Limits...
Mapping bundles of ecosystem services reveals distinct types of multifunctionality within a Swedish landscape.

Queiroz C, Meacham M, Richter K, Norström AV, Andersson E, Norberg J, Peterson G - Ambio (2015)

Bottom Line: We combined GIS data with publically available information for quantifying and mapping the distribution of services.Additionally, we calculated the diversity of ES for each municipality and used correlations and k-means clustering analyses to assess the existence of ES bundles.We found five distinct types of bundles of ES spatially agglomerated in the landscape that could be explained by regional social and ecological gradients.

View Article: PubMed Central - PubMed

Affiliation: Stockholm Resilience Centre, Stockholm University, Kräftriket 2B, 106-91, Stockholm, Sweden, cibele.queiroz@su.se.

ABSTRACT
Ecosystem services (ES) is a valuable concept to be used in the planning and management of social-ecological landscapes. However, the understanding of the determinant factors affecting the interaction between services in the form of synergies or trade-offs is still limited. We assessed the production of 16 ES across 62 municipalities in the Norrström drainage basin in Sweden. We combined GIS data with publically available information for quantifying and mapping the distribution of services. Additionally, we calculated the diversity of ES for each municipality and used correlations and k-means clustering analyses to assess the existence of ES bundles. We found five distinct types of bundles of ES spatially agglomerated in the landscape that could be explained by regional social and ecological gradients. Human-dominated landscapes were highly multifunctional in our study area and urban densely populated areas were hotspots of cultural services.

No MeSH data available.


Related in: MedlinePlus

Bundles of ES identified by k-means clustering for the study area. The five groups of bundles (on the right side of the figure) are represented by rose-wind diagrams and named according to their characteristics. The diagrams are dimensionless, as they are based on normalized data for each service, and a higher surface area indicates the higher production of a particular service. The municipalities included in each group of bundles are highlighted in dark gray on the maps located at the left side of the figure
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Fig5: Bundles of ES identified by k-means clustering for the study area. The five groups of bundles (on the right side of the figure) are represented by rose-wind diagrams and named according to their characteristics. The diagrams are dimensionless, as they are based on normalized data for each service, and a higher surface area indicates the higher production of a particular service. The municipalities included in each group of bundles are highlighted in dark gray on the maps located at the left side of the figure

Mentions: We found five main groups of bundles of ES in the Norrström basin, and these were spatially clustered in the landscape (Fig. 5). The number of municipalities present in each group varied from 8 to 16 (Fig. 6). We named these bundle groups based upon the dominant ES and land cover, according to our knowledge of the municipalities within each cluster:Fig. 5


Mapping bundles of ecosystem services reveals distinct types of multifunctionality within a Swedish landscape.

Queiroz C, Meacham M, Richter K, Norström AV, Andersson E, Norberg J, Peterson G - Ambio (2015)

Bundles of ES identified by k-means clustering for the study area. The five groups of bundles (on the right side of the figure) are represented by rose-wind diagrams and named according to their characteristics. The diagrams are dimensionless, as they are based on normalized data for each service, and a higher surface area indicates the higher production of a particular service. The municipalities included in each group of bundles are highlighted in dark gray on the maps located at the left side of the figure
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

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getmorefigures.php?uid=PMC4289005&req=5

Fig5: Bundles of ES identified by k-means clustering for the study area. The five groups of bundles (on the right side of the figure) are represented by rose-wind diagrams and named according to their characteristics. The diagrams are dimensionless, as they are based on normalized data for each service, and a higher surface area indicates the higher production of a particular service. The municipalities included in each group of bundles are highlighted in dark gray on the maps located at the left side of the figure
Mentions: We found five main groups of bundles of ES in the Norrström basin, and these were spatially clustered in the landscape (Fig. 5). The number of municipalities present in each group varied from 8 to 16 (Fig. 6). We named these bundle groups based upon the dominant ES and land cover, according to our knowledge of the municipalities within each cluster:Fig. 5

Bottom Line: We combined GIS data with publically available information for quantifying and mapping the distribution of services.Additionally, we calculated the diversity of ES for each municipality and used correlations and k-means clustering analyses to assess the existence of ES bundles.We found five distinct types of bundles of ES spatially agglomerated in the landscape that could be explained by regional social and ecological gradients.

View Article: PubMed Central - PubMed

Affiliation: Stockholm Resilience Centre, Stockholm University, Kräftriket 2B, 106-91, Stockholm, Sweden, cibele.queiroz@su.se.

ABSTRACT
Ecosystem services (ES) is a valuable concept to be used in the planning and management of social-ecological landscapes. However, the understanding of the determinant factors affecting the interaction between services in the form of synergies or trade-offs is still limited. We assessed the production of 16 ES across 62 municipalities in the Norrström drainage basin in Sweden. We combined GIS data with publically available information for quantifying and mapping the distribution of services. Additionally, we calculated the diversity of ES for each municipality and used correlations and k-means clustering analyses to assess the existence of ES bundles. We found five distinct types of bundles of ES spatially agglomerated in the landscape that could be explained by regional social and ecological gradients. Human-dominated landscapes were highly multifunctional in our study area and urban densely populated areas were hotspots of cultural services.

No MeSH data available.


Related in: MedlinePlus