scholarly journals Hydraulic redistribution by a dominant, warm-desert phreatophyte: seasonal patterns and response to precipitation pulses

2004 ◽  
Vol 18 (4) ◽  
pp. 530-538 ◽  
Author(s):  
K. R. HULTINE ◽  
R. L. SCOTT ◽  
W. L. CABLE ◽  
D. C. GOODRICH ◽  
D. G. WILLIAMS
2019 ◽  
Vol 34 (4) ◽  
pp. 1052-1062
Author(s):  
Long Sun ◽  
Lei Yang ◽  
Liding Chen ◽  
Haw Yen ◽  
Fangkai Zhao ◽  
...  

Oecologia ◽  
1988 ◽  
Vol 75 (3) ◽  
pp. 327-335 ◽  
Author(s):  
J. P. Comstock ◽  
T. A. Cooper ◽  
J. R. Ehleringer

Crisis ◽  
2014 ◽  
Vol 35 (1) ◽  
pp. 5-9 ◽  
Author(s):  
Daniel Hideki Bando ◽  
Fernando Madalena Volpe

Background: In light of the few reports from intertropical latitudes and their conflicting results, we aimed to replicate and update the investigation of seasonal patterns of suicide occurrences in the city of São Paulo, Brazil. Methods: Data relating to male and female suicides were extracted from the Mortality Information Enhancement Program (PRO-AIM), the official health statistics of the municipality of São Paulo. Seasonality was assessed by studying distribution of suicides over time using cosinor analyses. Results: There were 6,916 registered suicides (76.7% men), with an average of 39.0 ± 7.0 observed suicides per month. For the total sample and for both sexes, cosinor analysis estimated a significant seasonal pattern. For the total sample and for males suicide peaked in November (late spring) with a trough in May–June (late autumn). For females, the estimated peak occurred in January, and the trough in June–July. Conclusions: A seasonal pattern of suicides was found for both males and females, peaking in spring/summer and dipping in fall/winter. The scarcity of reports from intertropical latitudes warrants promoting more studies in this area.


1988 ◽  
Vol 9 (01) ◽  
pp. 85-88
Author(s):  
K. Srinivasan ◽  
N. K. Krishnakumar ◽  
P. R. Ramachander ◽  
G. S. P. Rao

2021 ◽  
Vol 5 (1) ◽  
pp. 4
Author(s):  
Ruggero Sainaghi ◽  
Rodolfo Baggio

This paper explores the scaling (size) effect in the seasonal patterns, a proxy for competitive threats, of Airbnb’s host providers, with the aim of understanding possible similarities and differences. This explorative study uses the city of Milan (Italy) as a case and daily occupancy data from Airbnb listings for four completed years (2015–2018). A mutual information-based technique was applied to assess possible synchronizations in the seasonal patterns. Empirical findings show progressive dissimilarities when moving from single to multiple listings, thus indicating a differentiation correlated to the presence of managed listings. There are fewer differences during the seasonal periods more centered around leisure clients and they are higher when considering business travelers. The evidence supports the scaling effect and its ability to reduce the competitive threat among different hosts.


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