scholarly journals Roads, forestry, and wolves interact to drive moose browsing behavior in Scandinavia

Ecosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Anne E. Loosen ◽  
Olivier Devineau ◽  
Barbara Zimmermann ◽  
Joris P. G. M. Cromsigt ◽  
Sabine E. Pfeffer ◽  
...  
2005 ◽  
Vol 83 (6) ◽  
pp. 807-819 ◽  
Author(s):  
Caroline Stolter ◽  
John P Ball ◽  
Riitta Julkunen-Tiitto ◽  
Reinhard Lieberei ◽  
Jörg U Ganzhorn

We investigated the selection criteria of moose, Alces alces (L., 1758), feeding on two willow species, Salix phylicifolia L. and Salix myrsinifolia Salisb., and whether these willows respond chemically. We correlated winter twig browsing with the concentrations of primary and secondary plant compounds in twigs and new leaves. Furthermore, we investigated 12 specific phenolics in twigs of S. phylicifolia. During winter, moose browsed twigs with low concentrations of phenolic compounds. Additionally, we found significant negative correlations between browsing and the concentration of 7 of the 12 specific phenolic compounds in S. phylicifolia. Most importantly, even though ours was a field study and had many potential sources of variation, a multivariate analysis revealed that these specific phenolics predicted 47% of the variation in moose browsing. The two willows reacted in different chemical ways to moose browsing, but both showed signs of defensive response in early spring and compensation growth in summer. Our data demonstrate the importance of plant secondary chemicals for feeding behaviour of moose and underline the importance of working at a species level in studies of plant–animal interactions, especially with the chemically heterogeneous willows.


2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Wei Jiang ◽  
Ruijin Wang ◽  
Zhiyuan Xu ◽  
Yaodong Huang ◽  
Shuo Chang ◽  
...  

The fast developing social network is a double-edged sword. It remains a serious problem to provide users with excellent mobile social network services as well as protecting privacy data. Most popular social applications utilize behavior of users to build connection with people having similar behavior, thus improving user experience. However, many users do not want to share their certain behavioral information to the recommendation system. In this paper, we aim to design a secure friend recommendation system based on the user behavior, called PRUB. The system proposed aims at achieving fine-grained recommendation to friends who share some same characteristics without exposing the actual user behavior. We utilized the anonymous data from a Chinese ISP, which records the user browsing behavior, for 3 months to test our system. The experiment result shows that our system can achieve a remarkable recommendation goal and, at the same time, protect the privacy of the user behavior information.


Ecology ◽  
1993 ◽  
Vol 74 (2) ◽  
pp. 467-480 ◽  
Author(s):  
J. Pastor ◽  
B. Dewey ◽  
R. J. Naiman ◽  
P. F. McInnes ◽  
Y. Cohen

2019 ◽  
Vol 19 (2) ◽  
pp. 44-57
Author(s):  
Diogo S. Martins ◽  
Bruna C. R. Cunha ◽  
Cristiane A. Yaguinuma ◽  
Isabela Zaine ◽  
Maria da Graça C. Pimentel

2014 ◽  
Vol 7 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Jan Boehmer ◽  
Stephen Lacy

This study analyzes how interactivity on Facebook relates to users’ browsing behaviors such as clicking a link, visiting a Web site, clicking articles on a Web site, and spending time on a sports news Web site. Regression analyses of 502 Facebook posts and the corresponding news articles show that the number of individuals who clicked on a link is not related to higher levels of interactivity, but an increase in interactivity did affect the number of overall visits generated. In addition, higher levels of interactivity had a slight negative correlation with the number of pages visited and the time spent on an organization’s Web site. Implications for the training and work routines of sport communication professionals in organizations, journalism, and public relations are discussed.


2018 ◽  
Vol 1069 ◽  
pp. 012072 ◽  
Author(s):  
Xiong Luo ◽  
Xiaoqiang Di ◽  
Xu Liu ◽  
Hui Qi ◽  
Jinqing Li ◽  
...  

2022 ◽  
Vol 16 (1) ◽  
pp. 1-27
Author(s):  
Kyle Crichton ◽  
Nicolas Christin ◽  
Lorrie Faith Cranor

With the ubiquity of web tracking, information on how people navigate the internet is abundantly collected yet, due to its proprietary nature, rarely distributed. As a result, our understanding of user browsing primarily derives from small-scale studies conducted more than a decade ago. To provide an broader updated perspective, we analyze data from 257 participants who consented to have their home computer and browsing behavior monitored through the Security Behavior Observatory. Compared to previous work, we find a substantial increase in tabbed browsing and demonstrate the need to include tab information for accurate web measurements. Our results confirm that user browsing is highly centralized, with 50% of internet use spent on 1% of visited websites. However, we also find that users spend a disproportionate amount of time on low-visited websites, areas with a greater likelihood of containing risky content. We then identify the primary gateways to these sites and discuss implications for future research.


Silva Fennica ◽  
1991 ◽  
Vol 25 (2) ◽  
Author(s):  
Raimo Silvennoinen ◽  
Rauno Hämäläinen ◽  
Kaarlo Nygrén ◽  
Kim Weissenberg
Keyword(s):  

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