Xindong Pan , Wenchao Zhang , Wanqi Liu , Anh Nguyen , Jessica Best , Richard Pendleton , Liangmin Huang , Yong Chen
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引用次数: 0
Abstract
Understanding spawning behavior is critical in evaluating the productivity and vulnerability of fish populations to exploitation and climate change. Using the ichthyoplankton data collected in the Hudson River Biological Monitoring Program (HRBMP), we evaluated the spawning behavior of striped bass (Morone saxatilis) in the Hudson River estuary (HRE). We developed three novel spawning optimum indices: Thermal Optimum Index (THOI), Temporal Optimum Index (TEOI), and Spatial Optimum Index (SOI). Our results showed that striped bass prefer to spawn at certain temperature ranges during two specific and distinct time periods but in extensive locations in the HRE. Their spawning behavior had changed over time, with two shifts occurring in 1985 and 1998 and resulting in three distinct periods with different spawning strategies. These changes, including narrower range of optimal spawning temperatures and reduced diversity in spatial and temporal spawning behavior, may negatively impact the population’s stability and reproductive resilience. Our study demonstrates the importance of a long-term monitoring program to understand spawning strategies in striped bass and highlights the importance of considering spawning behavior in fisheries management.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.