Factors influencing the population density of the hanuman langur (Presbytis entellus) in Sariska Tiger Reserve

Primates ◽  
1994 ◽  
Vol 35 (3) ◽  
pp. 361-367 ◽  
Author(s):  
Caroline Ross ◽  
Arun Srivastava
2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S585-S586
Author(s):  
Sarah McGough ◽  
Derek MacFadden ◽  
Mohammad Hattab ◽  
Kare Molbak ◽  
Mauricio Santillana

Abstract Background Widely recognized as a major public health threat globally, the rapid increase of antibiotic resistance in bacteria could soon render our most effective method to combat infections obsolete. Factors influencing the burden of resistance in human populations remain poorly described, though temperature is known to play an important role in mechanisms of bacterial growth and transmission. Methods Here, we present the first evidence that ambient temperatures may modulate the rate of increase of antibiotic resistance across Europe. Using a comprehensive dataset containing information across 28 countries, for 17 years (2000–2016), 3 common bacterial pathogens, and 4 antibiotic classes collectively representing over 4 million tested isolates, we show that antibiotic resistance has increased more rapidly in warmer regions over a period of nearly 2 decades. Results Specifically, we show that European countries with 10°C warmer ambient temperatures have experienced more rapid increases in antibiotic resistance to E. coli and K. pneumoniae over the 17-year period, ranging between 0.33%/year (95% CI 0.2, 0.5) and 1.2%/year (0.4, 1.9), even after accounting for recognized drivers of resistance including antibiotic consumption and population density. We found a decreasing relationship for S. aureus and methicillin of -0.4%/year (95% CI −0.7, 0.0), reflecting widespread declines in MRSA across Europe over the study period. Conclusion Our findings suggest that rising temperatures globally may hasten the spread of resistance and complicate efforts to mitigate it. Disclosures All authors: No reported disclosures.


2009 ◽  
Vol 5 (6) ◽  
pp. 423-425 ◽  
Author(s):  
Genji Matsuda ◽  
Tetsuo Maita ◽  
Yasutsugu Nakashima ◽  
John Barnabas ◽  
P. K. Ranjekar ◽  
...  

2007 ◽  
Vol 31 (2) ◽  
pp. 73-84 ◽  
Author(s):  
Kimberley D. Brosofske ◽  
David T. Cleland ◽  
Sari C. Saunders

Abstract Understanding relative influences of ecological and anthropogenic factors on wildfire occurrence can assist decisionmakers in allocating fire management resources. We examined the influences of ecological and anthropogenic variables on probability of modern fire occurrence in the Mark Twain National Forest (MTNF), Missouri, using classification and regression tree (CART) and logistic regression analyses. Models were developed for five classes of fire size. Although CART distinguished some effects of fire size on results, logistic regression indicated a single model developed for all fires was sufficient for predictions. Ecological subsection was a dominating influence on fire occurrence for final CART and logistic models, highlighting the potential usefulness of ecosystem classification as a framework for considering factors influencing modern wildfires. Other influential predictors included ecosystem fire resistance; distance to roads, cities, and railroads; road density; mean October precipitation; elevation; median house value; and population density. Wildfires in the MTNF are caused overwhelmingly by arson, which, when combined with our results, suggests that arsonists may seek out flammable fuel types in remote areas with easy access. Within this general anthropogenic fire regime, we found a more subordinate effect of specific human variables (e.g., population density) on modern fire occurrence than did similar studies in the Upper Midwest, perhaps because our study area encompassed primarily federal forestlands with low population density.


1997 ◽  
Vol 79 (1) ◽  
pp. 97-106 ◽  
Author(s):  
Raghubir Singh Pirta ◽  
Madhav Gadgil ◽  
A.V. Kharshikar

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