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Animal-encounter data under-detects hunted species in Amazon ecosystems

Poor assessments of animal abundance could hurt local communities

Date:
April 14, 2016
Source:
Virginia Tech
Summary:
Evidence of wildlife passage, such as tracks, scat, fur, and disturbed surroundings, is a more accurate tool for assessing wildlife conservation status than actual encounters with animals, according to an international team of scientists from six universities.
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A white-lipped peccary in the Amazon rainforest near the study area. This is one of the most hunted species in the study.
Credit: Jose MV Fragoso/Stanford University

Evidence of wildlife passage, such as tracks, scat, fur, and disturbed surroundings, is a more accurate tool for assessing wildlife conservation status than actual encounters with animals, according to an international team of scientists from six universities, including Virginia Tech, publishing in PLOS ONE.

"Being too conservative, such as prohibiting hunting of a game species because there are few sightings, can be unnecessarily hard on communities that depend upon game for livelihoods and food security," said Kirsten Silvius, a senior research associate in the College of Natural Resources and Environment at Virginia Tech, and a member of the team that spent three years in the Amazon comparing sign-based and encounter-based methods to estimate hunted wildlife populations.

A member of the Department of Forest Resources and Environmental Conservation, Silvius' expertise is in strategic planning for protected area-based sustainable economic activities.

As a member of the research team lead by Stanford University senior scientist Jose M.V. Fragoso, Silvius' interest was to enable wildlife and resource management by indigenous peoples and participatory resource monitoring and management.

From May 2007 to June 2010, the team surveyed 27 sites in an area of southern Guyana roughly the size of Costa Rica that encompasses forests and savannahs across a range of elevations.

Both animal sign (tracks, feces, hair, carcasses or body parts, digging, burrows, eaten fruit or seeds, and browsed plants) and direct encounter data were collected monthly along transects.

Several hundred hunted and un-hunted species were detected using both methods, but the researchers focused their analysis on the most frequently hunted species. Of 32 species analyzed, 31 were detected by both methods, but the most important game animals, such as tapirs and the hog-like peccary, were significantly under-detected by the encounter method, likely as a result of behavior changes in response to being hunted. Sign based methods proved more reliable.

"These animals are important to food security and still hunted successfully," said Silvius. "Because the encounter-based method is considered the gold-standard for density estimations, the absence of sightings of tapirs near two villages would have resulted in a conclusion of tapir extinction; and yet, sign evidence was plentiful and kill rates were no different from those at villages where tapirs were visible."

Sustainable logging in a multiple-use protected area could have also been curtailed based on the low visual encounters of tapirs, resulting in unnecessary restrictions on sustainable forestry activities.

Surveys based on sign are an efficient tool because data can be continually collected and provide information on changes of numbers and location over time and in response to management strategies, the researchers report in the journal.

Silvius emphasizes that sign data can be locally collected and interpreted as the basis for rapid, community-based decision making and management. "Local trackers, whether they be from indigenous groups or other traditional populations, are effective environmental monitors."


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Materials provided by Virginia Tech. Note: Content may be edited for style and length.


Journal Reference:

  1. José M. V. Fragoso, Taal Levi, Luiz F. B. Oliveira, Jeffrey B. Luzar, Han Overman, Jane M. Read, Kirsten M. Silvius. Line Transect Surveys Underdetect Terrestrial Mammals: Implications for the Sustainability of Subsistence Hunting. PLOS ONE, 2016; 11 (4): e0152659 DOI: 10.1371/journal.pone.0152659

Cite This Page:

Virginia Tech. "Animal-encounter data under-detects hunted species in Amazon ecosystems: Poor assessments of animal abundance could hurt local communities." ScienceDaily. ScienceDaily, 14 April 2016. <www.sciencedaily.com/releases/2016/04/160414095543.htm>.
Virginia Tech. (2016, April 14). Animal-encounter data under-detects hunted species in Amazon ecosystems: Poor assessments of animal abundance could hurt local communities. ScienceDaily. Retrieved May 23, 2017 from www.sciencedaily.com/releases/2016/04/160414095543.htm
Virginia Tech. "Animal-encounter data under-detects hunted species in Amazon ecosystems: Poor assessments of animal abundance could hurt local communities." ScienceDaily. www.sciencedaily.com/releases/2016/04/160414095543.htm (accessed May 23, 2017).

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