Acoustic recording complements camera traps for monitoring sensitive penguin populations

Author:

Francomano Dante12ORCID,Raya Rey Andrea N.345,Gottesman Benjamin L.126,Pijanowski Bryan C.12

Affiliation:

1. Center for Global Soundscapes Purdue University 195 Marsteller Street West Lafayette Indiana 47907 USA

2. Department of Forestry and Natural Resources Purdue University 195 Marsteller Street West Lafayette Indiana 47907 USA

3. Centro Austral de Investigaciones Científicas (CADIC) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Houssay 200 Ushuaia CP 9410 Tierra del Fuego Argentina

4. Instituto de Ciencias Polares, Ambiente y Recursos Naturales (ICPA) Universidad Nacional de Tierra del Fuego (UNTDF) Fuegia Basket 250 Ushuaia CP 9410 Tierra del Fuego Argentina

5. Wildlife Conservation Society Representación Argentina Amenabar 1595, piso 2 of. 9 CABA Argentina

6. K. Lisa Yang Center for Conservation Bioacoustics, The Cornell Lab of Ornithology Cornell University 159 Sapsucker Woods Rd. Ithaca New York 14850 USA

Abstract

In the face of global biodiversity loss that threatens social–ecological sustainability, we must improve our knowledge of species' behaviours, life histories and populations. Enhanced understanding is especially critical for taxa like seabirds that live in remote habitats where monitoring is logistically challenging, and technology‐based approaches could lead to major advances. Considering conservation threats and breeding behaviours, penguins represent a promising taxon for further exploration of monitoring methods. Only five of 18 penguin species are currently considered species of Least Concern by the IUCN, and the sensitivity of penguins to ecological disturbances makes them important indicators of ecosystem dynamics. Penguins regularly congregate in dense breeding colonies and are visually and aurally conspicuous animals, making them relatively easy to monitor in some respects. In situ observations and visual remote sensing monitoring methods (i.e. camera traps, uncrewed aerial vehicles and satellite imagery) currently provide highly valuable information on penguin behaviour and population dynamics, but these methods have a number of shortcomings. Several rely on human presence in remote areas, some require clean lines of sight with no visual obstructions, and some offer limited spatial and temporal resolution. In this study we explore the use of passive acoustic monitoring (PAM) as a complementary remote sensing method to monitor penguin behaviour and populations at high spatial and temporal resolution without visual constraints or the need for continuous human presence. We conducted observations of vocalization rates and placed automated acoustic recorders in colonies of Magellanic Penguins Spheniscus magellanicus and Southern Rockhopper Penguins Eudyptes chrysocome in conjunction with camera traps. We found positive relationships between acoustic activity and counts of Magellanic Penguins in camera trap photos. We also identified clear diel patterns of acoustic activity that differed between breeding stages, and we found positive correlations between acoustic activity and estimates of colony density for various times of day and radii around recorders. While much work remains to improve this method and refine interpretation, PAM holds great promise as a complementary tool for monitoring the relative abundance and behavioural dynamics of penguins and other colonial animals, particularly those that burrow or nest in dense vegetation that impairs visual monitoring techniques.

Funder

SeaWorld and Busch Gardens Conservation Fund

Wildlife Conservation Society Argentina

Publisher

Wiley

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Reference54 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3