Ecology, 91(10), 2010, pp. 2874?2882  2010 by the Ecological Society of America Moisture as a determinant of habitat quality for a nonbreeding Neotropical migratory songbird JOSEPH A. M. SMITH,1,3 LEONARD R. REITSMA,2 AND PETER P. MARRA1 1Smithsonian Migratory Bird Center, National Zoological Park, 3001 Connecticut Avenue, Washington, D.C. 20008 USA 2Plymouth State University, Department of Biological Sciences, Plymouth, New Hampshire 03264 USA Abstract. Identifying the determinants of habitat quality for a species is essential for understanding how populations are limited and regulated. Spatiotemporal variation in moisture and its in?uence on food availability may drive patterns of habitat occupancy and demographic outcomes. Nonbreeding migratory birds in the neotropics occupy a range of habitat types that vary with respect to moisture. Using carbon isotopes and a satellite-derived measure of habitat moisture, we identi?ed a moisture gradient across home ranges of radio- tracked Northern Waterthrush (Seiurus noveboracensis). We used this gradient to classify habitat types and to examine whether habitat moisture correlates with overwinter mass change and spring departure schedules of Northern Waterthrush over the late-winter dry season in the tropics. The two independent indicators of moisture revealed similar gradients that were directly proportional to body mass change as the dry season progressed. Birds occupying drier habitats declined in body mass over the study period, while those occupying wetter habitats increased in body mass. Regardless of habitat, birds lost an average of 7.6% of their mass at night, and mass recovery during the day trended lower in dry compared with wet habitats. This suggests that daily incremental shortfalls in mass recovery can lead to considerable season-long declines in body mass. These patterns resulted in consequences for the premigratory period, with birds occupying drier habitats having a delayed rate of fat deposition compared with those in wet habitats. Taken together with the ?nding that males, which are signi?cantly larger than females, are also in better condition than females regardless of habitat suggests that high-quality habitats may be limited and that there may be competition for them. The habitat-linked variation in performance we observed suggests that habitat limitation could impact individual and population-level processes both during and in subsequent periods of the annual cycle. The linkage between moisture and habitat quality for a migratory bird indicates that the availability of high-quality habitats is dynamic due to variation in precipitation among seasons and years. Understanding this link is critical for ascertaining the impact of future climate change, particularly in the Caribbean basin, where a much drier future is predicted. Key words: body condition; body mass; habitat quality; migratory birds; nonbreeding winter habitat; Northern Waterthrush; Roosevelt Roads Naval Station, Puerto Rico; Seiurus noveboracensis. INTRODUCTION Climate and, more speci?cally, temperature and moisture, are among the most fundamental parameters that determine the composition and distribution of habitats (Holdridge 1967) and play an important role in determining resource abundances for organisms at higher trophic levels (Janzen and Schoener 1968, Karr and Freemark 1983, Bale et al. 2002). In lowland tropical regions, temperature at a given location is relatively stable (Janzen 1967). In comparison, moisture can vary considerably over space, seasonally, and across years due to geographic and seasonal patterns (Karr and Freemark 1983, Murphy and Lugo 1986). Such varia- tion may differentially impact the plant and invertebrate communities that comprise the habitats higher trophic level organisms occupy and may ultimately play a role in driving variation in demographic traits of these species. Variation in moisture over time and space can have important impacts on populations by regulating food supplies (White 2008). In particular, studies in tropical environments that experience rainfall seasonality suggest a general pattern that wetter locations have higher food resources and that these differences in food resources can have consequences on individual condition and survival (Dunham et al. 2004, Madsen et al. 2006, Valeix et al. 2008). While moisture may vary temporally (i.e., across years and seasons) and affect all members of a population equally, moisture availability also varies spatially (i.e., within and among habitat types) and can result in consequences for different components of a population and ultimately play a role in population Manuscript received 25 November 2009; accepted 25 January 2010. Corresponding Editor: M. Wikelski. 3 Present address: The Nature Conservancy, Delaware Bayshores Of?ce, 2350 Route 47, Delmont, New Jersey 08314 USA. E-mail: Joseph_Smith@tnc.org 2874 limitation and regulation (Johnson and McIlwee 1997, Studds and Marra 2007). Neotropical migratory birds are an excellent taxo- nomic group to study the role of moisture in determin- ing habitat quality because a single species often occupies a broad range of habitats that vary consider- ably with respect to moisture. Previous studies working across a range of habitats have demonstrated that insectivorous Neotropical migratory birds that occupy drier nonbreeding habitat types show lower overwinter site ?delity (Wunderle and Latta 2000, Latta and Faaborg 2001, 2002), declining physical condition and survival (Marra et al. 1998, Marra and Holmes 2001, Latta and Faaborg 2002, Brown and Sherry 2006, Johnson et al. 2006), delayed departure for breeding grounds (Marra et al. 1998), and delayed breeding initiation in the subsequent breeding season (Marra et al. 1998, Norris et al. 2004, Runge and Marra 2005, Reudink et al. 2009), suggesting that winter habitat quality plays a critical role in population regulation (Sherry and Holmes 1996, Runge and Marra 2005). Habitats are often classi?ed a priori into patches of homogeneous types. Few studies of nonbreeding migra- tory birds have classi?ed habitats a posteriori based on measures of ecologically relevant habitat features to better re?ect how study organisms perceive habitats. While moisture is suggested as a determinant of habitat quality, few of these studies speci?cally measured moisture at the scale of individual home ranges to examine patterns of variation within and among habitats that may in turn in?uence food availability and an individual?s physical condition. In this study, we examine the role of moisture in driving arthropod availability and the physical condition and performance of the Northern Waterthrush (Seiurus noveboracensis) across four habitat types and over diurnal and seasonal timescales. We quantify moisture levels on the home ranges of radio-tracked birds occupying the four different habitat types using satellite imagery and a stable carbon isotope index of habitat moisture assessed from a blood sample from these radio- marked birds. To assess changes in body condition we quantify (1) overnight mass loss and daytime body mass recovery and (2) seasonal changes in body mass of Northern Waterthrush across the habitat moisture gradient. Finally, we assessed impacts of changes in body condition on the timing of spring migration. METHODS Species description and study area The Northern Waterthrush is a paruline warbler that breeds throughout Canada, the northeastern United States, and Alaska and spends the nonbreeding period in the neotropics in Central America, northern South America, and the Caribbean (Eaton 1995). During the nonbreeding period the Northern Waterthrush is site faithful and solitary during the day (Schwartz 1964, Lefebvre et al. 1994, Reitsma et al. 2002) and is considered to be a moist-habitat specialist, occurring in its highest recorded densities in mangroves (Wunderle and Waide 1993). The occupation of exclusive non- breeding territories was documented in one study (Schwartz 1964) but others have found that home ranges overlap (Lefebvre et al. 1994, Reitsma et al. 2002). Evidence from our study sites indicates that at least some individuals maintain exclusive territories (Smith 2008). Foraging occurs primarily at ground level (Schwartz 1964, Lefebvre et al. 1992), and winter diet is composed of invertebrates (Lefebvre et al. 1992, 1994). We conducted this research at Roosevelt Roads Naval Station (188200 N, 658600 W) near Ceiba, on the east coast of Puerto Rico during January?April 2002?2004. Of the total 3464 ha that compose the station, 1612 ha are second-growth dry forest, 769 ha are mangrove forest, and 1083 ha are developed (GIS data; Eagan, McAllister and Associates, unpublished data). Developed areas are composed of roads, an airstrip, residential areas, of?ce complexes, commercial properties, and a ship port. We worked in four habitat types including second- growth dry forest and three mangrove forest types. Each of the mangrove forest plots was dominated by a single species: black mangrove (Avicennia germinans), white mangrove (Languncularia racemosa), and red mangrove (Rhizophora mangle). Dry forest was a heterogeneous habitat with a more complex plant community domi- nated by Bursera simaruba, Leucaena glauca, Prosopis juli?ora, and Guaiacum of?cinale (Ewel and Whitmore 1973). These forests developed from agricultural lands that were primarily sugar cane or pasture as late as the 1930s (Thomlinson et al. 1996). Red mangrove areas were directly adjacent to the coast, lagoons, and major drainages and occurred in pure stands, whereas black and white mangrove formed mixed- and single-species stands inland from red mangrove areas. Dry forest sites were still further inland, adjacent to mangroves. Additional mangrove areas present at Roosevelt Roads Naval Station that were only rarely used by Northern Waterthrush included short-stature (,2 m) stands of black mangrove and stands of dead mangrove. Study sites consisted of two dry-forest sites 1.5 km apart, two white mangrove sites 6.5 km apart, two black mangrove sites 1.5 km apart, and one red mangrove site that was separated from the nearest dry-forest site by a 300-m band of salt ?ats interspersed with sparse, short- stature black mangrove. Canopy heights within each site ranged from 3 to 20 m. Dry-forest sites did not have standing water. The dry season in this region lasts from January through April, when mean monthly precipita- tion is 7.5 cm or less (Daly et al. 2003). All mangrove sites had standing water, usually ,1 m in January, but water depth gradually decreased as the dry season progressed toward April and May. Daily ?uctuations in moisture levels infrequently occurred in coastal red mangrove areas during periods of exceptional tide ?uctuations. October 2010 2875MOISTURE AND WINTERING MIGRATORY BIRDS Bird sampling and radiotelemetry Northern Waterthrush were captured at two-week intervals from late January to early April. We erected 10?15 12-m mist nets at each study site for a two-day period from 06:00 to 18:00. Waterthrush were captured without the use of playbacks or other enticements to avoid biases toward territorial or behaviorally dominant individuals. At the time of capture all individuals were banded with a unique combination of two colored leg bands and an aluminum U.S. Fish and Wildlife Service band. Each individual was measured (un?attened wing chord, tarsus length, and tail length to 60.5 mm), weighed to the nearest 60.1 g using a digital scale (Ohaus, Pine Brook, New Jersey, USA), and given a furcular fat score (categories: 0, none visible; 1, trace; 2, fat forming a solid sheet across the bottom of the furculum; and 3, fat ?lling furculum [Holmes et al. 1989]). Age was not determined due to the unreliability of aging methodology for this species during the winter period (Pyle 1997). A 75-lL blood sample was taken for isotope analysis and to determine sex using a molecular technique (Grif?ths et al. 1998). Previous studies have demonstrated that blood sampling does not affect mass of small passerines (Stangel 1986) or their survival (Hoysak and Weatherhead 1991). We sexed 270 birds in total (2002, n ? 153; 2003, n ? 63; 2004, n ? 54). We analyzed carbon isotopes in blood samples as a measure of habitat use (Marra et al. 1998) for all Northern Waterthrush radio tracked in 2003 and 2004 as well as a random sample of birds captured over the course of the study (n?229). Radio-tracked birds served as a reference group with known habitat af?liations so that birds that were not tracked could be reliably assigned to a habitat category using discriminant function analysis. Habitat use could be inferred from these data because carbon isotope ratios in plant tissues are determined by both the water use ef?ciency and the photosynthetic pathways of plants (O?Leary 1981, Farquhar et al. 1989). Stable carbon isotope ratios are transferred up the food chain to invertebrates feeding on the plants and eventually to invertebrate predators such as the Northern Waterthrush (Peterson and Fry 1987). Because it re?ects the spatial scale at which birds are feeding, isotope ratio can be used as an index of habitat moisture within and between habitats (Marra et al. 1998), with depleted d13C values being a signature of moist habitat and enriched values indicative of a drier habitat. We chose to use blood plasma since it has a quicker turnover rate than other blood components (2?3 days; Hobson and Clark 1993) and thus would best re?ect the habitat that the bird was using just prior to the time of capture. All samples were collected within a two-week interval during January. Blood samples (75 lL) were collected in capillary tubes via brachial venipuncture, placed on ice, and later (,4 h) centrifuged at 1675.8 m/s2 for 8 min to separate red blood cells from plasma. The blood components were separated using a Hamilton syringe and frozen at158C. We freeze-dried, powdered, and loaded 1 mg of each sample into tin capsules for combustion (Hobson et al. 1997) in a continuous ?ow isotope ratio mass spectrophotometer (Europa Scienti?c, Cheshire, UK; University of Cal- ifornia Davis, Stable Isotope Facility). Results of stable isotope analyses are expressed as the deviation (in parts per thousand) from the Pee Dee belemnite standard (Ehleringer and Osmond 1989). From 2002 to 2004 we used radio transmitters attached to a subset of Northern Waterthrush to establish a reference group of stable carbon isotope samples from birds with known habitat af?liations. We radio tracked a total of 124 Northern Waterthrush over three seasons (2002, n? 33 females, 16 males; 2003, n? 21 males, 25 females; 2004, n ? 19 males, 18 females). Each individual was ?tted with a radio transmitter that had a unique frequency (n ? 75; Holohil BD2-A, Carp, Ontario, Canada; 0.74 g) using a leg harness technique (Rappole and Tipton 1991). Transmitter life ranged from three to four weeks. Each year we deployed 30 transmitters in late January, 30 in mid-February, and 15 in early March. During the February and March capture intervals we attempted to recapture as many birds as possible that were initially captured and tracked during January to measure change in body mass and to replace failing transmitters with new units to extend the tracking period of these individuals. As a result, birds were tracked over a variable period ranging from 7 to 70 days (mean ? 32.3, median ? 26 days). To quantify space use, one location per day of each individual was acquired during its tracking period. In 2002, individuals were found three times per day and little movement occurred within a day once a bird arrived on a feeding area from its roost site (within-day minimum convex polygon area ? 0.07 ha 6 0.01 [mean 6 SE], n? 25) thus little information was lost by ?nding birds once per day and we could increase our sample sizes of independent individuals. Location timing was varied randomly to re?ect the full span of daylight hours, except for dawn (before 07:00) and dusk (after 17:00) periods when the majority of birds were commuting to distant roost sites (Smith et al. 2008). We used radio receivers (Fieldmaster 16, Advance Telemetry Sytems, Isanti, Minnesota, USA) and three element Yagi antennas (Advanced Telemetry Systems) to relocate individuals with transmitters via homing. We approached as close as possible without disturbing the bird (to ;10 m). The observer location was then marked with a GPS (GPS 12, Garmin, Olathe, Kansas, USA), and the distance and bearing from this point to the bird were noted. Home range moisture We used satellite imagery to quantify wetness on radio-tracked Northern Waterthrush home ranges. A representative scene of 30-m resolution Landsat En- hanced Thematic Mapper (?ETM) imagery was used to quantify habitat conditions on 9 January 2001, which JOSEPH A. M. SMITH ET AL.2876 Ecology, Vol. 91, No. 10 corresponds to the time interval re?ected in blood samples taken for isotope analysis of radio-tracked birds. Although the scene used does not correspond to a year during which ?eldwork was conducted, habitat coverage within the study sites is identical (GIS data, Eagan, McAllister and Associates, unpublished data), and the scene used represents a year with typical annual rainfall patterns in which a pronounced dry season occurred between January and March following a much wetter period between September and December. To derive an index of wetness from the Landsat scene, the tasseled cap transformation was performed using ENVI 4.3 (ITT Corporation 2006). This transformation uses a standard series of coef?cients to create weighted sums of spectral bands that result in a reduced number of bands that explain .95% of image variation (Crist and Cicone 1984). The ?rst three resultant bands are the most frequently used and correspond to brightness, greenness, and wetness (Crist and Kauth 1986). Here we use the wetness component as a relative measure of soil moisture within Northern Waterthrush home ranges. This component estimates the amount of moisture held by vegetation and soil and is calculated by contrasting infrared spectral bands with the sum of visible and near- infrared spectra (Crist and Cicone 1984). Previous work has shown that this index corresponds well to temporal and spatial variation of soil (Ordoyne and Friedl 2008) and canopy foliar moisture (Toomey and Vierling 2005). To calculate wetness on Northern Waterthrush home ranges we extracted these values for all raster cells corresponding to telemetry locations and calculated a mean wetness value for each home range. Food availability Each time a bird was located, prey availability in the bird?s foraging area was quanti?ed using a timed, direct search of the ground substrate within two 0.25-m2 quadrats (Johnson and Strong 2000). We placed the sample site as close as possible to the location without disturbing the bird. Each search was divided into a passive and active period. The ?rst 3 min were spent visually searching the sample area and during the following 2 min the substrate (usually leaf litter) was overturned to expose hidden prey because the Northern Waterthrush is an active leaf-tosser during foraging (Schwartz 1964, Post 1978). All invertebrates encoun- tered were classi?ed by taxonomic order, and length was measured. Biomass was calculated using published length?mass regressions for Jamaican arthropods (John- son and Strong 2000). Previous research using emetic sampling documented the winter diet of Northern Waterthrush in Panama at a similar coastal study site (Lefebvre et al. 1992, Poulin et al. 1994). We constrained our samples to arthropod orders and size classes that were a known component of waterthrush diets. Home range food availability was measured for 74 individuals, and samples taken per territory ranged from 5 to 36 (mean ? 14, median ? 12). Statistical analyses We used ANCOVA to examine variation in body mass during the day and across the span of the dry season. For this analysis, we excluded all birds with visible fat scores .1 (i.e., birds that had begun premigratory fattening) and entered a body size index variable (principal component 1 [PC1] from a principal components analysis [PCA] of wing, tail, and tarsus that explained 80.2% of variance) as a covariate. For birds captured multiple times within a season, we used only the ?rst capture incident during a season, but considered captures of the same individual between years to be independent since the environmental conditions an individual experienced between years were independent. We added the following explanatory variables into an ANCOVA model for 229 Northern Waterthrush cap- tures to examine their effects on body mass: body size, time of day, season, year, and habitat. The season component condensed banding periods into the early and late dry season. We also included habitat3 time of day and habitat 3 season interactions to examine whether habitat affected mass change across these two temporal scales. All interactions including covariates were not signi?cant and were removed from the ?nal model. The habitat component was a binary variable representing the wet/dry dichotomy revealed by a discriminate function analysis of carbon isotopes using a single categorical habitat variable. The discriminant function was 93.5% accurate at assigning radio-tracked birds (n ? 78) with known habitat af?liations to the correct category. We used the resulting classi?cation coef?cients to assign birds that were captured by mist nets that were not radio tracked to one of these habitat categories for subsequent analysis. We used repeated-measures ANOVA to analyze rates of fattening of individual birds between habitats during the premigratory period. For this analysis, we con- strained the data set to a one-month period spanning between mid-March and early April and divided the set into two sampling periods of equal length. Only individuals captured in both periods were included in the analysis. If they were captured more than once in a period, a mean fat score for that individual was used. Time of day was included as a covariate. RESULTS Satellite moisture patterns by habitat The satellite wetness index produces a unitless measure of wetness with increasing values corresponding with increasing wetness. Radio-tracked Northern Wa- terthrush with home ranges in black mangrove (51.80 6 4.08 [mean 6 SE]; n ? 23) and dry forest (61.04 6 3.41; n? 30) had signi?cantly drier values than birds in white mangrove (33.97 6 4.54; n ? 17) and red mangrove (20.04 6 5.00; n? 14; ANOVA with Tukey post hoc test, F? 18.45, df? 3, 80, P , 0.0001; Fig. 1). October 2010 2877MOISTURE AND WINTERING MIGRATORY BIRDS Stable carbon isotopes as a measure of habitat moisture Stable carbon isotope signatures from the blood of radio-tracked birds with known habitat af?nities mir- rored the moisture gradient found using satellite imagery (Fig. 1). Northern Waterthrush inhabiting black man- grove (24.25% 6 0.27%, n? 22; Fig. 1) and dry forest (24.40% 6 0.25%, n ? 27) had signi?cantly more enriched (i.e., drier) stable carbon isotope values (ANOVA with Tukey post hoc test, F ? 21.83, df ? 3, 74, P , 0.0001) compared to those occupying white (27.18% 6 0.33%, n ? 15) and red mangrove (26.04% 6 0.34%, n ? 14). Habitat moisture and food availability Northern Waterthrush home ranges in the dry habitats had signi?cantly lower food availability (6.59 6 0.78 g dry mass/0.25 m2, n ? 46; Wilcoxon signed- rank test, z ? 3.52, P ? 0.0004) compared to the home ranges of birds occupying wet habitat (10.63 6 0.93 g dry mass/0.25 m2, n? 31). Seasonal mass change of radio-tracked birds and indices of moisture We found a strong linear relationship between stable carbon isotope values in blood plasma and mass change of radio-tracked Northern Waterthrush over the dry season (adjusted R2 ? 0.45, df ? 1, P , 0.0001, n ? 32; Fig. 2A). Birds with more enriched stable carbon signatures, representing drier habitat conditions and lower food availability, lost body mass whereas birds with more depleted stable carbon isotope signatures (wetter habitat conditions) gained mass as the season progressed. The same pattern was evident when we examined the relationship between mass change and wetness of individual home ranges derived from satellite imagery (adjusted R2? 0.27, df? 1, P? 0.0007, n? 35; Fig. 2B). Once again birds occupying drier home ranges (repre- sented by more negative values) tended to lose mass while those using wetter sites tended to gain mass as the dry season progressed. Variation in habitat use and mass change by sex For radio-tracked birds there was also a sex-speci?c pattern in mass change. An ANCOVA model (F? 6.65, df ? 3, 267, P ? 0.0012) including sex, the wet/dry habitat dichotomy, and a body size covariate (PC1 from a PCA of wing, tail, and tarsus) continued to show that birds in wet habitats had more positive trajectories of mass change (F ? 11.63, df ? 1, 267, P ? 0.0017; wet least-squares mean mass change, 0.66 6 0.15 g; dry least-squares mass change, 0.008 6 0.12 g) but regardless of habitat type, males showed signi?cantly better performance than females (F? 6.65, df? 1, 267, P ? 0.014; male least-squares mass change, 0.66 6 0.17 g; female least-squares mass change, 0.011 6 0.15 g). We found no evidence that sexes segregated by habitat. Based on a sample of 106 known-sex Northern Waterthrush, with habitat use inferred from carbon isotope results, sex ratio did not vary between the wet and dry habitat dichotomy (v2 ? 0.202, P ? 0.65). FIG. 1. Stable carbon isotope values (mean 6 SE) in blood plasma (d13C) and mean tasseled cap wetness index values of home ranges for radio-marked Northern Waterthrush (Seiurus noveboracensis) in Puerto Rico. Results of stable isotope analyses are expressed as the deviation (in parts per thousand) from the Pee Dee belemnite standard (Ehleringer and Osmond 1989). See Methods: Home range moisture for an explanation of the wetness index. More negative stable isotope values represent wetter habitat conditions, whereas increasing wetness index values represent wetter habitat conditions. Birds occupying white mangrove (Languncularia racemosa) and red mangrove (Rhizophora mangle) showed signi?cantly wetter values for both measures compared to birds using black mangrove and dry forest. The shaded section of the ?gure indicates the drier habitats. JOSEPH A. M. SMITH ET AL.2878 Ecology, Vol. 91, No. 10 Daily and seasonal mass change of birds that were not radio tracked Nocturnal mass change.?Individual birds captured while moving between roosts and diurnal habitats (Smith et al. 2008) in the evening and recaptured again the following morning (n ? 29) lost 7.6% of body mass on average (repeated-measures ANOVA, F? 27.63, df? 1, 28, P , 0.0001; evening mean, 16.2 6 0.17 g; morning mean, 15.1 6 0.16 g). We observed no signi?cant difference in nocturnal mass loss of birds using wet vs. dry diurnal habitats (F? 0.910, df? 2, 28, P? 0.35; wet, n? 17, change,0.061% 6 0.011%; dry, n? 12, change, 0.075% 6 0.013%). Diurnal mass change.?An analysis (ANCOVA, Table 1) of body mass for single captures of Northern Waterthrush during the day (n ? 229) revealed signi?cant effects of body size, time of capture, year, and a signi?cant habitat3 season interaction (Table 1). For the year effect, birds in 2003 (least-squares mean, 15.20 6 0.114 g) were signi?cantly lighter overall than birds from 2002 (least-squares mean, 15.63 6 0.103 g) and 2004 (least-squares mean, 16.02 6 0.092 g). The analysis also showed that Northern Waterthrush gained mass linearly throughout the day. The rate of gain was similar between habitats (wet habitats, 0.10 g/h, 95% CI, 0.048?0.147; dry habitats, 0.07 g/h, 95% CI, 0.057? 0.083). The habitat 3 season interaction term revealed that differences in mass between wet and dry habitats became highly signi?cant over the season (Fig. 3). At the beginning of the dry season, birds in both habitats had similar masses but by mid-March, at the peak of the dry season, body mass of birds occupying wet habitats had increased (early, least-squares mean, 15.48 6 0.15 g; late, least-squares mean, 16.05 6 0.13 g), whereas birds in dry habitats declined in mass during the progression of the season (early, least-squares mean, 15.606 0.083 g; late, least-squares mean, 15.33 6 0.12 g). FIG. 2. (A) The relationship between stable carbon isotope values from blood plasma of Northern Waterthrush and change in body mass between the early and late dry season. (B) The relationship between satellite-derived wetness of Northern Waterthrush home ranges and change in body mass between the early and late dry season. The shaded sections of the plots indicate drier habitats identi?ed using satellite imagery and stable carbon isotopes. See Methods: Home range moisture for an explanation of the wetness index. TABLE 1. Results from ANCOVA of factors predicting mass variation in the Northern Waterthrush (Seiurus novebora- censis) in Puerto Rico. Source of variation Sum of squares df F P Habitat (wet or dry) 3.99 1, 222 6.05 0.015 Body size 42.99 1, 222 65.15 ,0.0001 Time of day (hour) 32.22 1, 222 51.85 ,0.0001 Season (early or late) 1.30 1, 222 1.30 0.26 Year 20.87 2, 222 15.81 ,0.0001 Habitat 3 time of day 1.51 1, 222 2.29 0.13 Habitat 3 season 7.39 1, 222 11.19 0.001 Notes: The dependent variable is Northern Waterthrush mass (n ? 229); adjusted R2 ? 0.41. Habitat represents a dichotomy identi?ed using carbon isotopes. Body size is principal component 1 of a principal components analysis of wing, tail, and tarsus length. Season represents the early (January?February) vs. late (March?April) dry season. FIG. 3. Northern Waterthrush mass corrected for body size and time of day (least-squares mean 6 SE) as an estimate of physical condition during early (January?February) and late (March?April) dry-season periods. October 2010 2879MOISTURE AND WINTERING MIGRATORY BIRDS Rates of fat deposition Based on repeated captures of individuals, we found that rates of premigratory fat deposition just prior to spring migration to the breeding grounds from mid- March to early April varied by habitat. Northern Waterthrush using dry habitats (n ? 12) signi?cantly delayed fat deposition (repeated-measures ANOVA, F? 23.26, df?1, 11, P, 0.0001; late-March mean fat score, 0.56 6 0.20; early-April mean fat score, 1.21 6 0.22) compared with those using wet habitats (n ? 25; late- March mean fat score, 1.34 6 0.17; early-April mean fat score, 2.15 6 0.21). DISCUSSION Seasonal changes in moisture availability characterize tropical biomes throughout the world, and the manner in which animals, resident and migratory, respond and cope with such changes is poorly understood (Carson and Schnitzer 2008). Here, using radio tracking, along with stable carbon isotope and satellite wetness indices, we demonstrate that moisture determined food avail- ability and consequent overwinter condition of a wet- habitat specialist, the Northern Waterthrush. Our ?nding that males were signi?cantly heavier than females regardless of habitat type provides evidence that there may be competition for high-quality home ranges. Males in both wet and dry habitats showed more positive rates of mass change over the course of the dry season when compared to females in the same habitat. This suggests that along the wet?dry continuum within these habitats, males may be securing higher quality home ranges. This is consistent with sex-speci?c patterns of spatial and social behavior we observed in a concurrent study (Smith 2008) in which we found that birds showing high levels of aggression (predominantly males) are more likely to be territorial and that birds maintaining territories occupied wetter sites with higher food availability than birds that used alternative space use strategies. The larger body size of males we observed may offer a competitive advantage in effort to secure and defend high-quality home ranges that could be limited in availability. Overnight mass trajectories of Northern Waterthrush declined at equal rates and increased during the day, with a trend toward a slower rate of gain in drier habitats. Body mass loss overnight was on average 0.12 g/h, representing ;7.6% of total mass. This is similar to that observed for other small passerines (e.g., Parus spp., House Sparrow) wintering in temperate climates (Clark 1979, Lehikoinen 1987) but to the best of our knowledge this is the ?rst estimate of overnight mass loss for a Neotropical migrant on tropical nonbreeding grounds. That birds using both wet and dry habitats during the day experienced similar rates of overnight mass loss while using the same roosting habitat (Smith et al. 2008) suggests that the metabolic constraints of roosting are relatively constant regardless of diurnal habitat. Thus, the differences we detected in seasonal mass change between wet and dry habitats are due to patterns of diurnal habitat occupancy and the food availability within each of those habitats. Although we did not observe a signi?cant difference in the rate of mass gain during the day between wet and dry habitats, the slope estimate of diurnal mass gain was less steep in dry habitats. The strong seasonal differences we observed in mass change suggest that each day presents a challenge to recover the mass lost during the previous evening. Even slight differences in rates of gain between habitats result in daily shortfalls in mass recovery that, over days and weeks, accumulate to become signi?cant season-long declines in body mass, as we observed in Northern Waterthrush that occupied drier habitats. Habitat-speci?c differences in seasonal mass change have been reported for other Neotropical migrant species such as American Redstart (Setophaga ruticilla), Prairie Warbler (Dendroica discolor), Cape May Warbler (Dendroica tigrina), and Ovenbird (Seiurus aurocapilla) (Marra et al. 1998, Strong and Sherry 2000, Latta and Faaborg 2001, 2002, Studds and Marra 2005, Brown and Sherry 2006, Johnson et al. 2006), but ours is the ?rst to link habitat moisture with habitat quality of home ranges to body condition at both daily and seasonal timescales. We further found evidence that winter habitat occupancy may have in?uenced migration schedules of individuals. Rates of fattening differed signi?cantly between wet and dry habitats, suggesting that before building fat reserves, birds in dry habitats ?rst need to recover from season-long de?cits of fat-free mass resulting from protein catabolism of muscle tissue. We did not document such a mechanism in this study but experimental results from several species of migratory passerines indicate that a disproportionate amount of protein mass loss under food-limited conditions is from digestive organs (Karasov et al. 2004). Smooth muscle mass of the digestive tract may need to be rebuilt before storage of fat reserves for migration progresses (Gannes 2002, Karasov et al. 2004, Pierce and McWilliams 2004). Delays in fattening likely contributed to a delayed departure and arrival on breeding areas and possibly to lower reproductive success, similar to what has been demonstrated in the American Redstart (Marra et al. 1998). Rainfall and its impact on moisture availability to plants and resulting arthropod productivity varies annually (Dugger et al. 2004, Studds and Marra 2007). Since the Northern Waterthrush is an extreme-wet- habitat specialist, this species may be especially sensitive to even subtle deviations of annual precipitation and may be impacted heavily during El Nin?o/La Nin?a cycles (Giannini et al. 2000). Given that waterthrush forage primarily at the land?water edge, sites in anomalous years could be either too wet (i.e., under water) or too dry for optimal foraging. This could in part explain our result that birds in 2003 had signi?cantly lower mass than the other two years of the study. Interestingly, 2003 JOSEPH A. M. SMITH ET AL.2880 Ecology, Vol. 91, No. 10 corresponded with modest El Nin?o conditions, while 2002 and 2004 were normal years (NOAA, available online).4 This pattern may be evident because annual climate variation induces corresponding variation in the availability of high-quality habitats. Of particular concern are predictions that levels of rainfall in the Caribbean basin will signi?cantly decline over the next 50 years (Neelin et al. 2006, Rauscher et al. 2008). Such changes will have devastating effects on extant vegetative communities and their fauna. Our ?nding that a satellite-derived index of habitat moisture corresponds to an underlying gradient of habitat quality is a ?rst step in developing tools to remotely map habitat quality over large areas and multiple time periods to make predictions about how changing conditions may affect populations. Such an advance would play an important role in our attempts to understand and predict how declining precipitation may affect this species and possibly others at broader spatial scales. Future research on climate change should emphasize not only how plant and animal species adapt to increasing temperature but also adapt to a drier future, especially in the Caribbean basin. ACKNOWLEDGMENTS This research was supported by a grant from the DoD Legacy Resources Management Program. We thank Daniel Brown, Ram Papish, Ryan Peters, Mark Pollock, T. J. Robinson, Jared Woodcock, Alicia Byrd, Sara Campbell, Bill Deluca, Brian Gibbons, and Karin Roux for their excellent and dedicated work in the ?eld. We thank Winston Martinez and Oscar Diaz for facilitating our work at Roosevelt Roads Naval Station and the U.S. Forest Service Sabana Field Station and its staff for providing lodging and laboratory space. Thanks to William Gould and Gary Potts for help with acquiring imagery. Lee Weight at the Smithsonian Museum Support Center provided laboratory space and indispensable guidance during analysis of blood samples. We thank two anonymous reviewers for their thoughtful comments on the manuscript. Finally we thank Jean Lodge and Joe Wunderle for all of the assistance and hospitality they extended during our stay in Puerto Rico. LITERATURE CITED Bale, J. S., et al. 2002. Herbivory in global climate change research: direct effects of rising temperature on insect herbivores. Global Change Biology 8:1?16. Brown, D. R., and T. W. Sherry. 2006. Food supply controls the body condition of a migrant bird wintering in the tropics. Oecologia 149:22?32. Carson, W., and S. Schnitzer. 2008. Tropical forest community ecology. Wiley-Blackwell, Oxford, UK. Clark, G. A. 1979. Body weights of birds: a review. Condor 81: 193?202. Crist, E. P., and R. C. Cicone. 1984. A physically-based transformation of thematic mapper data: the TM tasseled cap. IEEE Transactions on Geoscience and Remote Sensing 22:256?263. Crist, E. P., and R. J. Kauth. 1986. The tasseled cap de- mysti?ed. Photogrammetric Engineering and Remote Sens- ing 52:81?86. Daly, C., E. H. Helmer, and M. Quinones. 2003. Mapping the climate of Puerto Rico, Vieques and Culebra. International Journal of Climatology 23:1359?1381. Dugger, K. M., J. Faaborg, W. J. Arendt, and K. A. Hobson. 2004. Understanding survival and abundance of overwinter- ing warblers: Does rainfall matter? Condor 106:744?760. Dunham, K. M., E. F. Robertson, and C. C. Grant. 2004. Rainfall and the decline of a rare antelope, the tsessebe (Damaliscus lunatus lunatus), in Kruger National Park, South Africa. Biological Conservation 117:83?94. Eaton, S. W. 1995. Northern Waterthrush (Seiurus novebor- acensis). In A. Poole, editor. The birds of North America. Academy of Natural Sciences, Philadelphia, Pennsylvania, USA. Ehleringer, J. R., and C. B. Osmond. 1989. Stable isotopes. Pages 281?290 in R. W. Pearcy, J. R. Ehleringer, H. A. Mooney, and P. W. Rundel, editors. Plant physiological ecology: ?eld methods and instrumentation. Chapman and Hall, London, UK. Ewel, J. J., and J. L. Whitmore. 1973. The ecological life zones of Puerto Rico and the U.S. Virgin Islands. U.S. Forest Service Research Paper ITF-18. Institute of Tropical Forestry, Rio Piedras, Puerto Rico. Farquhar, G. D., J. R. Ehleringer, and K. T. Hubick. 1989. Carbon isotope discrimination and photosynthesis. Annual Review of Plant Biology 40:503?537. Gannes, L. Z. 2002. Mass change pattern of blackcaps refueling during spring migration: evidence for physiological limita- tions to food assimilation. Condor 104:231?239. Giannini, A., Y. Kushnir, and M. A. Cane. 2000. Interannual variability of Caribbean rainfall, ENSO, and the Atlantic Ocean. Journal of Climate 13:297?311. Grif?ths, R., M. C. Double, K. Orr, and R. J. G. Dawson. 1998. A DNA test to sex most birds. Molecular Ecology 7: 1071?1075. Hobson, K. A., and R. G. Clark. 1993. Turnover of 13C in cellular and plasma fractions of blood: implications for nondestructive sampling in avian dietary studies. Auk 110: 638?641. Hobson, K. A., H. L. Gibbs, and M. L. Gloutney. 1997. Preservation of blood and tissue samples for stable-carbon and stable-nitrogen isotope analysis. Canadian Journal of Zoology 75:1720?1723. Holdridge, L. R. 1967. Life zone ecology. Tropical Science Center, San Jose, Costa Rica. Holmes, R. T., T. W. Sherry, and L. Reitsma. 1989. Population-structure, territoriality and overwinter survival of 2 migrant warbler species in Jamaica. Condor 91:545?561. Hoysak, D. J., and P. J. Weatherhead. 1991. Sampling blood from birds: a technique and an assessment of its effect. Condor 93:746?752. ITT Corporation. 2006. ENVI. Version 4.6. ITT Corporation, White Plains, New York, USA. Janzen, D. H. 1967. Why mountain passes are higher in the tropics. American Naturalist 101:233. Janzen, D. H., and T. W. Schoener. 1968. Differences in insect abundance and diversity between wetter and drier sites during a tropical dry season. Ecology 49:96?110. Johnson, C. N., and A. P. McIlwee. 1997. Ecology of the northern bettong, Bettongia tropica, a tropical mycophagist. Wildlife Research 24:549?559. Johnson, M. D., T. W. Sherry, R. T. Holmes, and P. P. Marra. 2006. Assessing habitat quality for a migratory songbird wintering in natural and agricultural habitats. Conservation Biology 20:1433?1444. Johnson, M. D., and A. M. Strong. 2000. Length?weight relationships of Jamaican arthropods. Entomological News 111:270?281. Karasov, W. H., B. Pinshow, J. M. Starck, and D. A?k. 2004. Anatomical and histological changes in the alimentary tract of migrating blackcaps (Sylvia atricapilla): a comparison among fed, fasted, food-restricted, and refed birds. Physio- logical and Biochemical Zoology 77:149?160.4 hwww.elnino.noaa.govi October 2010 2881MOISTURE AND WINTERING MIGRATORY BIRDS Karr, J. R., and K. E. Freemark. 1983. Habitat selection and environmental gradients: dynamics in the ??stable?? tropics. Ecology 64:1481?1494. Latta, S. C., and J. Faaborg. 2001. Winter site ?delity of prairie warblers in the Dominican Republic. Condor 103:455?468. Latta, S. C., and J. Faaborg. 2002. Demographic and population responses of Cape May warblers wintering in multiple habitats. Ecology 83:2502?2515. Lefebvre, G., B. Poulin, and R. McNeil. 1992. Abundance, feeding-behavior, and body condition of Nearctic warblers wintering in Venezuelan mangroves. Wilson Bulletin 104: 400?412. Lefebvre, G., B. Poulin, and R. McNeil. 1994. Spatial and social-behavior of Nearctic warblers wintering in Venezuelan mangroves. Canadian Journal of Zoology 72:757?764. Lehikoinen, E. 1987. Seasonality of the daily weight cycle in wintering passerines and its consequences. Ornis Scandinav- ica 18:216?226. Madsen, T., B. Ujvari, R. Shine, and M. Olsson. 2006. Rain, rats and pythons: climate-driven population dynamics of predators and prey in tropical Australia. Austral Ecology 31: 30?37. Marra, P. P., K. A. Hobson, and R. T. Holmes. 1998. Linking winter and summer events in a migratory bird by using stable-carbon isotopes. Science 282:1884?1886. Marra, P. P., and R. T. Holmes. 2001. Consequences of dominance-mediated habitat segregation in American Red- starts during the nonbreeding season. Auk 118:92?104. Murphy, P. G., and A. E. Lugo. 1986. Ecology of tropical dry forest. Annual Review of Ecology and Systematics 17:67?88. Neelin, J. D., M. Mu?nnich, H. Su, J. E. Meyerson, and C. E. Holloway. 2006. Tropical drying trends in global warming models and observations. Proceedings of the National Academy of Sciences USA 103:6110?6115. Norris, D. R., P. P. Marra, T. K. Kyser, T. W. Sherry, and L. M. Ratcliffe. 2004. Tropical winter habitat limits reproductive success on the temperate breeding grounds in a migratory bird. Proceedings of the Royal Society B 271:59? 64. O?Leary, M. H. 1981. Carbon isotope fractionation in plants. Phytochemistry 20:553?567. Ordoyne, C., and M. Friedl. 2008. Using MODIS data to characterize seasonal inundation patterns in the Florida Everglades. Remote Sensing of Environment 112:4107?4119. Peterson, B. J., and B. Fry. 1987. Stable isotopes in ecosystem studies. Annual Review of Ecology and Systematics 18:293? 320. Pierce, B. J., and S. R. McWilliams. 2004. Diet quality and food limitation affect the dynamics of body composition and digestive organs in a migratory songbird (Zonotrichia albicollis). Physiological and Biochemical Zoology 77:471? 483. Post, W. 1978. Social and foraging behavior of warblers wintering in Puerto Rican coastal scrub. Wilson Bulletin 90:197?214. Poulin, B., G. Lefebvre, and R. McNeil. 1994. Diets of land birds from northeastern Venezuela. Condor 96:354?367. Pyle, P. 1997. Identi?cation guide to North American birds. Part 1. Slate Creek Press, Bolinas, California, USA. Rappole, J. H., and A. R. Tipton. 1991. New harness design for attachment of radio transmitters to small passerines. Journal of Field Ornithology 62:335?337. Rauscher, S., F. Giorgi, N. Diffenbaugh, and A. Seth. 2008. Extension and intensi?cation of the meso-American mid- summer drought in the twenty-?rst century. Climate Dy- namics 31:551?571. Reitsma, L., P. Hunt, S. L. Burson, and B. B. Steele. 2002. Site ?delity and ephemeral habitat occupancy: Northern Water- thrush use of Puerto Rican black mangroves during the nonbreeding season. Wilson Bulletin 114:99?105. Reudink, M. W., P. P. Marra, T. K. Kyser, P. T. Boag, K. M. Langin, and L. M. Ratcliffe. 2009. Non-breeding season events in?uence sexual selection in a long-distance migratory bird. Proceedings of the Royal Society B 276:1619?1626. Runge, M. C., and P. P. Marra. 2005. Modeling seasonal interactions in the population dynamics of migratory birds. Pages 375?389 in R. Greenberg and P. P. Marra, editors. Birds of two worlds: the ecology and evolution of migration. Johns Hopkins University Press, Baltimore, Maryland, USA. Schwartz, P. 1964. The northern waterthrush in Venezuela. Living Bird 3:169?184. Sherry, T. W., and R. T. Holmes. 1996. Winter habitat quality, population limitation, and conservation of Neotropical nearctic migrant birds. Ecology 77:36?48. Smith, J. 2008. The non-breeding ecology of a Neotropical migratory songbird: the in?uence of habitat quality on spatial and social behavior and consequences for individual performance. Dissertation. George Mason University, Fair- fax, Virginia, USA. Smith, J. A. M., L. R. Reitsma, and P. P. Marra. 2008. Roosting behavior of a Neotropical migrant songbird, the northern waterthrush Seiurus noveboracensis, during the non- breeding season. Journal of Avian Biology 39:460?465. Stangel, P. W. 1986. Lack of effects from sampling blood from small birds. Condor 88:244?245. Strong, A. M., and T. W. Sherry. 2000. Habitat-speci?c effects of food abundance on the condition of ovenbirds wintering in Jamaica. Journal of Animal Ecology 69:883?895. Studds, C. E., and P. P. Marra. 2005. Nonbreeding habitat occupancy and population processes: an upgrade experiment with a migratory bird. Ecology 86:2380?2385. Studds, C. E., and P. P. Marra. 2007. Linking ?uctuations in rainfall to nonbreeding season performance in a long- distance migratory bird, Setophaga ruticilla. Climate Re- search 35:115?122. Thomlinson, J. R., M. I. Serrano, T. d. M. Lopez, T. M. Aide, and J. K. Zimmerman. 1996. Land-use dynamics in a post- agricultural Puerto Rican landscape (1936?1988). Biotropica 28:525?536. Toomey, M., and L. A. Vierling. 2005. Multispectral remote sensing of landscape level foliar moisture: techniques and applications for forest ecosystem monitoring. Canadian Journal of Forest Research 35:1087?1097. Valeix, M., H. Fritz, S. Chamaille-Jammes, M. Bourgarel, and F. Murindagomo. 2008. Fluctuations in abundance of large herbivore populations: insights into the in?uence of dry season rainfall and elephant numbers from long-term data. Animal Conservation 11:391?400. White, T. C. R. 2008. The role of food, weather and climate in limiting the abundance of animals. Biological Reviews 83: 227?248. Wunderle, J. M., and S. C. Latta. 2000. Winter site ?delity of Nearctic migrants in shade coffee plantations of different sizes in the Dominican Republic. Auk 117:596?614. Wunderle, J. M., and R. B. Waide. 1993. Distribution of overwintering Nearctic migrants in the Bahamas and Greater-Antilles. Condor 95:904?933. JOSEPH A. M. SMITH ET AL.2882 Ecology, Vol. 91, No. 10