Abstract

We compared the distribution and occurrence of 15 carnivore species with data collected monthly over three years by trained native trackers using both sign surveys and an encounter-based, visual-distance method in a well-preserved region of southern Guyana (Amazon / Guiana Shield). We found that a rigorously applied sign-based method was sufficient to describe the status of most carnivore species populations, including rare species such as jaguar and bush dog. We also found that even when accumulation curves for direct visual encounter data reached an asymptote, customarily an indication that sufficient sampling has occurred to describe populations, animal occurrence and distribution were grossly underestimated relative to the results of sign data. While other researchers have also found that sign are better than encounters or camera traps for large felids, our results are important in documenting the failure of even intensive levels of effort to raise encounter rates sufficiently to enable statistical analysis, and in describing the relationship between encounter and sign data for an entire community of carnivores including felids, canids, procyonids, and mustelids.

Highlights

  • Carnivores have a special place in the human imagination [1] and are of great ecological interest due to their functional role as drivers of top-down trophic cascades and regulators of ecosystem processes [2,3,4]

  • The availability of reliable, accurate and cost-effective methods for monitoring vertebrate populations remains a critical need in wildlife biology

  • Line transect surveys under-detect carnivore species detection methods are unreliable for occurrence and distribution estimation, at least for terrestrial or mostly terrestrial species and some scansorial and arboreal species

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Summary

Introduction

Carnivores have a special place in the human imagination [1] and are of great ecological interest due to their functional role as drivers of top-down trophic cascades and regulators of ecosystem processes [2,3,4]. Multiple methods have been developed to analyze and model field-based data and establish the conservation status of the species, including occupancy and detectability methods [8,9] and species distribution models [10,11,12]). The results of these analyses, depend strongly on the original quality of the field data. Ignoring imperfect detection of animals in the field can bias estimates of occupancy and related parameters, which results in misleading inferences about the system [13,14,15,16] and inappropriate management decisions

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