Identification and Profiling of Risk Factors Associated with Decreased Fish Population and Biodiversity: A Case Study of Kolleru Lake in Andhra Pradesh during 2020 to 2021

Deepthi Gajula *

Department of Zoology, Annamalai University, India.

S. P. Jeya Priya

Department of Zoology, Govt. Arts College for Women, Pudukkottai-622001, India.

*Author to whom correspondence should be addressed.


At the start, we consider the greatest decreases in reproducing populace size that have been seen across a wide scope of animal categories. The essential imperative on such an activity is that these alleged memorable paces of decline will constantly misjudge real decays, since genuine notable populace maxima will have happened well before fishery the executives offices started gathering information on fish overflow. For most fish populaces, dependable quantitative information on overflow have just been accessible for the beyond 2 to thirty years. In this information base, bringing forth stock size, enlistment, gets by the fishery, and fishing mortality, all assessed by the public or global organization answerable for the administration of every populace, are accessible for a considerable length of time. Obviously marine fishes have encountered phenomenal downfalls comparative with known memorable levels. These information depend on populaces for which time series reach out something like 10 years, with a mean of 25 years and a limit of 73 years. Taken all in all, the middle greatest populace decline among the 232 populaces for which information are accessible is 83%; well over portion of the populaces (58%) showed most extreme decays of 80% or more. The solid negative slant in the information, and the high middle decrease in overflow, are likewise apparent at lower ordered levels. Among 56 populaces of clupeids, 73% experienced notable downfalls of 80% or more. Inside the Gadidae and cod, of the 70 populaces for which there are information, the greater part declined 80% or more. Furthermore, among 30 pleuronectid populaces, 43% displayed declines of 80% or more. These outcomes are sobering for two reasons. To start with, a considerable lot of them have happened notwithstanding a gigantic work to keep them from occurring. Second, as indicated above, they depend on "noteworthy" maxima that are not exactly notable by any means, most fisheries having been well under way many years or hundreds of years before the time series of information started. Without even a trace of longer-term information, analysts' discernments will more often than not scale to time spans that they, or maybe their folks, can recall. This outcomes in the "moving benchmark condition", by which researchers acknowledge information from an ever increasing number of late periods as baselines, failing to remember that this permits definitely diminished populaces to fill in for the a lot higher baselines that happened before people started significantly affecting populaces.

Keywords: Identification, risk, decreased, fish, biodiversity, molecular, syndrome

How to Cite

Gajula, D., & Priya, S. P. J. (2023). Identification and Profiling of Risk Factors Associated with Decreased Fish Population and Biodiversity: A Case Study of Kolleru Lake in Andhra Pradesh during 2020 to 2021. Journal of Geography, Environment and Earth Science International, 27(1), 42–49.


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