Characteristics of Vegetation Used by Golden-cheeked
Warblers in Central Texas
Ashley M. Long, J. Cal Newnam, Melanie R. Colón, Kathryn N. Smith-Hicks,
and Michael L. Morrison
Southeastern Naturalist, Volume 15, Issue 1 (2016): 153–161
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22001166 SOUTHEASTERN NATURALIST 1V5o(1l.) :1155,3 N–1o6. 11
Characteristics of Vegetation Used by Golden-cheeked
Warblers in Central Texas
Ashley M. Long1,*, J. Cal Newnam2, Melanie R. Colón3, Kathryn N. Smith-Hicks3,
and Michael L. Morrison3
Abstract - Setophaga chrysoparia (Golden-cheeked Warbler; hereafter Warbler) breeds
in oak–juniper woodland across central Texas. Our knowledge of Warbler-habitat associations
remains limited to a small number of long-term study sites. However, ecological
conditions within Warbler habitat may vary by geographic location. We estimated vegetation
characteristics at 24 sites occupied by Warblers and at 80 Warbler nests and compared
site and nest vegetation across natural regions. We found differences in vegetation volume
at sites and nests across regions. We also found differences across regions in canopy
height at sites, but no differences in canopy height at nests. Tree species richness and diversity
and the proportion of Juniperus ashei (Ashe Juniper) used by Warblers at sites and
nests varied across regions. Our study identifies geographic variation in Warbler habitat
characteristics across the species’ breeding range.
Introduction
Setophaga chrysoparia (Golden-cheeked Warbler; hereafter Warbler) is a federally
endangered songbird that breeds exclusively in central Texas (Fig. 1; USFWS
1990). Warbler breeding habitat consists of mature oak–juniper woodland and
includes Juniperus ashei J. Buchholz (Ashe Juniper), a tree species that Warblers
require for nesting, oaks (e.g., Quercus fusiformis Small [Texas Live Oak],
Q. stellata Wangenh. [Post Oak], Q. buckleyi Nixon & Dorr [Texas Red Oak]), and
various other hardwoods (Kroll 1980, Ladd and Glass 1999, Pulich 1976). In 1990,
the US Fish and Wildlife Service cited habitat loss and degradation as the primary
threats to Warblers (USFWS 1990). Since the listing decision, researchers have
used remotely sensed data to identify general features of Warbler habitat across
the species’ breeding range (Collier et al. 2012, DeBoer and Diamond 2006), and
some have quantified associations between Warbler population metrics and vegetation
characteristics at specific locations. However, with few exceptions (Klassen
et al. 2012, Kroll 1980, Magness et al. 2006, Stewart et al. 2014), published fieldbased
information regarding vegetation structure and composition within Warbler
breeding habitat and at nest sites remains limited to study sites in and near Austin
in Travis and Hays counties (Reidy et al. 2009) and at the Fort Hood Military Reservation
in Coryell and Bell counties (Dearborn and Sanchez 2001, Marshall et al.
2013, Peak 2007, Peak and Thompson 2013, Sperry et al. 2009).
1Institute of Renewable Natural Resources, Texas A&M University, College Station, TX
77843. 2Texas Department of Transportation, PO Box 15426, Austin, TX 78761. 3Department
of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX
77843. *Corresponding author - ashley.long@ag.tamu.edu.
Manuscript Editor: Frank Moore
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Our goal was to supplement existing natural history information by describing
vegetation used by Warblers across regions with varying climate, soil type, landsurface
form, and plant assemblages. We estimated vegetation volume, canopy
height, proportion of vegetation composed of Ashe Juniper, tree species richness,
and tree species diversity on study sites occupied by Warblers and compared these
vegetation metrics across 5 natural regions where environmental conditions and
plant species structure and composition were relatively homogenous. We similarly
compared Warbler nest-vegetation characteristics across 3 natural regions. Our
study quantifies Warbler-habitat associations at sites located across the species’
breeding range, which may help inform region-specific conservation and management
strategies for this species.
Field Site Description
We conducted our research from 1995 to 1997 at 24 study sites within the Warbler’s
breeding range in central Texas (Fig. 1). We selected these study sites because
they encompassed known Warbler nesting habitat, were spatially separated across
the Warbler’s breeding range, and had land owners or park managers amenable to
Warbler research on their properties. For comparison purposes, we categorized
our study sites by 5 natural subregions (hereafter “regions”; LBJ School of Public
Affairs 1978). We used these regions because they represent spatial units where environmental
conditions (e.g., climate, landforms, soils) and the resulting vegetation
assemblages are relatively homogenous. From north to south these regions included:
(1) Western Cross Timbers, woodland dominated by Post Oaks, Quercus marilandica
Muenchh. (Blackjack Oak), and Carya spp. (hickories) interspersed with tall and
midgrass prairie; (2) Grand Prairie, historically tallgrass prairie with upland deciduous
forest, now heavily encroached by Ashe Juniper and Prosopis glandulosa Torr.
(Honey Mesquite); (3) Llano Uplift, woodland with Live Oak, Honey Mesquite, Post
Oak, Blackjack Oak, and Ulmus crassifolia Nutt. (Cedar Elm) with Ashe Juniper and
Texas Red Oak found on slopes; (4) Balcones Canyonlands, southeastern boundary
of the Edward’s Plateau with species-rich deciduous woodland and Texas Live
Oak–Ashe Juniper woodland on slopes; and (5) Live Oak–Mesquite Savanna, open
woodland dominated by Ashe Juniper, Texas Live Oak, Texas Red Oak, and Honey
Mesquite (Diamond 1997, Griffith et al. 2004, LBJ School of Public Affairs 1978,
Omernik and Griffith 2008).
Methods
From 1 March to 15 June, 2 observers simultaneously searched each study site
for Warblers and Warbler nests as part of a concurrent study relating Warbler behavior
to vegetation structure and composition (Newnam 2008). We visited each
study site at least once per week and conducted Warbler surveys from 06:30–15:30.
We used survey tape to mark the locations of our initial encounters with focal male
Warblers and to mark the locations of Warbler nests. At the end of the Warbler
breeding season, we returned to the marked locations and conducted vegetation
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surveys across each study site and at each nest site. Due to logistical constraints,
we did not continuously monitor the nests over the course of the breeding season;
thus, outcomes of the Warbler nests are unknown.
Figure 1. Setophaga chrysoparia (Golden-cheeked Warbler) breeding range and natural regions
surveyed during 1995–1997 to examine habitat associations for the species in central
Texas.
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We estimated total vegetation volume (TVV) across sites following Mills et al.
(1991). At each vegetation sampling point, we established a transect that consisted
of 2 perpendicular 20-m lines, marked by ropes on the ground, which intersected
on the mid-point. We used initial encounters as center points for transects to ensure
complete coverage of all areas used by Warblers across study sites. We randomly
determined the direction of transects from the marked location by spinning a screwdriver
on a clipboard. At 2-m increments along each transect (n = 20 sampling
points per transect), we erected a 6-m retractable pole (13 mm in diameter) and
counted the number of vegetation intercepts with the pole (i.e., “hits”) for each
decimeter column, noting the plant species for each hit. We summed and recorded
the number of total hits per species for each meter layer per point on the transect.
We then summed the total number of hits per species recorded for each 20-point
transect. We divided this number by 200 to obtain an average value for each transect
(i.e., mean TVV per transect; m3/m2) and calculated the associated 95% confidence
intervals (95% CI). TVV estimates for a transect could exceed 1 m3/m2, because hits
in all meter layers of the canopy were combined.
In addition to TVV, we visually estimated the maximum height of the canopy (m)
at each sampling point along the transect using the retractable pole. We used these
data to calculate the mean maximum canopy height and associated 95% CIs per transect.
We used our hit data to determine plant species richness (S) for each site (i.e., the
total number of plant species recorded along transects at each site; Krebs 1999) and
calculated the Shannon-Weiner diversity index (H’) per site based on the number of
plant species present and plant species abundance (i.e., the number of hits per plant
species; Krebs 1999). Given the importance of Ashe Juniper as a nesting and foraging
substrate for Warblers (Ladd and Gass 1999, Pulich 1976), we also calculated the
relative proportion of Ashe Juniper across all transects per study site.
To describe vegetation used by Warblers at nesting locations, we extended
four 20-m lines in each cardinal direction from the point on the ground directly
below each nest site. From the center point of each line (meter 10), we established
a perpendicular line as described above and sampled vegetation every 2 m along
each of the 4 transects (n = 20 sampling points per transect). We recorded hit and
maximum-height data similar to methods described for study sites. We used these
data to calculate mean TVV, mean maximum canopy height, and their associated
95% CIs across the 4 nest transects, resulting in 1 value per vegetation metric per
nest. We also calculated S, H’, and the proportion of Ashe Juniper across all nests
per study site.
We compared mean TVV and mean maximum canopy height across regions
separately for sites and nests using one-way analysis of variance (ANOVA;
Zar 1999:177). When results of the ANOVA indicated statistically significant
differences among regions, we used Tukey’s HSD and 95% CIs to evaluate statistically
significant differences among groups (Zar 1999:208). We summarized and
described S and H’ at study sites and nests across regions. We then compared the
proportion of Ashe Juniper across all combinations of regions for sites and nests
separately using a 2-sample test for proportions (Zar 1999:562) and presented
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results for all pairs with >20% difference in the proportion of Ashe Juniper between
regions. We conducted all statistical analyses using Program R v3.2.2 (R Core Development
Team 2013).
Results
We found statistically significant differences in mean TVV (F4,402 = 2.71, P =
0.03) and mean maximum canopy height (F4,402 = 4.21, P < 0.01) across regions
(Fig. 2). Mean TVV was ~11% higher at sites located in the Balcones Canyonlands
when compared to the Llano Uplift (Fig. 2). Mean maximum canopy height was
~1.5 times taller in the Balcones Canyonlands and Live Oak–Mesquite regions
when compared to the Grand Prairie region (Fig. 2). S at study sites was generally
lower in the more northern Western Cross Timbers and Grand Prairie regions when
compared to other regions (Table 1). H’ was generally higher in the Llano Uplift
and Balcones Canyonlands regions when compared to the other regions included in
our study (Table 1).
Figure 2. Mean total vegetation volume (m3/m2) and mean maximum canopy height (m)
at Setophaga chyrsoparia (Golden-cheeked Warbler) sites and nests in central Texas
(1995‒1997). Sites and nests are divided into natural regions as follows: CT = Western
Cross Timbers, GP = Grand Prairie, LU = Llano Uplift, BC = Balcones Canyonlands, LM =
Live Oak–Mesquite Savanna. Transect and nest sample sizes per natural region are identified
above each mean and associated 95% confidence interval.
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We found a statistically significant difference between the proportions of Ashe
Juniper at study sites for each pair of regions (Table 1). The Llano Uplift region had a
lower proportion of Ashe Juniper when compared to the other regions (Table 1). Specifically,
the proportion of Ashe Juniper at study sites was 26‒42% lower in the Llano
Uplift when compared to the Western Cross Timbers (χ2 = 2215.81, P < 0.01), Grand
Prairie (χ2 = 2858.54, P < 0.01), Balcones Canyonlands (χ2 = 1387.11, P < 0.01), and
Live Oak–Mesquite Savanna (χ2 = 1820.51, P < 0.01) regions. We also found that the
proportion of Ashe Juniper at study sites was ~20% lower in the Balcones Canyonlands
when compared to the Grand Prairie (χ2 = 1061.22, P < 0.01).
We collected vegetation data at 80 Warbler nests across 3 of the 5 regions we
surveyed. Mean TVV at nests was ~10% and ~25% higher in Live Oak–Mesquite
Savanna regions when compared to the Balcones Canyonlands and Llano Uplift
regions, respectively (F2,317 = 10.24, P < 0.01; Fig. 2). Mean maximum canopy
height at nest sites was not significantly different across regions (F2,317 = 0.67,
P = 0.49; Fig. 2). S at nests was similar across the regions included in our study
(Table 1). However, H’ was higher in the Llano Uplift region when compared to
the Balcones Canyonlands and Live Oak–Mesquite Savanna regions (Table 1).
The proportion of Ashe Juniper at nests was 74% and 85% higher in the Balcones
Canyonlands (χ2 = 1085.26, P < 0.01) and Live Oak–Mesquite Savanna
(χ2 = 2283.21, P < 0.01) regions, respectively, when compared to the Llano Uplift
(Table 1).
Discussion
Our descriptive study demonstrates that there is geographic variation in vegetation
used by Warblers on their breeding grounds in central Texas. While we
did not observe latitudinal or longitudinal patterns associated with mean TVV
and mean maximum canopy height at sites across the Warbler’s breeding range,
tree species diversity at sites and nests was higher in the centrally located Llano
Uplift when compared to the other regions. We also found that the proportion of
Ashe Juniper at sites and nests was lower in the centrally located Llano Uplift
when compared to the other regions included in our analyses. Conservation and
management of the Warbler often focuses on the importance of canopy cover
to this species. However, the occurrence of Warblers may be more tightly linked
Table 1. Tree species richness, tree species diversity, and proportion of Juniperus ashei (Ashe Juniper)
at sites and nests occupied by Setophaga chrysoparia (Golden-cheeked Warbler) in central Texas
(1995–1997).
Richness Diversity Juniper
Region Sites Nests Sites Nests Sites Nests
Western Cross Timbers 11 NA 1.22 NA 0.64 NA
Grand Prairie 9 NA 1.22 NA 0.67 NA
Llano Uplift 18 12 1.89 1.67 0.39 0.35
Balcones Canyonlands 23 15 1.81 1.45 0.53 0.61
Live Oak–Mesquite Savanna 18 15 1.57 1.32 0.58 0.65
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to Ashe Juniper cover than to canopy cover overall (DeBoer and Diamond 2006),
and the strength and shape of relationships between Ashe Juniper and Warbler
responses may depend on the tree species composition found therein (Long
2014). Our research provides evidence that these vegetation characteristics vary
across the range and suggests we should consider this variation with respect to
future management and research plans.
Unfortunately, we do not have information on Warbler nest outcomes during
our study. However, differences in site- and nest-scale vegetation characteristics
can influence avian reproductive success, most often via nest concealment from
predators (Martin 1993). Fink (1996) reported that highly exposed artificial
Warbler nests had 29% lower survival than highly concealed nests in the central
portion of the Warbler’s breeding range. Fink (1996) and Sperry et al. (2009)
also found a positive relationship between nest height and Warbler nest survival
at some locations (but see Reidy et al. 2009). Other factors linked to vegetation
structure and composition, such as predator assemblage (Reidy et al. 2009,
Sperry et al. 2009) or food abundance (Marshall et al. 2013), can influence relative
avian productivity across habitats. Additional range-wide studies to examine
how site-specific vegetation characteristics drive nest-site selection and subsequent
nest success may aid regional conservation and management efforts for
this species.
Acknowledgments
Access to land for this study was provided by D. Riskind, M. Lockwood, and many
park superintendents of the Texas Parks and Wildlife Department, as well as C. Abbruzzese
of the City of Austin, P. Sunby, S. Paulson, and private landowners. We thank D. Booher
for management of the field crews, P. Lee for data-management support, and field technicians
B. Archer, M. Bailey, J. Brawner, C. Chisum, K. Couch, G. Oliver, K. Newcomb, A.
Sugeno, D. Sugeno, D. Ricks, and D. Thompson for their contributions to this project. We
are also grateful to K.A. Arnold, R.D. Slack, W.E. Grant, F.E. Smeins, J.A. Butcher, and B.
Collier for their previous assistance with this project.
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