Modeling pre-spawning fitness and optimal climate of spotted snakeheadChanna punctata(Bloch, 1793) from a Gangetic floodplain wetland of West Bengal, India
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F20%3A43901869" target="_blank" >RIV/60076658:12520/20:43901869 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/s00484-020-01976-z" target="_blank" >https://doi.org/10.1007/s00484-020-01976-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00484-020-01976-z" target="_blank" >10.1007/s00484-020-01976-z</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling pre-spawning fitness and optimal climate of spotted snakeheadChanna punctata(Bloch, 1793) from a Gangetic floodplain wetland of West Bengal, India
Popis výsledku v původním jazyce
The spawning and well-being of fish in an ecosystem are closely linked to climatic cues, viz., temperature and rainfall. Reduced fitness can affect the reproductive performance and lead to skipped spawning. Benchmarking the threshold fitness required for a fish population to achieve readiness for spawning, and understanding how climatic parameters influence the fitness will aid in predicting the fate of its reproductive success in future climatic conditions. This study determined the threshold condition factor pre-spawning fitness (K-spawn50) at which 50% of the femaleChanna punctatapopulation can be deemed fit for spawning. The optimal climate within which pre-spawning fitness is attained by this species under Indian climatic conditions was also identified. The study was conducted from June 2015 to September 2016, covering two spawning seasons (June-August) in a Gangetic floodplain wetland of West Bengal, India. The non-parametric Kaplan-Meier method (survival fit) was used for estimation of pre-spawning fitness. "Ready to spawn" females were classified based on binary coding of the gonadal maturity stages. The thermal and precipitation range within which spawning fitness is achieved was identified by using the locally weighted smoothing technique. FemaleC. punctatapre-spawning fitness (K-spawn50) ranged from 1.26 to 1.39 with an estimated median of 1.29 units. Temperatures between 29 and 32 degrees C and rainfall above 100 mm were conducive to attaining the requisite pre-spawning fitness inC. punctata. This is the first study benchmarking the pre-spawning fitness and optimal climate forC. punctata. Understanding spawning requirements can inform the climate change-induced impacts on reproductive plasticity and evolutionary adaptations of snakeheads in the Ganga river basin.
Název v anglickém jazyce
Modeling pre-spawning fitness and optimal climate of spotted snakeheadChanna punctata(Bloch, 1793) from a Gangetic floodplain wetland of West Bengal, India
Popis výsledku anglicky
The spawning and well-being of fish in an ecosystem are closely linked to climatic cues, viz., temperature and rainfall. Reduced fitness can affect the reproductive performance and lead to skipped spawning. Benchmarking the threshold fitness required for a fish population to achieve readiness for spawning, and understanding how climatic parameters influence the fitness will aid in predicting the fate of its reproductive success in future climatic conditions. This study determined the threshold condition factor pre-spawning fitness (K-spawn50) at which 50% of the femaleChanna punctatapopulation can be deemed fit for spawning. The optimal climate within which pre-spawning fitness is attained by this species under Indian climatic conditions was also identified. The study was conducted from June 2015 to September 2016, covering two spawning seasons (June-August) in a Gangetic floodplain wetland of West Bengal, India. The non-parametric Kaplan-Meier method (survival fit) was used for estimation of pre-spawning fitness. "Ready to spawn" females were classified based on binary coding of the gonadal maturity stages. The thermal and precipitation range within which spawning fitness is achieved was identified by using the locally weighted smoothing technique. FemaleC. punctatapre-spawning fitness (K-spawn50) ranged from 1.26 to 1.39 with an estimated median of 1.29 units. Temperatures between 29 and 32 degrees C and rainfall above 100 mm were conducive to attaining the requisite pre-spawning fitness inC. punctata. This is the first study benchmarking the pre-spawning fitness and optimal climate forC. punctata. Understanding spawning requirements can inform the climate change-induced impacts on reproductive plasticity and evolutionary adaptations of snakeheads in the Ganga river basin.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40103 - Fishery
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Biometeorology
ISSN
0020-7128
e-ISSN
—
Svazek periodika
64
Číslo periodika v rámci svazku
11
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
10
Strana od-do
1889-1898
Kód UT WoS článku
000567642700001
EID výsledku v databázi Scopus
2-s2.0-85090436680