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Dive into the research topics where James M. Beerens is active.

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Featured researches published by James M. Beerens.


The Auk | 2010

Sensitivity of Nesting Great Egrets (Ardea alba) and White Ibises (Eudocimus albus) to Reduced Prey Availability

Garth Herring; Dale E. Gawlik; Mark I. Cook; James M. Beerens

ABSTRACT. Life-history theory suggests that long-lived bird species will adjust their nesting effort according to current conditions to balance the costs and benefits of current reproduction with their long-term needs for survival and future reproduction. However, responses to the same habitat conditions may differ between species, even within the same ecosystem, to produce different nesting and population patterns. We examined differences in the nesting ecology of two sympatric wading species, Great Egret (Ardea alba) and White Ibis (Eudocimus albus), between years with high (2006) and below-average (2007) prey availability in the Florida Everglades. Clutch size of White Ibises decreased by ∼19% from 2006 to 2007, whereas Great Egret clutch size remained constant. Model selection identified rain, water depth, Julian date, year, and prey biomass as parameters that most influenced daily survival rates (DSR) of White Ibis nests, whereas nest stage, region, Julian date, water depth, and the quadratic form of water recession rate most influenced Great Egret nest DSR. Daily survival for both Great Egret and Whites Ibis nests was higher in 2006 (DSR = 0.992 and 0.999, respectively) than in 2007 (DSR = 0.981 and 0.979). Our results support the hypothesis that prey availability and hydrological factors play crucial roles in regulating populations of wading birds in the Florida Everglades. Results also demonstrated that White Ibis reproduction was more sensitive to changes in hydrological conditions and prey availability than Great Egret reproduction.


Environmental Management | 2015

Using Scenario Planning to Evaluate the Impacts of Climate Change on Wildlife Populations and Communities in the Florida Everglades

Christopher P. Catano; Stephanie S. Romañach; James M. Beerens; Leonard Pearlstine; Laura A. Brandt; Kristen M. Hart; Frank J. Mazzotti; Joel C. Trexler

It is uncertain how climate change will impact hydrologic drivers of wildlife population dynamics in freshwater wetlands of the Florida Everglades, or how to accommodate this uncertainty in restoration decisions. Using projections of climate scenarios for the year 2060, we evaluated how several possible futures could affect wildlife populations (wading birds, fish, alligators, native apple snails, amphibians, threatened and invasive species) across the Everglades landscape and inform planning already underway. We used data collected from prior research and monitoring to parameterize our wildlife population models. Hydrologic data were simulated using a spatially explicit, regional-scale model. Our scenario evaluations show that expected changes in temperature, precipitation, and sea level could significantly alter important ecological functions. All of our wildlife indicators were negatively affected by scenarios with less rainfall and more evapotranspiration. Under such scenarios, habitat suitability was substantially reduced for iconic animals such as wading birds and alligators. Conversely, the increased rainfall scenario benefited aquatic prey productivity and apex predators. Cascading impacts on non-native species is speculative, but increasing temperatures could increase the time between cold events that currently limit expansion and abundance of non-native fishes, amphibians, and reptiles with natural ranges in the tropics. This scenario planning framework underscored the benefits of proceeding with Everglades restoration plans that capture and clean more freshwater with the potential to mitigate rainfall loss and postpone impacts of sea level rise.


Waterbirds | 2008

Sex Determination for the Great Egret and White Ibis

Garth Herring; Dale E. Gawlik; James M. Beerens

Abstract Most species of wading birds are monomorphic and present few or no external characteristics to allow for sex determination in the field. We used standard morphometric measurements and discriminant function analysis to determine the sex of Great Egrets (Ardea alba) and White Ibises (Eudocimus albus). The models were validated based on sex determination from DNA. Two functions were created for Great Egrets; mass reliably discriminated 88% of our samples, while wing chord separated 81% of our samples. We included mass in the discriminant function analysis for Great Egrets because mass did not vary between years or within our pre-breeding sampling period. Mass was not included in our analysis of White Ibis because it differed by year and within our pre-breeding sampling period. White Ibis samples were separated by a discriminant function using the length of curved bill and tarsus. This function correctly classified 78% of our samples. We provide simplified linear equations to calculate the sex of Great Egrets and White Ibises as well as cut off points where the probability of correctly sexing individuals drops below 75%. Our model can be used to reduce the costs of sex determination by allowing researchers to use expensive DNA analysis techniques only for those individuals that cannot be reliably classified using the simple statistical model.


PLOS ONE | 2015

Linking dynamic habitat selection with wading bird foraging distributions across resource gradients

James M. Beerens; Erik G. Noonburg; Dale E. Gawlik

Species distribution models (SDM) link species occurrence with a suite of environmental predictors and provide an estimate of habitat quality when the variable set captures the biological requirements of the species. SDMs are inherently more complex when they include components of a species’ ecology such as conspecific attraction and behavioral flexibility to exploit resources that vary across time and space. Wading birds are highly mobile, demonstrate flexible habitat selection, and respond quickly to changes in habitat quality; thus serving as important indicator species for wetland systems. We developed a spatio-temporal, multi-SDM framework using Great Egret (Ardea alba), White Ibis (Eudocimus albus), and Wood Stork (Mycteria Americana) distributions over a decadal gradient of environmental conditions to predict species-specific abundance across space and locations used on the landscape over time. In models of temporal dynamics, species demonstrated conditional preferences for resources based on resource levels linked to differing temporal scales. Wading bird abundance was highest when prey production from optimal periods of inundation was concentrated in shallow depths. Similar responses were observed in models predicting locations used over time, accounting for spatial autocorrelation. Species clustered in response to differing habitat conditions, indicating that social attraction can co-vary with foraging strategy, water-level changes, and habitat quality. This modeling framework can be applied to evaluate the multi-annual resource pulses occurring in real-time, climate change scenarios, or restorative hydrological regimes by tracking changing seasonal and annual distribution and abundance of high quality foraging patches.


PLOS ONE | 2014

Physiological Condition of Juvenile Wading Birds in Relation to Multiple Landscape Stressors in the Florida Everglades: Effects of Hydrology, Prey Availability, and Mercury Bioaccumulation

Garth Herring; Collin A. Eagles-Smith; Dale E. Gawlik; James M. Beerens; Joshua T. Ackerman

The physiological condition of juvenile birds can be influenced by multiple ecological stressors, and few studies have concurrently considered the effects of environmental contaminants in combination with ecological attributes that can influence foraging conditions and prey availability. Using three temporally distinct indices of physiological condition, we compared the physiological response of nestling great egrets (Ardea alba) and white ibises (Eudocimus albus) to changing prey availability, hydrology (water depth, recession rate), and mercury exposure in the Florida Everglades. We found that the physiological response of chicks varied between species and among environmental variables. Chick body condition (short-term index) and fecal corticosterone levels (medium-term) were influenced by wetland water depth, prey availability, region, and age, but not by mercury contamination. However, mercury exposure did influence heat shock protein 70 (HSP70) in egret chicks, indicating a longer-term physiological response to contamination. Our results indicate that the physiological condition of egret and ibis chicks were influenced by several environmental stressors, and the time frame of the effect may depend on the specialized foraging behavior of the adults provisioning the chicks.


The Auk | 2011

Dynamic Habitat Selection by Two Wading Bird Species with Divergent Foraging Strategies in a Seasonally Fluctuating Wetland

James M. Beerens; Dale E. Gawlik; Garth Herring; Mark I. Cook


Journal of Field Ornithology | 2008

Evaluating two new methods for capturing large wetland birds

Garth Herring; Dale E. Gawlik; James M. Beerens


Science of The Total Environment | 2013

Landscape factors and hydrology influence mercury concentrations in wading birds breeding in the Florida Everglades, USA

Garth Herring; Collin A. Eagles-Smith; Joshua T. Ackerman; Dale E. Gawlik; James M. Beerens


Ecology and Evolution | 2015

Determining habitat quality for species that demonstrate dynamic habitat selection

James M. Beerens; Peter C. Frederick; Erik G. Noonburg; Dale E. Gawlik


Archive | 2009

VARIABILITY PATTERNS AND OUTLIER SMOOTHING OF THE EVERGLADES DEPTH ESTIMATION NETWORK DIGITAL ELEVATION MODEL IN THE NORTHERN EVERGLADES

Zhixiao Xie; Dale E. Gawlik; James M. Beerens; Zhongwei Liu; Aaron L. Higer

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Dale E. Gawlik

Florida Atlantic University

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Garth Herring

United States Geological Survey

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Stephanie S. Romañach

United States Geological Survey

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Christopher P. Catano

Washington University in St. Louis

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Collin A. Eagles-Smith

United States Geological Survey

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Erik G. Noonburg

Florida Atlantic University

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Joel C. Trexler

Florida International University

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Joshua T. Ackerman

United States Geological Survey

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Mark I. Cook

South Florida Water Management District

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Aaron L. Higer

Florida Atlantic University

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