吉林蛟河针阔混交林生物与非生物因素对生产力的影响

doi:10.11707/j.1001-7488.LYKX20210495

Abstract

Abstract:

Objective: Taking the fixed sample plot of Jiaohe mixed coniferous and broad-leaved forest in Jilin as the object, this study explores the impact and maintenance role of biological and abiotic factors on forest productivity, providing scientific basis and theoretical guidance for the sustainable management of the mixed coniferous and broad-leaved forest in Northeast China. Method: Multiple regression analysis was used to quantify the impact of explanatory variables (biological factors including unit area basal area, forest differentiation degree, biodiversity, and abiotic factor, namely topographical factor) on the response variable(biomass increment of survivors, biomass increment of recruits, biomass mortality). Determine the relative importance of the above three biomass changes on the net biomass change through variance decomposition. Result: For biomass increment of survivors, all explanatory variables together explained 12.07% of its total variance, with a significant positive effect of basal area per unit stand area and a significant negative effect of slope. For biomass increment of recruits, all explanatory variables together explained 22.62% of its total variance. The coefficient of DBH variation and phylogenetic diversity had significant positive effects on the biomass increment of recruits. Basal area per unit stand area, elevation, and slope showed significant negative relationships with the biomass increment of recruits. For biomass mortality, all explanatory variables together explained 3.51% of its total variance, with a significant positive effect of basal area per unit stand area. The fraction of the total variance of net change in biomass that could be explained by biomass increment of recruits, biomass increment of survivors and biomass mortality was 0.01%, 20.87% and 74.54%, respectively. The relative contribution of biomass mortality to the net biomass change was the largest, but its predictability was low. Conclusion: Basal area per unit stand area had different effects on different processes of biomass dynamics . Basal area per unit stand area promoted biomass mortality as well as the growth of survivors but suppressed the growth of recruits. The tree differentiation degree and phylogenetic diversity enhanced the growth of recruits. Among the topographic factors, the growth of survivors was negatively related with the slope, the growth of recruits was negatively related with the elevation and the slope .The net biomass change was mainly influenced by biomass mortality and biomass increment of survivors.

Key words: basal area per unit stand area, tree differentiation degree, biodiversity, topographic factors, productivity, biomass mortality

CLC Number:

S757.1

Meng Zhang,Xiuhua Fan,Qingmin Yue,Zhuoxiu Han,Yixin Huang. Effects of Biotic and Abiotic Factors on Productivity of Coniferous and Broad-LeavedMixed Forest in Jiaohe, Jilin Province[J]. Scientia Silvae Sinicae, 2023, 59(12): 71-77.

Figures/Tables 4

Table 1

Table 2

Table 3

Table 4

References 0

	郭志华, 臧润国, 蒋有绪. 生物多样性的形态、维持机制及其宏观研究方法. 林业科学, 2002, 38 (6): 116- 124. doi: 10.3321/j.issn:1001-7488.2002.06.020
	Guo Z H, Zang R G, Jiang Y X. The formation and maintenance mechanisms of biodiversity and the research techniques for biodiversity. Scientia Silvae Sinicae, 2002, 38 (6): 116- 124. doi: 10.3321/j.issn:1001-7488.2002.06.020
	谭凌照, 范春雨, 范秀华. 吉林蛟河阔叶红松林木本植物物种多样性及群落结构与生产力的关系. 植物生态学报, 2017, 41 (11): 1149- 1156. doi: 10.17521/cjpe.2016.0321
	Tan L Z, Fan C Y, Fan X H. Relationships between species diversity or community structure and productivity of woody-plants in a broad-leaved Korean pine forest in Jiaohe, Jilin, China. Chinese Journal of Plant Ecology, 2017, 41 (11): 1149- 1156. doi: 10.17521/cjpe.2016.0321
	温　纯, 金光泽. 功能多样性对典型阔叶红松林生产力的影响. 植物生态学报, 2019, 43 (2): 94- 106. doi: 10.17521/cjpe.2018.0312
	Wen C, Jin G Z. Effects of functional diversity on productivity in a typical mixed broadleaved-Korean pine forest. Chinese Journal of Plant Ecology, 2019, 43 (2): 94- 106. doi: 10.17521/cjpe.2018.0312
	吴兆飞, 张雨秋, 张忠辉, 等. 东北温带森林林分结构与生产力关系研究. 北京林业大学学报, 2019, 41 (5): 48- 55. doi: 10.13332/j.1000-1522.20190017
	Wu Z F, Zhang Y Q, Zhang Z H, et al. Study on the relationship between forest structure and productivity oftemperate forests in northeast China. Journal of Beijing Forestry University, 2019, 41 (5): 48- 55. doi: 10.13332/j.1000-1522.20190017
	杨桂娟, 胡海帆, 孙洪刚, 等. 林分年龄, 造林密度和林分自然稀疏对杉木人工林个体大小分化和生产力关系的影响. 林业科学, 2019, 55 (11): 126- 136. doi: 10.11707/j.1001-7488.20191114
	Yang G J, Hu H F, Sun H G, et al. The formation and maintenance mechanisms of biodiversity and the research techniques for biodiversity. Scientia Silvae Sinicae, 2019, 55 (11): 126- 136. doi: 10.11707/j.1001-7488.20191114
	Ali A. Forest stand structure and functioning: Current knowledge and future challenges. Ecological Indicators, 2019, 98, 665- 677. doi: 10.1016/j.ecolind.2018.11.017
	Ali A, Mattsson E. Disentangling the effects of species diversity, and intraspecific and interspecific tree size variation on aboveground biomass in dry zone homegarden agroforestry systems. Science of the Total Environment, 2017, 598, 38- 48. doi: 10.1016/j.scitotenv.2017.04.131
	de Avila A L, van der Sande M T, Dormann C F, et al. Disturbance intensity is a stronger driver of biomass recovery than remaining tree-community attributes in a managed Amazonian forest. Journal of Applied Ecology, 2018, 55 (4): 1647- 1657. doi: 10.1111/1365-2664.13134
	Brienen R J W, Phillips O L, Feldpausch T R, et al. Long-term decline of the Amazon carbon sink. Nature, 2015, 519 (7543): 344- 348. doi: 10.1038/nature14283
	Chao K-J, Phillips O L, Gloor E, et al. 2008. Growth and wood density predict tree mortality in Amazon forests. Journal of Ecology, 96(2) : 281–292.
	Coomes D A, Holdaway R J, Kobe R K, et al. A general integrative framework for modelling woody biomass production and carbon sequestration rates in forests: Forest growth and carbon sequestration rates. Journal of Ecology, 2012, 100 (1): 42- 64. doi: 10.1111/j.1365-2745.2011.01920.x
	Faith D P. Conservation evaluation and phylogenetic diversity. Biological Conservation, 1992, 61 (1): 1- 10. doi: 10.1016/0006-3207(92)91201-3
	Finegan B, Peña-Claros M, de Oliveira A, et al. Does functional trait diversity predict above-ground biomass and productivity of tropical forests? Testing three alternative hypotheses. Journal of Ecology, 2015, 103 (1): 191- 201. doi: 10.1111/1365-2745.12346
	Fortunel C, Lasky J R, Uriarte M, et al. 2018. Topography and neighborhood crowding can interact to shape species growth and distribution in a diverse Amazonian forest. Ecology, 99(10) : 2272–2283.
	Fotis A T, Murphy S J, Ricart R D, et al. 2018. Above-ground biomass is driven by mass-ratio effects and stand structural attributes in a temperate deciduous forest. Journal of Ecology, 106(2) : 561–570.
	Fox J. 2008. Applied regression analysis and generalized linear models. 2rd ed. Los Angeles: SAGE Publications.
	Grime J P 1998. Benefits of plant diversity to ecosystems: immediate, filter and founder effects. Journal of Ecology, 86(6) : 902–910.
	Hao M, Messier C, Geng Y, et al. Functional traits influence biomass and productivity through multiple mechanisms in a temperate secondary forest. European Journal of Forest Research, 2020, 139 (6): 959- 968. doi: 10.1007/s10342-020-01298-0
	Hao M, Zhang C, Zhao X, et al. Functional and phylogenetic diversity determine woody productivity in a temperate forest. Ecology and Evolution, 2018, 8 (5): 2395- 2406. doi: 10.1002/ece3.3857
	Houghton R A, Hall F, Goetz S J. Importance of biomass in the global carbon cycle: biomass in the global carbon cycle. Journal of Geophysical Research:Biogeosciences, 2009, 114 (G2): G00E03.
	Lohbeck M, Poorter L, Martínez-Ramos M, et al. Biomass is the main driver of changes in ecosystem process rates during tropical forest succession. Ecology, 2015, 96 (5): 1242- 1252. doi: 10.1890/14-0472.1
	McDowell N, Allen C D, Anderson-Teixeira K, et al. Drivers and mechanisms of tree mortality in moist tropical forests. New Phytologist, 2018, 219 (3): 851- 869. doi: 10.1111/nph.15027
	Michaletz S T, Cheng D, Kerkhoff A J, et al. Convergence of terrestrial plant production across global climate gradients. Nature, 2014, 512 (7512): 39- 43. doi: 10.1038/nature13470
	Mori A S. Environmental controls on the causes and functional consequences of tree species diversity. Journal of Ecology, 2018, 106 (1): 113- 125. doi: 10.1111/1365-2745.12851
	Ouyang S, Xiang W, Wang X, et al. Effects of stand age, richness and density on productivity in subtropical forests in China. Journal of Ecology, 2019, 107 (5): 2266- 2277. doi: 10.1111/1365-2745.13194
	Prado-Junior J A, Schiavini I, Vale V S, et al. Conservative species drive biomass productivity in tropical dry forests. Journal of Ecology, 2016, 104 (3): 817- 827. doi: 10.1111/1365-2745.12543
	Purschke O, Schmid B C, Sykes M T, et al. Contrasting changes in taxonomic, phylogenetic and functional diversity during a long-term succession: insights into assembly processes. Journal of Ecology, 2013, 101 (4): 857- 866.
	Quesada C A, Phillips O L, Schwarz M, et al. 2012. Basin-wide variations in Amazon forest structure and function are mediated by both soils and climate. Biogeosciences, 9(6) : 2203–2246.
	Ruiz-Benito P, Ratcliffe S, Jump A S, et al. 2017a. Functional diversity underlies demographic responses to environmental variation in European forests: Tree diversity and demography in European forests. Global Ecology and Biogeography, 26(2) : 128–141.
	Ruiz-Benito P, Ratcliffe S, Zavala M A, et al. 2017b. Climate and successional-related changes in functional composition of European forests are strongly driven by tree mortality. Global Change Biology, 23(10) : 4162–4176.
	Stephenson N L, Das A J, Condit R, et al. Rate of tree carbon accumulation increases continuously with tree size. Nature, 2014, 507 (7490): 90- 93.
	van der Sande M T, Peña-Claros M, Ascarrunz N, et al. Abiotic and biotic drivers of biomass change in a Neotropical forest. Journal of Ecology, 2017, 105 (5): 1223- 1234. doi: 10.1111/1365-2745.12756
	Yuan Z, Ali A, Wang S, et al. Abiotic and biotic determinants of coarse woody productivity in temperate mixed forests. Science of The Total Environment, 2018, 630, 422- 431. doi: 10.1016/j.scitotenv.2018.02.125
	Yuan Z, Ali A, Wang S, et al. Temporal stability of aboveground biomass is governed by species asynchrony in temperate forests. Ecological Indicators, 2019, 107, 105661.
	Yue Q, Hao M, Li X, et al. Assessing biotic and abiotic effects on forest productivity in three temperate forests. Ecology and Evolution, 2020, 10 (14): 7887- 7900. doi: 10.1002/ece3.6516
	Zhang Y, Chen H Y H. Individual size inequality links forest diversity and above-ground biomass. Journal of Ecology, 2015, 103 (5): 1245- 1252. doi: 10.1111/1365-2745.12425
	Zhang Y, Chen H Y H, Reich P B. Forest productivity increases with evenness, species richness and trait variation: a global meta-analysis: Diversity and productivity relationships. Journal of Ecology, 2012, 100 (3): 742- 749. doi: 10.1111/j.1365-2745.2011.01944.x

变量 Variables	范围 Range	平均值 Mean	标准偏差 Standard deviation
保留木生产力 Biomass increment of survivors/ (t·hm^–2a^–1)	0.99~11.73	3.30	1.29
进阶木生产力 Biomass increment of recruits/ ( t·hm^–2a^–1)	0.00~0.13	0.02	0.02
死亡量 Biomass mortality/ ( t·hm^–2a^–1)	0.03~44.68	1.48	2.49
生物量净变化量 Net biomass change/ (t·hm^–2a^–1)	–41.46~10.03	1.84	2.80
单位面积胸高断面积 Basal area per unit stand area/ (m²· hm^–2)	14.10~88.05	30.04	7.35
海拔 Elevation/ m	468.57~486.49	477.24	4.20
坡度 Slope/ (°)	0.62~24.16	4.71	4.27
坡向 Aspect/ (°)	0.89~359.26	124.18	85.05

指数 Index	计算公式 Formula
稀释物种丰富度 Rarefied species richness	$S_{\text {rare }}=N_{\mathrm{s}}(N=20) $
物种辛普森指数 Simpson’s diversity index	$ S_{\mathrm{_S}}=1-\displaystyle\sum_{i=1}^{N_{\mathrm{s}}}\left(\dfrac{n_i}{N}\right)^2 $
胸径辛普森指数 DBH Simpson’s diversity index	$D_{\mathrm{s}}=1-\displaystyle\sum_{j=1}^{N_{\mathrm{d}}}\left(\dfrac{n_j}{N}\right)^2 $
胸径变异系数 Coefficient of DBH variation	$\operatorname{VarD}=100 \% \frac{\sqrt{\dfrac{1}{N}\left(\mathrm{DBH}_k-\mu\right)^2}}{\mu} $

指数 Index	变量 Variables	范围 Range	平均值 Mean	标准偏差 Standard deviation
生物多样性 Biodiversity	稀释物种丰富度 Rarefied species richness	5.67~12.09	8.87	1.14
	物种辛普森指数 Simpson's diversity index	0.64~0.92	0.84	0.05
	系统发育多样性指数 Phylogenetic diversity index	891.92~ 1 931.12	1 449.89	181.45
林木分化程度 Degree of tree differentiation	胸径辛普森指数DBH Simpson's diversity index	0.73~0.95	0.89	0.04
林木分化程度 Degree of tree differentiation	胸径变异系数Coefficient of DBH variation	0.58~2.08	1.14	0.20

解释变量 Predictor		保留木生产力 Biomass increment of survivors			进阶木生产力 Biomass increment of recruits			死亡量 Biomass mortality
		系数	标准误	显著性	系数	标准误	显著性	系数	标准误	显著性
		Coefficients	Std. Error	P	Coefficients	Std. Error	P	Coefficients	Std. Error	P
单位面积胸高断面积 Basal area per unit stand area		0.127 8	0.015 3	< 0.000 1***	–0.102 3	0.042 7	0.016 6*	0.187 3	0.045 4	<0.000 1***
林木分化程度 Tree differentiation degree	胸径变异系数 Coefficient of DBH variation	0.000 9	0.006 0	0.879 1	0.388 1	0.044 0	< 0.000 1***	–0.070 4	0.046 4	0.129 3
生物多样性Biodiversity	物种辛普森指数 Simpson's diversity index	0.002 2	0.007 9	0.780 8	0.018 7	0.051 9	0.718 3	–0.006 7	0.024 0	0.779 8
	系统发育多样性指数Phylogenetic diversity	0.000 9	0.005 9	0.884 0	0.117 8	0.049 3	0.016 9*	–0.001 0	0.012 0	0.933 3
	稀释物种丰富度 Rarefied species richness	0.000 9	0.006 0	0.874 5	–0.118 7	0.068 7	0.084 0	–0.014 9	0.033 9	0.659 6
地形因子 Topographic factors	坡向Aspect	0.001 1	0.006 3	0.862 4	0.005 1	0.022 0	0.815 9	0.083 0	0.047 5	0.080 9
地形因子 Topographic factors	海拔Elevation	—	—	—	–0.177 2	0.043 8	<0.000 1***	–0.026 9	0.043 7	0.538 9
	坡度Slope	–0.041 2	0.015 3	0.007 1**	–0.105 4	0.041 8	0.011 7*	–0.080 1	0.045 4	0.077 4
模型校正R² Adjusted R square		12.07%			22.62%			3.51%

[1]	Jiaming Wan,Jiang Lü,Yun Shi,Hang Xu,Zhiqiang Zhang. Effects of Diffuse Radiation on the Gross Primary Productivity of a Poplar Plantation [J]. Scientia Silvae Sinicae, 2023, 59(5): 1-10.
[2]	Xingchang Wang,Fan Liu,Xue Sun,Zhen Jiao,Xiaofeng Sun,Quanzhi Zhang,Xiankui Quan,Chuankuan Wang. Intercomparison of Carbon Fluxes Measured with Eddy Covariance and Inventory Methods in Temperate Secondary Forest [J]. Scientia Silvae Sinicae, 2023, 59(3): 31-43.
[3]	Ri Lu,Chen Wang,Ye Chen,Xixi Xu,Yue Hu,Zheng Chen,Jiaxi Cao,Shuhong Wu,Ling Li,He Gao. Carbon Credit Measurement Method for Mangrove Conservation Carbon Sink Project: a Case Study of Futian Mangrove Nature Reserve in Shenzhen [J]. Scientia Silvae Sinicae, 2023, 59(3): 44-53.
[4]	Yuxing Zhang,Xuejun Wang. Productivity and Carbon Sink Capacity of Eucalyptus Plantations in China from 1973 to 2018 [J]. Scientia Silvae Sinicae, 2023, 59(3): 54-64.
[5]	Yaxiong Zheng,Shaohui Fan,Xuan Zhang,Xiao Zhou,Fengying Guan. Productivity Dynamics of Moso Bamboo (Phyllostachys edulis) Forest after Strip Clearcutting [J]. Scientia Silvae Sinicae, 2023, 59(2): 22-29.
[6]	Zhengya Jin,Chenyu Qian,Chengju Du,Tao Ma,Xiujun Wen,Cai Wang. Research Progress on the Interaction among Termites, Clay, and Ecological Environments [J]. Scientia Silvae Sinicae, 2023, 59(1): 143-150.
[7]	Chunxiang Cheng,Min Yu,Zijun Mao,Lianni Xie,Yongcheng Zhang,Tao Sun,Zuomin Xu,Shuang Wu,Qianni Li,Jia Xu. Spatial-Temporal Evolution and Patterns of Abrupt Changs of NPP in Heilongjiang Province in the Process of Ecological Protection and Restoration in China [J]. Scientia Silvae Sinicae, 2022, 58(7): 23-31.
[8]	Chen Liu,Chunyu Zhang,Xiuhai Zhao. Effects of Disturtance by Thinning on Productivity Stability of Conifer-Broadleaf Mixed Forest in Jiaohe, Jilin Province [J]. Scientia Silvae Sinicae, 2022, 58(3): 1-9.
[9]	Ye Li,Yonghong Shi,Xianjin Xu,Faju Jing,Zhenliang Shi,Guohu Liu,Diqiang Li. Preliminary Survey on the Diversity of Mammalian and Avian in the Non-Protected Area of Burhan Buda Mountain, Qinghai Province, with Infrared Camera-Trapping Technology [J]. Scientia Silvae Sinicae, 2022, 58(12): 155-163.
[10]	Xudong Chang,Guangze Jin. Effects of Topography and Soil Factors on the Decay of Living Trees of Korean Pine [J]. Scientia Silvae Sinicae, 2022, 58(11): 71-82.
[11]	Shuijin Yu,Juan Wang,Haiyan He,Chunyu Zhang,Xiuhai Zhao. Driving Factors of the Temporal Stability of Biomass of Mixed Broadleaf-Conifer Forest [J]. Scientia Silvae Sinicae, 2022, 58(11): 181-190.
[12]	Guangshuang Duan,Yali Zheng,Liang Hong,Xinyu Song,Liyong Fu. A Potential Productivity-Based Approach of Site Quality Evaluation for Larch Pure Forest and Birch-Aspen Mixed Forest [J]. Scientia Silvae Sinicae, 2022, 58(10): 1-9.
[13]	Rundong Li,Wendong Tian,Haiqun Yu,Xinhao Li,Chuan Jin,Peng Liu,Tianshan Zha,Yun Tian. Forest Phenology Estimation and Its Relationships with Corresponding Meteorological Factors Based on Digital Images in Songshan, Beijing, China [J]. Scientia Silvae Sinicae, 2022, 58(1): 89-97.
[14]	Wanze Zhu. Advances in the Carbon Sequestration of Mature Forests [J]. Scientia Silvae Sinicae, 2020, 56(3): 117-126.
[15]	Chao Wang,Yazu Zhang,Jianwen Zeng,Jie Gao,Lu Yan,Dongping Liu. Reproductive Status and Population Size of Wild Crested Ibis (Nipponia nippon) in China [J]. Scientia Silvae Sinicae, 2020, 56(11): 143-150.

Effects of Biotic and Abiotic Factors on Productivity of Coniferous and Broad-LeavedMixed Forest in Jiaohe, Jilin Province

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 4

References 0

Related Articles 15

Recommended Articles

Metrics

Comments