| Literature DB >> 22720006 |
Berta Martín-López1, Irene Iniesta-Arandia, Marina García-Llorente, Ignacio Palomo, Izaskun Casado-Arzuaga, David García Del Amo, Erik Gómez-Baggethun, Elisa Oteros-Rozas, Igone Palacios-Agundez, Bárbara Willaarts, José A González, Fernando Santos-Martín, Miren Onaindia, Cesar López-Santiago, Carlos Montes.
Abstract
Ecosystem service assessments have increasingly been used to support environmental management policies, mainly based on biophysical and economic indicators. However, few studies have coped with the social-cultural dimension of ecosystem services, despite being considered a research priority. We examined how ecosystem service bundles and trade-offs emerge from diverging social preferences toward ecosystem services delivered by various types of ecosystems in Spain. We conducted 3,379 direct face-to-face questionnaires in eight different case study sites from 2007 to 2011. Overall, 90.5% of the sampled population recognized the ecosystem's capacity to deliver services. Formal studies, environmental behavior, and gender variables influenced the probability of people recognizing the ecosystem's capacity to provide services. The ecosystem services most frequently perceived by people were regulating services; of those, air purification held the greatest importance. However, statistical analysis showed that socio-cultural factors and the conservation management strategy of ecosystems (i.e., National Park, Natural Park, or a non-protected area) have an effect on social preferences toward ecosystem services. Ecosystem service trade-offs and bundles were identified by analyzing social preferences through multivariate analysis (redundancy analysis and hierarchical cluster analysis). We found a clear trade-off among provisioning services (and recreational hunting) versus regulating services and almost all cultural services. We identified three ecosystem service bundles associated with the conservation management strategy and the rural-urban gradient. We conclude that socio-cultural preferences toward ecosystem services can serve as a tool to identify relevant services for people, the factors underlying these social preferences, and emerging ecosystem service bundles and trade-offs.Entities:
Mesh:
Year: 2012 PMID: 22720006 PMCID: PMC3377692 DOI: 10.1371/journal.pone.0038970
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Studies analyzing social perceptions of ecosystem services.
| Source | Type of ecosystems(after | Category of ecosystem services (after | Study area | Methodology | Stakeholderssampled |
| Martín-López, 2007 | Wetlands | Provisioning; Regulating; Cultural | Doñana Protected Area,Spain | Face-to-face questionnaires | Local people, visitors, environmental experts |
| Rönnbäck, 2007 | Coastal system (mangroves) | Provisioning; Regulating; Cultural | Gazi and Makongeni, Kenia | Semi-structured interviews | Local people |
| Agbenyega, 2008 | Forests | Supporting; Provisioning; Regulating; Cultural | Eastern England, UK | Questionnaires | Local people |
| Iftekhar, 2008 | Wetlands | Supporting; Provisioning; Regulating; Cultural | Nijhum Dwip, Bangladesh | Individual interviews andgroup meetings | Local people andkey informants |
| Sodhi, 2009 | Forests | Provisioning; Regulating; Cultural | Forested parks in Myanmar, Philippines, and Thailand | Individual interviews | Local people |
| Hartter, 2010 | Forests andwetlands | Provisioning; Regulating | The Kibale National Park, Uganda | Semi-structured interviews | Local people |
| Zheng, 2010 | Drylands | Provisioning; Regulating; Cultural | Mongolia Plateau | Individual interviews and face-to-face questionnaires | Local people |
| Castro, 2011 | Drylands | Provisioning; Regulating; Cultural | Almería, Spain | Face-to-face questionnaires | Local people, visitors, environmental experts |
| Lamarque, 2011 | Grasslands ofmountains | Provisioning; Regulating; Cultural | French Alps, Austrian Alps,and English uplands | Individual and groupinterviews | Regional experts andlocal farmers |
| Vilardy, 2011 | Coastal wetland | Provisioning; Regulating; Cultural | Ciénaga Grande of SantaMarta, Colombia | Semi-structured interviewsand expert meetings | Local people and environmental experts |
| Warren-Rhodes,2011 | Coastal system (mangroves) | Provisioning; Regulating; Cultural | Solomon Islands | Semi-structured interviews | Local people |
| Calvet-Mir, 2012 | Home gardens | Provisioning; Regulating; Cultural | Catalan Pyrenees, Spain | Semi-structured interviewsand questionnaires | Local people, visitors,and scientists |
Figure 1Study areas.
Sample points are indicated with red circles. National and Natural Parks are shown in dark and light green, respectively.
Logit regression for respondents’ recognition of an ecosystem’s capacity to provide services.
| Variables | Coefficient | Standard deviation |
|
| [95% C.I.] | |
| Constant | 1.156 | 0.999 | 1.362 | 0.234 | −0.785 | 3.096 |
| Education | 0.385 | 0.066 | 33.557 | <0.0001 | 0.254 | 0.515 |
| Female | 0.212 | 0.130 | 2.669 | 0.072 | −0.042 | 0.466 |
| Organization | 0.572 | 0.247 | 5.335 | 0.021 | 0.087 | 1.057 |
| PAs | 0.423 | 0.128 | 10.856 | 0.001 | 0.171 | 0.674 |
|
| ||||||
| Log-likelihood = 1892.67, Wald Chi-squared = 72.23, ( | ||||||
| AIC = 1904.67 | ||||||
| Percentage of correct estimated predictions (%) = 90.47% | ||||||
C.I. refers to its 95% confidence.
PAs = If respondent visited protected areas during the previous year.
Figure 2Perception of stakeholders regarding an ecosystem’s capacity to provide services.
Ecosystem classification based on the Millennium Ecosystem Assessment [71].
Descriptive statistics of respondents’ preferences toward ecosystem services.
| Ecosystem services |
| Mean (%) | S.D. |
|
| |||
| Agriculture | 905 | 26.8 | 0.44 |
| Cattle | 788 | 23.3 | 0.42 |
| Fishing | 724 | 21.4 | 0.42 |
| Forest products | 430 | 12.7 | 0.33 |
|
| |||
| Micro-climate regulation | 1071 | 31.7 | 0.46 |
| Air purification | 1522 | 45.0 | 0.49 |
| Water regulation | 1297 | 38.4 | 0.48 |
| Soil formation | 938 | 27.8 | 0.45 |
|
| |||
| Nature tourism | 1392 | 41.2 | 0.49 |
| Aesthetic values | 605 | 17.9 | 0.38 |
| Environmental education | 906 | 26.8 | 0.44 |
| Local ecological knowledge | 913 | 27.0 | 0.44 |
| Recreational hunting | 358 | 10.6 | 0.30 |
| Existence value | 1420 | 42.0 | 0.49 |
S.D. refers to standard deviation.
Factors influencing people’s awareness of different ecosystem service categories.
| Factors | Mean relative value (S.D.) | |||
|
|
|
| ||
|
| ||||
| PAs | Visitor | 0.184 (0.20) | 0.356 (0.27) | 0.214 (0.18) |
| Non-visitor | 0.208 (0.21) | 0.318 (0.27) | 0.261 (0.18) | |
|
| 1 245 269.0*** | 1 294 822.0*** | 1 358 297.0*** | |
| Organization | Membership | 0.197 (0.19) | 0.281 (0.26) | 0.211 (0.18) |
| Non-membership | 0.177 (0.19) | 0.344 (0.27) | 0.221 (0.18) | |
|
| 590 526.0* | 647 158.5*** | 528 289.5 | |
|
| ||||
| Place of residence | Rural | 0.240 (0.22) | 0.300 (0.27) | 0.299 (0.18) |
| Urban | 0.183 (0.21) | 0.428 (0.27) | 0.300 (0.18) | |
|
| 1 623 990.5*** | 996 411.0*** | 1 375 845.0 | |
| Level of education | None | 0.293c (0.24) | 0.370 (0.27) | 0.228a (0.18) |
| Primary | 0.240b,c (0.22) | 0.350 (0.27) | 0.253b (0.18) | |
| Secondary | 0.215a,b(0.21) | 0.365 (0.28) | 0.254b (0.18) | |
| University | 0.194a (0.21) | 0.351 (0.27) | 0.250b (0.19) | |
|
| 40.53*** | 3.21 | 19.77*** | |
| Age | >30 years | 0.221 (0.21) | 0.347 (0.28) | 0.242 (0.18) |
| <30 years | 0.203 (0.21) | 0.377 (0.28) | 0.244 (0.18) | |
|
| 1 265 767.5*** | 1 137 165.0*** | 1 094 182.0 | |
| >70 years | 0.273 (0.24) | 0.317 (0.24) | 0.250 (0.18) | |
| <70 years | 0.213 (0.22) | 0.358 (0.28) | 0.242 (0.18) | |
|
| 203 202.0** | 249 135.5 | 224 874.5 | |
| Gender | Male | 0.217 (0.22) | 0.348 (0.28) | 0.241 (0.185) |
| Female | 0.210 (0.22) | 0.368 (0.27) | 0.245 (0.185) | |
|
| 1 390 008.5*** | 1 318 087.0*** | 1 363 616.0 | |
|
| ||||
| National Park | 0.196a (0.19) | 0.333b (0.26) | 0.198a (0.17) | |
| Natural Park | 0.230a (0.24) | 0.430c (0.31) | 0.277c (0.17) | |
| Non-protected | 0.223a (0.21) | 0.320a (0.25) | 0.254b (0.19) | |
|
| 6.34* | 74.97*** | 150.85*** | |
S.D. = standard deviation.
PAs = If respondent visited protected areas during the previous year.
Asterisks indicate significant differences after the Kruskal-Wallis and the Mann-Whitney-U tests (* p<0.05, ** p<0.01, *** p<0.001).
Values marked with the same letter are not significantly different (Dunn’s test, p<0.05).
Results of the redundancy analysis.
| Axes 1 | Axes 2 | Axes 3 | Axes 4 | |
| Eigenvalue | 0.167 | 0.065 | 0.034 | 0.014 |
| Percentage variance explained | 55.125 | 21.572 | 11.077 | 4.561 |
| Cumulative % variance explained | 55.125 | 76.697 | 87.775 | 92.335 |
| Total inertia | 6.760 | 2.645 | 1.358 | 0.559 |
Figure 3Redundancy analysis biplot.
The biplot shows the relationships between stakeholders’ perceptions towards particular ecosystem services and variables related to stakeholders’ characteristics and land management strategies. Grey variables in bold represent explaining variables with higher standardized canonical coefficients for Axes 1 and 2. Detail legend: circles = ecosystem services; squares = land management strategy (i.e., National Park, Natural Park, or non-protected land); triangles = environmental behavior and socio-economic characteristics of stakeholders; diamonds = ecosystems. (PAs = If respondent visited protected areas during the previous year, LEK = local ecological knowledge and sense of place services).
Figure 4Dendogram of the hierarchical cluster analysis.
The dendogram shows ecosystem service bundles resulting from diverging social preferences. Ecosystem service bundles are shown in different colors to improve visualization.