemas para beneficio de la humanidad, ocupa un papel trascendental al relacionar el papel de la naturaleza con diversas dimensiones del bienestar humano (MEA, 2005).…”

Section: Introductionunclassified

Valoración Social De Los Servicios Ecosistémicos De Humedales Costeros: Estado Actual Y Perspectivas.

Velázquez

Ruiz‐Luna

2020

Acta biol. Colomb.

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Los Servicios Ecosistémicos(SE) son bienes y servicios que la humanidad obtiene de la naturaleza y a los que se asigna valor ecológico, económico y social, aunque se ha brindado menor atención al estudio de este último. Esta deficiencia es más notable en el caso de los humedales costeros, que proveen importantes SE, escasamente explorados desde la perspectiva social y espacial, pese a su pertinencia en la planificación territorial. Para conocer el estado del arte relativo a la valoración social de SE de humedales costeros y la importancia del análisis espacial en el proceso, se realizó una revisión documental sistemática (2005-2018) que permitió observar una tendencia positiva en el número de publicaciones, en especial en el último trienio. Se identificó que el valor social carece de una definición estandarizada y se ha enfocado a servicios sin valor de mercado, mientras que en lo relativo a dimensión espacial, se encontró que esta se ha venido incorporando con esquemas de mapeo participativo, dirigido a determinar la accesibilidad a sitios de provisión de SE y a la identificación de sitios de valor social dentro de los humedales, sin que la producción de mapas sea relevante. No se encontraron elementos para determinar si la valoración social es complementaria o alternativa a la económica, pero se requiere crear un marco conceptual para la valoración integral basado en la pluralidad de valores de los SE como una estrategia de conservación de los humedales.

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Mapping ecosystem services for marine spatial planning: Recreation opportunities in Sub-Antarctic Chile

Cited by 59 publications

References 32 publications

Spatial correlations among ecosystem services and their socio-ecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China

Spatial correlations among ecosystem services and their socio-ecological driving factors: A case study in the city belt along the Yellow River in Ningxia, China

Mental Health and Recreation Opportunities

Valoración Social De Los Servicios Ecosistémicos De Humedales Costeros: Estado Actual Y Perspectivas.

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