生物多样性 ›› 2025, Vol. 33 ›› Issue (7): 24581. DOI: 10.17520/biods.2024581 cstr: 32101.14.biods.2024581
田书荣1,*()(
), 魏营2(
), 肖芬1(
), 周芸芸1(
), 解宜兴2, 王丞2(
), 宋芬1, 梁志强3(
), 桂小杰4,*(
)(
)
收稿日期:
2024-12-23
接受日期:
2025-05-14
出版日期:
2025-07-20
发布日期:
2025-08-27
通讯作者:
*Email: 139685878@qq.com;wildlifecn@163.com
基金资助:
Shurong Tian1,*()(
), Ying Wei2(
), Fen Xiao1(
), Yunyun Zhou1(
), Yixing Xie2, Cheng Wang2(
), Fen Song1, Zhiqiang Liang3(
), Xiaojie Gui4,*(
)(
)
Received:
2024-12-23
Accepted:
2025-05-14
Online:
2025-07-20
Published:
2025-08-27
Contact:
*Email: 139685878@qq.com;wildlifecn@163.com
Supported by:
摘要: 种群动态分析是制定濒危物种保护策略的重要依据。中国大鲵(Andrias davidianus)为我国特有两栖动物, 其野外种群状况不明。为探讨种群增长模型在种群动态分析及物种保护成效量化评价中的可行性, 本文以湖南张家界大鲵国家级自然保护区的中国大鲵为研究对象, 基于2006-2021年的野外调查数据和2000-2024年的增殖放流统计数据, 应用种群增长模型模拟分析了该保护区中国大鲵的种群动态、环境容纳量及增殖放流效果。结果表明: (1)该种群年均增长率为0.1722 ± 0.0324, 环境容纳量K值为51,190条, 目前种群处于指数增长阶段; (2)中国大鲵种群在增殖放流和无增殖放流两种情形下, 其种群增长曲线呈现极显著差异。在无增殖放流情形下, 种群指数和Logistic增长模型中的瞬时增长率分别下降了16.27%和32.11%。(3)增殖放流对中国大鲵野生种群复壮效果明显, 按照目前增殖放流量测算, 40年后种群数量将达到环境容纳量的峰值。基于种群增长模型分析种群动态具有可行性, 其研究成果对制定中长期濒危物种保护策略具有较好的应用前景; 对张家界大鲵保护区中国大鲵种群动态分析研究结果显示, 增殖放流(种群补充)效果明显; 中国大鲵种群增长率相对较低, 实施增殖放流和栖息地修复等保护措施十分必要。鉴于目前的种群增长率、种群增长趋势及环境容纳量, 建议持续实施增殖放流措施, 并按水系和遗传支系筛选增殖放流个体, 以本地亲本繁育后代为增殖放流个体来源, 防止野生种群基因混杂并确保种群稳定增长, 重点加强出苗点的保护和恢复。本结果可为中国大鲵或其他濒危物种种群动态分析、保护成效评估和保护策略制定提供参考。
田书荣, 魏营, 肖芬, 周芸芸, 解宜兴, 王丞, 宋芬, 梁志强, 桂小杰 (2025) 湖南张家界大鲵国家级自然保护区中国大鲵种群动态及保护策略. 生物多样性, 33, 24581. DOI: 10.17520/biods.2024581.
Shurong Tian, Ying Wei, Fen Xiao, Yunyun Zhou, Yixing Xie, Cheng Wang, Fen Song, Zhiqiang Liang, Xiaojie Gui (2025) Population dynamics and conservation strategies of Andrias davidianus in Hunan Zhangjiajie Giant Salamander National Nature Reserve, China. Biodiversity Science, 33, 24581. DOI: 10.17520/biods.2024581.
年份 Year | 种群数量 Population size | 种群增长率 Population growth rate (%) | 样线长度密度(尾/km) Density of transect length (ind./km) | 样线面积密度(尾/100 m2) Density of transect area (ind./100 m2) |
---|---|---|---|---|
2006 | 2,000 | 1.53 | 0.14 | |
2013 | 7,360 | 20.45 | 5.62 | 0.51 |
2021 | 20,963 | 13.97 | 16.00 | 1.47 |
表1 湖南张家界大鲵国家级自然保护区中国大鲵种群动态
Table 1 Population dynamics of Andrias davidianus in the Hunan Zhangjiajie Giant Salamander National Nature Reserve, China
年份 Year | 种群数量 Population size | 种群增长率 Population growth rate (%) | 样线长度密度(尾/km) Density of transect length (ind./km) | 样线面积密度(尾/100 m2) Density of transect area (ind./100 m2) |
---|---|---|---|---|
2006 | 2,000 | 1.53 | 0.14 | |
2013 | 7,360 | 20.45 | 5.62 | 0.51 |
2021 | 20,963 | 13.97 | 16.00 | 1.47 |
年份 Year | 种群数量 Population size | 补充个体数量 Individuals of supplementation | 无补充情形种群数量 Population size under non-supplementation scenario |
---|---|---|---|
2006 | 2,000 | 992 | 1,008 |
2013 | 7,360 | 5,952 | 1,408 |
2021 | 20,963 | 13,889 | 7,075 |
表2 无补充情形种群动态模拟分析参数
Table 2 Parameters for population dynamics simulation analysis under non-supplementation scenario
年份 Year | 种群数量 Population size | 补充个体数量 Individuals of supplementation | 无补充情形种群数量 Population size under non-supplementation scenario |
---|---|---|---|
2006 | 2,000 | 992 | 1,008 |
2013 | 7,360 | 5,952 | 1,408 |
2021 | 20,963 | 13,889 | 7,075 |
图1 在补充和无补充情形下中国大鲵种群指数和Logistic增长曲线
Fig. 1 The population exponential growth curve and logistic growth curve of the Chinese giant salamander under supplementation and non-supplementation scenarios
参数 Parameters | 补充 Supp. | 无补充 NSupp. | 增加 Increase (%) |
---|---|---|---|
指数增长模型r值 r value of EGM | 0.1658 | 0.1426 | 16.27 |
Logistic增长模型r值 r value of LGM | 0.2012 | 0.1523 | 32.11 |
种群增长到K峰值时间(年) The time of population reaches the peak of K (Year) | 40 | 60 | ‒50 |
表3 在补充和无补充情形下中国大鲵种群增长模型主要参数值比较
Table 3 Comparison and analysis of key parameters for population growth models of the Chinese giant salamander under supplementation (Supp.) and non-supplementation (NSupp.) scenarios
参数 Parameters | 补充 Supp. | 无补充 NSupp. | 增加 Increase (%) |
---|---|---|---|
指数增长模型r值 r value of EGM | 0.1658 | 0.1426 | 16.27 |
Logistic增长模型r值 r value of LGM | 0.2012 | 0.1523 | 32.11 |
种群增长到K峰值时间(年) The time of population reaches the peak of K (Year) | 40 | 60 | ‒50 |
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