Recreational Ecosystem Services Research Articles

Recreational Ecosystem Services in the Qinghai–Tibet Plateau National Park Group: Mapping, Monetization, and Evaluation

Recreational Ecosystem Services in the Qinghai–Tibet Plateau National Park Group: Mapping, Monetization, and Evaluation

Mapping and assessing supply–demand matching of recreational ecosystem services in Shandong province, China

Globally, natural landscapes and their recreational ecosystem services (RES) are both under threat from anthropogenic activities and environmental changes. But the demand for RES increases with the development of human living standards. Therefore, mapping and assessing the supply–demand relationships of RES is crucial for landscape planning, management, and human well-being. This study aimed to study the relationships between supply and demand of RES in Shandong province, China, quantify the supply, demand, and supporting capacity of RES, analyze the degree of matching and coupling between the supply and demand of RES, and explore the effect of terrain gradient to RES. The results indicated that the average value of coupling coordination (CCD) between supply–demand of RES in Shandong province was 0.45, which is a mild balance. According to the supply–demand matching types, areas with low supply-high demand accounted for 6.62%, indicating a serious shortage matching of supply and demand. Using hotel quantity and roads as indicators of the supporting capacity of RES, the overall coordination between landscape aesthetic quality (LAQ) and regional hotel quantity shows a mild imbalance (0.38), while that with the regional road density shows a good balance (0.60). Furthermore, the scenery spots density, RES supply, RES supply–demand CCD and support capacity CCD shows an upward trend with the increase of elevation and slope, an “increased-decreased-increased” trend with the increase of terrain niche index. This study provides spatial matching of RES supply and demand in Shandong province. Optimizing land-use structures and improving natural resource allocation were proposed to boost coordination of RES supply and demand.

Nordic socio-recreational ecosystem services in a hydropeaked river

Fluctuating energy prices call for short-term river flow regulation at hydropower plants (HPPs), which can lead to hydropeaking – the pulsating water flow downstream from a HPP. Hydropeaking can affect land use areas of regulated rivers and subsequently their socio–recreational ecosystem services (SRESs). These areas often offer a range of services, such as swimming, boating, fishing, hiking, cycling, and berry picking. Such activities hold significant value in Nordic culture and for human wellbeing. We have examined how SRES land use areas are affected by hourly hydropeaking in a reach of the Kemijoki River in Finland. First, we determined the state of hydropeaking in the river by employing two indicators, normalized daily maximum flow difference and sub-daily flow ramping. Next, we looked at the spatiotemporal impacts of peaking hydrology using inundation maps derived from 2D-hydrodynamic modeling and a high-resolution land use map with clearly identified SRES areas. Finally, we examined the hazards to hydraulic safety in the river channel in the context of instream recreation. Our results show that hydropeaking levels in the study area remained consistently high throughout the entire study period, from 2010 to 2021. This was the case in all seasons except for the spring of 2013, 2016 and 2019. We determined that hydropeaking impacts on SRESs are mostly felt in the littoral zone (0.84 km2 i.e., 3.1 % of the study area) during the summer season as 25 % (0.21 km2) of this zone is influenced by hydropeaking. In addition, multiple recreational use areas in this zone, such as beaches, riparian forest, and summer cottages, were found to be affected by hydropeaking. The results show that most of the river channel becomes hydraulically unsafe during high ramping flows. The highest hazard to instream recreation opportunities is likely to occur during summer. Consequently, hydropeaking can threaten the social and recreational services of Nordic rivers.

Evolving environmental awareness and shifts in management priorities: a socioeconomic lens on the min river basin, China

Watersheds have experienced economic and demographic development for decades. In China, this development has been associated with environmental degradation, including water quality deterioration, abnormal stream flow, and biotic resource depletion. Effective watershed management incorporates sustainability and public involvement, enabling the long-term security of the human and natural world. Management strategies however need to take into account local conditions, as every watershed is unique. This paper adopts the analytic hierarchy process (AHP) combined with the random forest model to investigate the shift in participants’ environmental awareness across different socioeconomic groups over the past 15 years. Additionally, it scrutinizes the changing public perceptions on the management priorities and areas requiring enhancement. The AHP index highlighted the importance of environmental behavioral intentions (EBI) as a component of environmental awareness (EA). Between 2006 and 2021, significant changes occurred in public environmental awareness (perception, knowledge, behavioral intention) and perceived management priorities, stressing the need for timely adjustment of management policies. Notably, environmental concern (EC) appears to have decreased over time, reflecting effective management and increased governmental attention. Emphasis on the recreational ecosystem services offered by watershed forests has increased. Males, individuals aged over 40-years-old, and individuals located in the upper reaches possessed higher risk perceptions than other groups. These findings may help policymakers to adjust management priorities based on geographic region and may assist them in promoting more effective measures to communicate watershed sustainable management goals and strategies to the public.

Mobile phone data reveals spatiotemporal recreational patterns in conservation areas during the COVID pandemic

Understanding visitation patterns is crucial in developing effective conservation strategies for protected areas, as it serves as an indicator for operating an ecosystem management plan that balances biodiversity and ecosystem services intertwined with public health and social benefits. However, limited data availability during the COVID-19 pandemic has hindered the comprehensive understanding of temporal changes in realized cultural ecosystem services, particularly in recreational activities within these areas. Our study utilized GPS data from mobile phones to quantify visitor characteristics and their contribution to recreational ecosystem services in protected areas at a national scale during the COVID-19 pandemic. We estimated the pandemic's relative impact on visitor patterns at 98 visitor centers in national parks and Ramsar sites in Japan. The total number of visitors and travel distance in various sizes of protected areas decreased after the outbreak of COVID-19. The number of visitors in the protected areas displayed a quick recovery despite the increasing positive COVID-19 cases during the following summer. Post-pandemic, visitors showed a preference for less densely populated protected areas closer to their home range. Our findings partly suggest that protecting a diverse range of conservation areas along the urban gradient could be an effective strategy for maintaining the resilience of recreational services during a prolonged pandemic.

Characterizing nature-based recreation preferences in a Mediterranean small island environment using crowdsourced data

ABSTRACT Nature-based recreation is a key ecosystem service that contributes to positive physical and mental welfare but, at the same time, nature-based recreational activities can increase human pressure and impacts on natural areas and biodiversity. Understanding people’s preference for visiting natural settings is challenging due to data and methodological limitations. Social media data can be used to map nature-based recreation. However, variation in popularity of platforms and limitations to data accessibility are highlighting the importance of exploring and using different data sources. We analyzed complementary crowdsourced data using an automated content analysis refined by manual identification to assess nature-based recreation ecosystem services across the Maltese archipelago. A content analysis of images uploaded to Flickr between 2015 and 2021 was performed using the Google Vision machine learning algorithm to identify nature-based interactions and nature visitation patterns were modeled based on landscape characteristics, environmental variables and socio-economic parameters. Flickr data were compared and complemented with publicly available geolocated data from the iNaturalist platform. Significant difference was found between the spatial distribution of Flickr and iNaturalist data. Generalized linear models identified coastal areas, protected areas, natural habitats and accessibility via the road network as significant predictors of nature-based recreational visits. Localities with a higher percentage of people receiving old age and unemployment benefits were also positively correlated with users’ preference for nature-based recreation. Finally, we discussed how the low resource methodology developed here to identify people’s nature-based recreational preferences can be used to assess which natural areas should be prioritized for ecological restoration efforts.

Understanding recreational ecosystem service supply-demand mismatch and social groups’ preferences: Implications for urban–rural planning

Recreational ecosystem service (RES) supply and demand are fundamentally influenced by urbanization and are closely related to residents’ well-being. Nevertheless, how socio-economic attributes affect spatial RES demand and preferences and can be integrated into urban–rural planning is still unclear. Taking the Beijing-Tianjin-Hebei urban agglomeration region of China as an example, based on survey and spatial data, we applied the Recreation Opportunity Spectrum and a new transferable Quasi-Poisson regression model to examine spatial RES supply and demand. Then, a scaling approach was adopted to interpret the urban–rural spatial patterns of RES. The results showed that the RES supply values exhibited either quadratic relationships or no particular patterns in most cities along urban–rural gradients, while the RES demand values monotonically decreased with an exponential decay or power law. The RES imbalance with higher demand (43%) in urban areas, the supply–demand balance (37%) in urban–rural fringes, and the supply sufficiency (64%) in rural areas were dominant. Divergent RES demand and preferences were identified across genders, ages, income, city scales, and household statuses. Females showed higher preferences for water, grassland, and agricultural landscapes than males; older groups showed higher preferences for natural landscapes but traveled less distance for RES; and high-income groups showed a lower frequency of visits but pursued longer travel distances. We suggest that at both the regional-city and local-community levels, more adaptive and elaborate landscape planning and design should be implemented by integrating urban–rural heterogeneity and the specific population’s preferences into RES management.

Natural attributes or aesthetic attributes: Which is more valuable in recreational ecosystem services of nature-based parks considering tourists’ environmental knowledge and attitude impacts?

Nature-based tourism provides recreational ecosystem services for both local inhabitants and tourists being of considerable importance. Existing literature predominantly concentrates on the potential for environmental communication interventions to augment the public's willingness to pay (WTP) for nature-based recreational ecosystem services. However, scant attention has been paid to the impact of tourists' pre-existing environmental knowledge and attitudes on specific service attributes. In addressing this research gap, this study uses social surveys to design a choice experiment and employs mixed logit models to analyse tourists' preferences and WTP for recreational ecosystem services in the Yangtze River Delta, east China. The results reveal that tourists are more likely to pay for recreational ecosystem services attributes, with a stronger WTP for aesthetic attributes over natural ones. Tourists with more environmental knowledge and attitude are also more inclined to pay for reduced waste and lower tourist traffic. These findings suggest that environmental communication encourages trade-off considerations between natural and aesthetic attributes in determining WTP. Enhancing public education and promoting environmental protection awareness can effectively manage aesthetic services. Management implicationsOur results offer practical insights for improved natural resource management and planning for protected areas with nature-based tourism. We determined that tourists' environmental knowledge is significantly lower than actual inclinations towards environmental responsibility, particularly in waste classification, which significantly influences their environmental valuation and willingness to conserve nature. Encouraging waste classification awareness in parks and daily life can reinforce pro-environmental behaviour and promote the sustainable consumption of public goods. Furthermore, payment is strongly related to aesthetic attributes, with tourists demonstrating positive WTP for improved features. Planners can better regulate nature-based tourism by understanding which attributes tourists are willing to spend extra for, such as creating themed mini-zones with specific recreational attributes and controlling tourist flow. Administrators could also offer off-season volunteering opportunities for garbage collection, offering rewards such as discounted tickets. Finally, the lack of environmental knowledge among tourists highlights ecotourism's potential for driving change in the industry and daily life, emphasizing the need for a pro-environmental approach. Ecotourism managers can also leverage differences in tourist preference elasticity to reduce the total visitor numbers.

National scale mapping of supply and demand for recreational ecosystem services

Cultural ecosystem services (CES) are often underrepresented in ecosystem service assessments, despite the importance of these benefits. Recreation is often used to represent CES, however identifying, quantifying, and mapping these services continues to be a challenge. In this study, we develop a national CES map predicting recreation demand (e.g. walking, hiking, cycling) for the United Kingdom (UK). Recreation demand is calculated as the number of projected visits for local recreation, estimated using the universal law of human mobility which accounts for the attractiveness of an area. Recreation demand was found to be the greatest in areas surrounding high population centres, compared with protected sites which were deemed more attractive but were in more remote areas. This pattern was most pronounced when evaluating weekly visits, but was still evident where the visit frequency was reduced to annual. In this study, we also evaluate whether this demand is met for recreation by assessing the presence of paths. The mean for met demand (paths present) was 4.5 times greater than unmet demand (paths absent) for yearly visits across the UK. Generally, in the areas of highest demand close to populated centres, paths were present, making 84% of all yearly recreational demand met by path infrastructure. However, paths are lacking from 42% of the UK, with some of these areas coinciding with higher recreation demand, for example in the northeast and parts of Wales. Our study therefore highlights not only where the recreation demand is highest and access should be maintained, but also where demand for recreation exists but the infrastructure including paths are not present, and therefore has the potential to be improved. This information is useful for policy makers and land managers, as it allows areas to be prioritised for the maintenance and improvement of recreation provision under new land management policy.

Using social media data and machine learning to map recreational ecosystem services

Crowdsourced geotagged social media data and machine learning approaches have emerged as promising tools for mapping ecosystem services, especially cultural ecosystem services that are difficult to assess. Here, we use recreation to show how social media data, machine learning, and spatial analysis techniques can improve our understanding of human-nature interactions and the mapping of recreational ecosystem services. We extracted 80,500 photographs taken in non-urban areas of the Tahoe Central Sierra Initiative project area in California between 2005 and 2019 that were posted to the photo sharing application Flickr and used these as a proxy for recreational visits to the area. Automated image content analysis was used to identify the objects and concepts in the photographs and uncover the types of nature experiences that are important to visitors. Additionally, variable importance, a Random Forest machine learning technique, was used to examine the environmental and landscape variables that drive recreation in the area and to create a classification model that predicts the recreation potential of the entire area based on important variables. The automated image content analysis identified 1,239 unique labels linked to recreation, with mountains, hills, and rocks being the most prominent features (22%). Our Random Forest model indicates that vegetation cover, land cover, elevation, smoke days, and landscape features are major drivers of recreation in the area and are of interest to visitors in the area. The model predicted that 25.9% of the area has the potential to support recreational visits. Most of these recreation potential areas are in protected areas (77.8%), predominantly in conifer forests (66%) and within national forest boundaries, especially the Tahoe National Forest area (37.6%). These results show that recreational ecosystem services vary across landscapes and illustrate the need for improved mapping approaches to determine the provision of ecosystem services in different places. The analysis provides novel insights into the various ways social media data and machine learning techniques can be powerful components of ecosystem service research and how they hold great potential for monitoring and informing management interventions on ecosystem service provision, especially in places with limited traditional onsite visitation data.

Risk-based analysis of recreational ecosystem services supply and demand in beach areas of the Adriatic Sea

Beaches are important suppliers of recreational services to human beings, through bathing water resources, marine biodiversity and scenic values of coastal seascapes. This study presents a conceptual model for risk-based analysis of multiple anthropogenic stressors (e.g. nutrient load, marine litter, pollutants or pathogens) on recreational ecosystem services supply-demand patterns in beaches for seven regions of the Italian Adriatic Sea. Results of the supply-demand analysis show that the beaches in Puglia region have highest recreational supply, while demand for coastal recreation is highest in the beaches of Emilia-Romagna region, which is a region prone to mass recreational activities. Based on the supply-demand analysis we performed a risk assessment on recreational ecosystem services provision by analysing the exposure of beaches ecosystems to multiple stressors generated by different maritime (e.g. shipping, aquaculture) and land-based activities (e.g. agriculture). Beaches of the Northern Adriatic region suffer from high exposure to pollutants due to port activities, aquaculture industry, shipping, and riverine discharge. The presented study advances knowledge on the integration of ecosystem-services-based recreational supply-demand analysis in coastal areas and discusses its application potentials for sustainable management of coastal resources and the investigation of tourism flow to coastal recreational areas for large geospatial settings.

Using social media data to estimate recreational travel costs: A case study from California

Understanding the economic value of ecosystem services is necessary to facilitate sustainable land use management, and to inform policy and decision making. However, valuing and monetizing ecosystem services remains challenging. Benefit-transfer and non-market valuation methods typically rely on administrative data and surveys, but this is time consuming, limited, and requires much more resources. Social media and other types of big data provide accessible and georeferenced data that can be incorporated into valuation approaches. We use recreation as an example and the Tahoe Central Sierra Initiative (TCSI) project area in California as a case study to explore the usefulness of such data in estimating travel costs that form an integral part of determining the value of recreational ecosystem services through the travel cost model. We estimated 6,951 person user days of recreation from 2,245 visitors who uploaded photographs to the Flickr photo-sharing application between 2005 and 2019. We used metadata from the images to infer visitor origins and estimate trip distance and costs of travel for visitors that took day trips (<500 miles (∼800 kms) roundtrip) to the area. Our results show that the most demand for recreational opportunities in the TCSI came from domestic visitors, particularly those from California and Nevada who took day trips. On average, visitors spent $156 per single day trip. The total cost of travel for recreational visits to the TCSI for the period was $491,500 (an average of $32,800 per year). However, when adjusted to align with actual visitation, the travel costs could range from $1.35 to $1.84 billion per year. Estimating recreational use and highlighting the travel cost for recreational opportunities illustrates how crowdsourced data can refine valuation approaches such as the widely used travel cost approach, which may fill in data gaps in valuing ecosystem services.

Economics of Recreational Ecosystem Services : Application of Individual Travel Cost Method from Nandi Hills Forest in Karnataka

Economics of Recreational Ecosystem Services : Application of Individual Travel Cost Method from Nandi Hills Forest in Karnataka

Using Social Media Camping Data for Evaluating, Quantifying, and Understanding Recreational Ecosystem Services in Post-COVID-19 Megacities: A Case Study from Beijing

Recreational ecosystem services (RESs) are the diverse recreational opportunities provided by nature to humans, which contribute to the improvement of public health and social well-being. The use of online social media is an efficient method for quantifying public perceptions of recreational ecosystem services (RESs) delivered by a given landscape. With the continuously changing demand for nature-focused outdoor recreational activities since COVID-19, camping has become the fastest-growing outdoor leisure activity in megacities and a key indicator for how people perceive and value the RESs provided by the landscape. Such unexpected changings triggered by COVID-19 have further led to an imbalance between demand and supply, which results in fierce conflicts in urban green space management. This study presents a spatial pattern analysis of how people perceive RESs in a megacity-scale case study of Beijing using geo-tagged camping notes posted on Little Red Book (LRB). We employed these camping notes in the context of a megacity to (i) map public camping behaviors patterns in urban green spaces, (ii) evaluate spatial clusters of high/low RESs, and (iii) investigate the relationship between RESs, local landscape features, and gender through correspondence analysis. Our results show that considerable spatial clustering of camping behaviors was observed in both suburban and urban green spaces. However, suburbs revealed a substantially higher RES value than central urban areas. In addition, water bodies were discovered to have remarkably low RES, while grassland and urban forests were found to have a close link with higher RES. In addition, significant gender preferences have been discovered, where female visitors prefer to camp in grassland, and male visitors favor bare ground and urbanized regions. Our findings would assist decision-makers in optimizing urban green space planning and management, adapting to fast-changing public camping demands in the context of the post-COVID-19 era. Findings also contribute to the literature by applying spatial analysis of social media data to understand public outdoor recreation activities and perceived value for megacities’ green space management.

The impact of COVID-19 on the value of coastal recreational resource from the perspective of recreational behaviour change: Evident from China

The Corona Virus Disease 2019 (COVID-19) outbreak took a heavy toll on the global tourism industry in 2020, and affected the value realization of coastal recreational ecosystem service. From the micro perspective, this paper combines travel cost method with contingent behaviour method to obtain residents' actual behaviour and contingent behaviour data, and discusses the impact of the outbreak of COVID-19 on the value realization of coastal recreational resources from the perspective of the change in residents' recreational behaviour in Qingdao, China. Residents are observed to significantly reduce their outdoor activities in response to the COVID-19. The number of visits to the beach decreases by 25.2% when there is an outbreak, and decreases by 0.064% for every 1% increase in the number of confirmed cases, which is used to represent the severity of the epidemic. The asymmetries effects of epidemic situation on residents' recreational behaviour show that the improvements lead to larger and more significant impacts than the deteriorations. The disappearance of the pandemic crisis will provide considerable welfare for the citizens in Qingdao, which reaches to 1.9323 billion CNY/year. If the number of confirmed cases deteriorates to 900, the environmental welfare loss will be 0.3366 billion CNY/year. Additionally, we test the effects of residents' cognitive variables, and find that risk perception can strengthen the negative impacts of COVID-19 cases. Furthermore, the deteriorations in the environmental attributes are found to have stronger impacts on the number of visits than the improvements. This paper provides empirical-support results about the change of coastal recreational value through the evaluation of recreational behaviours in the post-epidemic period, which will give important implications for government's marine ecosystem restoration and coastal management work.

Small Recreational Boat Detection Using Sentinel-1 Data for the Monitoring of Recreational Ecosystem Services

Recreational ecosystem services are crucial for human well-being, and nature-based recreational activities often support local economies. However, tourism is very often one of many threads that contribute to the environment, and, therefore, data regarding its spatial patterns are necessary for the long-term sustainable development of a region. The present study describes a method for the detection of small boats (&lt;10 m in length) in lake conditions based on Sentinel-1 radar images. Our two-step algorithm uses adaptive thresholding and math morphology operators to extract boat detections. The algorithm was validated on 14 images of different types of lakes in the Great Masurian Lake District, Poland. The detection accuracy was 88.17%. We also assessed the spatial and temporal distribution of tourist traffic and compared satellite data to field data. The correlation between the satellite-based map and field observations was 0.76.

Transforming Research on Recreational Ecosystem Services into Applications and Governance

The science-practice gap has recently been discussed as a critical challenge restricting sustainable growth and development in all facets of our society, including explorations of Recreation Ecosystem Services (RES). To better explore how well the scientific study of RES and its application are connected, this paper aims to synthesize empirical evidence based on an in-depth and systematic literature review. We found that studies of RES have not effectively transformed into the decision-making and long-term planning of our cities. From 2005 to 2020, only 13% of studies referred to specific applications, and about 40% of papers mentioned no applications or practical implications for their research. However, RES research has many potential applications, which can be categorised into six main aspects. In terms of non-spatial improvement: Improved monetary benefits (40%), non-monetary benefits (30%); in terms of spatial improvement: space with high recreational potential or degradation (7%), the relation between supply and demand (7%); and Cross-service governance (16%). After combining the results of various studies, we developed a framework starting from applicable problems and their solutions, which can incorporate the outcomes of RES research while systematically narrowing down the research questions and methods. The framework offers a starting point for further research that can modify and improve in bridging science-practice gaps in RES studies.

Impact of protected area management on local communities: A perspective of recreational ecosystem services

The environmental effects of protected area (PA) management have been widely examined; however, the socioeconomic impact of PAs on local communities is not understood well. This study used the Three-River-Source National Park as a case study area to examine how changes in recreational ecosystem services (RES) affect local communities due to PA management by applying a mixed method, including comprehensive indices, spatial statistics, and the Q method. The results indicate that certain local communities have lost advantages in RES utilization owing to changes in RES delivery caused by facilities and spatial restriction policies. Some of these communities are at a high risk of becoming impoverished again. Communities that have experienced the disappearance or decline of advantages in RES utilization present pessimistic attitudes toward ecotourism development, government support, and sustainable livelihood. This study provides theoretical contributions and practical implications for PAs managers.

A social–ecological geography of southern Canadian lakes

Anthropogenic pressures, including urban and agricultural expansion, can negatively influence a lake's capacity to provide aquatic ecosystem services (ES). However, identifying lakes most at risk of losing their ES (i.e., higher vulnerability) requires integrating information on lake ecological state, global change threats, and ES use. Here, we provide a social–ecological framework that combines these features within a regional context by evaluating the ecological state of 659 lakes across Canada. Using the deviation of impacted lakes from reference ones, we identified much higher total nitrogen and chloride concentrations as the main indicators of an altered lake ecological state in all regions identified. Lake ecological state was mapped using an additive colour model along with regional scores of threat levels and recreational ES use. Urban and agriculturally developed areas were linked to higher lake vulnerability and ES loss. Lakes in Southern Ontario were most concerning, being highly altered, under threat, and heavily used. Lakes near coastal urban centers were altered and used, but less threatened, whereas those in the Prairies were altered and threatened, but less used. Our novel framework provides the first social–ecological geography of Canadian lakes, and is a promising tool to assess lake state and vulnerability at scales relevant for management.

Piloting accounts for recreational ecosystem services: Quality, use, and monetary value of freshwaters in Finland

Piloting accounts for recreational ecosystem services: Quality, use, and monetary value of freshwaters in Finland