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Assessing ecosystem health: A preliminary investigation of the gosikhurd dam ecosystem structure and functioning, an appraisal based on ecological modelling, India.
Wanjari, Rinkesh Nemichand; Shah, Tasaduq Hussain; Telvekar, Prashant; Bhat, Farooz Ahmad; Abubakr, Adnan; Bhat, Bilal Ahmad; Darve, Sabina Iqbal; Ramteke, Karankumar Kishorkumar; Mathialagan, Dhanalakshmi; Magloo, Aadil Hussain; Singh, Bidyasagar Sanjenbam.
Afiliación
  • Wanjari RN; Division of Fisheries Resource Management (FRM), Faculty of Fisheries (FoFY), SKUAST-K, Rangil, Ganderbal, 190006, J&K, India. rinkeshwanjari0712@gmail.com.
  • Shah TH; Division of Fisheries Resource Management (FRM), Faculty of Fisheries (FoFY), SKUAST-K, Rangil, Ganderbal, 190006, J&K, India.
  • Telvekar P; Fisheries Extension, Economics and Statistics, College of Fishery Science, Nagpur, 440006, Maharashtra, India.
  • Bhat FA; Division of Fisheries Resource Management (FRM), Faculty of Fisheries (FoFY), SKUAST-K, Rangil, Ganderbal, 190006, J&K, India.
  • Abubakr A; Division of Aquatic Environment Management, Faculty of Fisheries (FoFY), SKUAST-K, Rangil, Ganderbal, 190006, J&K, India.
  • Bhat BA; Division of Extension and Social Sciences, Faculty of Fisheries (FoFY), SKUAST-K, Rangil, Ganderbal, 190006, J&K, India.
  • Darve SI; Division of Fisheries Resource Management (FRM), Faculty of Fisheries (FoFY), SKUAST-K, Rangil, Ganderbal, 190006, J&K, India.
  • Ramteke KK; Fisheries Resource Harvest and Post-Harvest Management (FRHPHM) Division, Central Institute of Fisheries Education (CIFE), Versova, Mumbai, 400061, Maharashtra, India.
  • Mathialagan D; Fisheries Resource Harvest and Post-Harvest Management (FRHPHM) Division, Central Institute of Fisheries Education (CIFE), Versova, Mumbai, 400061, Maharashtra, India.
  • Magloo AH; Division of Fisheries Resource Management (FRM), Faculty of Fisheries (FoFY), SKUAST-K, Rangil, Ganderbal, 190006, J&K, India.
  • Singh BS; Fisheries Resource Harvest and Post-Harvest Management (FRHPHM) Division, Central Institute of Fisheries Education (CIFE), Versova, Mumbai, 400061, Maharashtra, India.
Environ Monit Assess ; 196(9): 815, 2024 Aug 15.
Article en En | MEDLINE | ID: mdl-39145842
ABSTRACT
This study aims to comprehensively understand the Gosikhurd Dam ecosystem (GDE) ecosystem by employing the Ecopath with Ecosim software (version 6.6.5) to construct a trophic mass balancing model. This model consisted of 16 functional groups of organisms, and their interactions and trophic levels were explored. The study focuses on various performance indicators to assess the ecosystem's maturity and complexity. To achieve these objectives, monthly fish samples were collected from June 2022 to May 2023. Performance indicators such as the connectance index (CI), system omnivory index (SOI), Finn's cycling index (FCI), mean path length (FML), ascendency, overhead, and Shannon diversity index were calculated to assess ecosystem maturity and complexity. The Finn's cycling index (FCI) and the mean path length (FML) were calculated as 1.81 and 2.20, respectively, indicating the ecosystem's responsiveness to environmental changes and overall system health and stability. Ascendency and overhead values were also analysed, with ascendency being relatively higher (41.58%), reflecting a system that utilises less than half of its total capacity. The overhead value (58.42%) indicated that the ecosystem is relatively stable and capable of adapting to external perturbations. Furthermore, the Shannon diversity index was 1.67, illustrating less diversity and validating the ecosystem's immaturity. The study identifies critical species and their roles in shaping the ecosystem dynamics, highlighting the importance of zooplankton, zoobenthos, and tilapia as keystone species. These indices propound that GDE is in its developmental stage and lacks complexity compared to mature ecosystems. The findings provide valuable insights into the current state of the ecosystem and can guide future management and conservation efforts.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ecosistema / Peces Límite: Animals País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ecosistema / Peces Límite: Animals País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: India