Abstract

We estimated detection probabilities of bird carcasses along sandy beaches and in marsh edge habitats in the northern Gulf of Mexico to help inform models of bird mortality associated with the Deepwater Horizon oil spill. We also explored factors that may influence detection probability, such as carcass size, amount of scavenging, location on the beach, habitat type, and distance into the marsh. Detection probability for medium-sized carcasses (200–500 g) ranged from 0.82 (SE = 0.09) to 0.93 (SE = 0.04) along sandy beaches. Within sandy beaches, we found that intact/slightly scavenged carcasses were easier to detect than heavily scavenged ones and did not find strong effects of location on the beach on detection probability. We estimated detection rate for each combination of scavenging state, carcass size, and position along sandy beaches. In marsh edge habitats, detection ranged from 0.04 (SE = 0.04) to 0.86 (SE = 0.10), with detection rates rapidly increasing from small (< 200 g) to medium carcass sizes and leveling off between medium and extra-large (> 1000 g) carcasses regardless of vegetation type (Spartina or Phragmites). Carcasses of all sizes were generally harder to locate in Spartina-dominated marshes than in Phragmites-dominated ones. A subset of the data for which we could adequately assess the effect of distance into the marsh indicated that detection rates generally declined the farther a carcass was into marsh vegetation. Based on power analyses, our ability to identify predictors that influence detection rates would be higher with larger numbers of carcasses, greater numbers of search trials per carcass, or more balanced sampling distributions across predictor values.

Highlights

  • The number of bird carcasses deposited along beaches is used as an index to quantify mortality from oil spills (Ford 2006; Ford et al 1996, 2001, 2009)

  • Mathematical models are commonly used during natural resource damage assessment (NRDA) to adjust the number of carcasses collected along shorelines for the efficiency of searchers in finding carcasses that are available for detection and the rate that scavengers and other activities remove carcasses from shorelines before searchers can find them

  • During the peerreview of this manuscript, a reviewer suggested using unmanned aircraft systems (UAS, a.k.a., drones) to deposit carcasses, which would eliminate a potential bias associated with footprints from researchers. We found this an interesting suggestion, it may not be feasible for several reasons, such as weight-carrying limitations of the available UAS with respect to larger bird carcasses, complications with temporary airspace closures typically implemented by the Federal Aviation Administration during oil spills, potential damage to UAS from entraining beach sand into motors and other moving parts if flown too close to the ground, potential of UAS prop wash to cause a “UAS footprint” on the shoreline, and increased cost of study implementation

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Summary

Introduction

The number of bird carcasses deposited along beaches is used as an index to quantify mortality from oil spills (Ford 2006; Ford et al 1996, 2001, 2009). Biologists commonly implement beached bird surveys following oil spills to count the number of, and collect, carcasses found along beaches in the vicinity of oil spills. Mathematical models are commonly used during natural resource damage assessment (NRDA) to adjust the number of carcasses collected along shorelines for the efficiency of searchers in finding carcasses that are available for detection (hereafter, “detection probability”) and the rate that scavengers and other activities remove carcasses from shorelines before searchers can find them (i.e., carcass persistence). An important input for the model was the detection rate of bird carcasses, assuming they were available to be seen, by search teams surveying shorelines

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