Assessing cultural ecosystem services of a large marine protected area through social media photographs

2019 ◽  
Vol 176 ◽  
pp. 40-48 ◽  
Author(s):  
Jared Retka ◽  
Paul Jepson ◽  
Richard J. Ladle ◽  
Ana C.M. Malhado ◽  
Felipe A.S. Vieira ◽  
...  
Keyword(s):  
Social Media ◽  
Ecosystem Services ◽  
Protected Area ◽  
Marine Protected Area ◽  
Cultural Ecosystem Services

Enriching social media data allows a more robust representation of cultural ecosystem services

2021 ◽  
Vol 50 ◽  
pp. 101328
Author(s):  
Nathan Fox ◽  
Laura J. Graham ◽  
Felix Eigenbrod ◽  
James M. Bullock ◽  
Katherine E. Parks
Keyword(s):  
Social Media ◽  
Ecosystem Services ◽  
Cultural Ecosystem Services ◽  
Social Media Data ◽  
Robust Representation ◽  
Media Data

Exploring dual discount rates for ecosystem services: Evidence from a marine protected area network

2019 ◽  
Vol 55 ◽  
pp. 63-80 ◽  
Author(s):  
Felipe Vasquez-Lavín ◽  
Roberto D. Ponce Oliva ◽  
José Ignacio Hernández ◽  
Stefan Gelcich ◽  
Moisés Carrasco ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Protected Area ◽  
Marine Protected Area ◽  
Area Network ◽  
Discount Rates ◽  
Protected Area Network

scholarly journals Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs

2019 ◽  
Vol 11 (1) ◽  
pp. 558-571 ◽  
Author(s):  
Aitor Àvila Callau ◽  
María Yolanda Pérez Albert ◽  
Joan Jurado Rota ◽  
David Serrano Giné
Keyword(s):  
Social Media ◽  
Big Data ◽  
Content Analysis ◽  
Ecosystem Services ◽  
Protected Area ◽  
Depth Information ◽  
Natural Park ◽  
Landscape Characterization ◽  
Automated Content Analysis ◽  
Natural Landscapes

Abstract Landscape characterisation using social media photographs from popular platforms has been proposed as a landscape and ecosystem services approach. However, popular crowdsourced websites provide uncharacterized data and are only representative of the general public. Photographs from crowdsourced sports platforms, whose users are more homogeneous, could help to characterise landscape more uniformly. In this study we use automated content analysis from photographs on Wikiloc, a crowd-sourced sports platform, to characterize landscape in the Ebro Delta Natural Park, a protected area in Spain. Our approach applies big data procedures and spatial analysis to provide in-depth information regarding what draws visitors’ attention to a landscape and to ascertain their intrasite flow. Our results show that sports users are keen on natural landscapes and pay less attention to rural and degraded landscapes, and that areas closer to paths are more photographed than more distant areas.

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