Seasonal Dynamics of Primary Productivity in Gobbur Reservoir, Karnataka.

This study assessed the primary productivity of Gobbur Reservoir in Afzalpur, Kalaburagi District, Karnataka, from January 2024 to December 2024. Gross primary productivity (GPP), net primary productivity (NPP), and community respiration (CR) were measured monthly at four sampling stations using the light-and-dark bottle method. Physico-chemical parameters (temperature, pH, dissolved oxygen, alkalinity, nutrients) were analyzed to evaluate their influence on productivity. The results showed clear seasonal trends: GPP and NPP reached their highest levels in summer (0.65–0.85 gC/m³/hr and 0.40–0.55 gC/m³/hr, respectively) and northeast monsoon periods, whereas their lowest values were observed during the southwest monsoon because of turbid inflows. CR exhibited comparable patterns, showing a strong correlation with dissolved oxygen and temperature. Nutrient ratios (N:P) and morphometric variables (variations in water depth, land use of the catchment) significantly impacted productivity. The reservoir displayed mesotrophic characteristics with moderate productivity, influenced by light access, nutrient contributions from agricultural runoff, and consistent thermal stratification. These results emphasize the susceptibility of Gobbur Reservoir to eutrophication and stress the importance of sustainable land-use methods in its watershed.

Authors

Publication Details

Journal
International Journal of Scientific Development and Research
Published
2025-01-01
DOI
https://doi.org/10.56975/ijsdr.v10i7.303991
Primary Topic
Social and Economic Development in India
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seasonal Dynamics of Primary Productivity in Gobbur Reservoir, Karnataka.

Vinod Kumar Patil, N. Bhaskar Reddy, Shilpa Kalyanrao, Kanchikeri Sadananda
International Journal of Scientific Development and Research
Social and Economic Development in India
article

Seasonal Dynamics of Primary Productivity in Gobbur Reservoir, Karnataka.

Vinod Kumar Patil, N. Bhaskar Reddy, Shilpa Kalyanrao, Kanchikeri Sadananda
article en

Abstract

This study assessed the primary productivity of Gobbur Reservoir in Afzalpur, Kalaburagi District, Karnataka, from January 2024 to December 2024. Gross primary productivity (GPP), net primary productivity (NPP), and community respiration (CR) were measured monthly at four sampling stations using the light-and-dark bottle method. Physico-chemical parameters (temperature, pH, dissolved oxygen, alkalinity, nutrients) were analyzed to evaluate their influence on productivity. The results showed clear seasonal trends: GPP and NPP reached their highest levels in summer (0.65–0.85 gC/m³/hr and 0.40–0.55 gC/m³/hr, respectively) and northeast monsoon periods, whereas their lowest values were observed during the southwest monsoon because of turbid inflows. CR exhibited comparable patterns, showing a strong correlation with dissolved oxygen and temperature. Nutrient ratios (N:P) and morphometric variables (variations in water depth, land use of the catchment) significantly impacted productivity. The reservoir displayed mesotrophic characteristics with moderate productivity, influenced by light access, nutrient contributions from agricultural runoff, and consistent thermal stratification. These results emphasize the susceptibility of Gobbur Reservoir to eutrophication and stress the importance of sustainable land-use methods in its watershed.

International Journal of Scientific Development and ResearchVol. 10(7)
Openalex Percentile: Top 77%
Social and Economic Development in India
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.