Recommendations for the suitable contents of the geospatial datasets presenting the distribution of languages including the benefits of each, and our solutions (selected in the case study) concerning the Uralic languages.

Additional file 2. The R codes of the study.

Achieve precision in geospatial mapping with accurate data labeling. Enhance navigation, planning, and location-based services.

1. Cultural Ecosystem Services (CES) encompass a range of social, cultural and health benefits to local communities, for example recreation, spirituality, a sense of place and local identity. However, these complex and place-specific CES are often overlooked in rapid land management decisions and assessed using broad, top–down approaches. 2. We use the Toolkit for Ecosystem Service Site-based Assessment (TESSA) to examine a novel approach to rapid assessment of local CES provision using inductive, participatory methods. We combined free-listing and participatory geographic information systems (GIS) techniques to quantify and map perceptions of current CES provision of an urban green space. The results were then statistically compared with those of a proposed alternative scenario with the aim to inform future decision-making. 3. By identifying changes in the spatial hotspots of CES in our study area, we revealed a spatially-specific shift toward positive sentiment regarding several CES under the alternative state with variance across demographic and stakeholder groups. Response aggregations in areas of proposed development reveal previously unknown stakeholder preferences to local decision-makers and highlight potential trade-offs for conservation management. Free-listed responses revealed deeper insight into personal opinion and context. 4. This work serves as a useful case study on how the perceptions and opinions of local people regarding local CES could be accounted for in the future planning of an urban greenspace and how thorough analysis of CES provision is important to fully-inform local-scale conservation and planning for the mutual benefit of local communities and nature.

The dataset contains GIS data and JPEG maps of nature-based solution scenarios and related benefits in three case-study cities partners of the H2020 project Naturvation (https://naturvation.eu/): Barcelona (Spain), Malmö (Sweden), and Utrecht (the Netherlands). The data were produced as part of the research described in the article “Scaling up nature-based solutions for climate-change adaptation: potential and benefits in three European cities”, published in Urban Forestry & Urban Greening (doi:10.1016/j.ufug.2021.127450). The dataset is structured into three main folders, one for each city. Each folder contains six raster maps of land cover under different scenarios, a vector map with the results of the assessment of the selected benefits at the local level, and a sub-folder with the benefit maps printed in JPEG format. The six scenarios include the current condition (Baseline - LC); four scenarios that simulates the full-scale implementation of one specific type of nature-based solutions: installing green roofs (GreenRoofs - GR), de-sealing parking areas (ParkingAreas - PA), enhancing vegetation in urban parks (Parks - PK), and planting street trees (StreetTrees - ST); and a scenario considering the contemporaneous implementation of all four types of nature-based solutions (GreenDream - GD). The simulated full-scale implementation is based on space availability and technical feasibility: other constraints to the implementation of nature-based solutions are not considered. The five benefits assessed include two benefits related to climate change adaptation, i.e. heat mitigation (HM) and runoff reduction (RR), and three co-benefits, namely carbon storage (CS), biodiversity potential (BP), and overall greenness (OG). The vector maps and related JPEG prints show the results of the assessment at the block level. Blocks are based on a modified version of Urban Atlas polygons obtained by removing streets and railroads. Maps have coordinate reference system UTRS89 - LAEA Europe (EPSG:3035) and cover the whole administrative territory of the respective city, excluding the sea. Raster maps are provided in Geotiff format, UInt 16, with a resolution of 1 m. The legend includes eight land cover classes: water (0), trees (1), low vegetation (2), impervious (4), agriculture (5), buildings (10), green roofs (11), vegetation over water (13), permeable parking areas (14). The attribute tables of the vector maps store the value of the selected benefits for each block, together with the links to the original Urban Atlas polygons. Scenarios and benefits are identified by their two-letter codes as reported above. The printed JPEG maps of benefits have a common legend, to allow for comparison between cities.

Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.

With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.

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Extensive POI Coverage: ✅ 230M+ Points of Interest worldwide, covering 5000 business categories. ✅ Includes retail stores, restaurants, corporate offices, landmarks, and service providers.

Geographic & Location Intelligence Data: ✅ Latitude & longitude coordinates for mapping and navigation applications. ✅ Geographic classification, including country, state, city, and postal code. ✅ Business status tracking – Open, temporarily closed, or permanently closed.

Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.

Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.

Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.

Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.

🏆Primary Use Cases:

Mapping & Geographic Analysis: 🔹 Power GIS platforms & navigation systems with precise POI data. 🔹 Enhance digital maps with accurate business locations & categories.

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• 230M+ Verified POI Records – One of the largest & most detailed location datasets available.
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• Bulk Dataset Delivery – S3 Bucket & cloud storage delivery for full dataset access.
• 100% Compliant – Ethically sourced, privacy-compliant data.

Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!

Data for: Decision-making Analysis for Green Roof Layout and Functional Types with Optimal Expected Ecosystem Services Benefits in High-Density Cities: A Case Study in the Central City of Guangzhou, China. We use multi open-source spatial data from various websites to evaluate ecosystem services demand in the main city of Guangzhou, China. The data includes: (1)Carbon dioxide (CO₂) emissions. Source: https://edgar.jrc.ec.europa.eu/. Accessed July 25, 2024. (2)Precipitation. Source: http://www.geodata.cn. Accessed July 19, 2024. (3)Air Quality Index (AQI). Source: http://www.cnemc.cn/. Accessed July 28, 2024. (4)Landsat 8 and 9 satellite imagery (30m resolution). Source: https://www.usgs.gov/. Accessed July 24, 2024. (5)Digital Elevation Model (DEM). Source: https://www.gscloud.cn/. Accessed July 20, 2024. (6)Land cover (30m resolution). Source: http://globeland30.org/home.html. Accessed July 19, 2024. (7)Road vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024. (8)Building vector data. Source: https://lbsyun.baidu.com/products/map. Accessed Juanuary 8, 2024. (9)Population Density (100m resolution). Source: https://www.worldpop.org/. Accessed April July 10, 2024. (10)POl vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024.

Participatory approaches elicit information from multiple stakeholders while planning and implementing resource management systems. Such elicited information is often associated with significant variability. Public participation geographical information science (GIS) (PP-GIS) solutions can reduce this variability by helping stakeholders to measure the factors involved and provide the elicited information. We propose a ‘Quality Function Deployment’-based participatory framework for developing such PP-GIS solutions. It is demonstrated using a case study to enhance an existing PP-GIS into a solution for rainwater harvesting systems in Indian villages. The novelty of the proposed framework is that it identifies metrics and carries out comparative analysis of three existing solutions: participatory rural appraisal, participatory mapping and PP-GIS. In the case study, PP-GIS scored less than participatory mapping as it scored less on usability and affordability. To improve PP-GIS in these aspects, an easy-to-use mobile and web based, free and open source PP-GIS solution, Watershed GIS, was developed. It scored better than the three existing solutions and its usage resulted in substantial reduction of variability in criteria values and thus better ranking of alternatives, with the average coefficient of variation decreasing from 0.12 to 0.05.

Ecosystem water scarcity solutions and secondary themes, categories and example cases in each category.

The dataset contains the maps of the case study described in the paper "A performance-based planning approach integrating supply and demand of urban ecosystem services", published in Landscape and Urban Planning. The maps describe the supply and demand of urban ecosystem services in the city of Trento (Italy) and show how ecosystem service assessments can support the implementation of an innovative performance-based planning approach. The dataset includes seven maps of ecosystem service supply (air purification, food supply, habitat provision, microclimate regulation, noise mitigation, recreation, runoff mitigation), five maps of ecosystem services demand (food supply, microclimate regulation, noise mitigation, recreation, runoff mitigation), and two synthesis maps. The synthesis maps serve as operational tools to implement the performance-based planning approach proposed and tested in the paper. The "combined ES supply map" provides an overall assessment of the expected negative impacts of urban transformations on ecosystem services, while the "integrated ES demand map" identifies the priority ecosystem services to enhance in different areas of the city. Values of the indicators in the supply and demand maps and in the "combined ES supply map" range from 0 to 1. The "integrated ES demand map" is a categorical map with classes indicated by integer values from 1 to 6. For a description of the classes, please refer to the original paper. All maps are provided in Geotiff format, 20-m resolution, projected coordinate system EPSG:3044, except for the map of habitat provision. They cover the whole administrative territory of Trento.

Optimal solutions of the PSO-SVM coupled model for each prediction region.

This project is part of RESAS Strategic Research Programme (2016-2022) Workpackage 1.4 on Sustainable and Integrated Management of Natural Assets. The project focuses on development of prototypes of Cultural Ecosystem Services (CES) maps for Scotland Natural Assets Register (NAR). The focus of this work is on building a prototype methodology for mapping CES-“Aesthetics” at the national scale of Scotland, within the context of CICES v4.3. Version 4.3 limits itself to the description of final services from the environment through the bio-physical output from the ecosystems. Thus, the chosen methodology will limit itself to the bio-physical approach of landscape characterisation (Siemensen et al., 2018). The prototype mapping methodology presented in this report does not aim nor claim to be fully encompassing of all aspects of Aesthetics research topics nor of the common use of the word. The focus is on selected bio-physical aspects of the environment. As with the prototype mapping for Cultural Heritage and Entertainment CES (Aalders et al., 2018) also conducted as part of the RESAS 2016-2022 programme, this work highlights a methodological approach, rather than providing an authoritative and definitive result. The chosen bio-physical methodology is based on Frank and Walz’s (2017) German case study which forms part of a collection of approaches to mapping ecosystem services developed through the EU-funded project ESMEREALDA – Enhancing ecosystem services mapping for policy and decision making (Burkard and Maes, 2017). Part of the analysis was adapted for Scotland’s landscape and available spatial datasets. Please refer to the report for full details. Aalders, I., Irvine, K.N., Conniff, A. (2018). Development of prototype maps for Natural Asset Register. RESAS 1.4.1bvi Cultural Ecosystem Services indicators and mapping - Deliverable 3 Working Paper. James Hutton Institute, Scotland, UK. Burkhard, B. and Maes J. (Eds.) (2017). Mapping Ecosystem Services. Pensoft Publishers, Sofia, 374 pp. https://doi.org/10.3897/ab.e12837 Frank, S. and Walz, U. (2017). Chapter 3.6 Landscape metrics. In Burkhard B, Maes J (Eds.) Mapping Ecosystem Services. Pensoft Publishers, Sofia, 374 pp. https://doi.org/10.3897/ab.e12837 Simensen, T., Halvorsen, R., Erikstad, L. (2018). Methods for landscape characterisation and mapping: a systematic review. Land Use Policy, 75, pp. 557-569, http://doi.org/10.1016/j.landusepol.2018.04.022

This report presents the findings of a federally funded case study that examined prenatal alcohol and other exposures in child welfare, including in Tribal child welfare systems. For the study, multiple listening sessions were held with diverse Tribal stakeholders across Minnesota in 2018 to understand issues related to prenatal substance exposure (PSE), to develop relationships with Tribes, and to inform the study. In 2019, the research team engaged the Ombimindwaa Gidinawemaaganinaadog Red Lake Family and Children Services agency to co-develop a case study. After Tribal council and IRB approval, in 2020 the Tribal liaison and a team member conducted two data collection efforts: a service process mapping activity, and interviews with nine key informants. Findings from the case study are reported and indicate: currently, no validated assessment or decision-making tools are used by this agency to guide the intake process when there are reports of prenatal alcohol or other drug exposures; participants were less aware of the relevant referral partners and the process to identify children affected by PSE than those processes for serving and supporting pregnant mothers; the two most frequent points of referral for pregnant mothers who are using substances are family preservation services and chemical dependency services for supporting pregnant mothers; challenges included struggles with maintaining and communicating processes consistently across agencies, and because all births currently occur off-reservation, the Tribal programs must follow the lead of external agencies. Themes that emerged from the interviews are also discussed and address the needs and strengths of the Tribal community, services for pregnant mothers and infants with PSE, facilitators to implementing services, challenges to implementing services, and recommendations for improved services. Finally, implications of the findings for Tribal child welfare program and federal agencies are explored. Metadata-only record linking to the original dataset. Open original dataset below.

Abstract In the light of the technological transformations that have been occurring in the field of Remote Sensing, the objective of this study was to evaluate the feasibility and the quality of the results that could be achieved in the topographic modeling of the terrain with a Remotely Piloted Aircraft Systems (RPAS) survey in open-pit mines. The mining activity imposes the recurring topographic survey of mined and service areas that require volume evaluation in an interval of at least one month. In this context, the expectation of adopting traditional remote sensing methods for surveying, instead of land surveys, has always been great. The restrictions on the adoption of the conventional photogrammetric or airborne laser scanning (ALS) methods were related to the need for recurring surveys, which are never simple with the use of manned aerial platforms. In this context, the RPAS opens a window of opportunity that should not be ignored, being the main reason for the case study reported here. The essential data set of the research results from the direct confrontation between two digital terrain models: the first obtained with the RPAS survey executed in 2016 and another one of the same area obtained by a laser aerial survey performed in 2012, which was considered as a quality benchmark. The results recommended that the implementation of mapping solutions with RPAS consider the quality constraints of the photogrammetry in order to improve final results with the theoretical and operational knowledge that underpin the photogrammetric process.

Mapping the spatial dynamics of perceived social value across the landscape can help develop a restoration economy that can support ecosystem services in the region. Many different methods have been used to map perceived social value. We used the Social Values for Ecosystem Services (SolVES) GIS tool, version 3.0, which uses social survey responses and various environmental variables to map social value. In the social survey distributed by the Borderlands Restoration Network (BRN) in May 2017, the respondents were asked to consider twelve different social values and map locations on a map where they perceived those social values to be. Additionally, they were asked to weigh each social value using a total of 100 points, and could assign each social value anywhere from 0 to 100 points. A combination of the points, weighted social values, and environmental variables were used within the SolVES tool. The SolVES tool then produced raster outputs that visualize the value index range for each social value assessed using the SolVES tool. This data release consists of two raster products. The first raster (SolVES multi-band raster) product consists of twelve bands, each band representing one of the twelve social values. The twelve total bands in this stacked raster are listed below, with the descriptions provided in the survey. The second raster product is a single band raster (SolVES summed raster) that shows the summed social value index for each pixel for the twelve social value rasters. Both raster products are clipped to the Sonoita Creek Watershed and represent the visual results of the SolVES tool. 1) aesthetic - ... I enjoy the aesthetics - scenery, sights, sounds, smells, etc. - within it, 2) biological diversity - ... it is home to such biological diversity, 3) cultural - ... it is a place of cultural value allowing me to pass down the knowledge, traditions, wisdom and way of life of myself and my ancestors, 4) economic - ... it is a place of economic value where I can earn a living, 5) future generations - ... I want future generations to be able to know, see and experience the watershed, 6) historical - ... it has historic value, with important places and things of natural and human history, 7) intrinsic - ... it has intrinsic value, irrespective of any instrumental value, 8) learning - ... because we can learn a great deal within it, 9) life sustaining - ... because it has life sustaining value through protecting and renewing clean air, soil, water etc., 10) recreational - ... because it provides a place for my favorite outdoor recreation activities, 11) spiritual - ... because it has spiritual value to me in the form of sacred, religious, or spiritual or because I feel reverence and respect for nature there, and 12) therapeutic - ... because it has therapeutic value, making me feel better physically and/or mentally. This data is used in the associated publication in the Air, Soil and Water Research. Petrakis, Roy E., Norman, Laura M., Lysaght, Oliver, Sherrouse, Benson C., Semmens, Darius, Bagstad, Kenneth J., Pritzlaff, Richard. 2020. “Mapping Perceived Social Values to Support a Respondent-Defined Restoration Economy: Case Study in Southeastern Arizona, USA” Air, Soil and Water Research. doi.org/10.1177/1178622120913318. The abstract for the associated publication follows: "Investment in conservation and ecological restoration depends on various socioeconomic factors and the social license for these activities. Our study demonstrates a method for targeting management of ecosystem services based on social values, identified by respondents through a collection of social survey data. We applied the Social Values for Ecosystem Services (SolVES) geographic information systems (GIS)- based tool in the Sonoita Creek watershed, Arizona, to map social values across the watershed. The survey focused on how respondents engage with the landscape, including through their ranking of 12 social values (eg, recreational, economic, or aesthetic value) and their placement of points on a map to identify their associations with the landscape. Additional information was elicited regarding how respondents engaged with water and various land uses, as well as their familiarity with restoration terminology. Results show how respondents perceive benefits from the natural environment. Specifically, maps of social values on the landscape show high social value along streamlines. Life-sustaining services, biological diversity, and aesthetics were the respondents’ highest rated social values. Land surrounding National Forest and private lands had lower values than conservation-based and state-owned areas, which we associate with landscape features. Results can inform watershed management by allowing managers to consider social values when prioritizing restoration or conservation investments."

This map depicts accessibility and how well Genesee County residents can access core service destinations by using the existing roadway, transit, and non-motorized transportation networks.

Staff reviewed numerous case studies from around the state and focused in on seven core services that included groceries, medical facilities, educational institutions, parks, libraries, employment hubs, and fixed-route transit. The next step in the analysis was to understand how many Genesee County households can access these core services in a reasonable amount of time of 10- minute and 30-minute intervals. Using Genesee County’s Travel Demand Model (TDM) staff calculated the percent of households, within a specified time, that would be able to access the core services across four modes of travel: automobile, bicycle, walking, and fixed-route transit.

Finding effective and practical solutions to climate change challenges in food-energy-water systems requires the integration of experts in local/regional social and biophysical systems, and these are commonly local community members. In the Magic Valley, Idaho we investigated the tensions between water used for energy and to irrigate cropland for food production, as well as, strategies for protecting water quantity and quality. Incorporating stakeholders with long-standing expertise allows the development of solutions to these challenges that are locally and regionally practical and consistent with the values of the social system into which they are incorporated. We describe a stakeholder-driven process used in a case study in the Magic Valley that incorporated local experts to develop plausible future scenarios, identify drivers of change, vet impact and hydrological modeling and map areas of change. The process described allowed stakeholders to envision alternative futures in their region, leading to development of enhanced context and place-based solutions and an anticipated time line for adoption of those solutions. The solutions developed by the stakeholders have been applied across many geographic areas. The described process can also be applied across a broad range of geographic levels. Most importantly, stakeholders should be involved in anticipating solutions and solution timing to the differing challenges posed by each scenario.

FEMA provides access to the National Flood Hazards Layer (NFHL) through web mapping services. The maps depict effective flood hazard information and supporting data. The primary flood hazard classification is indicated in the Flood Hazard Zones layer.The NFHL layers include:Flood hazard zones and labelsRiver Miles MarkersCross-sections and coastal transects and their labelsLetter of Map Revision (LOMR) boundaries and case numbersFlood Insurance Rate Map (FIRM) boundaries, labels and effective datesCoastal Barrier Resources System (CBRS) and Otherwise Protected Area (OPA) unitsCommunity boundaries and namesLeveesHydraulic and flood control structuresProfile and coastal transect baselinesLimit of Moderate Wave Action(LiMWA)Not all effective Flood Insurance Rate Maps (FIRM) have GIS data available. To view a list of available county and single-jurisdiction flood study data in GIS format and check the status of the NFHL GIS services, please visit the NFHL Status Page.Preliminary & Pending National Flood Hazard LayersThe Preliminary and Pending NFHL dataset represents the current pre-effective flood data for the country. These layers are updated as new preliminary and pending data becomes available, and data is removed from these layers as it becomes effective.For more information, please visit FEMA's website.To download map panels or GIS Data, go to: NFHL on FEMA GeoPlatform.Preliminary & Pending DataPreliminary data are for review and guidance purposes only. By viewing preliminary data and maps, the user acknowledges that the information provided is preliminary and subject to change. Preliminary data are not final and are presented in this national layer as the best information available at this time. Additionally, preliminary data cannot be used to rate flood insurance policies or enforce the Federal mandatory purchase requirement. FEMA will remove preliminary data once pending data are available.Pending data are for early awareness of upcoming changes to regulatory flood map information. Until the data becomes effective, when it will appear in FEMA's National Flood Hazard Layer (NFHL), the data should not be used to rate flood insurance policies or enforce the Federal mandatory purchase requirement. FEMA will remove pending data once effective data are available.To better understand Preliminary data please see the View Your Community's Preliminary Flood Hazard Data webpage.FEMA GeoPlatformFEMA's GIS flood map services are available through FEMAs GeoPlatform, an ArcGIS Online portal containing a variety of FEMA-related data.To view the NFHL on the FEMA GeoPlatform go to NFHL on FEMA GeoPlatform.To view the Preliminary and Pending national layers on the FEMA Geoplatform go to FEMA's Preliminary & Pending National Flood Hazard Layer.Technical InformationFlood hazard and supporting data are developed using specifications for horizontal control consistent with 1:12,000–scale mapping. If you plan to display maps from the NFHL with other map data for official purposes, ensure that the other information meets FEMA’s standards for map accuracy.The minimum horizontal positional accuracy for base map hydrographic and transportation features used with the NFHL is the NSSDA radial accuracy of 38 feet. United States Geological Survey (USGS) imagery and map services that meet this standard can be found by visiting the Knowledge Sharing Site (KSS) for Base Map Standards (420). Other base map standards can be found at https://riskmapportal.msc.fema.gov/kss/MapChanges/default.aspx. You will need a username and password to access this information.The NFHL data are from FEMA’s FIRM databases. New data are added continually. The NFHL also contains map changes to FIRM data made by LOMRs.The NFHL is stored in North American Datum of 1983, Geodetic Reference System 80 coordinate system, though many of the NFHL GIS web services support the Web Mercator Sphere projection commonly used in web mapping applications.Organization & DisplayThe NFHL is organized into many data layers. The layers display information at map scales appropriate for the data. A layer indicating the availability of NFHL data is displayed at map scales smaller than 1:250,000, regional overviews at map scales between 1:250,000 and 1:50,000, and detailed flood hazard maps at map scales of 1:50,000 and larger. The "Scalehint" item in the Capabilities file for the Web Map Service encodes the scale range for a layer.In addition, there are non-NFHL datasets provided in the GIS web services, such as information about the availability of flood data and maps, the national map panel scheme, and point locations for LOMA and LOMR-Fs. The LOMA are positioned less accurately than are the NFHL data.Layers in the public NFHL GIS services:Use the numbers shown below when referencing layers by number.0. NFHL Availability1. LOMRs2. LOMAs3. FIRM Panels4. Base Index5. PLSS6. Toplogical Low Confidence Areas7. River Mile Markers8. Datum Conversion Points9. Coastal Gages10. Gages11. Nodes12. High Water Marks13. Station Start Points14. Cross-Sections15. Coastal Transects16. Base Flood Elevations17. Profile Baselines18. Transect Baselines19. Limit of Moderate Wave Action20. Water Lines21. Coastal Barrier Resources System Area22. Political Jurisdictions23. Levees24. General Structures25. Primary Frontal Dunes26. Hydrologic Reaches27. Flood Hazard Boundaries28. Flood Hazard Zones29. Submittal Information30. Alluvial Fans31. Subbasins32. Water Areas

Global threats to freshwater resources are prompting widespread concern about their management and implications for well-being. In recent decades, hydrologic ecosystem services (HES) have emerged as an innovative concept to evaluate freshwater resources, providing opportunity for researchers to engage in decision-relevant science. We conducted a systematic review of studies published within the last decade, documenting approaches for mapping and quantifying HES and classifying the decision context. To gauge the relevance of HES science, we evaluated 49 case studies using multiple criteria for credibility, legitimacy, and saliency. We found compelling evidence that much of the variability in the quantification of HES can be explained by research motivations and scoping, reflecting the decision-oriented framing of the ecosystem services concept. Our review highlights key knowledge gaps in the state of the science including the need to articulate beneficiaries and to make connections to policy and management more explicit. To strengthen the potential for impact of HES science, we provide recommendations to assist researchers, practitioners, and decision-makers in identifying goals, formulating relevant questions, and selecting informative approaches for quantifying HES. We argue that sustained progress in applying HES requires critical evaluation and careful framing to link science and practice.

How institutional stakeholders perceive the supply and demand of ecosystem services (ES) under distinct contexts determines which planning actions are deemed priority or not. Public officers play a crucial role in social-ecological management and decision-making processes, but there is a paucity of research exploring their perceptions on ES supply and demand under a changing climate. We address this gap through an exploratory study that analyses the views of public officers on the potential impacts of climate-change related drivers on multiple ES in a major administrative region from Portugal (EU NUTS 3). We combined qualitative spatial data from participatory maps and semi-quantitative answers from questionnaire-based surveys with 22 officers from public institutions contributing to territorial planning. Contrary to other similar studies, public officers shared a common view on the importance of ES. This view aligns with scientific projections on how a changing climate is expected to influence ES in the region over the next decade. In agreement with other observations in Mediterranean regions, the most perceivably valued ES concerned tangible socio-economic benefits (e.g., periurban agriculture and wine production). Surprisingly, despite the region’s potential for cultural ES, and considering the impacts that climate change may hold on them, recreation and tourism did not seem to be embedded in the officers’ views. We explore the implications of our findings for territorial planning and social-ecological adaptation, considering that the way stakeholders manage the territory in response to climate change depends on the extent to which they are aware and expect to experience climatic consequences in the future.