PM10 temporal variation and multi-scale contributions of sources and meteorology in Sfax, Tunisia

2020 ◽  
Vol 13 (5) ◽  
pp. 617-628
Author(s):  
Rym Dammak ◽  
Iness Chabbi ◽  
Moez Bahloul ◽  
Chafai Azri
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Corey S. Riding ◽  
Timothy J. O’Connell ◽  
Scott R. Loss

AbstractExpansion of urbanization and infrastructure associated with human activities has numerous impacts on wildlife including causing wildlife-structure collisions. Collisions with building windows represent a top bird mortality source, but a lack of research into timing of these collisions hampers efforts to predict them and mitigate effects on avian populations. In Stillwater, Oklahoma, USA, we investigated patterns of bird-window collisions at multiple temporal scales, from within-day to monthly and seasonal variation. We found that collisions peaked during overnight and early morning hours, a pattern that was consistent across seasons. Further, temporal variation in fatal collisions was explained by an interaction between season and avian residency status. This interaction illustrated the expected pattern that more migrant individuals than residents collided in fall, but we also documented unexpected patterns. For example, the highest monthly total of collisions occurred in spring migration during May. We also found similarly high numbers of resident and migrant collisions in spring, and a roughly similar amount of migrant mortality in spring and fall migration. These findings, which provide unprecedented quantitative information regarding temporal variation in bird-window collisions, have important implications for understanding mechanisms by which birds collide and improving timing of measures to reduce this major bird mortality source.


2018 ◽  
Vol 137 (1-2) ◽  
pp. 163-179 ◽  
Author(s):  
Hong Li ◽  
Shengqi Dai ◽  
Zutao Ouyang ◽  
Xiao Xie ◽  
Haiqiang Guo ◽  
...  

2022 ◽  
Author(s):  
Claire Jacquet ◽  
François Munoz ◽  
Núria Bonada ◽  
Thibault Datry ◽  
Jani Heino ◽  
...  

Understanding the capacity of ecological systems to withstand and recover from disturbances is a major challenge for ecological research in the context of environmental change. Disturbances have multi-scale effects: they can cause species extinctions locally and alter connectivity between habitat patches at the metacommunity level. Yet, our understanding of how disturbances influence landscape connectivity remains limited. To fill this gap, we develop a novel connectivity index that integrates the temporal variation of patch connectivity induced by disturbances, which can be applied to any spatially-structured habitat. We then combine this index with a metacommunity model to specifically investigate biodiversity recovery from drying events in river network metacommunities. We demonstrate that patch connectivity explains variations of species richness between groups of organisms with contrasting dispersal modes and captures the effect of drying intensity (i.e., fraction of patches that dry-up) and drying location on community recovery. As a general rule, loss of patch connectivity decreases community recovery, regardless of patch location in the river network, dispersal mode, or drying intensity. Local communities of flying organisms maintained higher patch connectivity in drying river networks compared to organisms with strictly aquatic dispersal, which explained the higher recovery capacity of this group from drying events. The general relationship between patch connectivity and community recovery we found can be applied to any spatial network subject to temporal variation of connectivity, thus providing a powerful tool for biodiversity management in dynamic landscapes.


2015 ◽  
Vol 204 ◽  
pp. 94-105 ◽  
Author(s):  
Franziska Koebsch ◽  
Gerald Jurasinski ◽  
Marian Koch ◽  
Joachim Hofmann ◽  
Stephan Glatzel

ScienceAsia ◽  
2020 ◽  
Vol 46 (2) ◽  
pp. 213
Author(s):  
Jirawan Kamma ◽  
Kasemsan Manomaiphiboon ◽  
Nishit Aman ◽  
Tara Thongkamdee ◽  
Surawut Chuangchote ◽  
...  

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