Spatial social value distributions for multiple user groups in a coastal national park

被引:9
作者
Ancona, Zachary H. [1 ]
Bagstad, Kenneth J. [1 ]
Le, Lena [2 ]
Semmens, Darius J. [1 ]
Sherrouse, Ben C. [1 ]
Murray, Grant [3 ]
Cook, Philip S. [4 ]
DiDonato, Eva [5 ]
机构
[1] US Geol Survey, Geosci & Environm Change Sci Ctr, POB 25046,MS 980, Denver, CO 80225 USA
[2] Washington State Univ, Social & Econ Sci Res Ctr, Pullman, WA 99164 USA
[3] Duke Univ, Nicholas Sch Environm, Beaufort, NC 28516 USA
[4] Univ Idaho, Policy Anal Grp, Coll Nat Resources, Moscow, ID 83844 USA
[5] Natl Pk Serv, Ocean & Coastal Resources Branch, Ft Collins, CO 80525 USA
关键词
Protected area management; Public participation GIS (PPGIS); Social values for ecosystem services (SolVES); CULTURAL ECOSYSTEM SERVICES; GEOGRAPHIC INFORMATION-SYSTEMS; PUBLIC-PARTICIPATION; TRADE-OFFS; MARINE; MANAGEMENT; INTERNET; FORESTS; PEOPLE; PPGIS;
D O I
10.1016/j.ocecoaman.2022.106126
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Managing public lands to maximize societal benefits requires spatially explicit understanding of societal valuation, and public participation geographic information systems (PPGIS) are increasingly used in coastal settings to accomplish this task. Social Values for Ecosystem Services (SolVES), a PPGIS tool that systematizes the mapping and modeling of social values and cultural ecosystem services, is promising for use in coastal settings but has seen relatively limited applications relative to other PPGIS approaches; it has also, to our knowledge, not yet been applied in a barrier island setting. In this study, we surveyed two visitor groups and residents living near Cape Lookout National Seashore (North Carolina, USA) to understand their social values in the context of the park's management needs. We developed social-value models to evaluate differences between three user groups (fall visitors, summer visitors, and residents) and to evaluate how respondents' experiences, attitudes, and recreational activities influence the locations they value and their most strongly held value types, which included aesthetic, recreation, biodiversity, future, therapeutic, and historic values. We found that accessibility, user types and the seasonality of major recreational activities, and the linear configuration of the barrier island system at Cape Lookout are important influences on the social values held by visitors and residents. The modeling results provide information relevant to management at Cape Lookout and can inform the design of future PPGIS studies in coastal and marine settings.
引用
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页数:17
相关论文
共 72 条
[11]   Mixed methods participatory GIS: An evaluation of the validity of qualitative and quantitative mapping methods [J].
Brown, Greg ;
Strickland-Munro, Jennifer ;
Kobryn, Halina ;
Moore, Susan A. .
APPLIED GEOGRAPHY, 2017, 79 :153-166
[12]   Stakeholder analysis for marine conservation planning using public participation GIS [J].
Brown, Greg ;
Strickland-Munro, Jennifer ;
Kobryn, Halina ;
Moore, Susan A. .
APPLIED GEOGRAPHY, 2016, 67 :77-93
[13]   Empirical PPGIS/PGIS mapping of ecosystem services: A review and evaluation [J].
Brown, Greg ;
Fagerholm, Nora .
ECOSYSTEM SERVICES, 2015, 13 :119-133
[14]   Expanding the role of participatory mapping to assess ecosystem service provision in local coastal environments [J].
Burdon, D. ;
Potts, T. ;
McKinley, E. ;
Lew, S. ;
Shilland, R. ;
Gormley, K. ;
Thomson, S. ;
Forster, R. .
ECOSYSTEM SERVICES, 2019, 39
[15]  
Cook P.S., 2015, Cape Lookout National Seashore visitor and resident studies: Fall 2013-Summer 2014
[16]   Spatial characterization of non-material values across multiple coastal production landscapes in the Indian Sundarban delta [J].
Dasgupta, Rajarshi ;
Hashimoto, Shizuka ;
Basu, Mrittika ;
Okuro, Toshiya ;
Johnson, Brian Alan ;
Kumar, Pankaj ;
Dhyani, Shalini .
SUSTAINABILITY SCIENCE, 2022, 17 (03) :725-738
[17]  
Dillman D. A., 2014, Internet, phone, mail, and mixed-mode surveys: The tailored design method, V4
[18]  
Doming M.A., 2017, Current Landscape Ecology Reports, V2, P73, DOI [10.1007/s40823-017-0025-1, DOI 10.1007/S40823-017-0025-1]
[19]   A statistical explanation of MaxEnt for ecologists [J].
Elith, Jane ;
Phillips, Steven J. ;
Hastie, Trevor ;
Dudik, Miroslav ;
Chee, Yung En ;
Yates, Colin J. .
DIVERSITY AND DISTRIBUTIONS, 2011, 17 (01) :43-57
[20]  
ESRI, 2010, ARCGIS DESKTOP 1061