Search

Online social media represent an extensive, opportunistic source of behavioral data and revealed preferences for ecosystem services (ES) analysis. Such data may allow to advance the approach, scale and timespan to which ES are assessed, mapping and valued. This is especially relevant in the context of developing regions whose decision support tools are often limited by a lack of resources and funding. This research presents an economic valuation tool for recreational ES, suitable at wide spatial scales, relying on crowdsourced metadata from social media with a proof of concept tested on an Indian tropical Ramsar wetland. We demonstrate how geotagged photographs from Flickr can be used in the context of a developing country to (i) map nature-based recreation patterns, (ii) value recreational ecosystem services, and (iii) investigate how recreational benefits are affected by changes in ecosystem quality. The case-study application is the Vembanad Lake in Kerala, India, and the adjacent backwaters. Geographic Information Systems are implemented to extract 4328 Flickr photographs that are used to map hot spots of recreation and infer the home location of wetland visitors from within Kerala state with good accuracy. An individual, single-site travel cost demand function is generated and estimated using both Poisson and Negative Binomial regressions, which results in mean consumer surplus estimates between Rs. 2227–3953 ($34–$62) per visit and annual domestic recreation benefits of Rs. 7.53–13.37 billion ($115.5–$205 million) in the investigated wetlands. Improvement in water quality to a level that supports wildlife and fisheries is projected to result in a Rs. 260 million ($4 million) annual increase in recreational benefits, while restoring previously encroached lake area would result in almost Rs. 50 million ($760,000) in yearly value increase. [ABSTRACT FROM AUTHOR]

Global demand for freshwater is increasing as human population grows, climate changes and water resources are being overexploited. Consequently, many freshwater ecosystems, particularly in water-stressed regions, are severely degraded. Here we present a unique case of an Interbasin Water Transfer (IWT) project aiming at ecosystem rehabilitation and recreation enhancement of an intermittent transboundary stream (Ayun, Israel). For the past century, water diversion at the Lebanese side had led to flow secession in the Israeli Ayun Nature Reserve during the dry season (May–November). To restore flow continuum, a sum of 0.5 million cubic meters of high quality freshwaters have been allocated annually during the dry months. The aim of this study is to evaluate the IWT project by: (1) examining the correlation between water flow in the Ayun and recreational visitation, and (2) performing a cost-benefit analysis of the IWT scheme, including non-market benefits. A time-series regression (Adj. R 2 = 0.688, n = 125) shows that a 10% increase in water flow corresponds to a 2.1% increase in monthly visitors. An estimated 18.8% of the visitation rate between 2009 and 2015 can be attributed to the water reallocation project. Through a single-site travel cost model, we estimate the visitor's willingness to pay in US$ 37.8 per person per trip. When non-market benefits for recreation are included, the total benefits of the IWT project substantially exceed its costs. Our results suggest that IWT can be applied to restore water flow and enhance ecosystem services also in water-stressed regions. [ABSTRACT FROM AUTHOR]

Protected areas offer unique opportunities for recreation, but the non-market nature of these benefits presents a significant challenge when trying to represent value in the decision-making processes. The most common techniques to value recreation are based on resource-intensive primary surveys which are difficult to perform at a large scale or in remote locations. This is true in the case of Italy, where a large and diverse network of protected areas suffers from lack of data. Here, we offer an alternative data source for the valuation of recreation by integrating the metadata of geotagged photographs from social media into single-site, individual travel cost models for 67 Italian protected areas. Count data model results are generally consistent with standard economic and consumer demand theory for ordinary goods, with a zero-truncated Poisson model returning down sloping demand curves for 50 of 67 sites. A significant travel cost coefficient was returned for 33 sites (p -value <0.05) for which consumer surplus estimates were found in the range between €6.33 and €87.16, with a mean value per trip of €32.82. Although not without their own challenges, the results presented highlight the possibilities of new forms of spatial big data as a novel data source for environmental economists. [ABSTRACT FROM AUTHOR]

• Crowdsourced travel cost method validated against representative surveys. • Regional visitor-days are highly correlated between Flickr and survey data. • Value estimates highly correlated between Flickr and survey data. • MAE of €4.93 and MAPE of 22% for German national parks. • Flickr estimates outperform basic unit value transfer. Representing the economic value of recreation generated by natural ecosystems can provide a powerful incentive for their conservation. Demonstrating value, however, requires resource-intensive surveys or reliance on techniques which transfer value from other sites. Recent technological developments have contributed to an abundance of georeferenced public data as an alternative for exploring human-nature interactions, offering a potential substitute to costly and time-consuming visitor surveys and their commonly adopted alternative for the valuation of recreation, value transfer. Here, we (1) integrate data crowdsourced from geotagged photographs from social media into the travel cost method non-market valuation technique and (2) validate the results with value estimates generated using representative on-site surveys for German national parks and value transfer techniques. As expected from standard economic and consumer demand theory for ordinary goods, we find downsloping demand curves. Consumer surplus for access to the parks ranges between €16.54 and €34.90 (2016 rates). Value estimates are significantly correlated with those generated by on-site surveys, with a mean absolute error of €4.93 and a mean absolute percentage error of 22%, outperforming basic unit value transfer. We highlight the entailed, unprecedented opportunities to extend the scope and reduce costs of research seeking to value outdoor recreation. [ABSTRACT FROM AUTHOR]