Benefits of crowd-sourced GPS information for modelling the recreation ecosystem service

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.

Recreational beneficiaries and their landscape dependencies across national estuary program sites: Tillamook Bay (OR) and Tampa Bay (FL), USA

This study aims to characterize the value associated with nature-based recreational opportunities and identify estuarine attributes most valued by users. With the National Ecosystem Service Classification System as a framework, we assessed the relationship between recreational beneficiary subclasses and ecological end-products available to beneficiaries in Tillamook Bay, OR, and Tampa Bay, FL estuaries. We used the InVEST recreation model to assess the spatial distribution and intensity of recreation in both estuaries, then inform site selection in subsequent analyses. We evaluated photo content and collected observational data at sites with the highest utilization. Surveys of location attributes helped determine the availability of ecosystem service ecological end-products. Ordination techniques were employed to evaluate similarities in natural and human-made attributes across stations and establish groups of stations that could offer comparable recreational experiences. Recreational 'experiencers and viewers' were the dominant beneficiary group, as they took the most photos and were most often encountered during passive onsite observations. Composite features (e.g. viewscapes) were the predominant ecological end-products. Counter to hypothesized outcomes, there was no detectable difference in the number of recreational beneficiaries predicted between estuaries after accounting for site-scale variability. Locations with multiple natural and human-made attributes, including access points, had more recreational users. Onsite observations also revealed a potential need for more safe and equitable access options in high-use locations. Findings highlight the importance of recreational 'experiencers and viewers' valuing habitat mosaics, even across vastly different geographical settings. This exploration of how humans derive well-being from coastal landscapes is crucial to ecosystem-based management.

Model ensembles of ecosystem services fill global certainty and capacity gaps

Sustaining ecosystem services (ES) critical to human well-being is hindered by many practitioners lacking access to ES models ("the capacity gap") or knowledge of the accuracy of available models ("the certainty gap"), especially in the world's poorer regions. We developed ensembles of multiple models at an unprecedented global scale for five ES of high policy relevance. Ensembles were 2 to 14% more accurate than individual models. Ensemble accuracy was not correlated with proxies for research capacity, indicating that accuracy is distributed equitably across the globe and that countries less able to research ES suffer no accuracy penalty. By making these ES ensembles and associated accuracy estimates freely available, we provide globally consistent ES information that can support policy and decision-making in regions with low data availability or low capacity for implementing complex ES models. Thus, we hope to reduce the capacity and certainty gaps impeding local- to global-scale movement toward ES sustainability.

Spatial analysis of cultural ecosystem services using data from social media: A guide to model selection for research and practice

Experiences gained through in person (in-situ) interactions with ecosystems provide cultural ecosystem services. These services are difficult to assess because they are non-material, vary spatially and have strong perceptual characteristics. Data obtained from social media can provide spatially-explicit information regarding some in-situ cultural ecosystem services by serving as a proxy for visitation. These data can identify environmental characteristics (natural, human and built capital) correlated with visitation and, therefore, the types of places used for in-situ environmental interactions. A range of spatial models can be applied in this way that vary in complexity and can provide information for ecosystem service assessments. We deployed four models (global regression, local regression, maximum entropy and the InVEST recreation model) to the same case-study area, County Galway, Ireland, to compare spatial models. A total of 6,752 photo-user-days (PUD) (a visitation metric) were obtained from Flickr. Data describing natural, human and built capital were collected from national databases. Results showed a blend of capital types correlated with PUD suggesting that local context, including biophysical traits and accessibility, are relevant for in-situ cultural ecosystem service flows. Average trends included distance to the coast and elevation as negatively correlated with PUD, while the presence of major roads and recreational sites, population density and habitat diversity were positively correlated. Evidence of local relationships, especially town distance, were detected using geographic weighted regression. Predicted hotspots for visitation included urban areas in the east of the region and rural, coastal areas with major roads in the west. We conclude by presenting a guide for researchers and practitioners developing cultural ecosystem service spatial models using data from social media that considers data coverage, landscape heterogeneity, computational resources, statistical expertise and environmental context.

Next steps for ecosystem service models: integrating complex interactions and beneficiaries

Accounting for ecosystem services (ES)—the ways in which society and people directly benefit from ecological processes and functions—is crucial for developing sustainable landscape management approaches that consider the interrelationship between people and nature. Previous research has produced models that estimate the provision of potential ES by landscapes to help inform policy and stakeholder decision-making. However, most modelling efforts do not consider the delivery of ES to specific human populations or communities, making it difficult to evaluate any possible human welfare implications from alternative land use planning scenarios. In this paper, we first explore the recent state of science of ES modelling from the perspective of ES provision and delivery to the people that benefit from them. Second, we propose the addition of some essential aspects of complexity using the classic social–ecological system framework, crucial for developing models to inform pragmatic decision-making. Our propositions are illustrated using simplified examples inspired by sea otter conservation in the seascapes of British Columbia. Integrating these concepts in future ES models should serve as a baseline for future management approaches that more adequately capture the important implications of landscape scenarios on human well-being.

Mapping wild seafood potential, supply, flow and demand in Lithuania

While member states have made a great effort into mapping ecosystem services (ES) in Europe, much work is still needed, especially in the marine domain. Difficulties in understanding the ecological functioning of marine ecosystem services (MES), together with the lack of administrative and technical resources, calls for the development of new assessment approaches. Even for the well-studied MES, the provision of wild seafood, few studies focus on mapping and mostly in a qualitative way by applying expert-based methods. This study aims to quantitatively map MES by developing new methodological frameworks for each of the components of the cascade model for wild seafood provision. The results showed a high potential of wild seafood provision in coastal areas, contrasting with offshore areas of the Exclusive Economic Zone (EEZ). Wild seafood is mainly supplied in the central part of the EEZ and is influenced by biological (e.g. sediments) and anthropogenic (e.g. shipping) factors. The flow was mapped using the location of first buying companies, restaurants, hotels, and supermarkets showing that the highest values were located in the urban areas. The coastal zone has a high flow as a consequence of the high density of fish selling points. The demand was mapped using the population density, number of tourists, and the fish consumption per capita; showing a high demand for fish products in urban as coastal areas. A validation step for the developed potential and supply, the analysis of the limitations and methodological considerations for all components, highlights the future data needs; showing decision-makers where to direct efforts. Mapping all components of wild seafood provision is critical to understand dynamics, the trade-offs associated, and its role in the socio-economic dimensions of coastal communities. This information can then be integrated into decision-making by showing the advantages in achieving a sustainable provision of wild seafood.

Nature's contributions to people in mountains: A review

Mountains play a key role in the provision of nature’s contributions to people (NCP) worldwide that support societies’ quality of life. Simultaneously, mountains are threatened by multiple drivers of change. Due to the complex interlinkages between biodiversity, quality of life and drivers of change, research on NCP in mountains requires interdisciplinary approaches. In this study, we used the conceptual framework of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) and the notion of NCP to determine to what extent previous research on ecosystem services in mountains has explored the different components of the IPBES conceptual framework. We conducted a systematic review of articles on ecosystem services in mountains published up to 2016 using the Web of Science and Scopus databases. Descriptive statistical and network analyses were conducted to explore the level of research on the components of the IPBES framework and their interactions. Our results show that research has gradually become more interdisciplinary by studying higher number of NCP, dimensions of quality of life, and indirect drivers of change. Yet, research focusing on biodiversity, regulating NCP and direct drivers has decreased over time. Furthermore, despite the fact that research on NCP in mountains becoming more policy-oriented over time, mainly in relation to payments for ecosystem services, institutional responses remained underexplored in the reviewed studies. Finally, we discuss the relevant knowledge gaps that should be addressed in future research in order to contribute to IPBES.