Upscaling ecosystem service maps to administrative levels: beyond scale mismatches

Zen, Michele; Candiago, Sebastian; Schirpke, Uta; Vigl, Lukas Egarter; Giupponi, Carlo

doi:10.1016/j.scitotenv.2019.01.087

Cited by 21 publications

(11 citation statements)

References 21 publications

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“…For, as has been observed in our study site, the bundles of small size only persist across grid-scales. It implies a loss of bundle diversity when we upscale, which agrees with Zen et al [67]. Then, large scales (dramatically at the provincial level) may fail to observe determinant factors and their influence on the sustainability of the ecosystems and their services.…”

Section: Effects Of Different Scales Of Observation On Bundles Of Essupporting

confidence: 82%

Land-change dynamics and ecosystem services using expert-based assessment and GIS: methodological implications for improving decision-making

Martínez¹

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Section: Effects Of Different Scales Of Observation On Bundles Of Essupporting

confidence: 82%

Land-change dynamics and ecosystem services using expert-based assessment and GIS: methodological implications for improving decision-making

Martínez¹

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“… 2019 , Zen et al. 2019 ) because of its capacity to identify neighboring features that constitute an area with similarly outlying values. These areas may be targeted by different specific policies if they behave as hotspots (extremely high values) or coldspots (extremely low).…”

Section: Methodsmentioning

confidence: 99%

“…To compare income and racial distribution across supply-demand mismatches, census blocks were spatially grouped by performing a hotspots analysis. Hotspots analysis is a widely adopted method in ecosystem services studies (Karimi et al 2015, Morelli et al 2017, Lorilla et al 2019, Wang et al 2019, Zen et al 2019) because of its capacity to identify neighboring features that constitute an area with similarly outlying values. These areas may be targeted by different specific policies if they behave as hotspots (extremely high values) or coldspots (extremely low).…”

Section: Mapping Es Supplymentioning

confidence: 99%

Mapping supply of and demand for ecosystem services to assess environmental justice in New York City

Herreros-Cantis

McPhearson

2021

Ecological Applications

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Livability, resilience, and justice in cities are challenged by climate change and the historical legacies that together create disproportionate impacts on human communities. Urban green infrastructure has emerged as an important tool for climate change adaptation and resilience given their capacity to provide ecosystem services such as local temperature regulation, stormwater mitigation, and air purification. However, realizing the benefits of ecosystem services for climate adaptation depend on where they are locally supplied. Few studies have examined the potential spatial mismatches in supply and demand of urban ecosystem services, and even fewer have examined supply–demand mismatches as a potential environmental justice issue, such as when supply–demand mismatches disproportionately overlap with certain socio‐demographic groups. We spatially analyzed demand for ecosystem services relevant for climate change adaptation and combined results with recent analysis of the supply of ecosystem services in New York City (NYC). By quantifying the relative mismatch between supply and demand of ecosystem services across the city we were able to identify spatial hot‐ and coldspots of supply–demand mismatch. Hotspots are spatial clusters of census blocks with a higher mismatch and coldspots are clusters with lower mismatch values than their surrounding blocks. The distribution of mismatch hot‐ and coldspots was then compared to the spatial distribution of socio‐demographic groups. Results reveal distributional environmental injustice of access to the climate‐regulating benefits of ecosystem services provided by urban green infrastructure in NYC. Analyses show that areas with lower supply–demand mismatch tend to be populated by a larger proportion of white residents with higher median incomes, and areas with high mismatch values have lower incomes and a higher proportion of people of color. We suggest that urban policy and planning should ensure that investments in “nature‐based” solutions such as through urban green infrastructure for climate change adaptation do not reinforce or exacerbate potentially existing environmental injustices.

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“…A more-important issue is related to the aggregation of the raster data from the landscape to the municipality scale, which we used to jointly analyze ESs and sustainability. During the aggregation process, variation in the original scale of data may lose validity, because small clusters of high or low values are likely to disappear, in particular when municipalities include highly heterogeneous areas [74]. Our results are therefore most useful for identifying broad-scale patterns, whereas the raster data with a resolution of least 100 m should be used for analyses at the local level to capture also small-scale heterogeneities.…”

Section: Limitations Of the Studymentioning

confidence: 98%

Analyzing Spatial Congruencies and Mismatches between Supply, Demand and Flow of Ecosystem Services and Sustainable Development

et al. 2019

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Ecosystem services (ESs) are increasingly included into decision-making to achieve Sustainable Development Goals (SDGs). Although both concepts consider the interactions between humans and the environment, spatial relationships between ESs and sustainability have been rarely addressed. Therefore, this study aims at analyzing spatial congruencies and mismatches between ESs and sustainability in the greater Alpine region. Using hot spot and overlap analyses, we overlaid maps of supply, demand and flow of eight key ESs with the spatial distribution of sustainability based on 24 indicators. Our results reveal that, in most cases, supply of and demand for ESs are greatly dislocated. These mismatches are reflected also in the spatial distribution of sustainability. In contrast to ES demand hot spots, supply hot spots are generally characterized by high sustainability levels, especially in relation to the environment. However, due to discrepancies in the social and economic dimensions, it cannot be assumed that ES supply hot spots always correspond to high sustainability. Hence, using ES indicators for measuring sustainability provides rather limited insights. We conclude that both concepts should be applied in a complementary way to maximize ecological, social and economic benefits in land management and planning processes.

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Upscaling ecosystem service maps to administrative levels: beyond scale mismatches

Cited by 21 publications

References 21 publications

Land-change dynamics and ecosystem services using expert-based assessment and GIS: methodological implications for improving decision-making

Land-change dynamics and ecosystem services using expert-based assessment and GIS: methodological implications for improving decision-making

Mapping supply of and demand for ecosystem services to assess environmental justice in New York City

Analyzing Spatial Congruencies and Mismatches between Supply, Demand and Flow of Ecosystem Services and Sustainable Development

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