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

Hot and cold spots for types of ES (provisioning, regulating, and cultural) across the study area (lower three figures). Hot spots (represented by an increasing gradient of red) are municipalities with particularly high production of a given type of service, while cold spots (represented by a decreasing gradient of blue) are municipalities where the production of a given type of service is particularly low. Average values of the three ES categories are shown in the upper three figures
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Fig4: Hot and cold spots for types of ES (provisioning, regulating, and cultural) across the study area (lower three figures). Hot spots (represented by an increasing gradient of red) are municipalities with particularly high production of a given type of service, while cold spots (represented by a decreasing gradient of blue) are municipalities where the production of a given type of service is particularly low. Average values of the three ES categories are shown in the upper three figures

Mentions: With some exceptions, the municipalities around lakes Mälaren and Hjälmaren had the highest services’ diversity. Many of these municipalities were also identified as hot spots for the production of provisioning services (Fig. 4). This was corroborated by the synergies found between agricultural provisioning services and some regulating services (crop pollination, P retention), highlighted by the correlation analysis (Fig. 10.1007/s13280-014-0601-y, Electronic Supplementary Material). Despite the overall high diversity of services across the study area, hot and cold spots of provisioning, regulating, and cultural services were correlated with one another in ways that suggested the existence of trade-offs and synergies between these different categories. In particular, the hottest spots of one category were generally cold spots for the other categories. For example, the municipality of Västerås, identified as the hottest spot for provisioning services, was a cold spot for both regulating and cultural services.Fig. 4


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)

Hot and cold spots for types of ES (provisioning, regulating, and cultural) across the study area (lower three figures). Hot spots (represented by an increasing gradient of red) are municipalities with particularly high production of a given type of service, while cold spots (represented by a decreasing gradient of blue) are municipalities where the production of a given type of service is particularly low. Average values of the three ES categories are shown in the upper three figures
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4289005&req=5

Fig4: Hot and cold spots for types of ES (provisioning, regulating, and cultural) across the study area (lower three figures). Hot spots (represented by an increasing gradient of red) are municipalities with particularly high production of a given type of service, while cold spots (represented by a decreasing gradient of blue) are municipalities where the production of a given type of service is particularly low. Average values of the three ES categories are shown in the upper three figures
Mentions: With some exceptions, the municipalities around lakes Mälaren and Hjälmaren had the highest services’ diversity. Many of these municipalities were also identified as hot spots for the production of provisioning services (Fig. 4). This was corroborated by the synergies found between agricultural provisioning services and some regulating services (crop pollination, P retention), highlighted by the correlation analysis (Fig. 10.1007/s13280-014-0601-y, Electronic Supplementary Material). Despite the overall high diversity of services across the study area, hot and cold spots of provisioning, regulating, and cultural services were correlated with one another in ways that suggested the existence of trade-offs and synergies between these different categories. In particular, the hottest spots of one category were generally cold spots for the other categories. For example, the municipality of Västerås, identified as the hottest spot for provisioning services, was a cold spot for both regulating and cultural services.Fig. 4

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