scholarly journals Using  the novel priority index in prioritizing the selection of inland water bodies for site-based fish  species conservation           

Author(s):  
Anthony Basooma ◽  
Herbert Nakiyende ◽  
Mark Olokotum ◽  
Winnie Nkalubo ◽  
Laban Musinguzi ◽  
...  
2015 ◽  
Vol 8 ◽  
Author(s):  
Mustafa S.F. Ziyadi ◽  
Laith A. Jawad ◽  
Mustafa A. Almukhtar ◽  
Thomas Pohl

Three adult specimens of the fish speciesAcentrogobius dayiwere collected from Sawa Lake, south-west of Baghdad, Iraq. The current report represents the first record ofA. dayifrom Sawa Lake and from other inland water bodies of Iraq.


2020 ◽  
Author(s):  
Anthony Basooma ◽  
Herbert Nakiyende ◽  
Mark Olokotum ◽  
Winnie Nkalubo ◽  
Laban Musinguzi ◽  
...  

AbstractFreshwater ecosystems occupy <1% of the Earth’s total surface area but provide an array of ecosystem services. However, these ecosystems are threatened by multiple stressors, including overexploitation, infrastructure developments, habitat alteration, and alien species introductions. The magnitude of these threats varies in different water bodies, requiring site-based conservation actions. In this paper, we aimed at developing a priority index (CPIw) that can be used to inform conservation managers in prioritizing the selection of a waterbody for site-based fish conservation purposes. We used data on distribution, diversity, and conservation status of fishes of Uganda, which were retrieved from the Global Biodiversity Information Facility (GBIF) and International Union Conservation for Nature (IUCN) databases. In the index, we incorporated the species richness, surface area of a waterbody, species rarity, and species IUCN status. A total of 288 fish species were recorded in 81 waterbodies (7 large lakes, 37 small lakes, and 37 rivers). Of these species, 110 were only found in large lakes, followed by rivers (19) and small lakes (6). Despite the higher species richness in large lakes relative to small lakes, the latter recorded significantly higher CPIw compared with the former (t = −2.8, df = 30, p-value = 0.008, d=0.7). This observation is consistent with the expectation, given the low ecological substitutability for the species and higher levels of exposure to human-induced threats in small water bodies compared with large systems. Therefore, we suggest that in situations where resources are limiting, small water bodies need to be given much attention, although we do not suggest ignoring water bodies with low CPIw values.


2016 ◽  
Vol 52 (6) ◽  
pp. 43-49
Author(s):  
V. V. Zamorov ◽  
Ye. Yu. Leonchyk ◽  
M. P. Zamorova ◽  
M. M. Dzhurtubayev

2011 ◽  
Vol 5 (2) ◽  
pp. 205 ◽  
Author(s):  
Gouri Sankar Bhunia ◽  
Shreekant Kesari ◽  
Nandini Chatterjee ◽  
Dilip Kumar Pal ◽  
Vijay Kumar ◽  
...  

2021 ◽  
Author(s):  
Irina Soustova ◽  
Yuliya Troitskaya ◽  
Daria Gladskikh

&lt;p&gt;A parameterization of the Prandtl number as a function of the gradient Richardson number is proposed in order to correctly take into account stratification when calculating the thermohydrodynamic regime of inland water bodies. This parameterization allows the existence of turbulence at any values &amp;#8203;&amp;#8203;of the Richardson number.&lt;/p&gt;&lt;p&gt;The proposed function is used to calculate the turbulent thermal conductivity coefficient in a k-epsilon mixing scheme. Modification is implemented in the three-dimensional hydrostatic model developed at the Research Computing Center of Moscow State University.&lt;/p&gt;&lt;p&gt;It is demonstrated that the proposed modification (in contrast to the standard scheme with a constant Prandtl number) leads to smoothing all sharp changes in vertical distributions of turbulent mixing parameters (turbulent kinetic energy, temperature and thickness of the shock layer) and imposes a Richardson number-dependent relation on the empirical constants of k-epsilon turbulent mixing scheme.&lt;/p&gt;&lt;p&gt;The work was supported by grants of the RF President&amp;#8217;s Grant for Young Scientists (MK-1867.2020.5) and by the RFBR (19-05-00249, 20-05-00776).&amp;#160;&lt;/p&gt;


2021 ◽  
pp. 317-325
Author(s):  
D. S. Gladskikh ◽  
A. M. Kuznetsova ◽  
G. A. Baydakov ◽  
Yu. I. Troitskaya

2017 ◽  
Vol 198 ◽  
pp. 345-362 ◽  
Author(s):  
Igor Klein ◽  
Ursula Gessner ◽  
Andreas J. Dietz ◽  
Claudia Kuenzer

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