Mapping ecosystem services: The supply and demand of flood regulation services in Europe

Stürck, Julia; Poortinga, Ate; Verburg, Peter H.

doi:10.1016/j.ecolind.2013.11.010

Cited by 224 publications

(157 citation statements)

References 63 publications

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“…ES research is heavily dominated by measurement of biophysical values, but less focused on social-cultural values. This means the supply side of ecosystems is well researched, but the demand side is not of particular importance in ES research, in spite of its need for better planning and management of ecosystems (Sturck et al, 2014). In this regard, our study explored both the supply and demand of ecosystem services by assessing the landscape's capacity to provide services, as well as people's dependency on those services.…”

Section: Discussionmentioning

confidence: 99%

Implications of land cover change on ecosystems services and people’s dependency: A case study from the Koshi Tappu Wildlife Reserve, Nepal

Chaudhary

Chettri

Uddin

et al. 2016

Ecological Complexity

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Section: Discussionmentioning

confidence: 99%

Implications of land cover change on ecosystems services and people’s dependency: A case study from the Koshi Tappu Wildlife Reserve, Nepal

Chaudhary

Chettri

Uddin

et al. 2016

Ecological Complexity

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“…Its supply depends on the land cover and land use, soil conditions, and location factors. Flood regulation is given as a dimensionless index following Stürck et al (2014).…”

Section: Flood Regulationmentioning

confidence: 99%

Simulating and delineating future land change trajectories across Europe

Stürck¹,

Levers

Zanden³

et al. 2015

Reg Environ Change

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Explorations of future land use change are important to understand potential conflicts between competing land uses, trade-offs associated with particular land change trajectories, and the effectiveness of policies to steer land systems into desirable states. Most model-based explorations and scenario studies focused on conversions in broad land use classes, but disregarded changes in land management or focused on individual sectors only. Using the European Union (EU) as a case study, we developed an approach to identifying typical combinations of land cover and management changes by combining the results of multimodel simulations in the agriculture and forest sectors for four scenarios from 2000 to 2040. We visualized land change trajectories by mapping regional hotspots of change. Land change trajectories differed in extent and spatial pattern across the EU and among scenarios, indicating trajectory-specific option spaces for alternative land system outcomes. In spite of the large variation in the area of change, similar hotspots of land change were observed among the scenarios. All scenarios indicate a stronger polarization of land use in Europe, with a loss of multifunctional landscapes. We analyzed locations subject to change by comparing location characteristics associated with certain land change trajectories. Results indicate differences in the location conditions of different land change trajectories, with diverging impacts on ecosystem service provisioning. Policy and planning for future land use needs to account for the spatial variation of land change trajectories to achieve both overarching and location-specific targets.

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“…The application of a pixel-based approach, integrating various sources of open-access satellite data to evaluate the full water balance, is rather unique. Whereas many models such as Soil and Water Assessment Tool (SWAT) [52], Spatial Tools for River Basins and Environment and Analysis of Management Options (STREAM) [53,54], Spatial Processes in Hydrology (SPHY) [55] and PCRaster Global Water Balance (PCR-GLOBWB) [56,57] can ingest remote sensing products while performing calculations on a gridded landscape, they do not calculate the soil water balance for each pixel solely from satellite imagery. In comparison to many other hydrology models, it should be noted that the applicability of the demonstrated approach is restricted to temporal resolutions of months to years.…”

Section: Discussionmentioning

confidence: 99%

A Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data

Poortinga¹,

Bastiaanssen

Simons

et al. 2017

Remote Sensing

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Due to increasing pressures on water resources, there is a need to monitor regional water resource availability in a spatially and temporally explicit manner. However, for many parts of the world, there is insufficient data to quantify stream flow or ground water infiltration rates. We present the results of a pixel-based water balance formulation to partition rainfall into evapotranspiration, surface water runoff and potential ground water infiltration. The method leverages remote sensing derived estimates of precipitation, evapotranspiration, soil moisture, Leaf Area Index, and a single F coefficient to distinguish between runoff and storage changes. The study produced significant correlations between the remote sensing method and field based measurements of river flow in two Vietnamese river basins. For the Ca basin, we found R 2 values ranging from 0.88-0.97 and Nash-Sutcliffe efficiency (NSE) values varying between 0.44-0.88. The R 2 for the Red River varied between 0.87-0.93 and NSE values between 0.61 and 0.79. Based on these findings, we conclude that the method allows for a fast and cost-effective way to map water resource availability in basins with no gauges or monitoring infrastructure, without the need for application of sophisticated hydrological models or resource-intensive data.

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Mapping ecosystem services: The supply and demand of flood regulation services in Europe

Cited by 224 publications

References 63 publications

Implications of land cover change on ecosystems services and people’s dependency: A case study from the Koshi Tappu Wildlife Reserve, Nepal

Implications of land cover change on ecosystems services and people’s dependency: A case study from the Koshi Tappu Wildlife Reserve, Nepal

Simulating and delineating future land change trajectories across Europe

A Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data

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