Mapping wildlife: integrating stakeholder knowledge with modelled patterns of deer abundance by using participatory GIS

TY - JOUR

T1 - Mapping wildlife: integrating stakeholder knowledge with modelled patterns of deer abundance by using participatory GIS

AU - Austin, Z.

AU - Cinderby, S.

AU - Smart, J.C.R.

AU - Raffaelli, D.

AU - White, P.C.L.

N1 - Copyright 2010 Elsevier B.V., All rights reserved.

PY - 2009/1/1

Y1 - 2009/1/1

N2 - Context. Some species that are perceived by certain stakeholders as a valuable resource can also cause ecological or economic damage, leading to contrasting management objectives and subsequent conflict between stakeholder groups. There is increasing recognition that the integration of stakeholder knowledge with formal scientific data can enhance the information available for use in management. This is especially true where scientific understanding is incomplete, as is frequently the case for wide-ranging species, which can be difficult to monitor directly at the landscape scale.Aims. The aim of the research was to incorporate stakeholder knowledge with data derived from formal quantitative models to modify predictions of wildlife distribution and abundance, using wild deer in the UK as an example.Methods. We use selected predictor variables from a deer-vehicle collision model to estimate deer densities at the 10-km square level throughout the East of England. With these predictions as a baseline, we illustrate the use of participatory GIS as a methodological framework for enabling stakeholder participation in the refinement of landscape-scale deer abundance maps.Key results. Stakeholder participation resulted in modi. cations to modelled abundance patterns for all wild deer species present in the East of England, although the modi. cations were minor and there was a high degree of consistency among stakeholders in the adjustments made. For muntjac, roe and fallow deer, the majority of stakeholder changes represented an increase in density, suggesting that populations of these species are increasing in the region.Conclusions. Our results show that participatory GIS is a useful technique for enabling stakeholders to contribute to incomplete scientific knowledge, especially where up-to-date species distribution and abundance data are needed to inform wildlife research and management.Implications. The results of the present study will serve as a valuable information base for future research on deer management in the region. The flexibility of the approach makes it applicable to a range of species at different spatial scales and other wildlife conflict issues. These may include the management of invasive species or the conservation of threatened species, where accurate spatial data and enhanced community involvement are necessary in order to facilitate effective management.

AB - Context. Some species that are perceived by certain stakeholders as a valuable resource can also cause ecological or economic damage, leading to contrasting management objectives and subsequent conflict between stakeholder groups. There is increasing recognition that the integration of stakeholder knowledge with formal scientific data can enhance the information available for use in management. This is especially true where scientific understanding is incomplete, as is frequently the case for wide-ranging species, which can be difficult to monitor directly at the landscape scale.Aims. The aim of the research was to incorporate stakeholder knowledge with data derived from formal quantitative models to modify predictions of wildlife distribution and abundance, using wild deer in the UK as an example.Methods. We use selected predictor variables from a deer-vehicle collision model to estimate deer densities at the 10-km square level throughout the East of England. With these predictions as a baseline, we illustrate the use of participatory GIS as a methodological framework for enabling stakeholder participation in the refinement of landscape-scale deer abundance maps.Key results. Stakeholder participation resulted in modi. cations to modelled abundance patterns for all wild deer species present in the East of England, although the modi. cations were minor and there was a high degree of consistency among stakeholders in the adjustments made. For muntjac, roe and fallow deer, the majority of stakeholder changes represented an increase in density, suggesting that populations of these species are increasing in the region.Conclusions. Our results show that participatory GIS is a useful technique for enabling stakeholders to contribute to incomplete scientific knowledge, especially where up-to-date species distribution and abundance data are needed to inform wildlife research and management.Implications. The results of the present study will serve as a valuable information base for future research on deer management in the region. The flexibility of the approach makes it applicable to a range of species at different spatial scales and other wildlife conflict issues. These may include the management of invasive species or the conservation of threatened species, where accurate spatial data and enhanced community involvement are necessary in order to facilitate effective management.

KW - deer-vehicle collisions

KW - geographic information systems

KW - management conflict resolution

KW - predictive spatial model

KW - stakeholder participation

KW - VEHICLE COLLISIONS

KW - INCREASING NUMBERS

KW - VULPES-VULPES

KW - ENVIRONMENTAL-MANAGEMENT

KW - ECOLOGICAL IMPACTS

KW - FOREST ECOSYSTEMS

KW - EXPERT KNOWLEDGE

KW - BIRD POPULATIONS

KW - LARGE HERBIVORES

KW - WOODLAND DEER

UR - http://www.scopus.com/inward/record.url?scp=71049189243&partnerID=8YFLogxK

U2 - 10.1071/WR08153

DO - 10.1071/WR08153

M3 - Article

SN - 1035-3712

VL - 36

SP - 553

EP - 564

JO - Wildlife research

JF - Wildlife research

IS - 7

ER -