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• 方法与技术 • 上一篇    

样线法调查中森林鸟类有效宽度的选择

陈道剑1,2,庾太林1,邹发生2*   

  1. (1广西师范大学生命科学学院, 广西桂林 541006;2广东省生物资源应用研究所,广东省动物保护与资源利用重点实验室,广东省野生动物保护与利用公共实验室, 广州 510260)
  • 出版日期:2019-10-10 发布日期:2019-10-10

Selecting effective half-strip width of line transect method in forest bird survey.

CHEN Dao-jian1,2, YU Tai-lin1, ZOU Fa-sheng2*   

  1. (1College of Life Science, Guangxi Normal University, Guilin 541006, Guangxi, China; 2Guaugdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Guangdong Institute of Applied Biological Resources, Guangzhou 510260, China).
  • Online:2019-10-10 Published:2019-10-10

摘要: 在样线法调查中,样线宽度的选择能显著影响鸟类的密度计算结果,设置样线宽度时应考虑鸟类的有效宽度(ESW),当选择的样线宽度大于有效宽度时会导致对应鸟种的密度偏低。为掌握有效宽度在样线法调查中的应用,本文通过Distance软件估算了可变距离样线法调查的广东省42科175种鸟类在森林内的有效宽度,其中有效宽度≤25 m的鸟类有52种,有效宽度在25~50 m的鸟类有60种,有效宽度>50 m的鸟类有63种。调查的记录数是影响Distance软件内函数组合选择的主要因素,记录数>20条时有效宽度的结果较为稳定,>35条时更为准确,随着记录数的增加,9种函数组合的计算结果趋近相同,其中风险率分布与余弦展开的组合表现最好。鸟类的有效宽度与体长(BL)显著正相关(r=0.628,P<0.01),ESW=2.14×BL0.9398 (ESW的单位为m,BL的单位为cm)。此外,鸟类的鸣叫习性也对有效宽度影响较大,相同体长中擅于鸣叫的鸟类有效宽度约为不擅鸣叫鸟类的1.61倍。建议在计算鸟类种群密度时,分别确定每种鸟类有效宽度的值。

关键词: 高粱, 土壤环境, 连作障碍, 微生物群落, 轮作

Abstract: During bird survey with line transect method, the estimation of bird density is strongly affected by the effective half-strip width (ESW). When the selected transect line width is larger than the ESW, the density of corresponding species would be underestimated. However, few studies have considered the variations in ESW. We estimated the ESW of 175 forest bird species from 42 families in Guangdong Province using the Distance software. We also examined species traits associated with the ESW. There were 52 species with ESW≤25 m, 60 species with 25 m<ESW≤50 m, and 63 species with ESW>50 m. The number of records of birds (obs) was the main factor affecting the choice of function combinations in the Distance software. The result of ESW was relatively stable when obs was greater than 20, and more accurate when the records was greater than 35. The results of nine kinds of function combination were more accurate and similar when records were high. Overall, the combination of hazardrate and cosine model performed better than other models. The ESW was significantly positively correlated with body length (BL) of birds (r=0.628, P<0.01). Our findings provide a baseline ESW=2.14×BL0.9398 (unit: ESW, m; BL, cm). Furthermore, the bird’s call affected ESW. When the body length was similar, the ESW of birds often tweeting was 1.61 times larger than the ESW of birds calling infrequently. Our findings suggest that the heterogeneous ESW among birds should be taken into account in distance sampling analysis.

Key words: soil environment, sorghum, rotation cropping, microbial community, continuous cropping obstacle.