Population surveys indicate a declining trend in abundance for the scoter genus at the continental level. Little is known about changes in life history traits responsible for the recent population decline of white-winged scoters (<i>Melanitta fusca deglandi</i>, hereafter scoters). Therefore, I studied nesting and duckling ecology of scoters at Redberry Lake, Saskatchewan, Canada during summers 2000-2001 when I found 198 nests. To examine nest-site selection, I compared habitat features between successful nests, failed nests, and random sites. Discriminant function analysis differentiated habitat features, measured at hatch, between successful nests, failed nests, and random sites; lateral (r = 0.65) and overhead (r = 0.35) concealment were microhabitat variables most correlated with canonical discriminant functions. I also modeled daily survival rate (DSR) of nests as a function of year, linear and quadratic trends with nest age, nest initiation date, and seven microhabitat variables. Nest survival from a time constant model (i.e., Mayfield nest success estimate) was 0.35 (95% CL: 0.27, 0.43). Estimates of nest success were lower than those measured at Redberry Lake in the 1970s and 1980s. In addition to nest survival increasing throughout the laying period and stabilizing during incubation, nest survival showed positive relationships with nest concealment and distance to water, and a negative relationship with distance to edge. Considering these factors, a model-averaged estimate of nest survival was 0.24 (95% CL: 0.09, 0.42). I conclude that scoters selected nesting habitat adaptively because (1) successful sites were more concealed than failed sites, (2) nest sites (i.e., successful and failed) had higher concealment than random sites, and (3) nest sites were on islands where success is greater than mainland. I then estimated duckling and brood survival with Cormack-Jolly-Seber models, implemented in Program Mark, from observations of 94 and 664 individually marked adult hens and ducklings, respectively. I tested hypotheses about duckling survival and (1) hatch date, (2) initial brood size at hatch, (3) duckling size and body condition at hatch, (4) offspring sex, (5) maternal female size and body condition at hatch, and (6) weather conditions within one week of hatching. Most mortality occurred during the first six days of duckling age. Variation in both duckling and brood survival were best modeled with effects of hatch date and initial brood size, while effects of female condition, female size, duckling size, and duckling condition were inconsistent. Survival probability clearly decreased with advancing hatch date and increased with larger initial brood sizes. Effects of weather and offspring sex in 2001, the only year such information was collected, suggested survival was negatively related to poor weather, but sex of ducklings, beyond size-related differences (i.e., sexual-size dimorphism), was unimportant. Estimates of survival to 28 days of age (30-day period), whether for ducklings (0.016, 0.021) or broods (0.084, 0.138) in 2000 or 2001, respectively, are the lowest of published studies and first for scoter broods in North America. I suspect intense gull predation shortly after hatch had the largest influence on duckling survival. Further research is needed to ascertain if low nesting success and duckling survival as well as other life cycle components are limiting scoter populations locally and throughout the rest of their breeding range.

Population surveys indicate a declining trend in abundance for the scoter genus at the continental level. Little is known about changes in life history traits responsible for the recent population decline of white-winged scoters (<i>Melanitta fusca deglandi</i>, hereafter scoters). Therefore, I studied nesting and duckling ecology of scoters at Redberry Lake, Saskatchewan, Canada during summers 2000-2001 when I found 198 nests. To examine nest-site selection, I compared habitat features between successful nests, failed nests, and random sites. Discriminant function analysis differentiated habitat features, measured at hatch, between successful nests, failed nests, and random sites; lateral (r = 0.65) and overhead (r = 0.35) concealment were microhabitat variables most correlated with canonical discriminant functions. I also modeled daily survival rate (DSR) of nests as a function of year, linear and quadratic trends with nest age, nest initiation date, and seven microhabitat variables. Nest survival from a time constant model (i.e., Mayfield nest success estimate) was 0.35 (95% CL: 0.27, 0.43). Estimates of nest success were lower than those measured at Redberry Lake in the 1970s and 1980s. In addition to nest survival increasing throughout the laying period and stabilizing during incubation, nest survival showed positive relationships with nest concealment and distance to water, and a negative relationship with distance to edge. Considering these factors, a model-averaged estimate of nest survival was 0.24 (95% CL: 0.09, 0.42). I conclude that scoters selected nesting habitat adaptively because (1) successful sites were more concealed than failed sites, (2) nest sites (i.e., successful and failed) had higher concealment than random sites, and (3) nest sites were on islands where success is greater than mainland. I then estimated duckling and brood survival with Cormack-Jolly-Seber models, implemented in Program Mark, from observations of 94 and 664 individually marked adult hens and ducklings, respectively. I tested hypotheses about duckling survival and (1) hatch date, (2) initial brood size at hatch, (3) duckling size and body condition at hatch, (4) offspring sex, (5) maternal female size and body condition at hatch, and (6) weather conditions within one week of hatching. Most mortality occurred during the first six days of duckling age. Variation in both duckling and brood survival were best modeled with effects of hatch date and initial brood size, while effects of female condition, female size, duckling size, and duckling condition were inconsistent. Survival probability clearly decreased with advancing hatch date and increased with larger initial brood sizes. Effects of weather and offspring sex in 2001, the only year such information was collected, suggested survival was negatively related to poor weather, but sex of ducklings, beyond size-related differences (i.e., sexual-size dimorphism), was unimportant. Estimates of survival to 28 days of age (30-day period), whether for ducklings (0.016, 0.021) or broods (0.084, 0.138) in 2000 or 2001, respectively, are the lowest of published studies and first for scoter broods in North America. I suspect intense gull predation shortly after hatch had the largest influence on duckling survival. Further research is needed to ascertain if low nesting success and duckling survival as well as other life cycle components are limiting scoter populations locally and throughout the rest of their breeding range.

Habitat degradation by humans has been the main reason for the decline in numbers of P. floridanus, the only mammal indigenous to the state of Florida, in the past century. The mouse inhabits what remains of scrub and sandhill associations, which are characterized by patches of sandy soils within a more mesic landscape. It has long been accepted that small populations are more prone to decline and extinction than are larger ones as a result of environmental fluctuations. I hypothesized that the demography of a population of P. floridanus would be affected by a restriction in numbers through habitat patch size in a deterministic way, even without any environmental effects. I also examined dispersal and looked for evidence of metapopulation dynamics. Mark-recapture data were collected from ten scrub fragments in Lake Wales Ridge State Forest, Polk County, FL, ranging in size from 0.5 to 170 ha. Program MARK was used to model survival, recruitment and population growth rate of P. floridanus as a function of habitat patch size and to evaluate temporary migration patterns. Recruitment was positively associated with patch size, but contrary to expectations survival and population growth were negatively associated with patch size. Results suggested that survival was negatively affected by ear tagging, although this effect was temporary. Evidence of migration was found, but would probably have been greater if trapping had been continued until after peak reproduction, when juveniles tend to disperse in search of resources. The degree of interbreeding among patches can only be determined with the help of genetic analyses. Microsatellites have become useful in analyses at the population level because of their high degree of variability. Future research including genetic analyses is recommended to evaluate the importance of gene flow among subgroups to demography and the viability of the study population.

Manuscript No. 1 Recent research has indicated that low nest success and juvenile survival of Greater Sage-Grouse may be responsible for population declines. Recent technological advances in micro-transmitters have made radio-telemetry studies on Sage-Grouse chicks more common. Radio-telemetry enables monitoring of individual chicks and broods during a critical period of their life history. The exact cause of low chick recruitment in Strawberry Valley has not been well understood. In 2006, a chick mortality study using micro-transmitters was initiated to (1) determine the causes of chick mortality, (2) calculate overall chick survival, (3) compare chick survival in the Strawberry Valley population to published reports, (4) monitor brood movements, and (5) suggest management strategies for mitigation of chick mortality. Survival data on radio-marked chicks were analyzed using a known fate model in program MARK. Chick survival in Strawberry Valley was greater than all reported estimates from other studies. Our study did not identify any unsuspected causes of chick mortality, and the cumulative effect of stressing chicks, hens, and broods was not deemed worth the benefit, especially in a population recovery setting like Strawberry Valley. We do not recommend the use of radio-telemetry on Sage-Grouse chicks in recovering or sensitive populations. Manuscript No. 2 In 2003, we began translocating Greater Sage-Grouse into the Strawberry Valley of central Utah, in an attempt to recover the dwindling population found therein. Prior to 2006 all translocated Sage-Grouse were released within 250 m of the only active lek in Strawberry Valley while males were actively strutting. A prolonged winter in 2006 delayed normal lekking activity in Strawberry Valley. As a result 61 (59%) of the 103 sage-grouse translocated in 2006 were not released near an active lek. We analyzed the influence that release timing, hen age, body mass, and source population had on mortality, flocking, and dispersal distance of translocated hens in 2006. We found that mortality and flocking rates were not influenced by release timing, hen age, body mass, or source population. Dispersal distances for hens released near a lek with actively strutting males were significantly less than distances of hens released near an inactive lek. We believe that releasing translocated Sage-Grouse near a lek with actively strutting males is an essential technique for Greater Sage-Grouse translocations. We recommend that other Sage-Grouse translocation efforts employ this method to increase the likelihood of success.

No description available.

Abstract Climate change causes range expansions, but neither the population parameters nor the ecological mechanisms behind range expansions are well known. I studied population dynamics and demography of the great tit (Parus major) in northern Finland, close to the northern range margin of the species’ distribution. I further examined winter conditions, such as temperature, as limiting factors on winter site fidelity and survival of human-fed great tits. Temporal variation in the population growth rate was large, but indicated an overall increasing population size, which fits the current large scale increase in the north. Importantly, the study population was a sink (or pseudo-sink) in almost all years because of low adult survival and low local recruitment. Immigration formed 39–43% of the annual population growth rate indicating that the population is demographically dependent on immigration. The demography differs most from other great tit populations in terms of adult survival which is lower than estimates from more southern Europe. This difference may reflect the impact of more difficult winters. Results from the wintering population support this line of reasoning. Within-winter movement was lower during mid-winter (January to February) and decreased during cold periods. This pattern is probably linked to energy saving and predator escaping strategies during these demanding periods when energy expenditure is high and birds have limited daylight hours to forage. Site fidelity was lower for juveniles than adults within a winter, but not between winters. In addition, survival showed strong links to winter weather. There was temporal variation within winters, particularly when the winter was colder than usual. Survival of juveniles showed a stronger response to cold temperatures. When mean daily minimum temperatures declined below –15 C&#176; degrees, survival started to decline. Low winter temperatures thus provide one explanation for the lower annual adult survival and the sink nature of the population. The results suggest that great tits suffer from the cold conditions of the north: higher mortality increases turnover allowing for strong immigration. Great tits should benefit from warming winters caused by climate change. / Tiivistelmä Väitöskirjassani tutkin talitiaisen (Parus major) populaatiodynamiikkaa, talviaikaista paikkauskollisuutta ja säilyvyyttä levinneisyysalueen pohjoisreunan läheisessä populaatiossa Oulussa. Aikuissäilyvyys oli vuosittain hieman alhaisempi kuin lajin ydinalueella Länsi-Euroopassa. Tutkimusalueella syntyneistä poikasista vain pieni osa jäi pesimään tutkimusalueelle, mikä heijastaa voimistunutta lähtömuuttoa huonolaatuiselta alueelta. Ajallinen vaihtelu populaation kasvukertoimessa oli suurta, mutta keskiarvo osoittaa nykyisen populaation kasvavan. Havaitsemani populaation kasvu ei selity kasvulla aikuissäilyvyydessä tai paikallisessa rekrytoinnissa. Oletan, että populaatio on ollut tulomuuton ylläpitämä nielu (tai valenielu) lähes kaikkina tutkimusvuosina. Niinpä populaatio on demografisesti ja geneettisesti riippuvainen ydinalueesta, josta tuleva geenivirta aiheuttaa ongelmia paikallisiin olosuhteisiin sopeutumisessa. Tutkin sekä talvensisäistä että talvien välistä paikkauskollisuutta suhteessa ikään, sukupuoleen, vuodenaikaan, lämpötilaan ja päivän pituuteen. Talvensisäinen liikkuvuus oli vähäisintä keskitalvella erityisesti kylmien jaksojen aikana. Tämä ilmiö on luultavasti yhteydessä energiansäästöön ja saalistajien välttelyyn näiden vaativien jaksojen aikana, jolloin energiankulutus on suurta ja valoisa ruokailuaika on lyhyt. Nuorten talvensisäinen paikkauskollisuus oli huonompi kuin aikuisten, mutta sukupuolten välillä tässä ei ollut eroa. Sen sijaan talvien välisessä paikkauskollisuudessa ei ollut ryhmien välisiä eroja, mikä viittaa paikkauskollisuudesta olevan yhtäläiset hyödyt kaikille. Nuoret luultavasti keräävät tietoa resursseista ensimmäisenä talvenaan ja täten hankkivat samat edut kuin aikuiset palatessaan alueelle seuraavana talvena. Tutkin, onko talvella lintujen ruokintapaikkoja hyödyntävien talitiaisten säilyvyydessä ympäristötekijöistä, kuten lämpötilasta, johtuvaa vaihtelua. Talvisäilyvyys vaihteli paljon etenkin tavallista kylmempänä talvena. Nuoret kärsivät eniten kylmistä lämpötiloista. Kun keskilämpötila laski –15 C&#176;:seen tai sen alapuolelle, säilyvyys alkoi heikentyä. Verrattuna kylmään talveen säilyvyys oli 1,5 kertaa todennäköisempää lauhan talven aikana. Talitiaiset näyttävät kärsivän pohjoisen kylmistä olosuhteista: korkea kuolleisuus lisää vaihtuvuutta ja geenivirtaa, kun alueelle kohdistuu voimakasta tulomuuttoa.

Killer whales are the oceans’ apex predator and are known to have important effects on ecosystems. At Subantarctic Marion Island, southern Indian Ocean, they have only been studied opportunistically, resulting in limited knowledge of their ecosystem impact here. This dissertation describes the prey and seasonal abundance, estimates the population size and assesses the predatory impact of killer whales on seals and penguins at Marion Island, using dedicated and opportunistic shore-based observations and photographic identification, from 2006 to 2009. During 823 sightings of killer whales at Marion Island (2006 to 2009) 48 predation events were recorded; in only 10 cases could prey be identified. Killer whales fed on fur seals, elephant seals and penguins. Constant effort (dedicated) observations (259 hours, 2008 to 2009) showed that killer whale abundance, which peaked in September to December with a secondary peak in April to May, is linked to the abundance of seals and penguins. Mark-recapture analyses were performed using nearly 10 000 photographs taken from 2006 to 2009. Following careful quality control criteria 37 individuals were identified and a population size of 42 (95% CI = 35-50) individuals estimated using the open population POPAN parameterization in the software program MARK. The analytical approach is more rigorous than that used in any previous population size assessment at Marion Island. Finally, the above data were integrated to assess whether top-down control of seal and penguin populations at Marion Island is generally plausible using a simple process of elimination. Based on published data I predicted the energetic ingestion requirements of adult male and female killer whales as 1 394 MJ.day-1 and 1 028 MJ.day-1, respectively. Expanding these requirements to the 37 killer whales photographically identified at Marion Island, the population requires 40 600MJ.day-1. Based on available energy density and mass data, I predicted the energy content of available seal and penguin prey and calculated the rates at which killer whales would consume these prey in various scenarios. Penguins and Subantarctic fur seals are relatively insensitive to killer whale predation owing to their large population sizes (10 000s to 100 000s), conversely, the smaller populations (100s to 1 000s) of Antarctic fur seals and southern elephant seals are sensitive to predation, particularly the latter as they have a high energy content (approximately 2 000 to 9 000 MJ). Populations of these seals are currently increasing or stable and I conclude that presently killer whale predation is not driving population declines, although they clearly have the potential for regulation of these smaller populations. Thus, if population sizes were reduced by bottom-up processes, if killer whale diet shifted, or if prey availability changed, top-down control by killer whales could become significant. This study provides baseline information for the informed management and conservation of killer whales at Marion Island, identifies avenues for further research, and provides a foundation for the continuation of structured and dedicated killer whale research at Marion Island. / Dissertation (MSc)--University of Pretoria, 2011. / Zoology and Entomology / unrestricted

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