scholarly journals Life‐history traits correlate with temporal trends in freshwater fish populations for common European species

2020 ◽  
Author(s):  
Raphaël Santos ◽  
Nicolas Poulet ◽  
Aurélien Besnard



Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 574
Author(s):  
Shewit Gebremedhin ◽  
Stijn Bruneel ◽  
Abebe Getahun ◽  
Wassie Anteneh ◽  
Peter Goethals

Fisheries play a significant role in the livelihoods of the world population, while the dependence on fisheries is acute in developing countries. Fisheries are consequently a critical element for meeting the sustainable development (SDG) and FAO goals to reduce poverty, hunger and improve health and well-being. However, 90% of global marine fish stocks are fully or over-exploited. The amount of biologically unsustainable stocks increased from 10% in 1975 to 33% in 2015. Freshwater ecosystems are the most endangered ecosystems and freshwater fish stocks are worldwide in a state of crisis. The continuous fish stock decline indicates that the world is still far from achieving SDG 14 (Life Below Water), FAO’s Blue Growth Initiative goal and SDG 15 (Life on Land, including freshwater systems). Failure to effectively manage world fish stocks can have disastrous effects on biodiversity and the livelihoods and socio-economic conditions of millions of people. Therefore, management strategies that successfully conserve the stocks and provide optimal sustainable yields are urgently needed. However, successful management is only possible when the necessary data are obtained and decision-makers are well informed. The main problem for the management of fisheries, particularly in developing countries, is the lack of information on the past and current status of the fish stocks. Sound data collection and validation methods are, therefore, important. Stock assessment models, which support sustainable fisheries, require life history traits as input parameters. In order to provide accurate estimates of these life history traits, standardized methods for otolith preparation and validation of the rate of growth zone deposition are essential. This review aims to assist researchers and fisheries managers, working on marine and freshwater fish species, in understanding concepts and processes related to stock assessment and population dynamics. Although most examples and case studies originate from developing countries in the African continent, the review remains of great value to many other countries.





2015 ◽  
Vol 26 (1) ◽  
pp. 212-224 ◽  
Author(s):  
Ali Serhan Tarkan ◽  
David Almeida ◽  
Michael J. Godard ◽  
Özcan Gaygusuz ◽  
Mark Rylands ◽  
...  


2011 ◽  
pp. P1-90-P1-90
Author(s):  
Erin M Gray ◽  
Ann M Petersen ◽  
Ruth A Bremiller ◽  
Yi-Lin Yan ◽  
C Loren Buck ◽  
...  


2016 ◽  
Vol 7 (2) ◽  
pp. 665-673 ◽  
Author(s):  
Satu Estlander ◽  
Kimmo K. Kahilainen ◽  
Jukka Horppila ◽  
Mikko Olin ◽  
Martti Rask ◽  
...  


2020 ◽  
Author(s):  
Nina McLean ◽  
Loeske E. B. Kruuk ◽  
Henk van der Jeugd ◽  
Dave Leech ◽  
Chris van Turnhout ◽  
...  

Abstract Many wild populations are showing changes in phenotypic traits. However, the common assumption that such changes are driven by climate change relies on three conditions: that local climate is changing over time, that trait(s) are sensitive to climate variability, and that other causal agents are not also changing. We used long-term datasets on 60 bird species to test these conditions and to quantify the contribution of warming temperatures to changes in three important life-history traits. Across species, approximately half of the magnitude of changes in traits could be attributed to a single temperature window, with averages of 50% for laying date, 40% for body condition and 56% for offspring numbers. Thus, although warming temperatures were a key driver of change, other unknown factors contributed substantially to temporal trends (typically reinforcing change). Further analyses showed that these non-temperature-driven contributions explained most of the inter-specific variation in trait changes.



2019 ◽  
Vol 95 (5) ◽  
pp. 1184-1194 ◽  
Author(s):  
Yu‐Jia Lin ◽  
Lotfi Rabaoui ◽  
Rommel H. Maneja ◽  
Mohammad A. Qurban ◽  
Khaled Abdulkader ◽  
...  


Sign in / Sign up

Export Citation Format

Share Document