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Optimal Monitoring Strategy to Detect Rule-breaking

A Power and Simulation Approach Parameterised with Field Data from Gola Rainforest National Park, Sierra Leone

Bibliographic Data

ID14954059
AuthorsSorrel C Z Jones (0000-0002-3579-7254, Royal Society for the Protection of Birds, corresponding author), Sorrel Jones (RSPB, The Lodge, Sandy, Beds, UK), Malcolm D Burgess (0000-0003-1288-1231, RSPB Centre for Conservation Science, The Lodge, Sandy, Beds, UK), Frazer Sinclair (0000-0001-5017-3215, RSPB, The Lodge, Sandy, Beds, UK), Jeremy Lindsell (0000-0003-2088-8927, RSPB Centre for Conservation Science, The Lodge, Sandy, Beds, UK), Juliet Vickery (RSPB Centre for Conservation Science, The Lodge, Sandy, Beds, UK), Juliet A Vickery (0000-0001-9362-0142, Royal Society for the Protection of Birds)
Year2017
Volume15
Issue3
Pages334-343
Publication date2017-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueConservation and Society (JOURNAL)
Journal identifiersISSN: 0972-4923 • E-ISSN: 0975-3133
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.4103/cs.cs_16_51
OpenAlexW2805708173
LanguageEN
References cited53

Protected area designation aims to protect forests from illegal activities such as hunting. However, the effectiveness of protection and how this changes over time in response to protection measures is difficult to assess, including the design of monitoring programmes able to detect changes. We present new data on rule-breaking prevalence in Gola Rainforest National Park, Sierra Leone, and use these data in spatially explicit simulations to assess the survey effort and design required to detect change and assess the effect of rule-breaker behaviour to these designs. Despite being a protected area, rule-breaking (in the form of signs of hunting) occurred in almost 70% of 1 km survey squares but repeating this baseline survey of 53 survey squares would be insufficient to detect change. A much larger survey effort of 200-400 survey squares would be required to detect a 25% change in rule-breaking. Simulations highlight the extent to which rule-breaker behaviour, particularly hunter range size, influenced the likelihood of detecting change and importance of understanding this for survey design. A dedicated monitoring programme able to detect changes in the level of rule-breaking required an unrealistic level of resources, and we recommend combining monitoring with ranger patrol activities to reduce overall costs and employing questionnaire-based methods

Baseline (sea · Cartography · Economics · Environmental resource management · Field survey · Geography · National park · Political science · Rainforest · Sierra leone · Socioeconomics · Computer Science · Environmental Science · Forest Management and Policy · Species Distribution and Climate Change · Wildlife Ecology and Conservation · Ecology

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