Article

A Growing Conspiracy: Recolonization of Common Ravens (Corvus corax) in Central and Southern Appalachia, USA

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Abstract

Corvus corax (Common Raven, hereafter Raven) was historically ubiquitous throughout much of North America, but persecution and habitat loss after European settlement resulted in range reduction and population decline across much of the eastern US. Increasing numbers of confirmed sightings of Ravens in the eastern US over the past 70 years suggest rapid regional recolonization, particularly in central and southern Appalachia where, in many states, Ravens were thought to be extirpated or at least highly range-restricted. We compiled 64,611 Raven observations from multiple public and private sources across Appalachia between 1950 and 2016 and performed spatial analyses to characterize regional recolonization trends. The Appalachian Mountain range has served as both a refugium for Ravens during the late 19th and early 20th centuries and a regional source population for range expansion between 1950 and 2016. Ravens are now common in the mountainous areas of Appalachia and have recently expanded their range into lower elevations, including the successful recolonization of 4 states: Alabama, Kentucky, Ohio, and Tennessee. Spatial analyses demonstrated a 40% increase in the Raven’s apparent geographic range in central and southern Appalachia, which now spans at least 470,380 km2. We present an updated map detailing current Raven distributions in central and southern Appalachia and review potential habitat, interspecific, and trophic factors aiding range expansion for Ravens.

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... Although common in the western United States, raven populations across the eastern United States had dwindled by the early to mid-20th century, and ravens in the Appalachian Mountains were restricted to remote refugia, often at high elevations (Harlow, 1922;Hooper, 1977). During the latter half of the 20th century, the raven's geographic range in the eastern United States expanded, and ravens in the Central and Southern Appalachians became increasingly common (Boarman & Heinrich, 2020;Hackworth et al., 2019). Recovery has been attributed to enforcement of wildlife protection mandates, forest regeneration, increased availability of carrion sources arising from the recovery of white-tailed deer (Odocoileus virginianus, Zimmermann) populations across the eastern United States and introduction of elk (Cervus canadensis, Erxleben) in some areas, and the decline in the popularity of hunting American crow (Boarman & Heinrich, 2020;Cox et al., 2003;Hackworth et al., 2019). ...
... During the latter half of the 20th century, the raven's geographic range in the eastern United States expanded, and ravens in the Central and Southern Appalachians became increasingly common (Boarman & Heinrich, 2020;Hackworth et al., 2019). Recovery has been attributed to enforcement of wildlife protection mandates, forest regeneration, increased availability of carrion sources arising from the recovery of white-tailed deer (Odocoileus virginianus, Zimmermann) populations across the eastern United States and introduction of elk (Cervus canadensis, Erxleben) in some areas, and the decline in the popularity of hunting American crow (Boarman & Heinrich, 2020;Cox et al., 2003;Hackworth et al., 2019). Although raven populations have increased in recent decades, the species remains patchily distributed across the eastern United States and rare or absent in many localities. ...
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Common ravens (Corvus corax) inhabited much of the eastern United States prior to European colonization but were nearly extirpated by the mid‐1900s. Although remnant raven populations have since begun recolonizing portions of their historic range in the eastern United States, the extent of recovery remains largely unknown because of the species' elusive behavior. To aid development of targeted monitoring programs for this rare and cryptic species, we investigated factors that may influence detectability of ravens in natural cliff habitat during the nesting season in the Central Appalachian Mountains. Using a time‐to‐detection framework, we performed surveys at cliff sites with positive raven occupancy and recorded time to first detection (TFD) and confirmed cliff occupancy (i.e., occupied detection) to estimate detection probability curves as a function of survey time. We further compared multiscale habitat features of occupied and unoccupied cliff sites to characterize regional nesting habitat. Mean TFD at occupied cliffs was 14 ± 2 (SE) min. The TFD and subsequent detection probability increased with warming temperatures, likely as a result of heightened activity at nests as the reproductive season progressed. Shorter distances from observation point to the surveyed cliff resulted in longer TFD, indicating that ravens are likely sensitive to disturbance at nest sites. Analysis of cliff‐nesting habitat data identified raven selection of cliffs with large, exposed faces positioned on predominant west‐facing aspects. Mean detection probability calculated from detectability curves was ≥0.8 after the first 30 min. Using a probability‐based model and empirical detection probabilities, we estimated that raven absence from a cliff site during the nesting season may be inferred with p = 0.99 after three independent 30‐min surveys. Although ravens have been considered elusive and rare in the eastern United States, we find that their detectability at occupied cliff sites during the nesting season is relatively high and that observation of distributional changes may be easier for this species than for other, more cryptic birds.
... However, only 2 of the 44 species documented in downtown Rockingham during winter 2021-2022 have shifted their winter ranges to include Rockingham. The Fish Crow and Common Raven have had regional range expansions (Hackworth et al. 2019, LeGrand et al. 2023, McNair 1987, Seriff 2018) that have reached Rockingham. These now sympatric large-bodied omnivores have become uncommon during winter, over the past 3 decades for Fish Crow and since 2018 for Common Raven (3 spring records of 1-2 birds in late April of 2018April of , 2021April of , and 2022D.B. ...
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I conducted a winter bird population study (WBPS) in a commercial district of downtown Rockingham, NC. I recorded 44 avian species (40 native suburban adapters, 4 exotic urban invaders) over 10 surveys conducted 20 December 2021 to 19 January 2022 within a 42.4-ha plot containing 25 city blocks. Thirty-one species (including all exotic urban invaders) were residents (74% of observations), whereas 13 native species were winter visitors (26%). Average winter bird species richness was 22.8 and average abundance was 143.5/40 ha. The median difference in species richness and abundance of suburban adapters was greater than exotic urban invaders among all 25 blocks, except species richness in 1 block and abundance in 4 blocks. A vegetation index (measure of the amount of vegetation) was a positive predictor of species richness for all suburban adapters and abundance for 3 species of suburban adapters (Mimus polyglottos [Northern Mockingbird], Cardinalis cardinalis [Northern Cardinal], Thryothorus ludovicianus [Carolina Wren]). Building area was a negative predictor of species richness for all suburban adapters and abundance for Northern Mockingbird. Average abundance was lower than the number of blocks in which each species was detected, except for the 3 most abundant birds (Passer domesticus [House Sparrow], Sturnus vulgaris [European Starling], Zonotrichia albicollis [White-throated Sparrow]) and Bombycilla cedrorum (Cedar Waxwing), all flocking species. Two exotic urban invaders (House Sparrow, European Starling) and 4 suburban adapters (Northern Mockingbird, Northern Cardinal, Carolina Wren, Zenaida macroura [Mourning Dove]) were also among the most abundant species (i.e., those whose average counts were ≥5 birds) and were resident species that nested within the plot the previous breeding season. The degree of compositional change of the avian community during early winter 2021-2022 compared to the last 3 decades was low in downtown Rockingham, NC.
... [20], but PA is generally less common in CS data. The recent development of statistical techniques to estimate occupancy, especially those that account for imperfect detection, has contributed to the increasing use of PA data to infer the spatial distribution of species [79,83,84]. Hence, this development would explain the increasing use of PA data obtained from CS databases. ...
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Steady technological advancements including subminiaturization of telemetry components, smaller and more accurate global positioning systems (GPSs), and increasingly available geographic information systems (GISs) continue to influence the way researchers collect and analyze wildlife radio-tracking data. These developments have increased the diversity of animals that can be studied and have boosted the number and accuracy of location estimates, within a framework of contemporary conservation issues. This chapter conducts a literature review using the Wildlife Worldwide (WW) database to assess the specific topics and number of studies using radiotelemetry in wildlife research. Databases within the WW search engine include Wildlife Review Abstracts (formerly Wildlife Review), Swiss Wildlife Information Service, Wildlife Database, BIODOC, and the Waterfowl and Wetlands database. The most critical assumption in any radiotelemetry study is that the transmitter has no appreciable effect on the study animal. One can assume that a marked animal behaves, functions, and survives in a manner similar to that of an unmarked animal. Despite this critical assumption, the impact of radio marking of animals has often been subjectively evaluated. Generally, researchers assume that large animals are not affected by radio marking, whereas smaller animals, particularly birds, are impacted more.
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In the boreal forest region, partial-harvest silviculture has been garnering increasing interest as a means of maintaining wildlife species and habitat structure associated with late-successional forests. If late-successional species can find suitable habitat in partially harvested stands with a given level of structural retention, then partial harvesting might represent a viable silvicultural tool for maintaining wildlife dependent on mature or old-forest habitat within managed stands over time. Here we summarize literature on the responses of late-successional amphibians, birds, and mammals in Ontario's boreal region to various intensities of partial harvesting. We assess species responses from comparisons of habitat use in harvested and unharvested stands; we do not explicitly consider impacts of partial harvesting applied over large areas across the landscape. At the stand scale, light-intensity harvesting (70% retention) negatively affects several passerine birds, as well as spruce grouse winter habitat, but most late-successional species (including all mammals and amphibians considered) appear to be tolerant of this level of habitat alteration. Moderate-intensity harvesting (50% retention) was found to reduce the abundance of about 40% of the species considered, particularly cavity- and snag-dependent species (martens, northern flying squirrels, owls) and passerine birds that forage or nest in the canopy and understory. Highintensity (30% retention) partial harvesting was found to provide unsuitable habitat for about one quarter of all late-successional species, including most forest raptors, pileated and black-backed woodpeckers, brown creepers, northern flying squirrels, and woodland caribou. Also, studies indicate that additional passerine bird species would decrease in abundance, as would small, moisture-dependent, terrestrial species such as short-tailed shrews, red-backed voles, and eastern red-backed salamanders. There is a need to strengthen our understanding of responses to partial harvesting for nonpasserine birds and large mammals, and to verify species responses through experimental studies within Ontario's boreal region.
Article
(1) The breeding raven population of southern Scotland and Northumberland was formerly (pre-1960) characterized by year-to-year stability in both numbers and distribution. The 123 known pairs occupied traditional nest-sites on cliffs or trees. Breeding density was correlated with altitude (greatest on high ground) and land productivity (greater on base-poor granite than on sedimentary rocks). This was probably linked with a greater availability of sheep carrion on high ground and base-poor ground. (2) The breeding population has been declining since the 1960s, and in 1974-5 only 55% of former regular nesting areas were still occupied, with breeding pairs reduced to 44%. This was mainly associated with the afforestation of former sheepwalk. The argument is based on a geographical parallel (greatest decline in areas with most afforestation), and on a temporal parallel (desertion of particular nesting areas coincident with planting in the area surrounding the nest sites). (3) The level of afforestation at which ravens deserted varied between nesting areas. Probably it depended on the overall quality of the original habitat, and the alternative food sources available: good habitat could take more afforestation before it became untenable than could poor habitat. (4) Not all desertion of nesting areas could be attributed to afforestation: four raven pairs were dispossessed from cliff nest-sites by golden eagles which recolonized southern Scotland over the period considered, and at least five other pairs by rock climbers. Sheep management also improved over the years, and may have contributed to the desertion of some marginal nesting areas, by leading to a reduction in the amount of carrion available. Organo-chlorine compounds and persecution are unlikely to have been involved in the decline. (5) In the Lake District, a comparable hill area with practically no afforestation, there was no decline in the numbers of breeding ravens over the same period. (6) Among the pairs studied in 1974-6, those occupying the most heavily afforested ground showed more non-breeding, and produced later, smaller broods than did those on less afforested ground. Those nesting areas still occupied and where more than 25% of former sheepwalk within 5 km had been afforested, produced later and smaller broods than they did before afforestation. (7) To judge from pellets, sheep carrion formed a major part of the diet, but a great variety of other foods available from grassland was also eaten. The percentage frequency of sheep remains in pellets declined significantly with increasing afforestation in the area around the nest-sites. (8) The prediction is made of a further decline in raven breeding numbers if blanket afforestation continues to expand over former upland sheepwalk.
Article
Four previously unreported records of Castoroides provide sup-portive evidence that the giant beaver probably occurred through-out the southeastern United States, especially along the middle stretch of the Tennessee River. A distal section of an upper right incisor and an incisor fragment of the extinct Pleistocene giant beaver, Castoroides, were recovered from Bell Cave, Colbert County, Alabama. Cave ACb-3, also in Colbert County and con-taining an extensive deposit of late Pleistocene megafauna, yielded a single incisor enamel fragment. A fragment of a left ilium of this beaver was found in a dry stream bed in Ruby Falls Cave, Lookout Mountain, Hamilton County, Tennessee. These four specimens are referred to Castoroides sp. A relatively complete skull of Castoroides has been recovered from the Cooper River, near Strawberry Hill, Charleston County, South Carolina. The cranial characters of this specimen make it referable to Castoroides leiseyorum Morgan and White, 1995, which was described from the Irvingtonian Leisey Shell Pit, Hills-borough County, Florida. The taxonomy of Castoroides from the southeastern United States is uncertain, and at least two different interpretations are possible.
Article
The Common Raven (Corvus corax) inhabits a region 80-160 km wide extending along the Appalachian Mountains from northern Georgia to north- ern Pennsylvania. The raven is generally described in the regional literature as a wary species that avoids man and his activities by nesting on cliffs in remote mountainous areas at high elevations (Harlow 1922, Murray 1949, Stupka 1963:101-103, and others). A species with these characteristics could be seriously disadvantaged by intensive use of the southern Appalachians for recreation and raw materials. This study was conducted to better define the ecological latitude in which the raven exists in a portion of the southern Appalachians. Study area.-The study was conducted northwest of Radford, Salem, and Lexington, and southeast of the West Virginia state line. Quartzite cliffs occur on ridges and in water gaps. Shale cliffs are usually adjacent to streams. Limestones and dolomites form bluffs on the Maury and New rivers. Valley elevations are 275-305 m on the James River and 470-538 m on the New River, while ridges rise to 1318 m above sea level. Over 85% of the study area is forest and the remainder is pasture and urban area. Mountain slopes are forested with mixtures of oaks (Q~ercus spp.) and other hardwoods. Xeric ridges are covered in Virginia, Table Mountain and pitch pine (Pinus virginiana, P. p~ngens, and P. rigida). Mesic ravines are forested with hemlock (Tsuga canadensis) ,
Article
The current breeding ranges of Buzzards Buteo buteo and Ravens Corvus corax in Britain are restricted to the west, and both are relics of former widespread but not necessarily even distributions. Moore (1957) attributed the Buzzard's contraction in range to persecution by gamekeepers, his evidence being the complementary nature of the Buzzard's distribution with those of gamekeepers in the lowlands and grouse moors in the uplands; others have attributed the Raven's decline to the same cause. Is Moore correct and, if so, are these species' ranges still limited by persecution? Here we adopt an approach similar to Moore's, whereby we compare the current geographical patterns of abundance of Buzzards and Ravens in the British uplands with that of an index of grouse moor density. Unlike Moore, however, we take into account climate, land cover, topography and sheep stocking density, as well as grouse moor distribution, using multiple logistic regression modelling. We show that in the uplands the distribution of grouse moors strongly limits that of Buzzards and Ravens but are unable to conclude that this is a result of persecution because there are several competing hypotheses (moor management, food and nest-site availability) between which we are unable to distinguish.
Article
The names of native wildlife species are attached to thousands of landmarks throughout the United States. We used a U.S. Geological Survey online database to assess the abundance, distribution, density, and historical range fidelity of 24 faunal place names within the continental United States and Alaska. Our search generated over 35,000 faunal place names distributed across 49 states, with overall highest densities in mountainous regions. The distribution of place names corroborates the familiar pattern of range constriction characteristic of many species during the past century. Place names of range-limited species demonstrated strong fidelity to historical ranges. The spatial patterns of faunal place names are important indicators of a species' historical distribution. Furthermore, these place names reflect culturally important connections between humans and native fauna. Prudent analysis of place names may provide important biogeographical information for maintaining or restoring species and habitat components, although its utility will likely be limited to large, charismatic species.
Article
Abstract Aim To investigate the information content of place-names regarding the habits, habitat and biogeography of ravens in Britain over the past millennium. Location England, Scotland and Wales. Methods Linguistic and ecological analysis of over 400 British place-names that have a putative ‘raven’ derivation. Results Most of the ‘raven’ place-names are Old English in origin. Some of these (a minority), however, derive from personal names. The derivations of most names reflect landscape rather than man-made features; the majority relating to high, craggy ground or coastal features, a minority to wooded situations or human habitations. In lowland Scotland and the Scottish borders the colloquial name corbie dominates ‘raven’ place-names, perhaps reflecting French influence. In the Highlands and the Western Isles the Gaelic fitheach and its derivatives are predominant. Relatively fewer place-names that have ‘raven’ roots have been educed in other parts of the Celtic West, i.e. Wales and Cornwall (only one traced in the latter). Main conclusions Comparison of the geographical distribution of ‘raven’-derived place-names with the present-day distribution of the species in Britain reveals the extent of the contraction in the raven's range to the West over historical time, most notably during theprevious two centuries, associated with changed land-management practices in particular.
Article
1. Trends of animal populations are of great interest in ecology but cannot be directly observed owing to imperfect detection. Binomial mixture models use replicated counts to estimate abundance, corrected for detection, in demographically closed populations. Here, we extend these models to open populations and illustrate them using sand lizard Lacerta agilis counts from the national Dutch reptile monitoring scheme. 2. Our model requires replicated counts from multiple sites in each of several periods, within which population closure is assumed. Counts are described by a hierarchical generalized linear model, where the state model deals with spatio-temporal patterns in true abundance and the observation model with imperfect counts, given that true state. We used WinBUGS to fit the model to lizard counts from 208 transects with 1–10 (mean 3) replicate surveys during each spring 1994–2005. 3. Our state model for abundance contained two independent log-linear Poisson regressions on year for coastal and inland sites, and random site effects to account for unexplained heterogeneity. The observation model for detection of an individual lizard contained effects of region, survey date, temperature, observer experience and random survey effects. 4. Lizard populations increased in both regions but more steeply on the coast. Detectability increased over the first few years of the study, was greater on the coast and for the most experienced observers, and highest around 1 June. Interestingly, the population increase inland was not detectable when the observed counts were analysed without account of detectability. The proportional increase between 1994 and 2005 in total lizard abundance across all sites was estimated at 86% (95% CRI 35–151). 5.Synthesis and applications. Open-population binomial mixture models are attractive for studying true population dynamics while explicitly accounting for the observation process, i.e. imperfect detection. We emphasize the important conceptual benefit provided by temporal replicate observations in terms of the interpretability of animal counts.
Article
In this paper kernel methods for the nonparametric estimation of the utilization distribution from a random sample of locational observations made on an animal in its home range are described. They are of flexible form, thus can be used where simple parametric models are found to be inappropriate or difficult to specify. Two examples are given to illustrate the fixed and adaptive kernel approaches in data analysis and to compare the methods. Various choices for the smoothing parameter used in kernel methods are discussed. Since kernel methods give alternative approaches to the Anderson (1982) Fourier transform methods, some comparisons are made.
Article
Observation or sampling error in population monitoring can cause serious degradation of the inferences, such as estimates of trend or risk, that ecologists and managers frequently seek to make with time-series observations of population abundances. We show that replicating the sampling process can considerably improve the information obtained from population monitoring. At each sampling time the sampling method would be repeated, either simultaneously or within a short time. In this study we examine the potential value of replicated sampling to population monitoring using a density-dependent population model. We modify an existing population time-series model, the Gompertz state-space model, to incorporate replicated sampling, and we develop maximum-likelihood and restricted maximum-likelihood estimates of model parameters. Depending on sampling protocols, replication may or may not entail substantial extra cost. Some sampling programs already have replicated samples, but the samples are aggregated or pooled into one estimate of population abundance; such practice of aggregating samples, according to our model, loses considerable information about model parameters. The gains from replicated sampling are realized in substantially improved statistical inferences about model parameters, especially inferences for sorting out the contributions of process noise and observation error to observed population variability.
Article
Species’ assessments must frequently be derived from opportunistic observations made by volunteers (i.e., citizen scientists). Interpretation of the resulting data to estimate population trends is plagued with problems, including teasing apart genuine population trends from variations in observation effort. We devised a way to correct for annual variation in effort when estimating trends in occupancy (species distribution) from faunal or floral databases of opportunistic observations. First, for all surveyed sites, detection histories (i.e., strings of detection–nondetection records) are generated. Within-season replicate surveys provide information on the detectability of an occupied site. Detectability directly represents observation effort; hence, estimating detectablity means correcting for observation effort. Second, site-occupancy models are applied directly to the detection-history data set (i.e., without aggregation by site and year) to estimate detectability and species distribution (occupancy, i.e., the true proportion of sites where a species occurs). Site-occupancy models also provide unbiased estimators of components of distributional change (i.e., colonization and extinction rates). We illustrate our method with data from a large citizen-science project in Switzerland in which field ornithologists record opportunistic observations. We analyzed data collected on four species: the widespread Kingfisher (Alcedo atthis) and Sparrowhawk (Accipiter nisus) and the scarce Rock Thrush (Monticola saxatilis) and Wallcreeper (Tichodroma muraria). Our method requires that all observed species are recorded. Detectability was <1 and varied over the years. Simulations suggested some robustness, but we advocate recording complete species lists (checklists), rather than recording individual records of single species. The representation of observation effort with its effect on detectability provides a solution to the problem of differences in effort encountered when extracting trend information from haphazard observations. We expect our method is widely applicable for global biodiversity monitoring and modeling of species distributions. Resumen: Las evaluaciones de especies frecuentemente deben ser derivadas de observaciones oportunistas de voluntarios (i.e., científicos ciudadanos). La interpretación de los datos resultantes para estimar las tendencias poblacionales está plagada de problemas, incluyendo la distinción entre las tendencias poblacionales genuinas y las variaciones en el esfuerzo de observación. Diseñamos un método para corregir la variación anual en el esfuerzo en la estimación de las tendencias en la ocupación (distribución de especies) a partir de bases de datos de observaciones oportunistas de fauna o flora. Primero, se generan historias de detección para todos los sitios muestreo (i.e., cadenas de registros de detección-no detección). Muestreos intraestacionales replicados proporcionan información sobre la detectabilidad de un sitio ocupado. La detectabilidad representa el esfuerzo de observación directamente; por lo tanto, la estimación de la detectabilidad significa la corrección del esfuerzo de observación. Segundo, los modelos de ocupación de sitios son aplicados directamente al conjunto de datos de la historia de detección (i.e., sin agregación por sitio y año) para estimar la detectabilidad y distribución de especies (ocupación, i.e., la proporción real de sitios donde ocurre una especie). Los modelos de ocupación de sitios también proporcionan una estimación no sesgada de los componentes de un cambio en la distribución (i.e., tasas de colonización y extinción). Ilustramos nuestro método con datos de un proyecto de ciencia ciudadana en Suiza en el cual ornitólogos de campo registran observaciones oportunistas. Analizamos datos recolectados para cuatro especies: Alcedo atthis y Accipiter nisus ampliamente distribuidas y Monticola saxatilis y Tichodroma muraria que son escasas. Nuestro método requiere que todas las especies observadas sean registradas. La detectabilidad fue <1 y varió a lo largo de los años. Las simulaciones sugirieron alguna robustez, pero propugnamos que se elaboren listas de especies completas (listas de control), en lugar de registrar observaciones individuales de una sola especie. La representación del esfuerzo de observación con su efecto sobre la detectabilidad proporciona una solución al problema de diferencias en el esfuerzo cuando se extrae información de tendencias a partir de observaciones casuales. Consideramos que nuestro método es ampliamente aplicable al monitoreo de la biodiversidad global y al modelado de la distribución de especies.