scholarly journals Does River Restoration Increase Fish Abundance and Survival or Concentrate Fish? The Effects of Project Scale, Location, and Fish Life History

Fisheries ◽  
2019 ◽  
Vol 44 (1) ◽  
pp. 7-19 ◽  
Author(s):  
Philip Roni
Ecology ◽  
2015 ◽  
Author(s):  
Ting-Chun Kuo ◽  
Sandip Mandal ◽  
Atsushi Yamauchi ◽  
Chih-hao Hsieh

2019 ◽  
Vol 663 ◽  
pp. 486-495 ◽  
Author(s):  
Alessandro Manfrin ◽  
Sven Teurlincx ◽  
Armin W. Lorenz ◽  
Peter Haase ◽  
Maare Marttila ◽  
...  

2018 ◽  
Vol 69 (8) ◽  
pp. 1222 ◽  
Author(s):  
Fasil Taddese ◽  
Marc Schallenberg ◽  
Pavel Mikheev ◽  
Matt G. Jarvis ◽  
Gerard P. Closs

Fish assemblages of New Zealand estuaries are poorly studied, and knowledge of the effects of estuary–ocean connections on the ichthyofaunal composition of estuaries remains limited. Understanding the status of fish composition of estuaries is crucial for planning for sustainable management of aquatic ecosystems. In the present study we sampled fish using a seine net from lower reaches of six permanently open estuaries and six intermittently closed and open lakes or lagoons (ICOLLs) along the Otago coastline during winter 2016 and summer 2017. Marked differences in ichthyofaunal composition were observed in the shallow littoral habitats of permanently open estuaries and ICOLLs. Fish assemblages reflected estuary–ocean connection status of estuaries during both seasons. ICOLLs showed greater fish abundance than permanently open systems. Fish abundance was higher in summer than in winter in both estuary types. Fish species with marine–estuarine opportunist and estuarine–migrant life histories dominated permanently open estuaries. Conversely, species with a diadromous life history but known to form landlocked populations were abundant in ICOLLs. Salinity and temperature were correlated with fish abundance in both estuary types.


Ecology ◽  
2015 ◽  
Author(s):  
Ting-Chun Kuo ◽  
Sandip Mandal ◽  
Atsushi Yamauchi ◽  
Chih-hao Hsieh

2019 ◽  
Vol 42 ◽  
Author(s):  
Boris Kotchoubey

Abstract Life History Theory (LHT) predicts a monotonous relationship between affluence and the rate of innovations and strong correlations within a cluster of behavioral features. Although both predictions can be true in specific cases, they are incorrect in general. Therefore, the author's explanations may be right, but they do not prove LHT and cannot be generalized to other apparently similar processes.


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