G2TT
来源类型Articles
规范类型论文
DOI10.1016/j.foreco.2011.09.020
ISSN0378-1127
Visual detection based distance sampling offers efficient density estimation for distinctive low abundance tropical forest tree species in complex terrain
Dermawan, A.; Petkova, E.; Sinaga, A.C.; Muhajir, M.; Indriatmoko, Y.
发表日期2012
出处Forest Ecology and Management 263(1): 114-121
出版年2012
语种英语
摘要

Good density estimates for low abundance tree species are costly to achieve especially in rugged or disturbed forest landscapes. More efficient methods would be of considerable value to managers and conservationists. Here we assess a method that has been neglected in this context. We examine and compare distance-based visual detection line-transects and conventional fixed-width transects for assessing a distinctive low abundance species of conservation significance, Myrianthus holstii Engl., in three separate areas, within a steep, disturbed mountain rain forest. Precision and implied accuracy appeared substantially better with the visual detection line-transect than with the fixed-width transect for equivalent costs and effort at all three landscapes but as the two methods provide different estimates there are questions of possible bias in both approaches. We discuss the strengths and weaknesses of the distance approach and suggest some recommendations concerning its application. We conclude that the distance method is suited to low density species that are easily identified, even when understorey vegetation and terrain severely impair visibility. However, due to the differences in detection probabilities, populations need to be stratified both by tree size and context.

主题biodiversity ; tropical forests ; sampling ; inventories
URLhttps://www.cifor.org/library/3599/
来源智库Center for International Forestry Research (Indonesia)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/92035
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GB/T 7714
Dermawan, A.,Petkova, E.,Sinaga, A.C.,et al. Visual detection based distance sampling offers efficient density estimation for distinctive low abundance tropical forest tree species in complex terrain. 2012.
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