Document Type

Open Access Thesis

Embargo Period

8-22-2018

Degree Program

Environmental Conservation

Degree Type

Master of Science (M.S.)

Year Degree Awarded

2018

Month Degree Awarded

September

Abstract

The red-backed salamander (RBS; Plethodon cinereus) has a large geographic range and,

though it is common throughout, abundance varies spatially. It has been studied extensively for at

least a century and as a result; its distribution, habitat use, behavioral ecology, reproductive

ecology, and ecological role are well understood in comparison to other cryptic wildlife. Multiple

sampling methods have been developed to monitor RBS, and I discuss in detail one common

method – artificial cover objects (ACOs). Spatial capture-recapture (SCR) is uniquely suited to

estimate population parameters, including true density, and is paired well with spatially

referenced sampling methods, such as ACOs, and animals capable of retaining unique marks,

such as RBS. In the introduction of this thesis, I review RBS, ACOs, and SCR independently in

detail, and go on to discuss their compatibility for monitoring terrestrial salamander populations.

Detailed, and often range-wide, monitoring of ecosystems is necessary to gather the

information needed to achieve broad multiple-scale conservation objectives. Indicator species are

recommended tools for filling in gaps of knowledge where these range-wide data do not exist.

The use of indicator species is precluded by the lack of evaluation of candidate indicators and

their relationship to indicated processes. In this thesis, I discuss in detail the practicality of

indicator species as wildlife management tools, and challenges in their application – primarily

their practicality when direct measurement of a variable of interest is possible. I advocate for

integrative indicator species applications that make use of relationships to latent variables, review

two conceptual models involving latent variables, and propose a modification to these models that

makes relationships between variables more explicit.

Inference of among-population variation to adaptive capacity, response to large-scale

threats, and the condition of ecosystems is limited in part by unstandardized methods. Ecological

relationships are made difficult to characterize by gaps in data - and this is especially true of links

between indicator species their and related ecosystem processes. Using a candidate indicator

species, I tested the congruence of population parameter estimates from study designs that varied.

In Wendell State Forest, MA, I manipulated spatial arrangements of artificial cover objects

(ACO) arrays and evaluated their use for monitoring terrestrial salamanders. ACOs mimic natural

habitat - and attraction of RBS to traps may induce behavioral bias in parameter estimates if not

accounted for. I sought to determine if variation in ACO design can be accommodated to make

comparable estimates. I found that analyzing data from ACOs using spatial capture-recapture

(SCR) modeling produces consistent within-population density estimates regardless of ACO

configuration.

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