Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds

Identifying precise egg attachment areas and tracking trends of spawning magnitude (total amount of spawned eggs) are critical for accurate habitat assessment and effective conservation efforts, especially for lithophilic spawning fishes. However, accurate measurement of spawning conditions across b...

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Main Authors: Pengsheng Li, Xuan Ban, Jinming Wu, Hui Zhang, Junyi Li, Li Shen, Zhigang Liu, Hao Du
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-01-01
Series:Water Biology and Security
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772735124000830
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author Pengsheng Li
Xuan Ban
Jinming Wu
Hui Zhang
Junyi Li
Li Shen
Zhigang Liu
Hao Du
author_facet Pengsheng Li
Xuan Ban
Jinming Wu
Hui Zhang
Junyi Li
Li Shen
Zhigang Liu
Hao Du
author_sort Pengsheng Li
collection DOAJ
description Identifying precise egg attachment areas and tracking trends of spawning magnitude (total amount of spawned eggs) are critical for accurate habitat assessment and effective conservation efforts, especially for lithophilic spawning fishes. However, accurate measurement of spawning conditions across both spatial and temporal dimensions poses significant challenges. We conducted a fourteen-year field study below the Gezhouba Dam, the main spawning ground for the Chinese sturgeon, using Kernel Density Estimation (KDE) method and Catch per Unit of Effort (CPUE) to refine knowledge on egg attachment areas relative to previous assessments. In addition, our analysis documented shifts in spawning locations within these four areas over the past fourteen years, revealing a worrying trend of decreasing spawning magnitude. This approach not only enabled the incorporation of the density distribution of eggs into the assessment of spawning magnitude trends, but also underscored the potential of the KDE as a framework for identifying egg attachment areas and estimating spawning magnitude trends. Our results provide valuable insights into spawning degradation of Chinese sturgeon and inform conservation strategies to protect their fragile spawning grounds.
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institution Kabale University
issn 2772-7351
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publishDate 2025-01-01
publisher KeAi Communications Co. Ltd.
record_format Article
series Water Biology and Security
spelling doaj-art-fec0546385bc4642993866aa622dabc32025-01-27T04:22:40ZengKeAi Communications Co. Ltd.Water Biology and Security2772-73512025-01-0141100311Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning groundsPengsheng Li0Xuan Ban1Jinming Wu2Hui Zhang3Junyi Li4Li Shen5Zhigang Liu6Hao Du7College of Marine Sciences, Shanghai Ocean University, Shanghai, China; Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, ChinaInnovation Academy for Precision Measurement Science and Technology, Chinese Academy of Science, Wuhan, 430071, China; Corresponding author.Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, ChinaYangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, ChinaYangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, ChinaYangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, ChinaYangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, ChinaYangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China; Corresponding author.Identifying precise egg attachment areas and tracking trends of spawning magnitude (total amount of spawned eggs) are critical for accurate habitat assessment and effective conservation efforts, especially for lithophilic spawning fishes. However, accurate measurement of spawning conditions across both spatial and temporal dimensions poses significant challenges. We conducted a fourteen-year field study below the Gezhouba Dam, the main spawning ground for the Chinese sturgeon, using Kernel Density Estimation (KDE) method and Catch per Unit of Effort (CPUE) to refine knowledge on egg attachment areas relative to previous assessments. In addition, our analysis documented shifts in spawning locations within these four areas over the past fourteen years, revealing a worrying trend of decreasing spawning magnitude. This approach not only enabled the incorporation of the density distribution of eggs into the assessment of spawning magnitude trends, but also underscored the potential of the KDE as a framework for identifying egg attachment areas and estimating spawning magnitude trends. Our results provide valuable insights into spawning degradation of Chinese sturgeon and inform conservation strategies to protect their fragile spawning grounds.http://www.sciencedirect.com/science/article/pii/S2772735124000830Egg distributionSpawning magnitudeKernel density estimationChinese sturgeonCatch-per-unit-of-effort (CPUE)Spawning location
spellingShingle Pengsheng Li
Xuan Ban
Jinming Wu
Hui Zhang
Junyi Li
Li Shen
Zhigang Liu
Hao Du
Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds
Water Biology and Security
Egg distribution
Spawning magnitude
Kernel density estimation
Chinese sturgeon
Catch-per-unit-of-effort (CPUE)
Spawning location
title Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds
title_full Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds
title_fullStr Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds
title_full_unstemmed Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds
title_short Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds
title_sort kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in chinese sturgeon spawning grounds
topic Egg distribution
Spawning magnitude
Kernel density estimation
Chinese sturgeon
Catch-per-unit-of-effort (CPUE)
Spawning location
url http://www.sciencedirect.com/science/article/pii/S2772735124000830
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