Forest and Grassland Resources Research >
Species resource diversity and population characteristics of Taxus cuspidata in natural distribution areas
Received date: 2024-06-15
Revised date: 2025-01-27
Online published: 2025-08-06
To promote the protection and population recovery of Taxus cuspidata in Northeast China,we analyzed the diversity and density distribution of its natural distribution areas with field investigation data from Laojieling and Zhangguangcailing forest regions in Heilongjiang Province.The results indicated the following:1)The natural distribution area of Taxus cuspidata is rich in forest and grassland resources,with a total of 678 species of wild plants recorded across 93 families and 312 genera.2)The age structure of Taxus cuspidata in Northeast China exhibits a “spindle shape” characterized by a predominance of medium and large trees,resulting in a stable population.The largest number of individuals is found in Tilia amurensis forests,while the highest frequency of occurrence is in the red pine and spruce forests.3)The natural population of Taxus cuspidata is substantial,demonstrating strong spatial aggregation,which correlates significantly with various ecological factors.The most suitable altitude range for population survival is in 650-750 m,primarily located on mountain slopes.Additionally,the population density increases significantly when the slope is steeper than 10°.4)The study area features two high-density regional centers and several sub-dense regional centers,with a population density reaching up to 21 ind.hm2.Density gradually decreases outward from these high-fitness regions,with the southern part of Heilongjiang Province identified as one of the most suitable natural distribution areas for the species.
Wancai ZHU , Yan PAN , Qifeng LIU , Yueqian LI , Yan WANG . Species resource diversity and population characteristics of Taxus cuspidata in natural distribution areas[J]. Forest and Grassland Resources Research, 2025 , 0(1) : 137 -144 . DOI: 10.13466/j.cnki.lczyyj.2025.01.015
| [1] | 吴榜华, 戚继忠. 东北红豆杉植物地理学研究[J]. 应用与环境生物学报, 1995, 1(3):219-225. |
| [2] | 吴鑫磊. 不同东北红豆杉生境内的群落特征和种间关联性[D]. 北京: 北京林业大学, 2022. |
| [3] | 崔海超, 郑文艺, 张智慧, 等. 不同红豆杉属植物中7种紫杉烷类化合物的HPLC检测与分析[J]. 森林工程, 2022, 38(4):118-124. |
| [4] | 张雅静. 东北红豆杉中紫杉烷类化合物的高效提纯及网络药理学研究[D]. 长春: 吉林大学, 2023. |
| [5] | SHI Qiwei, LI Zhiping, WANG Zhiliang, et al. New taxanes from the seeds of Taxus mairei[J]. Journal of Asian Natural Products Research, 2006, 8(5):431-437. |
| [6] | 吴榜华, 臧润国, 张启昌, 等. 东北红豆杉种群结构与空间分布型的分析[J]. 吉林林学院学报, 1993, 9(2):1-6. |
| [7] | 陈舒豪, 程广有. 基于MaxEnt模型的东北红豆杉潜在适生区预测[J]. 北华大学学报(自然科学版), 2022, 23(3):302-310. |
| [8] | 陈杰, 龙婷, 杨蓝, 等. 东北红豆杉生境适宜性评价[J]. 北京林业大学学报, 2019, 41(4):51-59. |
| [9] | 万基中, 王春晶, 韩士杰, 等. 应用GIS和Maxent预测南方红豆杉潜在地理分布及其保护建议[J]. 江苏农业科学, 2014, 42(7):349-352. |
| [10] | 苏金源. 东北红豆杉种群历史动态研究[D]. 北京: 北京林业大学, 2019. |
| [11] | 刘婷, 曹家豪, 齐瑞, 等. 基于GIS和MaxEnt模型分析气候变化背景下紫果云杉的潜在分布区[J]. 西北植物学报, 2022, 42(3):481-491. |
| [12] | 赵明亮, 程立超. 东北红豆杉研究进展[J]. 中国林副特产, 2013(4):93-95. |
| [13] | 周志强, 刘彤, 袁继连. 黑龙江穆棱天然东北红豆杉种群资源特征研究[J]. 植物生态学报, 2004, 28(4):476-482. |
| [14] | 方精云, 王襄平, 沈泽昊, 等. 植物群落清查的主要内容、方法和技术规范[J]. 生物多样性, 2009, 17(6):533-548. |
| [15] | FROST I, RYDIN H. Spatial pattern and size distribution of the animal-dispersed tree Quercus robur in two spruce-dominated forests[J]. écoscience, 2000, 7(1):38-44. |
| [16] | 吴明开, 沈志君, 刘海, 等. 梵净山自然保护区珙桐天然种群生命表与生存分析[J]. 生态学杂志, 2012, 31(6):1419-1424. |
| [17] | 朱浩楠, 刘晓冉, 李永华, 等. 考虑地形的空间插值算法在复杂下垫面地区气温和降水精细化插值的评估[J]. 气象, 2020, 46(5):655-665. |
| [18] | MICHALCZAK M, LIGAS M. The(ultra)short term prediction of length-of-day using Kriging[J]. Advances in Space Research, 2022, 70(3):610-620. |
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