SEASONAL FOREST-PATCH USE BY BIRDS IN FRAGMENTED LANDSCAPES OF SOUTH-CENTRAL PENNSYLVANIA

2007 ◽  
Vol 119 (3) ◽  
pp. 410-418 ◽  
Author(s):  
GREGORY S. KELLER ◽  
RICHARD H. YAHNER
2021 ◽  
Vol 41 (2) ◽  
Author(s):  
Christopher L. Hauer ◽  
Jamie Shinskie ◽  
Rebecca Picone ◽  
David McNaughton ◽  
Jon Dimitri Lambrinos ◽  
...  

2019 ◽  
Vol 21 (3) ◽  
pp. 264-271 ◽  
Author(s):  
Adriane Burgess ◽  
Teresa S. Johnson ◽  
Amanda Simanek ◽  
Theodore Bell ◽  
Sandra Founds

Background: The pathophysiology of preeclampsia remains unclear. The disorder is heterogeneous, and the pathophysiology may vary by subtype. Identification of relevant biomarkers will help to better elucidate the pathophysiologic basis of each preeclampsia subtype. Blood type may be a biomarker that allows risk identification for preeclampsia. Objective: The purpose of this study was to investigate the associations among maternal ABO blood type and preeclampsia subtype and fetal growth restriction (FGR). Method: Medical records of 126 women with early-onset preeclampsia (≤33 6/7 weeks’ gestation), 126 women with late-onset preeclampsia (≥34 0/7 weeks’ gestation), and 259 controls who gave birth between January 2012 and June 2016 were retrospectively abstracted from a large suburban tertiary referral center in South Central Pennsylvania for this hospital-based case–control study. Results: Women with AB blood type had >3 times the odds of late-onset preeclampsia (odds ratio [ OR] = 3.35, 95% confidence interval (CI) = [1.02, 11.05]) compared to those with O blood type. Among women with early-onset preeclampsia, those with B blood type had 5 times the odds of having a growth-restricted fetus than did women with O blood type ( OR = 5.44, 95% CI [1.65, 17.94]). Discussion: Our findings suggest that AB blood type may be an important risk factor for late-onset preeclampsia and that among women with early-onset preeclampsia, those with B blood type have increased odds of FGR. These findings warrant further study in women and their offspring to identify the pathophysiologic processes that may link ABO blood type, preeclampsia subtype, and FGR.


2012 ◽  
Vol 90 (2) ◽  
pp. 222-236 ◽  
Author(s):  
C.E. Rizkalla ◽  
R.K. Swihart

Measuring connectivity in fragmented landscapes remains a central problem in ecology. Connectivity metrics range from descriptors of landscape structure to direct observations of a species’ ability to move to and colonize a forest patch. We constructed individual-based spatially explicit population models for a guild of forest rodents in Indiana to test the ability of structural and actual, or behavioral, measures of connectivity to predict patch and landscape occupancy and abundance. Model accuracy was assessed using comparisons with data from trapping studies. Predicted abundances within patches correlated with empirical data for five out of six species, but predicted patterns of patch occupancy corresponded with observations for only one species. Discrepancies may be due to inaccurate parameter values or the absence from the models of ecological processes such as conspecific attraction and competition. Nonetheless, the models demonstrated the utility of patch immigration as a measure of connectivity in explaining population abundance in fragmented landscapes. We discuss potential methods of collecting these behavior-based data.


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