scholarly journals Hurricane-induced demographic changes in a non-human primate population

2020 ◽  
Vol 7 (8) ◽  
pp. 200173
Author(s):  
Dana O. Morcillo ◽  
Ulrich K. Steiner ◽  
Kristine L. Grayson ◽  
Angelina V. Ruiz-Lambides ◽  
Raisa Hernández-Pacheco
Keyword(s):  
Population Level ◽  
Matrix Population Models ◽  
Individual Level ◽  
Animal Populations ◽  
Level Data ◽  
Climatic Event ◽  
Free Ranging ◽  
Human Primate ◽  
Population Fitness

Major disturbance events can have large impacts on the demography and dynamics of animal populations. Hurricanes are one example of an extreme climatic event, predicted to increase in frequency due to climate change, and thus expected to be a considerable threat to population viability. However, little is understood about the underlying demographic mechanisms shaping population response following these extreme disturbances. Here, we analyse 45 years of the most comprehensive free-ranging non-human primate demographic dataset to determine the effects of major hurricanes on the variability and maintenance of long-term population fitness. For this, we use individual-level data to build matrix population models and perform perturbation analyses. Despite reductions in population growth rate mediated through reduced fertility, our study reveals a demographic buffering during hurricane years. As long as survival does not decrease, our study shows that hurricanes do not result in detrimental effects at the population level, demonstrating the unbalanced contribution of survival and fertility to population fitness in long-lived animal populations.

scholarly journals Hurricane-induced demographic changes in a nonhuman primate population

2020 ◽  
Author(s):  
Dana O. Morcillo ◽  
Ulrich K. Steiner ◽  
Kristine L. Grayson ◽  
Angelina V. Ruiz-Lambides ◽  
Raisa Hernández-Pacheco
Keyword(s):  
Nonhuman Primate ◽  
Population Level ◽  
Matrix Population Models ◽  
Individual Level ◽  
Animal Populations ◽  
Level Data ◽  
Climatic Event ◽  
Free Ranging ◽  
Population Fitness

AbstractMajor disturbance events can have large impacts on the demography and dynamics of animal populations. Hurricanes are one example of an extreme climatic event, predicted to increase in frequency due to climate change, and thus expected to be a considerable threat to population viability. However, little is understood about the underlying demographic mechanisms shaping population response following these extreme disturbances. Here, we analyze 45 years of the most comprehensive free-ranging nonhuman primate demographic dataset to determine the effects of major hurricanes on the variability and maintenance of long-term population fitness. For this, we use individual-level data to build matrix population models and perform perturbation analyses. Despite reductions in population growth rate mediated through reduced fertility, our study reveals a demographic buffering during hurricane years. As long as survival does not decrease, our study shows that hurricanes do not result in detrimental effects at the population level, demonstrating the unbalanced contribution of survival and fertility to population fitness in long-lived animal populations.

Conclusion: What academia can contribute to refugee policy

2018 ◽  
Vol 56 (1) ◽  
pp. 146-151 ◽  
Author(s):  
Idean Salehyan
Keyword(s):  
Academic Research ◽  
Forced Migration ◽  
Humanitarian Assistance ◽  
Future Research ◽  
Security Risks ◽  
Individual Level ◽  
The Public ◽  
Level Data ◽  
Potential Risks

This conclusion to the special issue highlights the role of scholars in advancing the public discussion about forced migration. As countries around the world are adopting increasing restrictions on the entry of refugees, academic research can help to dispel some of the myths and apprehensions regarding the risks that forced migration entails. While refugees may be linked to conflict and violence in limited circumstances, the research generally demonstrates that robust international cooperation to manage refugee settlements, provide adequate humanitarian assistance, and integrate refugees into host communities, among other policies, can help to mitigate potential risks. Directions for future research and analysis are also discussed. Forced migration scholars should endeavor to collect more individual-level data; seek to understand factors that exacerbate or reduce security risks associated with cross-border militancy; conduct research on the long-term integration of refugees; and seek to understand the causes and consequences of resettlement and repatriation policies.

The importance of superior-quality wildlife habitats

2004 ◽  
Vol 80 (1) ◽  
pp. 75-81 ◽  
Author(s):  
Ian D Thompson
Keyword(s):  
Habitat Selection ◽  
Habitat Quality ◽  
Population Level ◽  
Individual Fitness ◽  
Animal Populations ◽  
Cumulative Change ◽  
Few Data ◽  
Managed Landscapes ◽  
The Relationship

While animals may use many habitat types, relatively few are preferred and fewer yet are superior in quality (referring to individual fitness as the measure of quality). Historical reduction in habitat quality for some wildlife species has occurred such that we may now have limited reference to original superior-quality habitats. As time passes, managers may be unaware that superior habitats are slowly disappearing and that the slow but cumulative change is significant to a species at the population level. The perception of superior-quality habitat also changes with each successive generation of managers based on their experiences. This paper raises the concern that retrospective work may often be required to determine past forest habitats and associated animal populations to avoid the risk of falling into a trap of not recognizing ever-declining habitat quality through time and relegating animals to what is in fact much poorer quality habitat than those to which they are actually best adapted. Further, the relationship between relative abundance and habitat quality may often be uncertain owing to maladaptive habitat selection by animals, inappropriate survey timing or interannual population differences. While we have begun to appreciate aspects of habitat selection for many forest species, few data are yet available that relate selected habitats to fitness of individual animals. Hence, while we may have models to predict habitat use, considerable research remains to be done to be able to predict long-term sustainability of species in managed landscapes. Key words: habitat quality, forest management, sustainability, biodiversity

Suitability of a young deciduous-dominated forest for American marten and the effects of forest removal

2004 ◽  
Vol 82 (3) ◽  
pp. 423-435 ◽  
Author(s):  
Kim G Poole ◽  
Aswea D Porter ◽  
Andrew de Vries ◽  
Chris Maundrell ◽  
Scott D Grindal ◽  
...  
Keyword(s):  
Populus Tremuloides ◽  
Forest Cover ◽  
Agricultural Land ◽  
Prey Availability ◽  
Population Level ◽  
Home Ranges ◽  
American Marten ◽  
Individual Level ◽  
The Individual

American marten (Martes americana (Turton, 1806)) are generally considered to be reliant upon and most successful in continuous late-successional coniferous forests. By contrast, young seral forests and deciduous-dominated forests are assumed to provide low-quality marten habitat, primarily as a result of insufficient structure, overhead cover, and prey. This study examined a moderate-density population of marten in northeastern British Columbia in what appeared to be comparatively low-quality, deciduous-dominated habitat, overgrown agricultural land primarily consisting of 30- to 40-year-old stands of regenerating trembling aspen (Populus tremuloides Michx.). Over 4 years, we monitored 52 radio-collared marten. The population appeared to be stable, as indicated by large numbers of adults, relatively constant densities, long-term residency of many individuals, low mortality rates, and older age structure. Relatively small home ranges (males, 3.3 km2; females, 2.0 km2) implied good habitat quality and prey availability. Shearing (removal of immature forest cover) of 17% of the study area resulted in home range shifts at the individual level but no detectable impact at the population level. Categorically, marten avoided nonforested cover types and preferred mature coniferous (>25% conifer) stands (7% of the study area) but otherwise appeared to use all forested stands relative to their availability, including extensive use of deciduous-dominated stands and deciduous stands <40 years of age. Thus, these young deciduous forests appeared to have sufficient structure, overhead cover, and prey to maintain moderate densities of resident marten on a long-term basis.

scholarly journals Population- and Individual-Level Dynamics of the Intestinal Microbiota of a Small Primate

2016 ◽  
Vol 82 (12) ◽  
pp. 3537-3545 ◽  
Author(s):  
Tuomas Aivelo ◽  
Juha Laakkonen ◽  
Jukka Jernvall
Keyword(s):  
Intestinal Microbiota ◽  
Large Scale ◽  
Small Body ◽  
Bacterial Community Composition ◽  
Temporal Trends ◽  
Population Level ◽  
Microbiota Composition ◽  
Individual Level ◽  
Mouse Lemurs ◽  
Free Ranging

ABSTRACTLongitudinal sampling for intestinal microbiota in wild animals is difficult, leading to a lack of information on bacterial dynamics occurring in nature. We studied how the composition of microbiota communities changed temporally in free-ranging small primates, rufous mouse lemurs (Microcebus rufus). We marked and recaptured mouse lemurs during their mating season in Ranomafana National Park in southeastern mountainous rainforests of Madagascar for 2 years and determined the fecal microbiota compositions of these mouse lemurs with MiSeq sequencing. We collected 160 fecal samples from 71 animals and had two or more samples from 39 individuals. We found small, but statistically significant, effects of site and age on microbiota richness and diversity and effects of sex, year, and site on microbiota composition, while the within-year temporal trends were less clear. Within-host microbiota showed pervasive variation in intestinal bacterial community composition, especially during the second study year. We hypothesize that the biological properties of mouse lemurs, including their small body size and fast metabolism, may contribute to the temporal intraindividual-level variation, something that should be testable with more-extensive sampling regimes.IMPORTANCEWhile microbiome research has blossomed in recent years, there is a lack of longitudinal studies on microbiome dynamics on free-ranging hosts. To fill this gap, we followed mouse lemurs, which are small heterothermic primates, for 2 years. Most studied animals have shown microbiota to be stable over the life span of host individuals, but some previous research also found ample within-host variation in microbiota composition. Our study used a larger sample size than previous studies and a study setting well suited to track within-host variation in free-ranging mammals. Despite the overall microbiota stability at the population level, the microbiota of individual mouse lemurs can show large-scale changes in composition in time periods as short as 2 days, suggesting caution in inferring individual-level patterns from population-level data.

scholarly journals Genomic associations with poxvirus across divergent island populations in Berthelot's pipit

2021 ◽  
Author(s):  
Eleanor Sheppard ◽  
Claudia Martin ◽  
Claire Armstrong ◽  
Catalina González-Quevedo ◽  
Juan Carlos Illera ◽  
...  
Keyword(s):  
Viral Infection ◽  
Population Level ◽  
Genomic Variation ◽  
Nucleotide Polymorphisms ◽  
Individual Level ◽  
Island Populations ◽  
Bird Populations ◽  
Animal Populations ◽  
Infection Pressure ◽  
Avian Pox

Understanding the mechanisms and genes that enable animal populations to adapt to pathogens is important from an evolutionary, health and conservation perspective. Berthelot’s pipit (Anthus berthelotii) experiences extensive and consistent spatial heterogeneity in avian pox infection pressure across its range of island populations, thus providing an excellent system with which to examine how pathogen-mediated selection drives spatial variation in immunogenetic diversity. Here we test for evidence of genetic variation associated with avian pox at both an individual and population-level. At the individual level, we find no evidence that variation in MHC class I and TLR4 (both known to be important in recognising viral infection) was associated with pox infection within two separate populations. However, using genotype-environment association (Bayenv) in conjunction with genome-wide (ddRAD-seq) data, we detected strong associations between population-level avian pox prevalence and allele frequencies of single nucleotide polymorphisms (SNPs) at a number of sites across the genome. These sites were located within genes involved in cellular stress signalling and immune responses, many of which have previously been associated with responses to viral infection in humans and other animals. Consequently, our analyses provide evidence that pathogen-mediated selection has shaped genomic variation among relatively recently colonised island bird populations, and highlights the utility of genotype-environment associations for identifying candidate genes involved in adaption to local pathogen pressures.

scholarly journals Do we need demographic data to forecast plant population dynamics?

2015 ◽  
Author(s):  
Andrew T. Tredennick ◽  
Mevin B. Hooten ◽  
Peter B. Adler
Keyword(s):  
Environmental Change ◽  
Forecast Accuracy ◽  
Population Level ◽  
Population Models ◽  
Demographic Model ◽  
Percent Cover ◽  
Climate Effects ◽  
Individual Level ◽  
Level Data ◽  
Significant Difference

1. Rapid environmental change has generated growing interest in forecasts of future population trajectories. Traditional population models built with detailed demographic observations from one study site can address the impacts of environmental change at particular locations, but are difficult to scale up to the landscape and regional scales relevant to management decisions. An alternative is to build models using population-level data that are much easier to collect over broad spatial scales than individual-level data. However, it is unknown whether models built using population-level data adequately capture the effects of density-dependence and environmental forcing that are necessary to generate skillful forecasts. 2. Here, we test the consequences of aggregating individual responses when forecasting the population states (percent cover) and trajectories of four perennial grass species in a semi-arid grassland in Montana, USA. We parameterized two population models for each species, one based on individual-level data (survival, growth and recruitment) and one on population-level data (percent cover), and compared their forecasting accuracy and forecast horizons with and without the inclusion of climate covariates. For both models, we used Bayesian ridge regression to weight the influence of climate covariates for optimal prediction. 3. In the absence of climate effects, we found no significant difference between the forecast accuracy of models based on individual-level data and models based on population-level data. Climate effects were weak, but increased forecast accuracy for two species. Increases in accuracy with climate covariates were similar between model types. 4. In our case study, percent cover models generated forecasts as accurate as those from a demographic model. For the goal of forecasting, models based on aggregated individual-level data may offer a practical alternative to data-intensive demographic models. Long time series of percent cover data already exist for many plant species. Modelers should exploit these data to predict the impacts of environmental change.

scholarly journals Risk of COVID-19 is associated with long-term exposure to air pollution

2020 ◽  
Author(s):  
Huaiyu Tian ◽  
Yonghong Liu ◽  
Hongbin Song ◽  
Chieh-Hsi Wu ◽  
Bingying Li ◽  
...  
Keyword(s):  
Severe Disease ◽  
Mainland China ◽  
Severe Infection ◽  
Chronic Obstructive ◽  
Quality Improvements ◽  
Obstructive Pulmonary Disease ◽  
Individual Level ◽  
Human Movements ◽  
Level Data

Introductory paragraphHigh risk of severe disease of COVID-19 has been associated with patients with chronic obstructive pulmonary disease, cardiovascular disease or hypertension1, and long-term exposure to PM2.5 has been associated with COVID-19 mortality 2. We collate individual level data of confirmed COVID-19 cases during the first wave of the epidemic in mainland China by March 6, 2020. We pair these data with a mobile phone dataset, covering human movements from Wuhan before the travel ban and inner-city movements during the time of emergency response from 324 cities in China. Adjusting for socio-economic factors, an increase of 10 μg/m3 in NO2 or PM2.5 was found to be associated with a 22.41% (95%CI: 7.28%-39.89%) or 15.35% (95%CI: 5.60%-25.98%) increase in the number of COVID-19 cases, and a 19.20% (95%CI: 4.03%-36.59%) or 9.61% (95%CI: 0.12%-20.01%) increase in severe infection, respectively. Our results highlight the importance of air quality improvements to health benefits.

scholarly journals In search of opportunity and community: Internal migration of refugees in the United States

2020 ◽  
Vol 6 (32) ◽  
pp. eabb0295
Author(s):  
Nadwa Mossaad ◽  
Jeremy Ferwerda ◽  
Duncan Lawrence ◽  
Jeremy Weinstein ◽  
Jens Hainmueller
Keyword(s):  
United States ◽  
Population Level ◽  
The United States ◽  
Retention Rates ◽  
State Governments ◽  
Individual Level ◽  
Welfare Benefits ◽  
Level Data ◽  
Immigrant And Refugee ◽  
National Networks

At a time of heightened anxiety surrounding immigration, state governments have increasingly sought to manage immigrant and refugee flows. Yet the factors that influence where immigrants choose to settle after arrival remain unclear. We bring evidence to this question by analyzing population-level data for refugees resettled within the United States. Unlike other immigrants, refugees are assigned to initial locations across the country but are free to relocate and select another residence after arrival. Drawing on individual-level administrative data for adult refugees resettled between 2000 and 2014 (N = 447,747), we examine the relative desirability of locations by examining how retention rates and patterns of secondary migration differ across states. We find no discernible evidence that refugees’ locational choices are strongly influenced by state partisanship or the generosity of welfare benefits. Instead, we find that refugees prioritize locations with employment opportunities and existing co-national networks.

scholarly journals Impact of increasing vegetarian availability on meal selection and sales in cafeterias

2019 ◽  
Vol 116 (42) ◽  
pp. 20923-20929 ◽  
Author(s):  
Emma E. Garnett ◽  
Andrew Balmford ◽  
Chris Sandbrook ◽  
Mark A. Pilling ◽  
Theresa M. Marteau
Keyword(s):  
Large Scale ◽  
Population Level ◽  
Field Studies ◽  
Individual Level ◽  
Rebound Effects ◽  
Percentage Points ◽  
Physical Environments ◽  
Meat Meal ◽  
Level Data ◽  
The Impact

Shifting people in higher income countries toward more plant-based diets would protect the natural environment and improve population health. Research in other domains suggests altering the physical environments in which people make decisions (“nudging”) holds promise for achieving socially desirable behavior change. Here, we examine the impact of attempting to nudge meal selection by increasing the proportion of vegetarian meals offered in a year-long large-scale series of observational and experimental field studies. Anonymized individual-level data from 94,644 meals purchased in 2017 were collected from 3 cafeterias at an English university. Doubling the proportion of vegetarian meals available from 25 to 50% (e.g., from 1 in 4 to 2 in 4 options) increased vegetarian meal sales (and decreased meat meal sales) by 14.9 and 14.5 percentage points in the observational study (2 cafeterias) and by 7.8 percentage points in the experimental study (1 cafeteria), equivalent to proportional increases in vegetarian meal sales of 61.8%, 78.8%, and 40.8%, respectively. Linking sales data to participants’ previous meal purchases revealed that the largest effects were found in the quartile of diners with the lowest prior levels of vegetarian meal selection. Moreover, serving more vegetarian options had little impact on overall sales and did not lead to detectable rebound effects: Vegetarian sales were not lower at other mealtimes. These results provide robust evidence to support the potential for simple changes to catering practices to make an important contribution to achieving more sustainable diets at the population level.

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