Using global remote camera data of a solitary species complex to evaluate the drivers of group formation

The social system of animals involves a complex interplay between physiology, natural history, and the environment. Long relied upon discrete categorizations of "social" and "solitary" inhibit our capacity to understand species and their interactions with the world around them. Here, we use a globally distributed camera trapping dataset to test the drivers of aggregating into groups in a species complex (martens and relatives, family Mustelidae, Order Carnivora) assumed to be obligately solitary. We use a simple quantification, the probability of being detected in a group, that was applied across our globally derived camera trap dataset. Using a series of binomial generalized mixed-effects models applied to a dataset of 16,483 independent detections across 17 countries on four continents we test explicit hypotheses about potential drivers of group formation. We observe a wide range of probabilities of being detected in groups within the solitary model system, with the probability of aggregating in groups varying by more than an order of magnitude. We demonstrate that a species' context-dependent proclivity toward aggregating in groups is underpinned by a range of resource-related factors, primarily the distribution of resources, with increasing patchiness of resources facilitating group formation, as well as interactions between environmental conditions (resource constancy/winter severity) and physiology (energy storage capabilities). The wide variation in propensities to aggregate with conspecifics observed here highlights how continued failure to recognize complexities in the social behaviors of apparently solitary species limits our understanding not only of the individual species but also the causes and consequences of group formation.

Perception and trust influence acceptance for black bears more than bear density or conflicts

Introduction

To sustain black bear (Ursus americanus) populations, wildlife managers should understand the coupled socio-ecological systems that influence acceptance capacity for bears.

Method

In a study area encompassing a portion of New York State, we spatially matched datasets from three sources: human-bear conflict reports between 2006 and 2018, estimates of local bear density in 2017–2018, and responses to a 2018 property owner survey (n=1,772). We used structural equation modeling to test hypothesized relationships between local human-bear conflict, local bear density, and psychological variables.

Results

The final model explained 57% of the variance in acceptance. The effect of bear population density on acceptance capacity for bears was relatively small and was mediated by a third variable: perception of proximity to the effects of human-bear interactions. The variables that exerted a direct effect on acceptance were perception of bear-related benefits, perception of bear-related risks, perceived proximity to effects of human-bear interactions, and being a hunter. Perception of bear-related benefits had a greater effect on acceptance than perception of bear-related risks. Perceived proximity to effects of human-bear interactions was affected by local bear density, but also was affected by social trust. Increased social trust had nearly the same effect on perceived proximity as decreased bear density. Social trust had the greatest indirect effect on acceptance of any variable in the model.

Discussion

Findings suggest wildlife agencies could maintain public acceptance for bears through an integrated approach that combines actions to address bear-related perceptions and social trust along with active management of bear populations.

Density-habitat relationships of white-tailed deer (Odocoileus virginianus) in Finland

In heterogeneous landscapes, resource selection constitutes a crucial link between landscape and population-level processes such as density. We conducted a non-invasive genetic study of white-tailed deer in southern Finland in 2016 and 2017 using fecal DNA samples to understand factors influencing white-tailed deer density and space use in late summer prior to the hunting season. We estimated deer density as a function of landcover types using a spatial capture-recapture (SCR) model with individual identities established using microsatellite markers. The study revealed second-order habitat selection with highest deer densities in fields and mixed forest, and third-order habitat selection (detection probability) for transitional woodlands (clear-cuts) and closeness to fields. Including landscape heterogeneity improved model fit and increased inferred total density compared with models assuming a homogenous landscape. Our findings underline the importance of including habitat covariates when estimating density and exemplifies that resource selection can be studied using non-invasive methods.

Citizen Science Data Collection for Integrated Wildlife Population Analyses

Citizen science, or community science, has emerged as a cost-efficient method to collect data for wildlife monitoring. To inform research and conservation, citizen science sampling designs should collect data that match the robust statistical analyses needed to quantify species and population patterns. Further increasing the contributions of citizen science, integrating citizen science data with other datasets and datatypes can improve population estimates and expand the spatiotemporal extent of inference. We demonstrate these points with a citizen science program called iSeeMammals developed in New York state in 2017 to supplement costly systematic spatial capture-recapture sampling by collecting opportunistic data from one-off observations, hikes, and camera traps. iSeeMammals has initially focused on the growing population of American black bear (Ursus americanus), with integrated analysis of iSeeMammals camera trap data with systematic data for a region with a growing bear population. The triumvirate of increased spatial and temporal coverage by at least twofold compared to systematic sampling, an 83% reduction in annual sampling costs, and improved density estimates when integrated with systematic data highlight the benefits of collecting presence-absence data in citizen science programs for estimating population patterns. Additional opportunities will come from applying presence-only data, which are oftentimes more prevalent than presence-absence data, to integrated models. Patterns in data submission and filtering also emphasize the importance of iteratively evaluating patterns in engagement, usability, and accessibility, especially focusing on younger adult and teenage demographics, to improve data quality and quantity. We explore how the development and use of integrated models may be paired with citizen science project design in order to facilitate repeated use of datasets in standalone and integrated analyses for supporting wildlife monitoring and informing conservation.

Reserve design to optimize functional connectivity and animal density

Ecological distance-based spatial capture-recapture models (SCR) are a promising approach for simultaneously estimating animal density and connectivity, both of which affect spatial population processes and ultimately species persistence. We explored how SCR models can be integrated into reserve-design frameworks that explicitly acknowledge both the spatial distribution of individuals and their space use resulting from landscape structure. We formulated the design of wildlife reserves as a budget-constrained optimization problem and conducted a simulation to explore 3 different SCR-informed optimization objectives that prioritized different conservation goals by maximizing the number of protected individuals, reserve connectivity, and density-weighted connectivity. We also studied the effect on our 3 objectives of enforcing that the space-use requirements of individuals be met by the reserve for individuals to be considered conserved (referred to as home-range constraints). Maximizing local population density resulted in fragmented reserves that would likely not aid long-term population persistence, and maximizing the connectivity objective yielded reserves that protected the fewest individuals. However, maximizing density-weighted connectivity or preemptively imposing home-range constraints on reserve design yielded reserves of largely spatially compact sets of parcels covering high-density areas in the landscape with high functional connectivity between them. Our results quantify the extent to which reserve design is constrained by individual home-range requirements and highlight that accounting for individual space use in the objective and constraints can help in the design of reserves that balance abundance and connectivity in a biologically relevant manner.

Incorporating citizen science data in spatially explicit integrated population models

Information about population abundance, distribution, and demographic rates is critical for understanding a species' ecology and for effective conservation and management. To collect data over large spatial and temporal extents for such inferences, especially for species with low densities or wide distributions, citizen science can be an efficient approach. Integrated models have also emerged as an important methodology to estimate population parameters by combining multiple types of data, including citizen science data. We developed a spatially explicit integrated model that combines opportunistically collected presence-absence (PA) data, commonly collected in citizen science efforts, with systematically collected spatial capture-recapture (SCR) data, which are often limited to small spatial and temporal extents. We conducted single and multi-season simulations with parameters informed by North American black bear (Ursus americanus) populations, to evaluate the influence of varying amounts of opportunistic PA data collected at larger spatial and temporal extents on the estimation of population-level parameters. Integrating opportunistic PA data increased the precision and accuracy of posterior estimates of abundance, and survival and recruitment rates. In some cases, adding PA locations improved abundance estimates more than increasing PA detection probability. Posterior estimates were as precise and unbiased as when higher quality, but sparse, SCR data were available. We also applied the integrated model to SCR and citizen science PA data collected on black bears in New York, with results consistent with our simulations. Our findings indicate that citizen science in integrated models can be a cost-efficient way to improve estimates of population parameters and increase the spatiotemporal extent of inference. Continued developments with integrated models and citizen science data will offer additional ways to improve our understanding of population structure and demographics.

Integration of social and ecological sciences for natural resource decision making: challenges and opportunities

The last 25 years have witnessed growing recognition that natural resource management decisions depend as much on understanding humans and their social interactions as on understanding the interactions between non-human organisms and their environment. Decision science provides a framework for integrating ecological and social factors into a decision, but challenges to integration remain. The decision-analytic framework elicits values and preferences to help articulate objectives, and then evaluates the outcomes of alternative management actions to achieve these objectives. Integrating social science into these steps can be hindered by failing to include social scientists as more than stakeholder-process facilitators, assuming that specific decision-analytic skills are commonplace for social scientists, misperceptions of social data as inherently qualitative, timescale mismatches for iterating through decision analysis and collecting relevant social data, difficulties in predicting human behavior, and failures of institutions to recognize the importance of this integration. We engage these challenges, and suggest solutions to them, helping move forward the integration of social and biological/ecological knowledge and considerations in decision-making.

Lions and leopards coexist without spatial, temporal or demographic effects of interspecific competition

Although interspecific competition plays a principal role in shaping species behaviour and demography, little is known about the population-level outcomes of competition between large carnivores, and the mechanisms that facilitate coexistence. We conducted a multilandscape analysis of two widely distributed, threatened large carnivore competitors to offer insight into coexistence strategies and assist with species-level conservation. We evaluated how interference competition affects occupancy, temporal activity and population density of a dominant competitor, the lion (Panthera leo), and its subordinate competitor, the leopard (Panthera pardus). We collected camera-trap data over 3 years in 10 study sites covering 5,070 km² . We used multispecies occupancy modelling to assess spatial responses in varying environmental and prey conditions and competitor presence, and examined temporal overlap and the relationship between lion and leopard densities across sites and years. Results showed that both lion and leopard occupancy was independent of-rather than conditional on-their competitor's presence across all environmental covariates. Marginal occupancy probability for leopard was higher in areas with more bushy, "hideable" habitat, human (tourist) activity and topographic ruggedness, whereas lion occupancy decreased with increasing hideable habitat and increased with higher abundance of very large prey. Temporal overlap was high between carnivores, and there was no detectable relationship between species densities. Lions pose a threat to the survival of individual leopards, but they exerted no tractable influence on leopard spatial or temporal dynamics. Furthermore, lions did not appear to suppress leopard populations, suggesting that intraguild competitors can coexist in the same areas without population decline. Aligned conservation strategies that promote functioning ecosystems, rather than target individual species, are therefore advised to achieve cost- and space-effective conservation.

Large-scale variation in density of an aquatic ecosystem indicator species

Monitoring indicator species is a pragmatic approach to natural resource assessments, especially when the link between the indicator species and ecosystem state is well justified. However, conducting ecosystem assessments over representative spatial scales that are insensitive to local heterogeneity is challenging. We examine the link between polychlorinated biphenyl (PCB) contamination and population density of an aquatic habitat specialist over a large spatial scale using non-invasive genetic spatial capture-recapture. Using American mink (Neovison vison), a predatory mammal and an indicator of aquatic ecosystems, we compared estimates of density in two major river systems, one with extremely high levels of PCB contamination (Hudson River), and a hydrologically independent river with lower PCB levels (Mohawk River). Our work supports the hypothesis that mink densities are substantially (1.64-1.67 times) lower in the contaminated river system. We demonstrate the value of coupling the indicator species concept with well-conceived and spatially representative monitoring protocols. PCBs have demonstrable detrimental effects on aquatic ecosystems, including mink, and these effects are likely to be profound and long-lasting, manifesting as population-level impacts. Through integrating non-invasive data collection, genetic analysis, and spatial capture-recapture methods, we present a monitoring framework for generating robust density estimates across large spatial scales.

Estimating population density and connectivity of American mink using spatial capture-recapture

Estimating the abundance or density of populations is fundamental to the conservation and management of species, and as landscapes become more fragmented, maintaining landscape connectivity has become one of the most important challenges for biodiversity conservation. Yet these two issues have never been formally integrated together in a model that simultaneously models abundance while accounting for connectivity of a landscape. We demonstrate an application of using capture-recapture to develop a model of animal density using a least-cost path model for individual encounter probability that accounts for non-Euclidean connectivity in a highly structured network. We utilized scat detection dogs (Canis lupus familiaris) as a means of collecting non-invasive genetic samples of American mink (Neovison vison) individuals and used spatial capture-recapture models (SCR) to gain inferences about mink population density and connectivity. Density of mink was not constant across the landscape, but rather increased with increasing distance from city, town, or village centers, and mink activity was associated with water. The SCR model allowed us to estimate the density and spatial distribution of individuals across a 388 km² area. The model was used to investigate patterns of space usage and to evaluate covariate effects on encounter probabilities, including differences between sexes. This study provides an application of capture-recapture models based on ecological distance, allowing us to directly estimate landscape connectivity. This approach should be widely applicable to provide simultaneous direct estimates of density, space usage, and landscape connectivity for many species.

Elimination of alloantibodies by immunoablative high-dose cyclophosphamide

BACKGROUND

Alloimmunization is a major problem for patients being considered for solid organ transplantation and in patients who require blood transfusion support. We previously demonstrated that high-dose cyclophosphamide (200 mg/kg) without hematopoietic stem cell transplantation leads to durable complete remissions in aplastic anemia and other autoimmune disorders. We now examine the ability of high-dose cyclophosphamide to eliminate alloreactivity.

METHODS

IgG-specific antibodies to HLA class I were assayed using enzyme-linked immunosorbent assays in 18 consecutive patients with severe aplastic anemia before and after treatment with high-dose cyclophosphamide.

RESULTS

Anti-HLA antibodies were detected before or shortly after therapy in 5 of the 18 patients studied. Complete remission of aplastic anemia was achieved in four of these five patients. High-dose cyclophosphamide markedly reduced anti-HLA antibody titers in these four patients; they were completely eradicated in three patients. Only one patient did not achieve significant reduction in the alloantibody titer after high-dose cyclophosphamide.

CONCLUSIONS

High-dose cyclophosphamide without stem cell transplantation can eradicate HLA-specific alloantibody.

Acute bleeding and thrombocytopenia after bone marrow transplantation

The relationship between hemorrhage and low platelet count was first established in patients with acute leukemia, and has been widely applied to thrombocytopenic patients, including BMT patients. Yet, the role of thrombocytopenia in bleeding post BMT has not been systematically studied. We evaluated the risk of bleeding and outcome associated with thrombocytopenia in BMT patients who had prophylactic platelet transfusions at a trigger of 20 x 10(9)/l. Thrombocytopenia was investigated in 321 patients with moderate or severe bleeding (BLD), and in a matched comparison group of 287 patients who did not bleed (NBLD). Profound thrombocytopenia (< or = 10 x 10(9)/l) was found in 8.6% of the BLD patients during the week before the bleeding onset, significantly more frequent than in NBLD patients (2.1% to 4%, P < 0.02), during weeks 2 to 6 post BMT (the period when 75% of the bleeding initiated). On the first day of bleeding, platelet counts < or = 10 x 10(9)/l were found in 13.5%, 11-20 x 10(9)/l in 20.4%, and > 20 x 10(9)/l in 66.1% of all episodes. Overall survival in BLD patients was not associated with the severity of thrombocytopenia before bleeding onset. Severity of thrombocytopenia was significantly associated with reduced survival in NBLD patients. We concluded that bleeding post BMT was significantly associated with thrombocytopenia, but the attributable risk of bleeding from profound thrombocytopenia was not large. Thrombocytopenia may be an important clinical sign in NBLD patients, and should be further explored in relation to acute toxicities other than bleeding.

Acute bleeding after allogeneic bone marrow transplantation: association with graft versus host disease and effect on survival

BACKGROUND

Hemorrhagic complications are frequently implicated clinically for the high morbidity and mortality of acute graft versus host disease (GVHD), however, only few reports characterize the incidence and timing of bleeding in relation to GVHD, and essentially no study has quantified the effect of bleeding on survival of allogeneic patients with GVHD. This study examines the association of bleeding with acute GVHD and the effect of both complications on survival.

METHODS

A total of 463 allogeneic patients transplanted at the Johns Hopkins Hospital, were included in the study. Bleeding evaluation was based on daily scores of intensity and blood transfusions. All bleeding sites were recorded. GVHD staging was defined by the extent of rash, serum bilirubin, diarrhea, and confirmatory histology.

RESULTS

The incidence of GVHD was 27.4%, bleeding occurred in 40.2%. The incidence of bleeding was higher in patients with GVHD as compared with non-GVHD, and correlated with GVHD severity. The higher bleeding incidence in GVHD was due to gastrointestinal hemorrhage, hemorrhagic cystitis, and pulmonary hemorrhage. While the majority of bleeding (51/75) in non-GVHD patients initiated within 30 days after bone marrow transplantation (BMT), only 32.3% (21/65) of the bleeding in the GVHD group initiated within 30 days, and the risk for bleeding continued until day 100. Bleeding was a late event compared to GVHD, however, most bleeding episodes were associated with active GVHD. Both GVHD and bleeding were individually associated with reduced survival, with profound additive adverse effect: median survival in 221 nonbleeding non-GVHD was >83.2 months, GVHD nonbleeding (39 patients) had median of 10.6 months, bleeding non-GVHD (99 patients) had median of 4.3 months, and median survival of the GVHD bleeding group (85 patients) was 3.2 months.

CONCLUSIONS

Our results support an association of bleeding with acute GVHD, suggesting that GVHD is a risk factor for bleeding after BMT. The occurrence of bleeding clearly identified poor outcome subgroup within GVHD, suggesting further evaluation for clinical application of bleeding in the assessment of GVHD severity.

Acute bleeding after bone marrow transplantation (BMT)- incidence and effect on survival. A quantitative analysis in 1,402 patients

Acute bleeding after bone marrow transplantation (BMT) was investigated in 1,402 patients receiving transplants at Johns Hopkins Hospital between January 1, 1986 and June 30, 1995. Bleeding categorization was based on daily scores of intensity used by the blood transfusion service. Moderate and severe episodes were analyzed for bleeding sites. Analysis of the cause of death and the interval of the bleeding episode to outcome endpoints was recorded. Survival estimates were computed for 1,353 BMT patients. The overall incidence was 34%. Minor bleeding was seen in 10.6%, moderate bleeding was seen in 11.3%, and severe bleeding was seen in 12% of all patients. Fourteen percent of patients had moderate or severe gastrointestinal hemorrhage, 6.4% had moderate or severe hemorrhagic cystitis, 2.8% had pulmonary hemorrhage, and 2% had intracranial hemorrhage. Sixty-one percent had 1 bleeding site and 34.4% had more than 1 site. Moderate and severe bleeding was more prevalent in allogeneic (31%) and unrelated patients (62.5%) compared with autologous patients (18.5%). Significant distribution of incidence was found among the different diagnoses, but not by disease status in acute myeloid leukemia, acute lymphoblastic leukemia, chronic myelogenous leukemia, Hodgkin's disease, and non-Hodgkin's lymphoma. Bleeding was associated with significantly reduced survival in allogeneic, autologous, and unrelated BMT and in each disease category except multiple myeloma. Survival was correlated with the bleeding intensity, bleeding site, and the number of sites. Although close temporal association was evident to mortality, bleeding was recorded as the cause of death in only the minority of cases compared with other toxicities after BMT (graft-versus-host disease, infections, and preparative regimen toxicity). Acute bleeding is a common complication after BMT that is profoundly associated with morbidity and mortality. Although bleeding was not a direct cause of death in the majority of cases, it has a potential prognostic implication as a predictor of poor outcome in clinical assessment of patients after BMT.

Predicting the DSM-V

Using regression estimates based upon data about past editions of the DSM, we predict various features of the DSM-V. Included in these predictions are the date of publication, number of pages, total number of categories, number of categories defined using diagnostic criteria, total number of diagnostic criteria, color of the manual, who will be in charge of the task force that creates the DSM-V, and revenues generated by the DSM-V. This article ends with comments on the changes in the editions of the DSMs and an analogy to the Sorcerer's Apprentice.

A test of exercise analgesia using signal detection theory and a within-subjects design

Evidence for the existence of exercise-induced analgesia has been weak, inconsistent, or anecdotal. The present study addresses criticisms of previous research by using a signal-detection analysis of pain perception in a within-subjects, repeated-measures research design with 22 endurance athletes who exercised in a naturalistic setting. Analysis showed discriminability measures from the lower intensities of a radiant-heat pain-perception task were significantly lower after exercise than the subjects' discriminability after a no-exercise period. This is consistent with discriminability decreases seen in studies of subjects who are under the influence of analgesic chemicals such as morphine and nitrous oxide. Discriminability differences were not seen in this study at the higher intensities of the stimulus, suggesting that exercise generates perceptual changes that may not reach pain-mediating levels. Visual analogue data suggest cognitive and motivational factors also play a role in report of pain after exercise.

Personality disorders: an overview for the physician

Personality disorders are common clinical syndromes that often go unrecognized in medical practice. Because patients with personality disorders receive care in all clinical settings, physicians could profit from a heightened awareness of the personality psychopathology of their patients and its impact on medical practice. Personality traits are universal and describe the "normal" range of behavior, while personality disorders are characterized by enduring maladaptive patterns. The etiology of personality disorders is multifactorial. Physician awareness of the multiple manifestations of specific personality disorders is helpful in matching the proper interventions to appropriate patients. Although management is symptomatically palliative rather than curative, physicians and patients alike can benefit from appropriate recognition and treatment of personality disorders.

Sadistic and self-defeating personality disorder criteria in a rural clinic sample

A sample of 176 outpatients at a mental health clinic in rural southern Georgia were rated for the presence or absence of the DMS-III-R sadistic and self-defeating personality disorder criteria. On the basis of these ratings, 48 patients met the criteria for sadistic (n = 14) and self-defeating (n = 41). Surprisingly, half of the patients who met the sadistic criteria also fulfilled the self-defeating criteria. A factor analysis failed to divide the criteria cleanly into sadistic and self-defeating subsets.

Physical and psychosocial correlates of test-retest isometric torque variability in patients with chronic low back pain

Variability in trunk torque production has been suggested as a means of detecting submaximal effort in the assessment of chronic low back pain. Several investigations question the validity of using torque variability to detect submaximal efforts in patients with back injuries. However, few investigations have studied the correlates of text-retest torque variability in clinical populations. The present study investigated psychological distress, disability/flexibility/pain, and symptom magnification correlates of test-retest torque variability in chronic low back pain patients. Contrary to previous studies, psychological distress, tendency to report symptoms, and pain were negatively correlated with measures of torque variability. The findings indicate the potential for psychological variables to influence torque production, but on the whole provide little strong support for the use of test-retest torque variability as a means of detecting submaximal performance.

Septic reactions to platelet transfusions. A persistent problem

OBJECTIVE

To determine the medical and laboratory characteristics of bacteremia secondary to transfusion of microbiologically contaminated platelet concentrates.

DESIGN

Febrile transfusion reactions were prospectively monitored over 42 months. Units involved in reactions were evaluated with Gram's stain and culture tests.

SETTING

Comprehensive cancer center.

PATIENTS

Patients receiving platelet transfusions for thrombocytopenia secondary to bone marrow failure.

RESULT

Seven cases of transfusion-associated sepsis were observed. Multidonor platelet products stored for 5 days resulted in an incidence of sepsis five times higher than those stored for 4 days or less (P less than .01). Investigation indicates that contamination most likely occurred at the time of blood collection. Clinically, septic reactions were associated with greater temperature elevations (average increase, 2.0 degrees C) than febrile reactions to sterile products.

CONCLUSIONS

Contamination of platelet concentrates remains a significant clinical problem. Septic episodes may be reduced by transfusion of platelets with shorter storage intervals.

Suggested guidelines for including or excluding categories in the DSM-IV

A set of guidelines is proposed for the possible inclusion or exclusion of diagnostic categories in the DSM-IV. For possible inclusion, a new category should meet all of the following five guidelines: adequate literature, specified diagnostic criteria, acceptable interclinician reliability, evidence that the criteria forms a syndrome, and differentiation from other categories. For possible exclusion, a category should possess an inadequate literature, extremely low coverage, or evidence of diagnostic bias. None of the exclusionary guidelines would be invoked if the category refers to a demonstrable disease.

Masochistic personality disorder. A prototype analysis of diagnosis and sex bias

The Work Group of the American Psychiatric Association to revise DSM-III in 1985 proposed a new personality disorder titled Masochistic Personality Disorder (MPD). This study concerns the clinical relevance and possible sex bias of MPD. The study was performed with clinicians who analyzed 15 case histories, five of which represented masochistic personality. The results led to the rejection of two hypotheses: a) masochistic personalities can be subsumed under existing DSM-III categories and b) there is a sex bias in the diagnostic use of MPD.