Distribution, Abundance, and Breeding Activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2022 Annual Report

Open-File Report 2023-1080
Ecosystems Mission Area—Species Management Research Program
Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton
By:  and 

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Acknowledgments

This work was funded by the Environmental Security Department, Resources Management Division, Marine Corps Base Camp Pendleton, California. Data either are not available or have limited availability owing to restrictions of the funding entity (U.S. Marine Corps). Contact Ryan Besser (ryan.besser@usmc.mil) for more information. The authors thank the biologists who assisted in the data collection for this project: Lisa Allen, Annabelle Bernabe, Christopher Aaron Gallagher, Alexandra Houston, Scarlett Howell, Suellen Lynn, Devin Taylor, and Michelle Treadwell (U.S. Geological Survey).

Executive Summary

Surveys for the endangered Southwestern Willow Flycatcher (Empidonax traillii extimus) were done at Marine Corps Base Camp Pendleton (MCBCP or “Base”), California, between May 9 and July 20, 2022. All of MCBCP’s historically occupied riparian habitat (core survey area) was surveyed for flycatchers in 2022. None of the non-core survey area was surveyed in 2022.

Eight transient Willow Flycatchers of unknown subspecies were observed on three of the five drainages surveyed in 2022. Willow Flycatchers were not detected at Fallbrook or Pilgrim Creeks. Transients occurred in a range of habitat types, including mixed willow (Salix spp.) riparian, riparian scrub, and upland scrub habitat. Exotic vegetation, primarily poison hemlock (Conium maculatum), was present in most of the flycatcher locations.

In 2022, for the second time since monitoring began in 2000, resident Southwestern Willow Flycatchers were not detected on Base. The decline was not isolated to MCBCP; similar declines have been documented across California in recent years.

The one uniquely banded adult female flycatcher present during the 2021 breeding season did not return to MCBCP in 2022. None of the transients observed during surveys were seen to carry bands.

From 2000 to 2022, adult annual survival of Southwestern Willow Flycatchers on MCBCP was 60±3 percent, whereas first-year survival was 20±3 percent.

A conspecific attraction study was initiated on Base in 2018 and repeated annually through 2022; flycatchers were not observed near automated playback units in 2022.

Introduction

The Southwestern Willow Flycatcher (Empidonax traillii extimus, flycatcher) is one of four subspecies of Willow Flycatcher in the United States, with a breeding range that includes southern California, Arizona, New Mexico, extreme southern parts of Nevada and Utah, southwestern Colorado, and western Texas (Hubbard, 1987; Unitt, 1987; Browning, 1993). Restricted to riparian habitat for breeding, the Southwestern Willow Flycatcher has declined in recent decades primarily in response to widespread habitat loss throughout its range and, possibly, Brown-headed Cowbird (Molothrus ater; hereafter “cowbird”) parasitism (Wheelock, 1912; Willett, 1912, 1933; Grinnell and Miller, 1944; Remsen, 1978; Garrett and Dunn, 1981; Unitt 1984, 1987; Gaines, 1988; Schlorff, 1990; Whitfield and Sogge, 1999). By 1993, the species was believed to number approximately 70 pairs in California (U.S. Fish and Wildlife Service, 1993) in small, disjunct populations. The Southwestern Willow Flycatcher was listed as endangered by the State of California in 1992 and by the U.S. Fish and Wildlife Service in 1995.

Southwestern Willow Flycatchers in southern California co-occur with the Least Bell’s Vireo (Vireo bellii pusillus; hereafter “vireo”), which is another riparian obligate endangered by habitat loss and cowbird parasitism. However, unlike the vireo, which has increased ten-fold since the mid-1980s in response to management alleviating these threats (U.S. Fish and Wildlife Service, 2006), Willow Flycatcher numbers have remained low. As of 2021, the majority of Southwestern Willow Flycatchers in California are concentrated at two known sites: (1) the Owens River valley in Inyo County (M. Whitfield, Southern Sierra Research Station, written commun., 2021) and (2) the upper San Luis Rey River at Lake Henshaw in San Diego County (Howell and Kus, 2022). Outside of these sites, Southwestern Willow Flycatchers exist as small, isolated populations of one to a half-dozen pairs. Many of these small populations in San Diego County have been occupied intermittently, including Whelan Lake, Guajome, Bonsall, and Couser Canyon on the San Luis Rey River, San Dieguito River, San Diego River, and Sweetwater River (Unitt, 1987; Kus and others, 2003).

Male Southwestern Willow Flycatchers typically begin arriving in southern California in early to mid-May, whereas females arrive approximately 1 week later. Territorial males sing repeatedly from exposed perches while on the breeding grounds. Once the pair bond is established, the female builds an open-cup nest that is usually placed in a branch fork of a willow (Salix spp.) or plant with a similar branching structure, approximately 1–3 meters (m) above the ground. The typical clutch of three to four eggs is laid in May–June. Females incubate for approximately 12 days and nestlings fledge within 12–15 days in early July. Adults usually depart from their breeding territory in mid-August/early September to their wintering grounds in central Mexico, Central America, and northern South America.

The population of Southwestern Willow Flycatchers at Marine Corps Base Camp Pendleton (MCBCP or “Base”) was at one time one of the largest in southern California (Unitt 1987). Flycatcher numbers peaked in 2004 at 42 individuals, followed by declines that began in 2005. In response to declining flycatcher numbers on Base, a conspecific playback study was initiated in 2018 to explore if this method could be used to attract breeding flycatchers to recolonize MCBCP. Conspecific attraction, the tendency for individuals of a species to settle near one another, has been successfully used as a tool for recolonizing restored Sierra Nevada meadows with Willow Flycatchers of the adastus and brewsteri subspecies (Schofield and others, 2018), but it has not been applied to any populations of the extimus subspecies. This report presents a preliminary evaluation of Southwestern Willow Flycatcher response to conspecific playback.

In addition, three artificial seeps were installed in historically occupied flycatcher habitat for the purpose of habitat enhancement. The first seep was operated in 2019, and two additional seeps were added in 2021. The seeps were designed to augment surface water and enhance habitat for breeding flycatchers. Although this enhancement was designed to benefit flycatchers, few flycatchers have inhabited the habitat enhancement areas in recent years. However, Least Bell’s Vireos are abundant in the enhancement areas and were selected as a surrogate species to determine the effects of the habitat enhancement. Vireos co-occur with flycatchers in riparian habitat and have similar habitat requirements, such as the presence of riparian obligate trees (typically willows and cottonwoods) with a brushy understory. Vireos and flycatchers have similar territory size, similar territorial behavior (singing from high perches to advertise territory boundaries), and they share some similarities in nest placement (nests are placed in the understory vegetation). Although there are some differences in habitat requirements between these two species (flycatchers prefer more mesic conditions that include surface water or elevated soil moisture during at least part of the breeding season; vireos are more tolerant of drier, brushier vegetation sometimes lacking an overstory), vireos were considered sufficiently similar to flycatchers to serve as a surrogate species for analysis (Lynn and others, 2024).

The purpose of this study, which began in 2000, was to document the status of Southwestern Willow Flycatchers at MCBCP in San Diego County, California. Specifically, our goals were to (1) determine the size and composition of the Willow Flycatcher population on Base; (2) document survival (including modeling factors that might affect survival, such as sex, age, and precipitation), fidelity, and movement of resident flycatchers; (3) document nesting activities; (4) characterize habitat used by flycatchers; and (5) evaluate the use of conspecific playback to attract breeding Southwestern Willow Flycatchers to historically occupied habitat to facilitate recolonization. These data, combined with data from 2000 to 2021, will inform natural resource managers about the status of this endangered species at MCBCP and guide modification of land use and management practices as appropriate to ensure the species’ continued existence.

This work was funded by the Assistant Chief of Staff (AC/S), Environmental Security, Resources Management Division, Marine Corps Base Camp Pendleton, California. All activities were conducted under 10(a)1(A) Recovery Permit ESPER0004080_0.1.

Study Areas and Methods

Population Size and Distribution

In 2019, a reduced monitoring plan was implemented in which annual surveys for flycatchers were done only in “core” survey areas, where breeding had historically been documented on Base. The remaining unoccupied riparian habitat was divided into five “non-core” survey groups, with each group to be surveyed on a rotational schedule every 5 years, beginning in 2020. In 2022, all of MCBCP’s historically occupied riparian habitat (core survey area; fig. 1) was surveyed for Willow Flycatchers. Because of funding limitations, none of the non-core survey groups were surveyed for flycatchers in 2022. Protocol surveys were done three times between May 15 and July 31 (fig. 1; appendix 1, figs. 1.11.5). Field work was completed by U.S. Geological Survey personnel: Lisa Allen, Annabelle Bernabe, Christopher Aaron Gallagher, Alexandra Houston, Scarlett Howell, Suellen Lynn, Devin Taylor, and Michelle Treadwell. The specific areas surveyed are listed here:

Core Areas

  1. 1. Santa Margarita River:

    1. (a) Air Station East, Effluent Seep, Bell North, Bell South: from Basilone Road to a point approximately 8.5 kilometers (km) downstream, on the east side of the Santa Margarita River (appendix 1, fig. 1.2).

    2. (b) Rifle Range, Pump Road North: from the Rifle Range along Stagecoach Road to a point approximately 2.5 km downstream (appendix 1, fig. 1.2).

    3. (c) Above Hospital, Below Hospital West: from the confluence with De Luz Creek to Basilone Road (appendix 1, fig. 1.1).

  2. 2. Fallbrook Creek, Lake O’Neill: at the inflow to Lake O’Neill, as well as around the lake (appendix 1, fig. 1.1).

  3. 3. Las Flores Creek, Upper Las Flores North: between a point 1.6 km downstream from Basilone Road to the Zulu Impact Area boundary approximately 0.8 km upstream from Basilone Road, including the side drainage adjacent to the 43 area (appendix 1, fig. 1.3).

  4. 4. San Mateo Creek, Lower San Mateo Bottom: between the Pacific Ocean and a point approximately 3.6 km upstream, including habitat south of the creek and south of the agricultural fields (appendix 1, fig. 1.4).

  5. 5. Pilgrim Creek, South of Vandegrift: between the southern Base boundary and Vandegrift Boulevard, including the two side drainages east of Pilgrim Creek (appendix 1, fig. 1.5).

1. White labels describe drainages; blue labels describe historic breeding areas.
Figure 1.

Southwestern Willow Flycatcher survey and historic breeding areas at Marine Corps Base Camp Pendleton, 2022.

Investigators followed standard survey protocol (Sogge and others, 2010), moving slowly (approximately 2 km per hour) through the riparian habitat, while searching and listening for Willow Flycatchers. Observers walked along the edge(s) of the riparian corridor on the upland or river side where habitat was narrow enough to detect a bird on the opposite edge. In wider stands, observers traversed the habitat, choosing routes that permitted detection of all birds throughout its extent. Surveys typically began at sunrise and were completed by early afternoon, avoiding conditions of high winds and extreme heat that can reduce bird activity and detectability.

Upon initiation of the survey, investigators stood quietly for 1–2 minutes (min), listening for spontaneously singing Willow Flycatchers and acclimating to surrounding conditions, such as road noise, air traffic, and other bird songs. If flycatchers were not detected during the initial listening period, investigators broadcasted the Willow Flycatcher song (fitz-bew), using an MP3 player or phone and an amplified speaker, at the volume of typical bird songs, for approximately 10–15 seconds (s) and then looked and listened for approximately 1 min for a response. Song playback was ceased immediately upon detection of a Willow Flycatcher. Willow Flycatchers typically responded by moving silently toward the song, singing in response to the song or responding with some other call or vocalization. This procedure was repeated (including a 10-s, quiet, pre-broadcast listening period) every 20–30 m throughout the survey site and more often if background noise was loud. If a Willow Flycatcher was detected, the investigator moved approximately 80–100 m beyond the detection before implementing additional playback to avoid double counting birds. Because Empidonax flycatchers look very similar and species other than Willow Flycatchers may be present in the habitat, identification of Willow Flycatchers was not made by sight alone; the primary song (fitz-bew) was required for detection purposes (Sogge and others, 2010). If a potential Willow Flycatcher responded silently, approached, or responded with another vocalization (for example, whitts) but did not sing, observers carefully backed away and waited quietly. In most cases, if the bird was a Willow Flycatcher, it sang within a short time (5–10 minutes). Flycatchers that did not sing by the end of the encounter but were suspected to be breeding were revisited within 3 days (see “Breeding Productivity” in the “Study Areas and Methods” section). Flycatchers that did not sing and were not suspected to be breeding individuals were not counted in survey results, unless the flycatcher was detected again in a subsequent survey period (Sogge and others, 2010).

For each bird encountered, investigators recorded age (adult or juvenile), breeding status (paired, undetermined, or transient), and if possible, if the bird was banded. Flycatcher locations were mapped using ESRI Field Maps (Environmental Systems Research Institute, 2022) on Samsung Galaxy S7 and S8 and LG G5 mobile phones with Android operating systems and built-in Global Positioning System to determine geographic coordinates (World Geodetic System 1984 [WGS 84]).

Habitat Characteristics

Habitat was characterized by visual inspection at each flycatcher location. Habitat type was recorded according to the categories listed next, based on dominant vegetation:

  • Mixed willow riparian: Habitat dominated by one or more willow species, including black willow (S. gooddingii), arroyo willow (S. lasiolepis), and red willow (S. laevigata), with mule fat (Baccharis salicifolia) as a frequent co-dominant.

  • Willow-cottonwood: Willow riparian habitat in which Fremont cottonwood (Populus fremontii) is a co-dominant.

  • Willow-sycamore: Willow riparian habitat in which California sycamore (Platanus racemosa) is a co-dominant.

  • Sycamore-oak: Woodlands in which California sycamore and coast live oak (Quercus agrifolia) occur as co-dominants.

  • Riparian scrub: Dry or sandy habitat dominated by sandbar willow (S. exigua) or mule fat, with few other woody species.

  • Upland scrub: Coastal sage scrub adjacent to riparian habitat.

  • Non-native: Areas vegetated primarily with non-native species, such as giant reed (Arundo donax) and saltcedar (Tamarix ramosissima).

Percent cover of exotic vegetation at each location was estimated using cover categories of less than 5 percent, 5–50 percent, 51–95 percent, and greater than 95 percent; the dominant exotic species was recorded.

Conspecific Playback Surveys

Historic breeding territories at MCBCP were grouped into 14 plots; 7 of the plots received conspecific vocalization broadcasts designed to attract Southwestern Willow Flycatchers, and the remaining 7 served as a control group, receiving no vocalization broadcasts (fig. 2; Schofield and others, 2018). Of the seven conspecific playback plots, five were on the Santa Margarita River, one was at Lake O’Neill, and one was at Pilgrim Creek. Six of the control plots were on the Santa Margarita River, and the remaining plot was on Pilgrim Creek. In the conspecific playback plots, an automated unit broadcasted a combination of Willow Flycatcher vocalizations (primary “fitz-bew” song and various calls interspersed with silence) from 0100 to 0600, 0700 to 0900, and 2000 to 2100 Pacific Standard Time (PST). Vocalizations were broadcast at a volume level mimicking the typical level of spontaneously singing Willow Flycatchers and could be heard by observers at a maximum of 80 m away from the broadcast unit. Automated broadcast units consisted of a FOXPRO NX4 wildlife caller (FOXPRO, Lewiston, Pennsylvania, USA) connected to a Favolcano CN101A digital programmable timer (Favolcano, Fujian, China) and an external power source (12-volt, 9 amp-hours, AH, battery). The automated broadcast units were operated from May 2 to August 31, 2022, spanning the time when northbound flycatchers would be searching for locations to settle and potentially encompassing southbound flycatchers that might settle in future breeding seasons. Control plots not receiving broadcast vocalizations were located a minimum of 200 m from the broadcast unit to eliminate influence from the broadcast.

Surveys were done every other week from May to July in the conspecific playback and control plots to determine if any Southwestern Willow Flycatchers had established a territory. Surveys in 2022 began on May 7 and concluded on July 20. Investigators surveyed within 50 m of all historic breeding territories that fell within the playback or control plot, following a slightly modified survey protocol developed to attract Willow Flycatchers to restored Sierra Nevada meadows (Schofield and others, 2018). Upon initiation of the survey, investigators stood quietly for 3–5 min, listening for spontaneously singing or calling Willow Flycatchers. If flycatchers were not detected during the initial listening period, investigators broadcasted the Willow Flycatcher song for approximately 30 s and then looked and listened for approximately 2 min for a response. If no response was detected, investigators repeated the 30-s broadcast and 2-min listening period. If flycatchers were not detected after the second round of broadcasting/listening, the investigator moved to the next historic location within the survey plot and repeated the sequence with a 1-min, pre-broadcast listening period before beginning the 30-s playback. In plots with automated broadcast units, the units were turned off prior to the survey.

2. Overview of the study area with symbols for described features.
Figure 2.

Southwestern Willow Flycatcher conspecific playback survey plots, automated playback unit locations, and historic breeding territories at Marine Corps Base Camp Pendleton, 2022.

Artificial Seep Monitoring

Three artificial seeps were installed by MCBCP to increase surface water in Southwestern Willow Flycatcher breeding habitat: one in 2019 and two in 2021. The seeps were located within three of the conspecific playback plots (fig. 2) along the Santa Margarita River. During the course of conspecific playback surveys, we observed the habitat immediately surrounding the seeps and recorded if any Willow Flycatchers were using the area.

Breeding Productivity

Flycatchers observed during protocol surveys that were suspected to be resident birds (for example, observed in more than one survey period, pair vocalizations heard, evidence of nesting seen, and so on) were revisited within 3 days of the detection date. Resident birds were observed for evidence of nesting, and nests were located and monitored following standard protocol (Rourke and others, 1999). Nests were visited as infrequently as possible to minimize disturbance and reduce the chances of leading predators or cowbirds to nest sites. Typically, there were three to four visits per nest, spaced approximately 5–10 days apart, depending on the stage of the nest when initially detected. The first visit was timed to determine the number of eggs laid, the next to confirm hatching and age of young, and the last to band nestlings. After a nest became inactive, six possible nest fates were assigned based on these parameters:

  • (SUC) Successful: Nest fledged at least one young. Fledging was confirmed by detection of young outside the nest.

  • (PRE) Nest failed as a result of predation: This category included (1) nests seen in the process of ant or other predation; (2) nests found with evidence, such as eggshell fragments, feathers, or partially consumed nestlings in or below the nest; (3) nests with eggs or nestlings later found empty and torn from supporting branch, either partially or completely, typically indicative of mammal predation (Peterson and others, 2004); and (4) nests that had eggs or nestlings but were later found intact and empty before the expected fledge date with no evidence of eggs or nestlings on the ground, consistent with snake and bird predation, which typically leave no sign (Peterson and others, 2004).

  • (PAR) Nest failed as a result of parasitism: This category included (1) nests that were abandoned with one or more cowbird eggs in the nest and (2) nests that were tended by the host but contained only cowbird eggs.

  • (INC) Incomplete: Nests that were seen under construction but were never completed.

  • (OTH) Nest failed for other reasons that are known: This category included nests that failed for reasons that were known, such as host plant failure, surrounding vegetation falling and crushing a nest; inviable eggs that did not hatch after more than 2 weeks; and human disturbance, such as mowing or weed-whacking. This category also included nests that appeared to have failed as a result of cowbird “predation,” such as (1) abandoned nests containing punctured eggs in or below the nest, (2) nests where nestlings were killed by a puncture wound to the skull, or (3) nests where nestlings were ejected from the nest and found on the ground.

  • (UNK) Nest failed for unknown reasons: This designation was used when no other reason could be confirmed. In many instances, the fate “UNK” was assigned to nests that were likely depredated but, because we could not confirm egg-laying, did not fit the criteria of the “PRE” fate; these failures are explained more fully in the “Results” section.

Nest Site Characteristics

Nest site characteristics were recorded after the abandonment or fledging of nests. Measurements included nest height, host species, host height, distance from the nest to the edge of the host species, and distance from the nest to the edge of the clump of riparian vegetation (Rourke and others, 1999). Distance to edge of clump was expressed as a negative number if the nest was not in a clump of riparian vegetation. For example, if the nest was in a field of poison hemlock (Conium maculatum) without any other non-hemlock, riparian vegetation present, the distance to the nearest clump of riparian vegetation was measured and the value expressed as a negative number.

Survivorship, Fidelity, and Movement

To facilitate analyses of survival, fidelity, and movement, we attempted to capture and color band all resident flycatchers detected on MCBCP starting in 2000. Attempts were made each year to capture any unbanded adults within their territories using mist nets and band them with a numbered federal band on one leg and a solid or bi-colored metal band on the other. Returning adults previously banded as nestlings (natal) with a single numbered federal band were target netted to determine their identity, and their original band supplemented with one additional band to generate a unique color combination. Any observed nestlings would be banded at 7–10 days of age with a silver, aluminum, federal numbered band on the left leg.

Annual Survivorship

During surveys, we attempted to resight all Willow Flycatchers to determine whether they were banded, and if so, to confirm their identity by reading their unique color band combination or by recapturing birds with single federal bands. We used resighting and recapture data to calculate annual survival or the probability of surviving from 1 year to the next. Annual survival was calculated separately for adults and for first-year flycatchers that were banded as nestlings or juveniles (first-year survival). Imperfect detectability of banded individuals is typical of mark-recapture studies and occurs for various reasons (for example, females are more cryptic and may be missed on surveys, birds are detected as banded but their full color combinations [and thus identities] are not obtained, or birds with single federal bands are not recaptured and thus their identities not determined). We analyzed annual survival of banded flycatchers during 2000–22 at MCBCP in Program MARK (White and Burnham, 1999) using the RMark package (Laake, 2013) in R (R Core Team, 2022). Survival analysis in Program MARK accounts for individuals that were present but not detected or captured by modeling both survival and recapture probability.

Annual survival models were built by creating an encounter history matrix of all individual Southwestern Willow Flycatchers ever detected on MCBCP and if they were observed in each year during 2000–22. Flycatchers were grouped by age (originally banded as a first-year bird versus originally banded as an adult) and sex (female versus male). We created two sets of models: (1) a set including only adults (birds banded as adults or natals that returned to breed), and thus of known sex (“Adults Only”) and (2) a set including adults and nestlings (“Adults and First-year Birds”). We used the “Adults Only” models to test the effects of sex, year, and precipitation on adult survival and used the “Adults and First-year Birds” models to evaluate the effects of age, year, and precipitation on flycatcher survival. To evaluate the influence of age, sex, year, and winter precipitation on detection probability, we built and compared models holding survival constant. For the Adults-Only models, we set detection probability to differ by sex to account for sex-related behaviors (for example, males sing more frequently from exposed perches and are more easily detected than females; females may not respond to playback). For the model that included Adults and First-year Birds, we determined that detection probability differed by age, so it was included in evaluating all models for our age-dependent flycatcher survival. This model set did not include sex because we were unable to determine sex of flycatchers banded as nestlings unless they returned and were recaptured and identified as adults. Therefore, only the nestlings that survived their first winter could be classified retroactively as “male” or “female,” which would severely bias the estimate of sex-related survival of first-year flycatchers.

Winter precipitation was grouped into two periods of each bio-year (from July 1 to June 30; Office of Water Resources, 2022): early winter (October–December of the calendar year preceding the breeding season [PrecipEW]) and late winter (January–March of the calendar year of the breeding season [PrecipLW]). We created a set of models using total winter precipitation (the sum of EW and LW precipitation [PrecipTW]), early winter precipitation, and late winter precipitation as independent variables and an additive model that evaluated early and late winter precipitation together to estimate the coefficients for one variable while controlling for the other (PrecipEW + PrecipLW).

We used an information-theoretic approach (Akaike’s Information Criterion for small sample size [AICc]) to evaluate support for models that tested the effects of age, sex, year, and winter precipitation on survival (Burnham and Anderson, 2002). We used logistic regression with a logit link to build and rank models by AICc and identified the top model. First, we generated a constant survival model to serve as a reference for the effects of age, sex, year, and winter precipitation on survival. We then modeled the covariates and evaluated support for the models in relation to the constant survival model. We considered models “well-supported” if they were within 2 AICc units of the top model (ΔAICc) and had an Akaike Information Criterion (AIC) weight (the weight of evidence for the given model relative to the other models in the set) greater than 0.05. We present real estimates of annual survival from the top model. If there were multiple well-supported models (ΔAICc less than or equal to 2), we averaged over them using AIC weights to obtain real estimates of annual survival for adult females, adult males, all adults, and all first-year flycatchers. We evaluated the contributions of covariates within our top models by calculating the odds ratio for each covariate (the odds that the covariate had an effect on survival, where “no effect” is equal to 1, negative effect is less than 1, and positive effect is greater than 1). We then examined the 95-percent confidence interval of the odds ratio to determine the likelihood that the effect was significant. Where the confidence interval did not span 1, we concluded that we had 95-percent confidence that the covariate had a positive or negative effect on survival.

Site Fidelity and Movement

Southwestern Willow Flycatchers at MCBCP generally settle into historically occupied breeding areas to establish territories (see historic breeding areas; fig. 1). Resighting banded birds allowed us to examine between-year and within-year site fidelity. If banded flycatchers were identified, site fidelity and between-year and within-year movements were determined by measuring the distance between the center of a flycatcher’s territory in 2021 (or the last year detected) and the center of the same flycatcher’s territory in 2022. Flycatchers exhibited site fidelity if they returned to within 100 m of their 2021 territory.

Data Comparisons

All data from previous years at MCBCP used in comparisons with current data can be found in the following documents: Kus, 2001; Kus and Ferree, 2003; Kus and Kenwood, 2003, 2005, 2006a, 2006b; Kenwood and Kus, 2007; Rourke and others, 2008; Howell and Kus, 2009a, 2009b, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2024a, 2024b; Howell and others, 2018, 2020.

Results

Population Size and Distribution

Transients

Eight Willow Flycatchers of unknown subspecies were observed during protocol and conspecific playback surveys (appendix 2, figs. 2.12.3). All transients were detected between May 17 and May 25. Transients were detected on three of the five drainages surveyed in 2022. Willow Flycatchers were not detected on Fallbrook or Pilgrim Creeks.

Residents

Resident Southwestern Willow Flycatchers were not detected in 2022. Overall, the resident flycatcher population on Base decreased by 100 percent (one individual to zero individuals) from 2021 to 2022 (fig. 3; table 1).

3. Stacked bar graph showing the annual number of flycatchers, separated by sex.
Figure 3.

Number of resident Southwestern Willow Flycatchers at Marine Corps Base Camp Pendleton, 2000–22.

Table 1.    

Distribution of territorial Southwestern Willow Flycatchers at Marine Corps Base Camp Pendleton, 2000–22.

[Refer to fig. 1 for drainage/breeding areas. Drainage/breeding area: FC, Fallbrook Creek; LF, Las Flores Creek; PC, Pilgrim Creek; SO, San Mateo Creek; SR, Santa Margarita River]

Drainage/breeding area 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
FC/Lake O'Neill 2 2 2 3 2 1 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
LF/Las Flores 0 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
PC/Pilgrim 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0
SO/San Mateo 0 0 0 0 0 0 0 2 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0
SR/Above Hospital 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
SR/Below Hospital 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
SR/Air Station 6 5 2 0 2 0 0 4 4 5 6 5 6 5 3 0 1 0 20 1 0 0 0
SR/Rifle Range 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
SR/Pump Road 2 6 6 5 11 9 6 8 3 3 3 2 11 2 0 0 0 0 0 0 0 0 0
SR/Treatment Ponds 1 1 0 0 0 1 5 4 2 4 4 3 3 4 3 4 2 0 20 0 0 0 0
SR/Pueblitos 4 7 6 9 8 4 9 2 5 3 11 1 0 11 2 11 0 0 3 2 2 1 0
SR/Ysidora Ponds 5 8 4 4 6 9 5 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
SR/Bell 4 4 6 3 10 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
SR/Vine 4 2 4 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
SR/Stuart Mesa 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Total 28 35 33 32 40 29 31 26 14 16 15 12 12 13 9 5 3 0 3 3 2 1 0
Table 1.    Distribution of territorial Southwestern Willow Flycatchers at Marine Corps Base Camp Pendleton, 2000–22.
1

One male's territory overlapped two breeding areas, included in Treatment Ponds total.

2

Two different females utilized additional breeding areas (Air Station and Treatment Ponds) before settling in Pueblitos, included in Pueblitos total.

Conspecific Playback Surveys

Resident flycatchers were not detected in conspecific playback plots or control plots. Transient flycatchers were detected in 0 percent (0/7) of conspecific playback plots and 14 percent (1/7) of control plots with no playback.

Habitat Characteristics

A total of 63 percent (5/8) of all flycatcher detections occurred in habitat classified as “mixed willow riparian,” 60 percent (3/5) of which occurred along the Santa Margarita River (table 2). Twenty-five percent (2/8) of locations were in riparian scrub, dominated by mule fat or sandbar willow, and the final detection was located in upland scrub adjacent to the riparian habitat. Exotic vegetation occurred in most of the flycatcher locations in 2022 (5/8). The most common exotic plant in habitat used by flycatchers was poison hemlock (table 2). Thirty-eight percent (3/8) of flycatcher locations were composed of 5–50 percent exotic vegetation, and 25 percent (2/8) of locations were dominated by exotic vegetation (percent cover of exotics greater than 50 percent).

Table 2.    

Habitat characteristics of Willow Flycatcher locations at Marine Corps Base Camp Pendleton, 2022.

[<, less than; —, no data; BRA, black mustard (Brassica nigra); TAM, salt cedar (Tamarix ramosissima); CON, poison hemlock (Conium maculatum)]

Bird
identification
Drainage Breeding
status
Habitat
type
Exotic
cover class
Dominant
exotics
UL01F Las Flores Creek Transient Mixed willow <5 percent
MB01F San Mateo Creek Transient Mixed willow 5–50 percent BRA
BS01F Santa Margarita River Transient Upland scrub 5–50 percent TAM
BS02F Santa Margarita River Transient Riparian scrub 51–95 percent CON
HN701F Santa Margarita River Transient Mixed willow 51–95 percent CON
RR01F Santa Margarita River Transient Mixed willow 5–50 percent CON
RR02F Santa Margarita River Transient Mixed willow <5 percent
RR03F Santa Margarita River Transient Riparian scrub <5 percent
Table 2.    Habitat characteristics of Willow Flycatcher locations at Marine Corps Base Camp Pendleton, 2022.

Breeding Productivity

Flycatcher breeding activity was not observed on Base in 2022.

Survivorship, Site Fidelity, and Movement

Overview of Banded Population

No new adults or nestlings were banded in 2022. Seven of the eight transient Willow Flycatchers were observed well enough to determine band status (88 percent). None of the transient Willow Flycatchers were seen to carry bands.

Annual Survivorship

The recapture and resighting of banded birds allowed us to determine the proportion of Southwestern Willow Flycatchers previously documented on Base that returned to hold territories in 2022. Only one banded adult flycatcher (female) was present during the 2021 breeding season, and this bird was not observed on MCBCP in 2022.

Survivorship Models—Adults Only

Of the eight models we built, the four highest ranked models included an effect of precipitation (table 3); however, none of these effects were significant contributors to adult survival (table 4). Early winter precipitation (PrecipEW) appeared in the top model, but the parameter estimate (β) was near zero, the odds ratio equaled 1, and the 95-percent confidence interval of the odds ratio included 1, indicating that this variable had little influence on survival (table 4). The next three highest ranking models also included winter precipitation in varying time intervals (PrecipTW, PrecipLW, PrecipEW + PrecipLW), but based on low β values and confidence intervals spanning 1, none of these precipitation measures appeared to have a significant influence on survival. The model that included an effect of sex was ranked just below the constant model but still within 2 AICc units of the top model; however, the 95-percent confidence interval of the odds ratio included 1, indicating that sex did not significantly influence the model (table 4). Year appeared only in the two lowest ranked models and was not as well supported as the constant survival model. Based on the average of all well supported models, adult survival averaged 58±4 percent.

Table 3.    

Logistic regression models for the effects of sex (male versus female), year, and winter precipitation variables on annual survival of adult Southwestern Willow Flycatchers on Marine Corps Base Camp Pendleton, 2000–22.

[The effect of sex on detection probability was included in all models. Models are ranked from best to worst based on Akaike’s Information Criterion for small samples (AICc), ΔAICc, and AICc weights. AICc is based on −2x loge likelihood and the number of parameters in the model. PrecipEW, early winter precipitation from October 1 to December 31 of the calendar year before the breeding season; PrecipTW, total winter precipitation from October 1 of the calendar year before the breeding season to March 31 of the breeding season year; PrecipLW, late winter precipitation from January 1 to March 31 of the breeding season year. Abbreviation: +, plus]

Model AICc ΔAICc AICc
weight
Number of
parameters
Deviance
PrecipEW 30,200.3 0.0 0.27 4 29,965.5
PrecipTW 30,200.4 0.1 0.26 4 29,965.6
PrecipLW 30,201.8 1.5 0.13 4 29,967.0
PrecipEW+PrecipLW 30,201.9 1.7 0.12 5 29,965.1
Constant 30,201.9 1.7 0.12 3 29,969.2
Sex 30,202.0 1.8 0.11 4 29,967.3
Sex+year 30,222.3 22.0 0.00 25 29,941.5
Year 30,222.7 22.4 0.00 24 29,944.2
Table 3.    Logistic regression models for the effects of sex (male versus female), year, and winter precipitation variables on annual survival of adult Southwestern Willow Flycatchers on Marine Corps Base Camp Pendleton, 2000–22.

Table 4.    

Parameter estimate (β), standard error (SE), odds ratios, and 95-percent confidence intervals (CI) for the top six models explaining annual survival of adult Southwestern Willow Flycatchers on Marine Corps Base Camp Pendleton, 2000–22.

[Models are in order of best-supported to least-supported. PrecipEW, early winter precipitation from October 1 to December 31 of the calendar year before the breeding season; PrecipTW, total winter precipitation from October 1 of the calendar year before the breeding season to March 31 of the breeding season year; PrecipLW, late winter precipitation from January 1 to March 31 of the breeding season year. Abbreviation: +, plus]

Model Effect β SE Odds
ratio
95-percent
CI
PrecipEW Intercept −0.04 0.23 0.96 0.61–1.50
PrecipEW 0.03 0.02 1.03 11.00–1.07
PrecipTW Intercept −0.12 0.27 0.89 0.53–1.51
PrecipTW 0.01 0.01 1.01 11.00–1.03
PrecipLW Intercept 0.03 0.24 1.03 0.65–1.64
PrecipLW 0.02 0.01 1.02 0.99–1.04
PrecipEW+PrecipLW Intercept −0.13 0.27 0.88 0.52–1.49
PrecipEW 0.03 0.02 1.03 0.99–1.07
PrecipLW 0.01 0.01 1.01 0.98–1.03
Constant Constant (no effect) 0.33 0.12 1.39 1.09–1.77
Sex Intercept 0.49 0.17 1.63 1.17–2.28
Male −0.35 0.25 0.71 0.43–1.15
Table 4.    Parameter estimate (β), standard error (SE), odds ratios, and 95-percent confidence intervals (CI) for the top six models explaining annual survival of adult Southwestern Willow Flycatchers on Marine Corps Base Camp Pendleton, 2000–22.
1

Value prior to rounding up was below 1.00.

Survivorship Models—Adults and First-year Birds

Of the eight models built to examine the effects of age, year, and winter precipitation on annual survival of all flycatchers, the top model included age (table 5). This model had an AICc weight greater than 0.99, which was well above any other model in the model set. In this top model, adult flycatcher survival was significantly higher than first-year flycatchers (95-percent confidence interval of the odds ratio did not include 1; table 6). Based on the top model, adult annual survival was 60±3 percent, and first-year survival was 20±3 percent.

Table 5.    

Logistic regression models for the effects of age (first-year versus adult), year, and winter precipitation variables on survival of Southwestern Willow Flycatchers on Marine Corps Base Camp Pendleton, 2000–22.

[The effect of age on detection probability was included in all models. Models are ranked from best to worst based on Akaike’s Information Criterion for small samples (AICc), ΔAICc, and AICc weights. AICc is based on −2x loge likelihood and the number of parameters in the model. PrecipEW, early winter precipitation from October 1 to December 31 of the calendar year before the breeding season; PrecipTW, total winter precipitation from October 1 of the calendar year before the breeding season to March 31 of the breeding season year; PrecipLW, late winter precipitation from January 1 to March 31 of the breeding season year. Abbreviation: +, plus]

Model AICc ΔAICc AICc
weight
Number of
parameters
Deviance
Age 846.7 0.0 1.00 4 310.7
Age+year 865.7 19.1 0.00 25 285.4
PrecipEW 896.5 49.8 0.00 4 360.5
Constant 896.6 49.9 0.00 3 362.6
PrecipTW 897.3 50.6 0.00 4 361.3
PrecipLW 898.2 51.5 0.00 4 362.2
PrecipEW+PrecipLW 898.5 51.9 0.00 5 360.5
Year 913.5 66.8 0.00 24 335.4
Table 5.    Logistic regression models for the effects of age (first-year versus adult), year, and winter precipitation variables on survival of Southwestern Willow Flycatchers on Marine Corps Base Camp Pendleton, 2000–22.

Table 6.    

Parameter estimate (β), standard error (SE), odds ratios, and 95-percent confidence intervals (CI) for the top model explaining annual survival of Southwestern Willow Flycatchers on Marine Corps Base Camp Pendleton, 2000–22.

[The Intercept includes first-year flycatchers. All other effects values are the difference between that parameter and the Intercept]

Model Effect β SE Odds
ratio
95-percent
CI
Age Intercept −1.4 0.2 0.2 0.17–0.34
Adult 1.8 0.2 6.1 13.909.46
Table 6.    Parameter estimate (β), standard error (SE), odds ratios, and 95-percent confidence intervals (CI) for the top model explaining annual survival of Southwestern Willow Flycatchers on Marine Corps Base Camp Pendleton, 2000–22.
1

The 95-percent confidence interval of the odds ratio does not span 1.

Discussion

In 2022, breeding Southwestern Willow Flycatchers were not detected on MCBCP, after only one unpaired female was observed in 2021. From 2000 to 2004, the resident population of Southwestern Willow Flycatchers on Base increased annually, culminating in a high of 42 individuals in 2004. An overall downward trend began in 2005, characterized by several stepwise population declines, where the resident population dropped more than 24 percent from 1 year to the next (2004–05: 24 percent; 2007–08: 42 percent; 2013–14: 47 percent; 2014–15: 44 percent; and 2015–16: 40 percent). Resident flycatchers were not detected on Base in 2017, but in 2018, three flycatchers that were previously detected on Base returned and resumed breeding. The resident population remained at three individuals from 2018 to 2019 before resuming the downward trend, with a 67-percent decline from 2019 to 2020, followed by a 50-percent decline from 2020 to 2021 when no breeding male flycatchers were detected on Base, leaving a single, resident female.

The number of transients detected annually in the core survey area has varied greatly, despite consistent survey scope and effort, from a low of 2 in 2000 to a high of 42 in 2016. Although factors influencing the migratory route and variable timing of transient Willow Flycatchers are unclear, it remains clear that MCBCP provides important stop-over habitat for migrating Willow Flycatchers. Transient flycatchers were observed along multiple drainages on Base, including the Santa Margarita River and Las Flores and San Mateo Creeks. Transient flycatchers used multiple habitat types, including mixed willow, riparian scrub, and upland scrub habitats. Exotic vegetation was dominant in multiple transient locations.

Many of the historic breeding areas along the Santa Margarita River have been occupied by multiple breeding pairs in multiple years: Air Station, Pump Road, Treatment Ponds, Pueblitos, Ysidora, Bell, and Vine (see historic breeding areas; fig. 1). Of these seven primary breeding areas (those that supported multiple breeding pairs in multiple years), only the Pueblitos breeding area has been occupied in recent years; however, it was devoid of flycatchers in 2022. The Pueblitos breeding area has been occupied by breeding birds in most years since 2000, supporting up to six pairs annually; although, since 2009, occupancy has fluctuated between zero and one pair, with the exception of 2018 when two pairs occupied the area. In 2019 and 2020, Pueblitos was occupied by a single pair, and in 2021, Pueblitos was only occupied by an unpaired female. The reasons for the decline in Pueblitos are unclear; however, it is possible that the habitat may have reached a stage of ecological succession that is unsuitable for breeding flycatchers because this area has not experienced any disturbance since giant reed removal occurred in 2001. Flycatchers often occupy early successional habitat, which was historically created by natural processes, such as annual flooding that scoured the floodplain and created a mosaic of different aged stands of habitat (Theimer and others, 2018; U.S. Fish and Wildlife Service, 2002). Because natural processes such as flooding have been largely interrupted in modern times, disturbances such as vegetation removal can replace flooding and be used to create early successional habitat.

All other breeding areas more recently occupied by Southwestern Willow Flycatchers on MCBCP remained vacant in 2022, including the Treatment Ponds breeding area. The Treatment Ponds area was last occupied by breeding birds in 2018; the area hosted one to four breeding pairs from 2006 to 2016, was unoccupied in 2017 (when no breeding birds were detected anywhere on Base), and was occupied by one female at the beginning of the 2018 breeding season before she moved to Pueblitos. As with Pueblitos, the reasons for decline in the Treatment Ponds and all other historical breeding areas on Base are unclear, but may include habitat senescence, changes in vegetation and reduced soil moisture related to long-term drought, or hydrologic changes.

Two additional breeding areas were affected by fire in the recent past, which may have played a role in their occupancy status. The Air Station breeding area was last occupied by breeding flycatchers in 2019. The Air Station breeding area had been occupied by breeding birds on and off since 2000 and provided habitat for one to five breeding pairs in most years before the 2014 Las Pulgas fire, which burned approximately 350 hectares (ha) of riparian habitat along the Santa Margarita River. The Air Station breeding area has not been occupied by males since the fire; however, an unpaired breeding female attempted to nest in the area in 2016 and 2018, building a nest and laying infertile eggs both years. In 2018, the breeding female remained in the area for approximately 1 month before moving to Pueblitos. In 2019, the breeding female returned to the Air Station breeding area and successfully fledged young. In 2020, 2021, and 2022, breeding flycatchers were not detected in the Air Station breeding area. The Pump Road breeding area also was affected by the 2014 Las Pulgas wildfire and was last occupied before the fire, in 2013. Before the fire, occupancy at the Pump Road breeding area had been declining, from a high of 11 individuals in 2004 to 2 individuals the year before the fire.

Although the habitat seems to have recovered to pre-fire condition at the Air Station and Pump Road breeding areas, both remain unoccupied. Based on habitat recovery after previous fires in Southwestern Willow Flycatcher-occupied habitat in other locations, a minimum of 3–5 years is necessary for burned habitat to become suitable again for breeding (Paxton and others, 2007). However, burned areas may take more than a decade to regain suitability for flycatchers after catastrophic wildfire and may not recover at all. A site along the San Pedro River in Arizona burned in June 1996 and still was not reoccupied after 10 years (Durst and others, 2008), with the lack of suitable habitat regeneration suggested as the reason for extirpation (English and others, 2006). Habitat recovery after fire depends on many factors, including hydrologic conditions during regrowth; conditions such as drought, reduced groundwater, and altered river flow may impede recovery (Smith and others, 2009).

The three remaining primary breeding areas along the Santa Margarita River (Vine, Bell, and Ysidora Ponds) have been unoccupied since 2004, 2007, and 2008, respectively. The decline in these areas may have been related to prolonged overgrowth of exotic vegetation and poor recovery of the riparian habitat after removal. All the flycatcher breeding areas upstream from these three areas experienced some form of exotic vegetation removal between 1996 and 2002, but the overgrowth of exotic vegetation persisted in Vine, Bell, and Ysidora Ponds. Exotic vegetation (giant reed and saltcedar) was removed from these areas in 2008 and 2009; however, the areas remain unoccupied. It is possible that drought conditions experienced in San Diego County slowed habitat recovery after exotic removal. In the past, flycatchers have reoccupied areas on Base after exotic vegetation removal within 5–7 years: exotic vegetation was removed from the Pump Road area in 1996, which supported multiple breeding pairs by 2001; the Air Station area had exotic vegetation removed in 2000 and had returned to pre-removal occupancy by 2007; and the Treatment Ponds area had exotic vegetation removed in 2001, with recolonization by flycatchers by 2006. Mean (±SD) annual precipitation for the first 5 years after exotics removal at Pump Road, Air Station, and Treatment Ponds breeding areas was 41.9±23.9, 42.8±29, and 40.5±29.9 centimeters (cm), respectively (Office of Water Resources, 2022). In contrast, the mean annual precipitation for the first 5 years after exotics removal in 2008 (Ysidora Ponds) and 2009 (Bell and Vine) was 33.7±13.3 and 31.8±12.2 cm, respectively. Reduced precipitation in the post-removal years may have suppressed natural regrowth of riparian vegetation after removal. Although more precipitation fell in more recent years (2017, 2019, and 2020), providing some relief from the drought, the 2018, 2021, and 2022 bio-years produced less than average precipitation, perpetuating drought conditions that did not favor vegetation growth.

Although we speculate that insufficient quantity and quality of breeding habitat may have contributed to the flycatcher decline on Base, a flycatcher habitat suitability model developed by U.S. Geological Survey biogeographer James Hatten predicted that there was still plenty of suitable habitat at MCBCP in 2022 (Hatten and Paradzick, 2003; Hatten, 2016; Hatten, 2022). Despite this prediction, flycatchers on Base have continued to decline, ultimately, for unknown reasons.

Annual survival of adults does not appear to be a factor contributing to the declines seen in the flycatcher population on Base. Survival estimates for adults were within the range of survival estimates reported in other long-term studies of flycatchers. Adult survival at MCBCP averaged 60±3 percent across years, which is slightly below survival estimates for adults at Roosevelt Dam in Arizona from 1996 to 2005 (64 percent; Paxton and others, 2007) and higher than the adult return rate reported at the Kern River from 1989 to 2007 (52±18 percent; Whitfield and Henneman, 2009). In 2022, sex (male or female) did not appear to influence adult survival like it had in previous years, which may be an effect of small sample sizes in recent years combined with the loss of the last remaining female in the population. Year also did not appear to influence adult annual survival, nor did we find an effect of precipitation on survival when modelling adults only or adults plus first-year birds.

Overall, first-year survival was lower than adult survival, which is typical for most passerines. Across all years, first-year survival averaged 20±3 percent. In other flycatcher populations, first-year survival estimates have been roughly half those of adult survival (Paxton and others, 2007; Howell and others, 2022), but first-year survival was on average only 33 percent of adult estimates at MCBCP. This reduction is likely a reflection that MCBCP fledglings have not recruited into the Base breeding population since 2013. From 2001 to 2012, from one to six MCBCP natal birds annually would recruit into their natal site (MCBCP) and establish their first breeding territory. Since 2013, juveniles that hatched at MCBCP have not returned in subsequent years to breed anywhere on Base. The reasons for the decline are unclear, but it is possible that first-year flycatchers since 2013 encountered habitat conditions that were unsuitable, such as habitat burned by the 2014 Las Pulgas fire. Any first-year flycatchers that attempted to recruit in 2014 would have encountered a large amount of burned habitat, which may have prompted them to settle elsewhere. Two MCBCP natal birds that fledged between 2013 and 2018 have been detected in other areas of San Diego County; a single male was discovered at the Otay River in 2014, 86 km from his 2013 natal site, and in 2015, a female was discovered breeding on the upper San Luis Rey River near Lake Henshaw, 55 km from her 2013 natal site. First-year flycatchers have been documented dispersing up to 444 km to establish their first breeding territory (Paxton and others, 2007). Because survival estimates cannot separate annual mortality from permanent emigration, especially in studies that only cover a small geographic area, it is possible that first-year survival is not low; the birds simply dispersed elsewhere. The lack of recruitment to MCBCP may be a result of low first-year survival, young birds dispersing to areas outside the Base, or both. Although the small number of fledglings produced on Base between 2013 and 2020 may have contributed to the metapopulation in southern California as a whole, the failure of any recruits to return to MCBCP and perpetuate local breeding, for whatever reason, likely contributed to local extirpation in 2022.

In past years, our banding studies have allowed us to document both immigration into and emigration out of the MCBCP population, providing clear evidence that MCBCP played a role in the regional metapopulation. Immigration from nearby populations on the San Luis Rey River occurred multiple times in the early years of the study (2004, 2006–08), with adult and first-year flycatchers moving onto Base. However, the nearby populations along the San Luis Rey River that once augmented the MCBCP populations are now defunct, and there is no longer a close source of potential immigrants. The closest known population of Southwestern Willow Flycatchers in San Diego County is at Lake Henshaw on the upper San Luis Rey River, approximately 60 km from MCBCP. Although long distance dispersal can occur, most of the movements documented on MCBCP and other locations in San Diego County have been shorter dispersals (Howell and others, 2022).

Although the drivers of the decline of resident flycatchers on MCBCP remain unclear, several measures have been initiated in recent years in an attempt to reverse the declines, including using conspecific attraction to facilitate recolonization of historically occupied breeding areas. An experimental study using conspecific playback was initiated on Base in 2018 and has continued annually through 2022 (Howell and others, 2018, 2020; B. Kus, U.S. Geological Survey, unpub. data, 2021). In 2018, when the study on Base was first initiated, a previously unknown male settled adjacent to the playback, allowing breeding activities to resume after no breeding flycatchers were detected on Base in 2017. This male returned for two additional breeding seasons (2019, 2020) but was not present in 2021 or 2022. Although breeding flycatchers did not recolonize historically occupied areas on Base in 2022, it is possible that conspecific attraction will be effective in future years. The continuation of conspecific attraction playback may play an important role in restoring the population of resident flycatchers on Base.

The seep habitat enhancement project initiated by AC/S Environmental Security to augment surface water in historically occupied habitat is another important step in attempting to mitigate declines in the flycatcher population that could be related to changes in surface water on Base. In 2022, flycatchers were not observed using the area adjacent to the seeps; however, the additional surface water provided by the seeps is likely to have future effects on the riparian habitat, especially in drought years. Increasing surface water may decrease the severity of drought effects to vegetation and food resources in years with below average rainfall, such as 2022 (24.6 cm: Office of Water Resources, 2022). The addition of surface water may also assist in creating desirable habitat conditions for breeding flycatchers, such as a dense understory from 0 to 3 m, which was reported to be an important variable in previous nest vegetation studies (Rourke and others, 2004; Howell and others, 2018). Recreating these conditions may prompt flycatchers to establish territories in the enhanced areas in future years. A combination of surface water enhancement and the related benefits to breeding habitat, and subsequently conducting conspecific broadcasts in enhanced areas could be the key to restoring the Southwestern Willow Flycatcher population on MCBCP.

Conclusions

The Southwestern Willow Flycatcher population in California seems to be experiencing a statewide decline that is not isolated to Marine Corps Base Camp Pendleton (MCBCP or “Base”). Populations on the Kern River (Mary Whitfield, Southern Sierra Research Station, written commun., 2020), Bonsall on the San Luis Rey River (Allen and Kus, 2021), and the lower San Luis Rey River (Houston and others, 2021) have experienced steep declines or have been extirpated in recent years. After experiencing a high of 42 individuals in 2004, the population at MCBCP has been on a downward trajectory from 2005 to the present (2022). At least temporarily, the breeding population on MCBCP seems to have succumbed to the combined forces of prolonged drought, habitat loss from fire, slow recovery from exotic vegetation removal, and possibly habitat senescence. Southwestern Willow Flycatchers also may be facing pressures on their wintering grounds, including, but not limited to, habitat degradation and conversion to agriculture (M. Whitfield, Southern Sierra Research Station, written commun., 2020). This is the second time in recent years that resident flycatchers were not detected on Base; however, there is a possibility that this will also be a temporary extirpation, and breeding birds will return in future years. Until that time, any projects that alter the habitat in historically occupied areas warrant careful consideration. Restoration activities that create pockets of early successional habitat could improve the chances for recolonization by Southwestern Willow Flycatchers. The creation or restoration of water sources, such as holding ponds on Base near historically occupied areas, also may promote the return of Southwestern Willow Flycatchers, enhancing recovery of flycatchers on Base and in the region.

Based on our long-term observations of Southwestern Willow Flycatchers breeding under a variety of environmental conditions, the following actions have high potential for enhancing habitat suitability and availability on Base and thereby contributing to flycatcher recovery:

  1. 1. Evaluating potential changes in vegetation structure and composition that may have reduced the suitability of historically occupied areas by comparing vegetation data collected previously (2001 and 2002) with new data describing current habitat conditions (this action was completed in 2018 and 2019).

  2. 2. Creating pockets of early successional habitat in historically occupied breeding areas with priority given to areas closest to water.

  3. 3. Creating or restoring water sources at the following locations (World Geodetic System of 1984) in or adjacent to historically occupied breeding areas and considering controlled release of water from upstream dams to mimic seasonal flooding:

    • Settling ponds (33.28351, −117.37373; 33.26235, −117.37162)

    • Canal/ditch (33.28254, −117.37361 [initiated in 2018]; 33.28053, −117.37371; 33.27817, −117.37476; 33.25122, −117.37616)

    • Pooling (33.29325, −117.36784 [initiated in 2021]; 33.27908, −117.37424; 33.27874, −117.37338; 33.28443, −117.37991 [initiated in 2021]; 33.25797, −117.37241).

With the decline of Southwestern Willow Flycatchers on Base, communication between the AC/S Environmental Security and other military departments will become increasingly important. Our findings and experience indicate that effects to flycatcher habitat can be minimized when maintenance activities, such as clearing vegetation, are coordinated among personnel. This coordination and cooperation among various departments could help maintain a balance among the sometimes competing land uses on Base, including military activities, recreation, habitat protection, and endangered species management.

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Hatten, J.R., 2016, A satellite model of Southwestern Willow Flycatcher (Empidonax traillii extimus) breeding habitat and a simulation of potential effects of tamarisk leaf beetles (Diorhabda spp.), southwestern United States: U.S. Geological Survey Open-File Report 2016–1120, 88 p., accessed March 18, 2022, at https://doi.org/10.3133/ofr20161120.

Hatten, J.R., 2022, Southwestern Willow Flycatcher habitat viewer: U.S. Geological Survey, accessed March 20, 2023, at https://usgs.maps.arcgis.com/apps/webappviewer/index.html?id=0fea104260ef465fbd53b69b25a2a5f9.

Hatten, J.R., and Paradzick, C.E., 2003, A multi-scaled model of Southwestern Willow Flycatcher breeding habitat: The Journal of Wildlife Management, v. 67, no. 4, p. 774–788, accessed December 08, 2022, at https://doi.org/10.2307/3802685.

Houston, A., Allen, L.D., Pottinger, R.E., and Kus, B.E., 2021, Least Bell’s Vireos and Southwestern Willow Flycatchers at the San Luis Rey flood risk management project area in San Diego County, California—Breeding activities and habitat use—2020 annual report: U.S. Geological Survey Open-File Report 2021–1053, 67 p., accessed September 19, 2022, at https://doi.org/10.3133/ofr20211053.

Howell, S.L., and Kus, B.E., 2009a, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2008 annual report: Prepared for Assistant Chief of Staff, Environmental Security, Marine Corps Base Camp Pendleton.

Howell, S.L., and Kus, B.E., 2009b, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2009 annual report: Prepared for Assistant Chief of Staff, Environmental Security, Marine Corps Base Camp Pendleton.

Howell, S.L., and Kus, B.E., 2010, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2010 annual report: Prepared for Assistant Chief of Staff, Environmental Security, Marine Corps Base Camp Pendleton.

Howell, S.L., and Kus, B.E., 2011, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2011 annual data summary: Prepared for Assistant Chief of Staff, Environmental Security, Marine Corps Base Camp Pendleton.

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Appendix 1. Southwestern Willow Flycatcher Survey Areas at Marine Corps Base Camp Pendleton, 2022

1.1. Overview of the study area with colored polygons for described features.
Figure 1.1.

Southwestern Willow Flycatcher survey areas at Marine Corps Base Camp Pendleton, 2022: Santa Margarita River (upstream) and Fallbrook Creek.

1.2. Overview of the study area with colored polygons for described features.
Figure 1.2.

Southwestern Willow Flycatcher survey areas at Marine Corps Base Camp Pendleton, 2022: Santa Margarita River (downstream).

1.3. Overview of the study area with colored polygons for described features.
Figure 1.3.

Southwestern Willow Flycatcher survey areas at Marine Corps Base Camp Pendleton, 2022: Las Flores Creek.

1.4. Overview of the study area with colored polygons for described features.
Figure 1.4.

Southwestern Willow Flycatcher survey areas at Marine Corps Base Camp Pendleton, 2022: San Mateo Creek (downstream).

1.5. Overview of the study area with colored polygons for described features.
Figure 1.5.

Southwestern Willow Flycatcher survey areas at Marine Corps Base Camp Pendleton, 2022: Pilgrim Creek.

Appendix 2. Locations of Willow Flycatchers at Marine Corps Base Camp Pendleton, 2022

2.1. Overview of the study area with colored polygons and symbols for described features.
Figure 2.1.

Locations of Willow Flycatchers at Marine Corps Base Camp Pendleton, 2022: Santa Margarita River.

2.2. Overview of the study area with colored polygons and symbols for described features.
Figure 2.2.

Locations of Willow Flycatchers at Marine Corps Base Camp Pendleton, 2022: Las Flores Creek.

3.3. Overview of the study area with colored polygons and symbols for described features.
Figure 2.3.

Locations of Willow Flycatchers at Marine Corps Base Camp Pendleton, 2022: San Mateo Creek.

Conversion Factors

International System of Units to U.S. customary units

Multiply By To obtain
centimeter (cm) 0.3937 inch (in.)
meter (m) 3.281 foot (ft)
kilometer (km) 0.6214 mile (mi)
hectare (ha) 2.471 acre

Datum

Horizontal coordinate information is referenced to the North American Datum of 1983 (NAD 83).

Horizontal coordinate information is referenced to the World Geodetic System of 1984 (WGS 84).

Abbreviations

AICc

Akaike’s Information Criterion for small sample sizes

MCBCP

Marine Corps Base Camp Pendleton

min

minutes

s

seconds

For more information concerning the research in this report, contact the

Director, Western Ecological Research Center

U.S. Geological Survey

3020 State University Drive East

Sacramento, California 95819

https://www.usgs.gov/centers/werc

Publishing support provided by the U.S. Geological Survey

Science Publishing Network, Sacramento Publishing Service Center

Disclaimers

Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.

Suggested Citation

Howell, S.L., and Kus, B.E., 2024, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2022 annual report: U.S. Geological Survey Open-File Report 2023–1080, 27 p., https://doi.org/10.3133/ofr20231080.

ISSN: 2331-1258 (online)

Study Area

Publication type Report
Publication Subtype USGS Numbered Series
Title Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2022 annual report
Series title Open-File Report
Series number 2023-1080
DOI 10.3133/ofr20231080
Year Published 2024
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) Western Ecological Research Center
Description vi, 27 p.
Country United States
State California
Other Geospatial Marine Corps Base Camp Pendleton
Online Only (Y/N) Y
Google Analytic Metrics Metrics page
Additional publication details