TY - JOUR

T1 - Cultural Ecosystem Services (CES) in landscapes with a tourist vocation

T2 - Mapping and modeling the physical landscape components that bring benefits to people in a mountain tourist destination in southeastern Brazil

AU - Bachi, Laura

AU - Carvalho Ribeiro, Sónia

AU - Hermes, Johannes

AU - Saadi, Allaoua

PY - 2020/4

Y1 - 2020/4

N2 - Mapping and modeling non-material benefits such as scenic beauty, heritage, leisure and its associated subjective dimensions raise numerous challenges. There is thus the need to forge new methodological approaches in order to include people’s preferences into tourism planning and management. This work presents a spatially explicit modeling approach to assess and map Cultural Ecosystem Services (CES) in landscapes with a tourist vocation. The results show that landscape users (local residents, entrepreneurs and tourists) prefer land covers such as rocky outcrops and Atlantic Forest, which are associated with CES such as aesthetics and recreation/ecotourism. Our results also show that Araucaria and Atlantic Forest are associated to CES hotspots with high degree of multifunctionality. The method we propose likely contributes to advancing the modeling of CES based on the preferences of landscape users. This method can be applied for better management and spatial planning of tourist destinations.

AB - Mapping and modeling non-material benefits such as scenic beauty, heritage, leisure and its associated subjective dimensions raise numerous challenges. There is thus the need to forge new methodological approaches in order to include people’s preferences into tourism planning and management. This work presents a spatially explicit modeling approach to assess and map Cultural Ecosystem Services (CES) in landscapes with a tourist vocation. The results show that landscape users (local residents, entrepreneurs and tourists) prefer land covers such as rocky outcrops and Atlantic Forest, which are associated with CES such as aesthetics and recreation/ecotourism. Our results also show that Araucaria and Atlantic Forest are associated to CES hotspots with high degree of multifunctionality. The method we propose likely contributes to advancing the modeling of CES based on the preferences of landscape users. This method can be applied for better management and spatial planning of tourist destinations.

KW - Intangible landscape values

KW - Landscape

KW - Participative methods

KW - Tourism management

UR - http://www.scopus.com/inward/record.url?scp=85074054814&partnerID=8YFLogxK

U2 - 10.1016/j.tourman.2019.104017

DO - 10.1016/j.tourman.2019.104017

M3 - Article

VL - 77

JO - Tourism management

JF - Tourism management

SN - 0261-5177

M1 - 104017

ER -