TY - JOUR
T1 - Understanding Spatial Variation in the Drivers of Nature-based Tourism and Their Influence on the Sustainability of Private Land Conservation
AU - Baum, Julia
AU - Cumming, Graeme S.
AU - De Vos, Alta
N1 - Funding Information:
We are grateful to the many PLCA owners and managers who gave generously of their time and expertise to provide the data that we used in this analysis. This research was funded by a James S. McDonnell Foundation Complexity Scholar award to GSC and the DST-NRF Centre of Excellence at the Percy FitzPatrick Institute.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/10
Y1 - 2017/10
N2 - Protected areas connect socio-economic and ecological systems through their provision of ecosystem goods and services. Analysis of ecosystem services allows the expression of ecological benefits in economic terms. However, cultural services, such as recreation opportunities, have proved difficult to quantify. An important challenge for the analysis of cultural services is to understand the geography of service provision in relation to both human and ecological system elements. We used data on visitation rates and measures of context, content, connectivity, and location for 64 private land conservation areas (PLCAs) to better understand geographic influences on cultural service provision. Visitation to PLCAs was influenced by a combination of ecological and socio-economic drivers. Variance partitioning analysis showed that ecology explained the largest proportion of overall variation in visitation rates (26%), followed by location (22%). In tests using generalized linear mixed models, individual factors that significantly explained visitation rates included the number of mammal species, the number of Big 5-species (ecological variables), the number of facilities provided (infrastructure) and average accommodation charges (affordability). Our analysis has important implications for the economic sustainability of PLCAs and more generally for understanding the relevance of spatial variation for analyses of cultural services.
AB - Protected areas connect socio-economic and ecological systems through their provision of ecosystem goods and services. Analysis of ecosystem services allows the expression of ecological benefits in economic terms. However, cultural services, such as recreation opportunities, have proved difficult to quantify. An important challenge for the analysis of cultural services is to understand the geography of service provision in relation to both human and ecological system elements. We used data on visitation rates and measures of context, content, connectivity, and location for 64 private land conservation areas (PLCAs) to better understand geographic influences on cultural service provision. Visitation to PLCAs was influenced by a combination of ecological and socio-economic drivers. Variance partitioning analysis showed that ecology explained the largest proportion of overall variation in visitation rates (26%), followed by location (22%). In tests using generalized linear mixed models, individual factors that significantly explained visitation rates included the number of mammal species, the number of Big 5-species (ecological variables), the number of facilities provided (infrastructure) and average accommodation charges (affordability). Our analysis has important implications for the economic sustainability of PLCAs and more generally for understanding the relevance of spatial variation for analyses of cultural services.
KW - Cultural ecosystem services
KW - Ecotourism
KW - Nature-based tourism
KW - Private Land Conservation
KW - Private protected areas
KW - Social-ecological systems
KW - South Africa
UR - http://www.scopus.com/inward/record.url?scp=85019170699&partnerID=8YFLogxK
U2 - 10.1016/j.ecolecon.2017.05.005
DO - 10.1016/j.ecolecon.2017.05.005
M3 - Article
AN - SCOPUS:85019170699
SN - 0921-8009
VL - 140
SP - 225
EP - 234
JO - Ecological Economics
JF - Ecological Economics
ER -