Recognising institutional context in simulating and generalising exchange values for monetary ecosystem accounts

The paper argues that monetary valuation of ecosystem services for ecosystem accounting needs to be sensitive to institutional context, when simulating markets to generate exchange values where none was available previously and when conducting value generalisation that extrapolates exchange values from specific sites to the whole acounting area. The same ecosystem type can contain different governance regimes or, conversely, a single governance regime may be present in many ecosystem types. Governance regimes are, in part, determined by ecosystem type and condition, but also by ecosystem access characteristics which vary over urban-rural gradients. An ecosystem service will not have a single price if costs of supply and transaction vary in space. This is generally true for all accounting compatible valuation methods if they are extrapolated across different market contexts, but require particular attention if markets are simulated for specific locations and then assumed to be generally valid for the accounting area. The paper exemplifies this for different institutional settings for exchange values of recreation services exploring the general recommendation in SEEA EA for making valuation methods sensitive to institutional context. Stated preference methods simulate markets for ecosystem services. The paper then reviews non-market stated preference valuation studies that have been sensitive to institutional design. Findings on institutional design are, therefore, specifically relevant for simulation of market exchange values for the purpose of compiling monetary ecosystem accounts. The paper finds that disregard for the institutional context in valuation for ecosystem accounting can lead to: (i) errors of generalisation/aggregation and (ii) downward ‘bias’ in simulated accounting prices (relative to the status quo of the institutional context). simulated exchange value (SEV), recreation services, System of Environmental and Economic Accounts Ecosystem Accounts (SEEA EA), value transfer, value generalisation, stated preference, non-market valuation, monetary accountspublishedVersio

Classifying and valuing ecosystem services for urban planning

While technological progress has fostered the conception of an urban society that is increasingly decoupled from ecosystems, demands on natural capital and ecosystem services keep increasing steadily in our urbanized planet. Decoupling of cities from ecological systems can only occur locally and partially, thanks to the appropriation of vast areas of ecosystem services provision beyond the city boundaries. Conserving and restoring ecosystem services in urban areas can reduce the ecological footprints and the ecological debts of cities while enhancing resilience, health, and quality of life for their inhabitants. In this paper we synthesize knowledge and methods to classify and value ecosystem services for urban planning. First, we categorize important ecosystem services and disservices in urban areas. Second, we describe valuation languages (economic costs, socio-cultural values, resilience) that capture distinct value dimensions of urban ecosystem services. Third, we identify analytical challenges for valuation to inform urban planning in the face of high heterogeneity and fragmentation characterizing urban ecosystems. The paper discusses various ways through which urban ecosystems services can enhance resilience and quality of life in cities and identifies a range of economic costs and socio-cultural impacts that can derive from their loss. We conclude by identifying knowledge gaps and challenges for the research agenda on ecosystem services provided in urban areasacceptedVersio

Modeling reverse auction-based subsidies and stormwater fee policies for Low Impact Development (LID) adoption: a system dynamics analysis

Abstract Many urban areas around the world are facing increasing pressure on stormwater management systems due to urbanization and extreme weather events caused by climate change. Low impact development (LID), including blue-green infrastructure such as rain gardens, has become an attractive addition to traditional gray infrastructure for managing stormwater. Municipalities have a limited suite of policy instruments for incentivizing installation of LID on private property. We built a system dynamics model of integrated socio-economic and hydrologic systems in Oslo, Norway to illustrate implementation of two economic incentive mechanisms: subsidies based on reverse auctions and stormwater fees. We find that policy effectiveness depends on 1) communicating realistic expectations of LID performance to landowners and 2) municipal subsidies to reach landowners without intrinsic interests in LID. Under certain conditions, lower municipal economic incentives can outperform higher economic incentives and lead to sustained long-term adoption of LID on private property.publishedVersio

Comparing the implicit valuation of ecosystem services from nature-based solutions in performance-based green area indicators across three European cities

Performance-based green area indicators are increasingly used as policy instruments to promote nature-based solutions in urban property development. We explore the differences and parallels of three green area indicators: Berlin’s Biotope Area Factor (BAF), Stockholm’s Green Area Factor (GYF) and Oslo’s Blue Green Factor (BGF). As policy instruments they vary in their complexity and goals for green and blue structures. The urban planning literature devotes increasing attention to urban ecosystem services (ES) and its potential for utilitarian valuation including assigning preference weights, valuation and pricing of green and blue characteristics of urban development projects. Our comparison shows, however, that nature-based solutions in urban development projects in these three cities are largely planned, designed and implemented without using an explicit ES approach. Nevertheless, the choices of green structures and weighting of areas and structures in each city’s performance-based index constitute implicit valuation of bundles of ecosystem services. By investigating how the three indicator systems’ scores vary in parcel-scale development projects, we identify which ecosystem services each system implicitly promote and neglect. We discuss how variation in the systems’ complexity is the result of policy instrument design trade-offs between comprehensiveness and implementation costs. We argue that using physical proxies of performance in lieu of valuation of ecosystem services lowers site-specific information costs of green area indicators at property level. In the absence of an explicit ES approach, performance-based green area indicators in the three cities have been encouraging nature-based solutions in urban development without pricing of ecosystem services, without apologies. Policy design Green area points Blue-green factor Biotope factor Green space factor Ecosystem ServicesacceptedVersio

Bias and precision of crowdsourced recreational activity data from Strava

Recreational activity is the single most valuable ecosystem service in many developed countries with a range of benefits for public health. Crowdsourced recreational activity data is increasingly being adopted in management and monitoring of urban landscapes, however inherent biases in the data make it difficult to generalize patterns to the total population. We used in-situ observations and questionnaires to quantify accuracy in Strava data - a widely used outdoor activity monitoring app – in Oslo, Norway. The precision with which Strava data captured the spatial (R2 = 0.9) and temporal variation (R2 = 0.51) in observed recreational activity (cyclist and pedestrian) was relatively high for monthly time series during summer, although precision degraded at weekly and daily resolutions and during winter. Despite the precision, Strava exhibits significant biases relative to the total recreationist population. Strava activities represented 2.5 % of total recreationist activity in 2016, a proportion that increased steadily to 5.7 % in 2020 due to a growing usership. Strava users are biased toward cyclists (8 % higher than observed), males (15.7 % higher) and middle-aged people (20.4 % higher for ages 35–54). Strava pedestrians that were able to complete a questionnaire survey (>19 years) were biased to higher income brackets and education levels. Future studies using Strava data need to consider these biases – particularly the underrepresentation of vulnerable age (children/elderly) and socio-economic (poor/uneducated) groups. The implementation of Strava data in urban planning processes will depend on accuracy requirements of the application purpose and the extent to which biases can be corrected for. Accuracy Mobility GPS tracking Physical activity Green spacepublishedVersio

Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover

The European Space Agency’s Sentinel satellites have laid the foundation for global land use land cover (LULC) mapping with unprecedented detail at 10 m resolution. We present a cross-comparison and accuracy assessment of Google’s Dynamic World (DW), ESA’s World Cover (WC) and Esri’s Land Cover (Esri) products for the first time in order to inform the adoption and application of these maps going forward. For the year 2020, the three global LULC maps show strong spatial correspondence (i.e., near-equal area estimates) for water, built area, trees and crop LULC classes. However, relative to one another, WC is biased towards over-estimating grass cover, Esri towards shrub and scrub cover and DW towards snow and ice. Using global ground truth data with a minimum mapping unit of 250 m2 , we found that Esri had the highest overall accuracy (75%) compared to DW (72%) and WC (65%). Across all global maps, water was the most accurately mapped class (92%), followed by built area (83%), tree cover (81%) and crops (78%), particularly in biomes characterized by temperate and boreal forests. The classes with the lowest accuracies, particularly in the tundra biome, included shrub and scrub (47%), grass (34%), bare ground (57%) and flooded vegetation (53%). When using European ground truth data from LUCAS (Land Use/Cover Area Frame Survey) with a minimum mapping unit of <100 m2 , we found that WC had the highest accuracy (71%) compared to DW (66%) and Esri (63%), highlighting the ability of WC to resolve landscape elements with more detail compared to DW and Esri. Although not analyzed in our study, we discuss the relative advantages of DW due to its frequent and near real-time data delivery of both categorical predictions and class probability scores. We recommend that the use of global LULC products should involve critical evaluation of their suitability with respect to the application purpose, such as aggregate changes in ecosystem accounting versus site-specific change detection in monitoring, considering trade-offs between thematic resolution, global versus. local accuracy, class-specific biases and whether change analysis is necessary. We also emphasize the importance of not estimating areas from pixel-counting alone but adopting best practices in design-based inference and area estimation that quantify uncertainty for a given study area. accuracy; deep learning; Earth observation; Sentinel-2; validationpublishedVersio

Valuing access to urban greenspace using non-linear distance decay in hedonic property pricing

Modelling walking distance enables the observation of non-linearities in hedonic property pricing of accessibility to greenspace. We test a penalized spline spatial error model (PS-SEM), which has two distinctive features. First, the PS-SEM controls for the presence of a spatially autocorrelated error term. Second, the PS-SEM allows for continuous non-linear distance decay of the property price premium as a function of walking distance to greenspaces. As a result, compared with traditional spatial econometric methods, the PS-SEM has the advantage that data determines the functional form of the distance decay of the implicit price for greenspace accessibility. Our PS-SEM results from Oslo, Norway, suggest that the implicit price for greenspace access is highly non-linear in walking distance, with the functional form varying for different types of greenspaces. Our results caution against using simple linear distances and assumptions of log or stepwise buffer-based distance decay in property prices relative to pedestrian network distance to urban amenities. The observed heterogeneity in the implicit property prices for walking distance to greenspace also provides a general caution against using non-spatial hedonic pricing models when aggregating values of greenspace amenities for policy analysis or urban ecosystem accounting purposes. Penalized spline spatial error model (PS-SEM) Hedonic pricing method (HPM) Urban ecosystem services valuation Urban ecosystem accounting Urban planning Environmental justicepublishedVersio

Urban green. Integrating ecosystem extent and condition data in urban ecosystem accounts. Examples from the Oslo region

The article enhances the knowledge base for the assessment of urban ecosystem services, within the United Nations System of Environmental-Economic Accounting Ecosystem Accounting (SEEA EA), recently adopted as an international statistical standard. The SEEA EA is based on spatial extent accounts (area of ecosystems) and biophysical condition accounts (ecological state of ecosystems). Case studies from the Oslo region are explored, combining land use/land cover maps from Statistics Norway with satellite data. The results illustrate that a combination of land use/land cover data for ecosystem extent and detailed satellite data of land cover provides a much higher quality for the interpretation of extent and condition variables. This is not only a result of applying spatial analysis, but a result of applying knowledge about the information categories from satellite data of land cover, to official statistics for built-up land in urban areas that until now have not been identified. Moreover, the choice of spatial units should reflect that modelling of different ecosystem services, as a basis for trade-offs in urban planning, requires a combination of different spatial approaches to capture urban green elements. Ecosystem accounting, ecosystem services, urban ecosystems, spatial analysis, land use maps, land cover mapsacceptedVersio

Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow

Plant mating systems play a key role in structuring genetic variation both within and between species. In hybrid zones, the outcomes and dynamics of hybridization are usually interpreted as the balance between gene flow and selection against hybrids. Yet, mating systems can introduce selective forces that alter these expectations; with diverse outcomes for the level and direction of gene flow depending on variation in outcrossing and whether the mating systems of the species pair are the same or divergent. We present a survey of hybridization in 133 species pairs from 41 plant families and examine how patterns of hybridization vary with mating system. We examine if hybrid zone mode, level of gene flow, asymmetries in gene flow and the frequency of reproductive isolating barriers vary in relation to mating system/s of the species pair. We combine these results with a simulation model and examples from the literature to address two general themes: (i) the two‐way interaction between introgression and the evolution of reproductive systems, and (ii) how mating system can facilitate or restrict interspecific gene flow. We conclude that examining mating system with hybridization provides unique opportunities to understand divergence and the processes underlying reproductive isolation

Norge trenger et overvannsgebyr – muligheter og utfordringer

With the changing climate, more extreme precipitation events are expected in Norway, and thus good stormwater management becomes more and more important. The Norwegian White Paper on stormwater in cities and towns1 proposes introduction of a stormwater fee to finance stormwater management. Today, stormwater, regardless of its degree of pollution, is defined as wastewater. Since current water and wastewater fees are considered payment for a service that is delivered through water and sewage pipes, not all types of stormwater measures can be financed through these fees. Especially blue-green solutions and naturebased solutions, i.e., those that use vegetation or multifunctional solutions such as parks with a stormwater retention function, fall outside the current fee structure. These types of stormwater measures lack financing today. In this chapter, we provide information on stormwater fee systems in selected countries outside Norway, explain different methods for estimating stormwater fees and describe the legal preconditions for the introduction of a stormwater fee in Norway. In addition, we discuss types of stormwater measures that, in our opinion, should be financed by future stormwater fees. stormwater fee, Norway, legislation, international experience, blue-green solutions, nature-based solutionsNorge trenger et overvannsgebyr – muligheter og utfordringerpublishedVersio