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基于分子标记法初步评估艾比湖保护区马鹿种群数量

伍金山 廖廷琼 钟林强 单文娟 杨长乐 李亚旋 马玉凤 高文家 叶•库斯力 叶樑洪 杨宇骄 徐梦琦

四川林业科技2026,Vol.47Issue(1):69-76,8.
四川林业科技2026,Vol.47Issue(1):69-76,8.DOI:10.12172/202509290001

基于分子标记法初步评估艾比湖保护区马鹿种群数量

Preliminarily evaluation of Cervus elaphus population size in Ebinur Lake Nature Reserve based on molecular marker method

伍金山 1廖廷琼 1钟林强 1单文娟 1杨长乐 2李亚旋 1马玉凤 3高文家 2叶•库斯力 2叶樑洪 2杨宇骄 1徐梦琦1

作者信息

  • 1. 新疆大学生命科学与技术学院,乌鲁木齐 830046
  • 2. 新疆艾比湖湿地国家级自然保护区管理局,新疆 博乐 833400
  • 3. 博州哈夏国有林管理局,新疆 温泉 833500
  • 折叠

摘要

Abstract

Currently,there is a lack of systematic research on the population size prediction of Cervus elaphus in the Ebinur Lake Wetland National Nature Reserve in Xinjiang.To understand the population size and trends of Ce.elaphus in Ebinur Lake Nature Reserve,220 fresh Ce.elaphus fecal samples were collected from July 2023 and May 2024.Based on non-invasive sampling methods,11 microsatellite loci and the SRY/BMC1009 gene were used for individual identification and sex determination.The results showed that 86 genetically distinct Ce.elaphus individuals were identified from 220 fecal samples,with a sex ratio of 1.15:1(46 females:40 males).Further assessment of the Ce.elaphus population in Ebinur Lake Nature Reserve using non-invasive mark-recapture(CMR)indicated an estimated population size of approximately 138 individuals,representing an increase compared to previous studies.This molecular-based investigation into the population size and sex ratio structure of Ce.elaphus in Ebinur Lake Nature Reserve provides scientific evidence for refining species information within the reserve and formulating scientifically sound population conservation strategies.

关键词

艾比湖/马鹿/种群数量/微卫星/非损伤性标记重捕法

Key words

Ebinur Lake/Cervus elaphus/population size/microsatellite/non-invasive marker recapture method

引用本文复制引用

伍金山,廖廷琼,钟林强,单文娟,杨长乐,李亚旋,马玉凤,高文家,叶•库斯力,叶樑洪,杨宇骄,徐梦琦..基于分子标记法初步评估艾比湖保护区马鹿种群数量[J].四川林业科技,2026,47(1):69-76,8.

基金项目

艾比湖湿地国家级自然保护区2024年中央林业草原保护区级自然保护区生物多样性保护研究项目(XJGJCSCG2025-003) (XJGJCSCG2025-003)

国家自然科学基金地区项目(32260116) (32260116)

四川林业科技

1003-5508

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