云冷杉天然次生林死木分布格局及空间关联性

doi:10.13287/j.1001-9332.202108.003

应用生态学报 ›› 2021, Vol. 32 ›› Issue (8): 2745-2754.doi: 10.13287/j.1001-9332.202108.003

云冷杉天然次生林死木分布格局及空间关联性

陈科屹¹, 张会儒^2*, 张博³, 何友均¹

¹中国林业科学研究院林业科技信息研究所, 北京 100091;
²中国林业科学研究院资源信息研究所, 北京 100091;
³北京林业大学森林资源和环境管理国家林业局重点实验室, 北京 100083

收稿日期:2021-01-16 接受日期:2021-03-31 出版日期:2021-08-15 发布日期:2022-02-15
通讯作者: *E-mail: huiru@caf.ac.cn
作者简介:陈科屹, 男, 1989年生, 博士, 助理研究员。主要从事森林可持续经营理论与技术研究。E-mail: lowrychen@sina.com
基金资助:
国家重点研发计划项目(2017YFC0504101)资助

Spatial distribution and associations of dead woods in natural spruce-fir secondary forests

CHEN Ke-yi¹, ZHANG Hui-ru^2*, ZHANG Bo³, HE You-jun¹

¹Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China;
²Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;
³State Forestry Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing 100083, China

Received:2021-01-16 Accepted:2021-03-31 Online:2021-08-15 Published:2022-02-15
Contact: *E-mail: huiru@caf.ac.cn
Supported by:
National Key Research and Development Program of China (2017YFC0504101)

摘要/Abstract

摘要： 为揭示天然次生林群落演替规律,以吉林省汪清林业局金沟岭林场的云冷杉天然次生林为对象,采用相邻网格法调查样地(100 m×100 m)内每株林木(DBH≥1 cm)的基本特征及坐标位置,研究死木的分布格局及空间关联性。结果表明: 死木的径级分布呈左偏单峰山状分布,其中枯倒木呈多峰山状分布;各树种的死木株数与该树种的总株数没有必然联系;树种死木株数与树种混交度之间存在显著负指数关系;死木主要在0～8 m尺度上呈聚集分布,随着尺度的增大,逐渐转变为随机分布或均匀分布,以随机分布为主;中(10 cm≤DBH＜20 cm)、小径级(1 cm≤DBH＜10 cm)死木在8 m以下的小尺度上的聚集分布是造成死木总体在小尺度上呈聚集分布的主要原因。不同径级死木与不同径级活立木的空间关联性差异较大,死木与幼树(1 cm≤DBH＜5 cm)的关系较为明显,尤其是大径级死木与幼树在2～25 m尺度上呈显著正关联性;死木与小树(5 cm≤DBH＜15 cm)没有明显的关联性;中、小径级死木与中树(15 cm≤DBH＜25 cm)在0～3 m尺度上呈正关联性,与大树(DBH≥25 cm)分别在9、11～14 m以及15、42～45 m尺度上呈负关联性。树种在生物学特性、径级分布和空间布局上的差异影响着死木的株数和径级分布;混交程度低的树种可能出现较多的死木;死木空间分布格局随林木径级和研究尺度的大小产生变化;死木与活立木的空间关联性在不同径级和不同尺度上呈现出明显差异。

关键词: 分布格局, 空间关联, 树种隔离, 死木, 云冷杉林

Abstract: To reveal the community succession rule of natural secondary forest, we investigated basic characteristics and coordinates of each tree (DBH≥1 cm) within a plot (100 m×100 m) using the adjacent grid method and examined the distribution pattern and spatial associations of dead woods in a natural spruce-fir secondary forest in Jingouling Forest Farm, Wangqing Forestry Bureau, Jilin Province, China. The results showed that the diameter class distribution of dead woods showed the pattern of left single-peak curve, while the logs showed the pattern of multi-peak curve. The relationship between the abundance of dead woods and the standing individuals of a particular species was inconsistent. There was a significant negative exponential relationship between the number of dead woods and mixing degree of trees. The distribution of dead woods was concentrated at the 0-8 m scale. With the increases of scale, it gradually changed to random or uniform, with the random distribution being dominant. The aggregation distribution of dead woods with middle (10 cm≤DBH＜20 cm) and small (1 cm≤DBH＜10 cm) DBH was the main reason for the aggregation distribution of dead woods at small scale below 8 m. The spatial associations between dead woods and stan-ding trees at different diameter classes were significantly different. The relationship between dead woods and saplings (1 cm≤DBH＜5 cm) was closely correlated. The dead woods with large DBH and saplings showed a significant positive association at 2-25 m scale. There was no spatial association between dead woods and small trees (5 cm≤DBH＜15 cm). At the 0-3 m scale, there was a positive association between the middle trees (15 cm≤DBH＜25 cm) and dead woods of small and middle DBH. At the 9, 11-14 and 15, 42-45 m scales, dead woods of small and middle DBH were significantly negatively associated with large trees (DBH≥25 cm). In conclusion, biological traits, diameter class distribution, and spatial distribution affected the abundance and diameter class distribution of dead woods. The species with low mixing degree tended to have more dead woods. The diameter and scale would affect the spatial distribution of dead woods. The spatial correlation between dead woods and standing trees varied across diameter classes and scales.

Key words: distribution pattern, spatial association, spatial isolation of species, dead wood, spruce-fir forest

陈科屹, 张会儒, 张博, 何友均. 云冷杉天然次生林死木分布格局及空间关联性[J]. 应用生态学报, 2021, 32(8): 2745-2754.

CHEN Ke-yi, ZHANG Hui-ru, ZHANG Bo, HE You-jun. Spatial distribution and associations of dead woods in natural spruce-fir secondary forests[J]. Chinese Journal of Applied Ecology, 2021, 32(8): 2745-2754.

参考文献

[1] Franklin JF, Harmon ME. Tree death as an ecological process. Bioscience, 1987, 37: 550-556
[2] Harmon ME, Franklin JF, Swanson FJ, et al. Ecology of coarse woody debris in temperate ecosystems. Advances in Ecological Research, 1986, 15: 133-302
[3] Teodosiu M, Bouriaud OB. Deadwood specific density and its influential factors: A case study from a pure Norway spruce old-growth forest in the Eastern Carpathians. Forest Ecology and Management, 2012, 283: 77-85
[4] 谷会岩, 代力民, 王顺忠, 等. 人为干扰对长白山红松针阔叶混交林粗木质残体的影响. 林业科学, 2006, 42(10): 1-5 [Gu H-Y, Dai L-M, Wang S-Z, et al. Effect of human disturbance on coarse woody debris in Korean pine and broad-leaved mixed forest on Changbai Mountain. Scientia Silvae Sinicae, 2006, 42(10): 1-5]
[5] 刘妍妍, 金光泽. 小兴安岭阔叶红松林粗木质残体基础特征. 林业科学, 2010, 46(4): 8-14 [Liu Y-Y, Jin G-Z. Character of coarse woody debris in a mixed broad-leaved Korean pine forest in Xiaoxing’an Mountains, China. Scientia Silvae Sinicae, 2010, 46(4): 8-14]
[6] Nappi A, Drapeau P, Leduc A. How important is dead wood for woodpeckers foraging in eastern North American boreal forests? Forest Ecology and Management, 2015, 346: 10-21
[7] Kunttu P, Junninen K, Kouki J. Dead wood as an indicator of forest naturalness: A comparison of methods. Forest Ecology and Management, 2015, 353: 30-40
[8] 任毅华, 罗大庆, 周尧治, 等. 西藏色季拉山急尖长苞冷杉原始林粗木质残体空间格局分析. 生态学报, 2019, 39(21): 8048-8057 [Ren Y-H, Luo D-Q, Zhou R-Z, et al. Spatial distribution patterns of coarse woody debris in the Abies georgei var. smithii pristine forest in the Sejila Mountain. Acta Ecologica Sinica, 2019, 39(21): 8048-8057]
[9] Harper KA, Bergeron Y, Drapeau P, et al. Changes in spatial pattern of trees and snags during structural deve-lopment in Picea mariana boreal forests. Journal of Vegetation Science, 2006, 17: 625-636
[10] Escandón AB, Paula S, Rojas R, et al. Sprouting extends the regeneration niche in temperate rain forests: The case of the long-lived tree Eucryphia cordifolia. Forest Ecology and Management, 2013, 310: 321-326
[11] Baldeck CA, Harms KE, Yavitt JB, et al. Habitat filtering across tree life stages in tropical forest communities. Proceedings of the Royal Society B: Biological Sciences, 2013, 280: 267-290
[12] Dale MR. Spatial Pattern Analysis in Plant Ecology. Cambridge, UK: Cambridge University Press, 1999
[13] Druckenbrod DL, Shugart HH, Davies I. Spatial pattern and process in forest stands within the Virginia piedmont. Journal of Vegetation Science, 2005, 16: 37-48
[14] Allen MS, Thapa V, Arevalo JR, et al. Windstorm damage and forest recovery: Accelerated succession, stand structure, and spatial pattern over 25 years in two Minnesota forests. Plant Ecology, 2012, 213: 1833-1842
[15] 闫恩荣, 王希华, 黄建军. 森林粗死木质残体的概念及其分类. 生态学报, 2005, 25(1): 158-167 [Yan E-R, Wang X-H, Huang J-J. Concept and classification of coarse woody debris in forest ecosystems. Acta Ecolo-gica Sinica, 2005, 25(1): 158-167]
[16] 张利敏, 王传宽. 东北东部山区11种温带树种粗木质残体分解与碳氮释放. 植物生态学报, 2010, 34(4): 368-374 [Zhang L-M, Wang C-K. Carbon and nitrogen release during decomposition of coarse woody debris for eleven temperate tree species in the eastern mountain region of northeast China. Chinese Journal of Plant Ecology, 2010, 34(4): 368-374]
[17] 赵嘉诚. 吉林省死木碳库动态. 硕士论文. 北京: 中国林业科学研究院, 2018 [Zhang J-C. Dynamics of Deadwoods Carbon Storage in Jilin Province. Master Thesis. Beijing: Chinese Academy of Forestry, 2018]
[18] Condit R, Ashton PS, Baker P, et al. Spatial patterns in the distribution of tropical tree species. Science, 2000, 288: 1414-1418
[19] 娄明华, 汤孟平, 仇建习, 等. 基于相邻木排列关系的混交度研究. 生态学报, 2012, 32(24): 7774-7780 [Lou M-H, Tang M-P, Qiu J-X, et al. Study of mingling based on neighborhood spatial permutation. Acta Ecologica Sinica, 2012, 32(24): 7774-7780]
[20] 惠刚盈, 克劳斯·冯佳多. 森林空间结构量化分析方法. 北京: 中国林业出版社, 2003 [Hui G-Y, Gadow KV. The Quantitative Analysis of Forest Spatial Structure Method. Beijing: China Forestry Press, 2003]
[21] 汤孟平. 森林空间经营理论与实践. 北京: 中国林业出版社, 2007 [Tang M-P. Theory and Practice of Spatial Management of Forest. Beijing: China Forestry Press, 2007]
[22] Ripley BD. The second-order analysis of stationary point processes. Journal of Applied Probability, 1976, 13: 255-266
[23] Wiegand T, Moloney KA. Rings, circles, and null-models for point pattern analysis in ecology. Oikos, 2004, 104: 209-229
[24] Wiegand T, Moloney KA. Handbook of Spatial Point Pattern Analysis in Ecology. Boca Raton, FL, USA: CRC Press, 2013
[25] Wiegand T, Huth A, Getzin S, et al. Testing the independent species’ arrangement assertion made by theories of stochastic geometry of biodiversity. Proceedings of the Royal Society B: Biological Sciences, 2012, 279: 3312-3320
[26] Loosmore NB, Ford ED. Statistical inference using the G or K point pattern spatial statistics. Ecology, 2006, 87: 1925-1931
[27] 安云, 丁国栋, 高广磊, 等. 华北土石山区天然次生林枯立木数量特征与分布格局. 水土保持通报, 2012, 32(4): 246-250 [An Y, Ding G-D, Gao G-L, et al. Quantity characteristics and distribution pattern of standing dead trees in natural secondary forests of rocky mountain area in northern China. Bulletin of Soil and Water Conservation, 2012, 32(4): 246-250]
[28] 玉宝, 张秋良, 王立明. 兴安落叶松过伐林枯立木分布格局特征分析. 林业科学研究, 2015, 28(1): 81-87 [Yu B, Zhang Q-L, Wang L-M. Analysis on distribution pattern characteristics of standing dead trees in Larix gmelinii overcutting forest. Forest Research, 2015, 28(1): 81-87]
[29] 吴友贵, 许大明, 兰荣光, 等. 百山祖常绿阔叶林优势种群枯死木的结构特征. 植物研究, 2015, 35(3): 436-442 [Wu Y-G, Xu D-M, Lan R-G, et al. Structure characteristics of dead tree in dominant species populations in an evergreen broad-leaved forest of Bai-shanzu. Bulletin of Botanical Research, 2015, 35(3): 436-442]
[30] 卢志军, 刘福玲, 吴浩, 等. 八大公山常绿落叶阔叶混交林枯立木物种组成、大小级与分布格局. 生物多样性, 2015, 23(2): 167-173 [Lu Z-J, Liu F-L, Wu H, et al. Species composition, size class, and spatial patterns of snags in the Badagongshan (BDGS) mixed evergreen and deciduous broad-leaved forest in central China. Biodiversity Science, 2015, 23(2): 167-173]
[31] 郭屹立, 王斌, 向悟生, 等. 桂西南喀斯特季节性雨林枯立木的空间格局及生境关联性分析. 广西植物, 2016, 36(2): 154-161 [Guo Y-L, Wang B, Xiang W-S, et al. Spatial distribution and habitat-association of snags in the tropical karst seasonal rainforest of Southwest Guangxi, China. Guihaia, 2016, 36(2): 154-161]
[32] 张金屯. 数量生态学. 北京: 科学出版社, 2011 [Zhang J-T. Quantitative Ecology. 2nd Ed. Beijing: Science Press, 2011]

云冷杉天然次生林死木分布格局及空间关联性

Spatial distribution and associations of dead woods in natural spruce-fir secondary forests

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