Identifying conflicts and opportunities for collaboration in the management of a wildlife resource: a mixed-methods approach
Zoë Austin A D , James C. R. Smart A , Steven Yearley B , R. Justin Irvine C and Piran C. L. White A EA Environment Department, University of York, Heslington, York, YO10 5DD, UK.
B ESRC Genomics Forum, University of Edinburgh, Edinburgh, EH8 8AQ, UK.
C Macaulay Land Use Research Institute, Craigiebuckler, Aberdeen, AB15 8QH, UK.
D Current address: Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK.
E Corresponding author. Email: pclw1@york.ac.uk
Wildlife Research 37(8) 647-657 https://doi.org/10.1071/WR10057
Submitted: 25 March 2010 Accepted: 29 July 2010 Published: 22 December 2010
Abstract
Context: The sustainable management of many common-pool ecological resources can be strengthened through collaboration among stakeholder groups. However, the benefits of collaborative management are often not realised because of conflicts of interest among stakeholders. Effective strategies for enhancing collaborative management require an understanding of the trade-offs that managers make between different management outcomes and an understanding of the socioeconomic and location-specific differences that drive these preferences. Approaches based on quantitative or qualitative methods alone often fail to reveal some of the underlying factors inhibiting collaboration.
Aims: Our aim was to understand the relative importance that private-sector deer managers attach to changes in the following three outcomes of deer management: deer numbers, deer-related road-traffic accidents (RTAs) and deer impacts on conservation woodlands.
Methods: We used a mixed-methods approach, combining choice-experiment methodology with qualitative analysis of focus-group discussions from 10 study regions throughout Britain.
Key results: Our results showed that most of the private-sector stakeholders responsible for deer-management decisions at the local level would prefer to see a future with fewer deer-related RTAs but do not want to see a future with lower deer population levels. This is especially the case for those stakeholders managing for sporting purposes and those that rely on deer as a financial resource.
Conclusions: The preferences of many private-sector stakeholders responsible for deer management are at odds with those of private landowners currently experiencing economic and conservation damage from deer, and with the aims of government and non-government bodies seeking to reduce grazing and browsing damage through lower deer densities. Similar barriers to collaborative management are likely to exist in any situations where ecological resources deliver an unequal distribution of benefits and costs among stakeholders.
Implications: Overcoming barriers to collaboration requires enhanced understanding of how different collaborative mechanisms are viewed amongst the stakeholder community and how collaborative management can be promoted. More holistic approaches to deer management, which include greater public awareness, additional road-traffic speed restrictions and appropriate fencing, or perhaps include deer-population reduction as only one of a suite of mechanisms for delivering multiple benefits from the land, are likely to gain more support from private-sector stakeholders. Mixed-methods approaches can provide an important first step in terms of both quantifying preferences in relation to the management of ecological resources and enabling detailed insights into the motivations and behaviours underlying them.
Additional keywords: choice experiment, conditional logit models, deer, environmental decision-making, latent-class analysis, stakeholder participation.
References
Austin, Z., Cinderby, S., Smart, J. C. R., Raffaelli, D., and White, P. C. L. (2009). Mapping wildlife: integrating stakeholder knowledge with modelled patterns of deer abundance by using participatory GIS. Wildlife Research 36, 553–564.| Mapping wildlife: integrating stakeholder knowledge with modelled patterns of deer abundance by using participatory GIS.Crossref | GoogleScholarGoogle Scholar |
Birol, E., Karousakis, K., and Koundouri, P. (2006). Using a choice experiment to account for preference heterogeneity in wetland attributes: the case of Cheimaditida wetland in Greece. Ecological Economics 60, 145–156.
| Using a choice experiment to account for preference heterogeneity in wetland attributes: the case of Cheimaditida wetland in Greece.Crossref | GoogleScholarGoogle Scholar |
Bodin, O., and Crona, B. I. (2009). The role of social networks in natural resource governance: what relational patterns make a difference? Global Environmental Change – Human and Policy Dimensions 19, 366–374.
Boxall, P. C., and Adamowicz, W. L. (2002). Understanding heterogeneous preferences in random utility models: a latent class approach. Environmental and Resource Economics 23, 421–446.
| Understanding heterogeneous preferences in random utility models: a latent class approach.Crossref | GoogleScholarGoogle Scholar |
Breffle, W. S., and Rowe, R. D. (2002). Comparing choice question formats for evaluating natural resource tradeoffs. Land Economics 78, 298–314.
| Comparing choice question formats for evaluating natural resource tradeoffs.Crossref | GoogleScholarGoogle Scholar |
Bucklin, R. E., and Gupta, S. (1992). Brand choice, purchase incidence, and segmentation – an integrated modeling approach. Journal of Marketing Research 29, 201–215.
| Brand choice, purchase incidence, and segmentation – an integrated modeling approach.Crossref | GoogleScholarGoogle Scholar |
Christie, M., Hanley, N., Warren, J., Murphy, K., Wright, R., and Hyde, T. (2006). Valuing the diversity of biodiversity. Ecological Economics 58, 304–317.
| Valuing the diversity of biodiversity.Crossref | GoogleScholarGoogle Scholar |
Church, A., and Ravenscroft, N. (2008). Landowner responses to financial incentive schemes for recreational access to woodlands in South East England. Land Use Policy 25, 1–16.
| Landowner responses to financial incentive schemes for recreational access to woodlands in South East England.Crossref | GoogleScholarGoogle Scholar |
English Nature (2003). ‘English Nature Research Report 548. Proceedings of the Future for Deer Conference.’ (English Nature: Peterborough, UK.)
Environment Agency (2009). ‘Environmental snapshot of the state of the environment – East of England.’ Available at http://publications.environment-agency.gov.uk/pdf/GEAN0309BPTJ-e-e.pdf [accessed July 2010].
Forestry Commission England (2009). ‘English Woodland Grant Scheme. EWGS Summary.’ Available at www.forestry.gov.uk/ewgs [accessed July 2010].
Gordon, I. J., Hester, A. J., and Festa-Bianchet, M. (2004). The management of wild large herbivores to meet economic, conservation and environmental objectives. Journal of Applied Ecology 41, 1021–1031.
| The management of wild large herbivores to meet economic, conservation and environmental objectives.Crossref | GoogleScholarGoogle Scholar |
Hearne, R. R., and Salinas, Z. M. (2002). The use of choice experiments in the analysis of tourist preferences for ecotourism development in Costa Rica. Journal of Environmental Management 65, 153–163.
| The use of choice experiments in the analysis of tourist preferences for ecotourism development in Costa Rica.Crossref | GoogleScholarGoogle Scholar | 12197077PubMed |
Henriksen, H. J., and Barlebo, H. C. (2008). Reflections on the use of Bayesian belief networks for adaptive management. Journal of Environmental Management 88, 1025–1036.
| Reflections on the use of Bayesian belief networks for adaptive management.Crossref | GoogleScholarGoogle Scholar | 17601649PubMed |
Hensher, D. A., Rose, J. M., and Greene, W. H. (2007). ‘Applied Choice Analysis.’ (Cambridge University Press: Cambridge, UK.)
Horne, P., Boxall, P. C., and Adamowicz, W. L. (2005). Multiple-use management of forest recreation sites: a spatially explicit choice experiment. Forest Ecology and Management 207, 189–199.
| Multiple-use management of forest recreation sites: a spatially explicit choice experiment.Crossref | GoogleScholarGoogle Scholar |
Irvine, R. J., Fiorini, S., Yearley, S., McLeod, J. E., Turner, A., Armstrong, H., White, P. C. L., and van der Wal, R. (2009). Can managers inform models? Integrating local knowledge into models of red deer habitat use. Journal of Applied Ecology 46, 344–352.
| Can managers inform models? Integrating local knowledge into models of red deer habitat use.Crossref | GoogleScholarGoogle Scholar |
Jankowski, P. (2009). Towards participatory geographic information systems for community-based environmental decision making. Journal of Environmental Management 90, 1966–1971.
| Towards participatory geographic information systems for community-based environmental decision making.Crossref | GoogleScholarGoogle Scholar | 18550264PubMed |
Keough, H. L., and Blahna, D. J. (2006). Achieving integrative, collaborative ecosystem management. Conservation Biology 20, 1373–1382.
| Achieving integrative, collaborative ecosystem management.Crossref | GoogleScholarGoogle Scholar | 17002755PubMed |
Louviere, J. J., and Woodworth, G. (1983). Design and analysis of simulated consumer choice or allocation experiments – an approach based on aggregate data. Journal of Marketing Research 20, 350–367.
| Design and analysis of simulated consumer choice or allocation experiments – an approach based on aggregate data.Crossref | GoogleScholarGoogle Scholar |
Louviere, J. J., Hensher, D. A., and Swait, J. D. (2000). ‘Stated Choice Methods.’ (Cambridge University Press: Cambridge, UK.)
Lynam, T., de Jong, W., Sheil, D., Kusumanto, T., and Evans, K. (2007). A review of tools for incorporating community knowledge, preferences, and values into decision making in natural resources management. Ecology and Society 12, .
MacMillan, D. C., and Leitch, K. (2008). Conservation with a gun: understanding landowner attitudes to deer hunting in the Scottish Highlands. Human Ecology 36, 473–484.
| Conservation with a gun: understanding landowner attitudes to deer hunting in the Scottish Highlands.Crossref | GoogleScholarGoogle Scholar |
MacMillan, D. C., and Phillip, S. (2008). Consumptive and non-consumptive values of wild mammals in Britain. Mammal Review 38, 189–204.
| Consumptive and non-consumptive values of wild mammals in Britain.Crossref | GoogleScholarGoogle Scholar |
Malo, J. E., Suarez, F., and Diez, A. (2004). Can we mitigate animal–vehicle accidents using predictive models? Journal of Applied Ecology 41, 701–710.
| Can we mitigate animal–vehicle accidents using predictive models?Crossref | GoogleScholarGoogle Scholar |
Martin, A., and Sherington, J. (1997). Participatory research methods – Implementation, effectiveness and institutional context. Agricultural Systems 55, 195–216.
| Participatory research methods – Implementation, effectiveness and institutional context.Crossref | GoogleScholarGoogle Scholar |
Mayle, B. (1999). Managing deer in the countryside. Forestry Commission Practice Note 6, Forestry Commission, Edinburgh.
McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In ‘Frontiers in Econometrics’. (Ed. P. Zarembka.) pp. 105–142. (Academic Press: New York.)
Othman, J., Bennett, J., and Blamey, R. (2004). Environmental values and resource management options: a choice modelling experience in Malaysia. Environment and Development Economics 9, 803–824.
| Environmental values and resource management options: a choice modelling experience in Malaysia.Crossref | GoogleScholarGoogle Scholar |
Parkes, C., and Thornley, J. (2000). ‘Deer: Law and Liabilities.’ (Swan Hill Press: Shrewsbury, UK.)
Powe, N. A., Garrod, G. D., and McMahon, P. L. (2005). Mixing methods within stated preference environmental valuation: choice experiments and post-questionnaire qualitative analysis. Ecological Economics 52, 513–526.
| Mixing methods within stated preference environmental valuation: choice experiments and post-questionnaire qualitative analysis.Crossref | GoogleScholarGoogle Scholar |
Putman, R. J. (1997). Deer and road traffic accidents: options for management. Journal of Environmental Management 51, 43–57.
| Deer and road traffic accidents: options for management.Crossref | GoogleScholarGoogle Scholar |
Putman, R. J., and Moore, N. P. (1998). Impact of deer in lowland Britain on agriculture, forestry and conservation habitats. Mammal Review 28, 141–164.
| Impact of deer in lowland Britain on agriculture, forestry and conservation habitats.Crossref | GoogleScholarGoogle Scholar |
Raadgever, G. T., Mostert, E., and van de Giesen, N. C. (2008). Identification of stakeholder perspectives on future flood management in the Rhine basin using Q methodology. Hydrology and Earth System Sciences 12, 1097–1109.
| Identification of stakeholder perspectives on future flood management in the Rhine basin using Q methodology.Crossref | GoogleScholarGoogle Scholar |
Reed, M. S. (2008). Stakeholder participation for environmental management: a literature review. Biological Conservation 141, 2417–2431.
| Stakeholder participation for environmental management: a literature review.Crossref | GoogleScholarGoogle Scholar |
Ruto, E., and Garrod, G. (2009). Investigating farmers’ preferences for the design of agri-environment schemes: a choice experiment approach. Journal of Environmental Planning and Management 52, 631–647.
| Investigating farmers’ preferences for the design of agri-environment schemes: a choice experiment approach.Crossref | GoogleScholarGoogle Scholar |
Smart, J. C. R., White, P. C. L., and Termansen, M. (2008). Modelling conflicting objectives in the management of a mobile ecological resource: red deer in the Scottish Highlands. Ecological Economics 64, 881–892.
| Modelling conflicting objectives in the management of a mobile ecological resource: red deer in the Scottish Highlands.Crossref | GoogleScholarGoogle Scholar |
Smyth, R. L., Watzin, M. C., and Manning, R. E. (2009). Investigating public preferences for managing Lake Champlain using a choice experiment. Journal of Environmental Management 90, 615–623.
| Investigating public preferences for managing Lake Champlain using a choice experiment.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhtVKitL4%3D&md5=3b5576550c74755a6b3cbadf5e790290CAS | 18262328PubMed |
Street, D. J., and Burgess, L. (2007). ‘The Construction of Optimal Stated Choice Experiments.’ (John Wiley & Sons: Hoboken, NJ.)
Ward, A. I. (2005). Expanding ranges of wild and feral deer in Great Britain. Mammal Review 35, 165–173.
| Expanding ranges of wild and feral deer in Great Britain.Crossref | GoogleScholarGoogle Scholar |
Ward, A. I., White, P. C. L., Smith, A., and Critchley, C. H. (2004). Modelling the cost of roe deer browsing damage to forestry. Forest Ecology and Management 191, 301–310.
| Modelling the cost of roe deer browsing damage to forestry.Crossref | GoogleScholarGoogle Scholar |
White, P. C. L., Smart, J. C. R., Bohm, M., Langbein, J., and Ward, A. I. (2004). Economic impacts of wild deer in the east of England. Joint Consultation by Defra and the Forestry Commission. Available at http://www.woodlandforlife.net/wfl-woodbank/DisplayArticle_2333.html [accessed July 2010].
Wilson, C. J. (2003a). ‘Estimating the Cost of Road Traffic Accidents Caused by Deer in England.’ (Defra Rural Development Service National Wildlife Management Team: London.)
Wilson, C. J. (2003b). ‘A Preliminary Estimate of the Cost of Damage Caused by Deer to Agriculture in England.’ (Defra Rural Development Service National Wildlife Management Team: London.)
Wilson, C. J. (2003c). Current and future deer management options. Report on behalf of Defra European Wildlife Division. Defra, Exeter, UK.
Xu, W. H., Lippke, B. R., and Perez-Garcia, J. (2003). Valuing biodiversity, aesthetics, and job losses associated with ecosystem management using stated preferences. Forest Science 49, 247–257.
Yearley, S., Cinderby, S., Forrester, J., Bailey, P., and Rosen, P. (2003). Participatory modelling and the local governance of the politics of UK air pollution: a three-city case study. Environmental Values 12, 247–262.
| Participatory modelling and the local governance of the politics of UK air pollution: a three-city case study.Crossref | GoogleScholarGoogle Scholar |
