文献类型：期刊文献

英文题名：Comparison of density and basal area estimation of mountain natural forests based on distance-based sampling methods in Zhejiang, China

作者：Zhang, Gongqiao[1] Peng, Hui[2] Zhou, Hongmin[3] Ji, Xinliang[2] Zhang, Shusheng[4]

第一作者：张弓乔

通信作者：Peng, H[1];Zhang, SS[2]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat Natl Forestry &, Box 1958, Beijing 100091, Peoples R China;[2]Adm Fengyangshan Natl Nat Reserve, Longquan 323700, Peoples R China;[3]Forestry Acad Longquan City, Longquan 323700, Peoples R China;[4]Wuyanling Natl Nat Reserve Management Bur, Taishun 325500, Peoples R China

年份：2022

卷号：68

外文期刊名：ECOLOGICAL INFORMATICS

收录：;Scopus(收录号：2-s2.0-85123696543);WOS:【SCI-EXPANDED(收录号:WOS:000792790600007)】；

基金：Cooperation project between Zhejiang Province and Chinese & nbsp;Academy of Forestry: Research and demonstration of forest quality improvement technology based on forest spatial structure optimization (2020SY04). This funding is gratefully acknowledged.

语种：英文

外文关键词：Natural forest; Sampling method; Estimation; Stand density; Stand basal area

摘要：Objective: The sustainable development of forest ecology and forest management practices is inseparable from the support of forest surveys. Different sampling methods have an unavoidable impact on the collection of natural community characteristic information. An appropriate method reduces the cost of the investigation to the maximum degree under the premise of ensuring accuracy. Distance-based sampling methods are widely used because of their excellent performance in estimating forest population characteristics. The purpose of this study is to compare and find an efficient sampling method of natural broad-leaved forests in mountainous areas of Zhejiang, China, which is of great significance to large-scale field survey practice in similar areas. Method: Our study used census survey data from fixed monitoring sample plots of natural broad-leaved forest in Wuyanling National Nature Reserve, Zhejiang, China as an example and simulated different distance-based sampling methods, including n-tree distance (NTD), point-centered quarter (PCQ), and T-square (Ts), combined with several estimators to estimate the stand density and basal area. The results were compared with the actual mean values of the 100% survey. Result: We found that different sampling methods and estimators significantly influenced the results. NTD1 overestimated both the stand density and basal area, while NTD2 performed the best, with the lowest RMSE. Secondary performance was obtained with Ts3, Ts5, and Ts6, with small RMSEs of density and basal area. The RMSEs of the PCQ and Ts sampling methods based on a single distance were all large. Conclusion: The NTD sampling method with the NTD2 estimator is recommended to estimate the stand density and basal area for field investigation of natural forests in the Zhejiang mountainous area.