浙江定海次生林内物种丰富度与生物量和生产力关系的环境依赖性

doi:10.17520/biods.2017320

生物多样性 ›› 2018, Vol. 26 ›› Issue (6): 545-553. DOI: 10.17520/biods.2017320

• 研究报告: 植物多样性 • 上一篇下一篇

浙江定海次生林内物种丰富度与生物量和生产力关系的环境依赖性

吴初平¹, 韩文娟², 江波¹, 刘博文³, 袁位高¹, 沈爱华^1,^*(), 黄玉洁¹, 朱锦茹¹

1 浙江省林业科学研究院, 杭州 310023
2 浙江师范大学化学与生命科学学院, 浙江金华 321000
3 浙江省舟山市定海区农林与海洋渔业局, 浙江定海 316100

收稿日期:2017-12-01 接受日期:2018-04-02 出版日期:2018-06-20 发布日期:2018-09-11
通讯作者: 沈爱华
作者简介:# 共同第一作者
基金资助:
浙江省重大科技专项重点农业项目(2015C02016)和浙江省自然科学基金青年基金(LQ18C030001)

Relationships between species richness and biomass/productivity depend on environmental factors in secondary forests of Dinghai, Zhejiang Province

Chuping Wu¹, Wenjuan Han², Bo Jiang¹, Bowen Liu³, Weigao Yuan¹, Aihua Shen^1,^*(), Yujie Huang¹, Jinru Zhu¹

1 Zhejiang Academy of Forestry, Hangzhou 310023
2 College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, Zhejiang 321000
3 Ministry of Agriculture, Forestry and Fisheries of Dinghai District, Zhoushan City, Zhejiang Province, Dinghai, Zhejiang 316100

Received:2017-12-01 Accepted:2018-04-02 Online:2018-06-20 Published:2018-09-11
Contact: Shen Aihua
About author:# Co-first authors

摘要/Abstract

摘要：

迄今生物多样性与生态系统功能关系的研究主要在物种组成随机配置的人工生态系统中进行, 在自然生态系统中研究较少, 且未考虑环境因子如何影响生态系统功能及其与生物多样性的关系。本研究选取亚热带广泛分布的次生林为研究对象, 利用模型拟合的方法, 探讨亚热带次生林中物种丰富度与生物量和生产力之间的关系, 以及环境因子(海拔、坡度、坡向、土层厚度)和次生林恢复时间(林龄)对生物量、生产力、物种丰富度与生物量和生产力间关系的影响。结果表明, 当不考虑环境因子时, 物种丰富度与生物量之间存在显著的线性正相关关系, 而与生产力之间存在显著的二次关系(先增加后减少的驼峰型)。当考虑环境因子时, 个体密度和土层厚度对生物量具有显著影响, 而环境因子对生产力并无显著效应。在坡度较陡、坡向朝南及土层较厚的环境条件下, 物种丰富度与生物量具有显著的线性正相关关系; 而在坡度较缓、坡向朝北及土层较薄的环境条件下, 物种丰富度不影响生物量。在较高海拔环境条件下, 生产力随物种丰富度先增加后减少(驼峰形状), 而在其他环境条件下, 生产力均不响应物种丰富度。以上结果说明自然森林生态系统中物种丰富度与生物量和生产力的关系存在差异, 且其相互间的关系依赖于环境因子。

关键词: 生物多样性, 生态系统功能, 亚热带次生林, 环境因子, 浙江

Abstract

Experimental studies of the relationship between biodiversity and ecosystem functioning (BEF) have mainly been conducted in artificial ecosystems with randomly assembled species, highlighting the need of testing this relationship in real world. In particular, these studies did not consider the effects of environmental factors on the relationship between biodiversity and ecosystem functioning. Hence, we used secondary forests, which are widely distributed in the subtropics, as research objects. We used model fitting methods to study the relationship between species richness and biomass/productivity. Meanwhile, we also explored the effects of environmental factors (e.g., elevation, aspect, slope, and soil depth) on biomass and productivity and on BEF relationships. Our results showed that there was a significant linear correlation between species richness and biomass, and a quartic correlation between species richness and productivity (i.e., humped curve) when environmental factors were not considered. Considering that biomass was significantly affected by stem density and soil depth, while productivity was not affected by environmental factors, we found that only under the environmental conditions characterized by steep slopes, south aspects, or higher soil depths, was species richness significantly correlated with biomass. The relationship between species richness and productivity showed a significant quadratic correlation under higher elevation, but not under any other environmental conditions. These results suggest that the relationship between species richness and productivity is different from the relationship between species richness and biomass, and both these relationships depend on environmental factors.

Key words: biodiversity, ecosystem functioning, subtropical forest, environmental gradient, Zhejiang

吴初平, 韩文娟, 江波, 刘博文, 袁位高, 沈爱华, 黄玉洁, 朱锦茹 (2018) 浙江定海次生林内物种丰富度与生物量和生产力关系的环境依赖性. 生物多样性, 26, 545-553. DOI: 10.17520/biods.2017320.

Chuping Wu, Wenjuan Han, Bo Jiang, Bowen Liu, Weigao Yuan, Aihua Shen, Yujie Huang, Jinru Zhu (2018) Relationships between species richness and biomass/productivity depend on environmental factors in secondary forests of Dinghai, Zhejiang Province. Biodiversity Science, 26, 545-553. DOI: 10.17520/biods.2017320.

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链接本文: https://www.biodiversity-science.net/CN/10.17520/biods.2017320

https://www.biodiversity-science.net/CN/Y2018/V26/I6/545

图/表 5

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模型 Models	F	R²	P	AICc
BIO~S	5.436	0.110	0.02	818.941
BIO~ S + S²	2.700	0.116	0.07	821.261
∆BIO~S	0.545	0.012	0.46	-34.944
∆BIO ~ S + S²	3.075	0.125	0.05	-38.123

模型 Models	F	R²	P	AICc
BIO~S	5.436	0.110	0.02	818.941
BIO~ S + S²	2.700	0.116	0.07	821.261
∆BIO~S	0.545	0.012	0.46	-34.944
∆BIO ~ S + S²	3.075	0.125	0.05	-38.123

		估计值 Estimate	标准误 SE	t	P
生物量 Biomass (BIO)	截距 Intercept	8.141	0.073	111.036	< 0.001
生物量 Biomass (BIO)	个体密度 Density (ind./ha)	0.221	0.076	2.900	< 0.01
	土壤厚度 Soil depth (cm)	0.136	0.075	1.815	0.07
	物种丰富度 Species richness	0.126	0.076	1.646	0.10
生产力 Productivity (∆BIO)	截距 Intercept	0.147	0.020	7.665	< 0.001
	物种丰富度 Species richness	0.265	0.103	2.590	< 0.05
	物种丰富度的平方 Square of species richness	-0.249	0.102	-2.434	< 0.05

		估计值 Estimate	标准误 SE	t	P
生物量 Biomass (BIO)	截距 Intercept	8.141	0.073	111.036	< 0.001
生物量 Biomass (BIO)	个体密度 Density (ind./ha)	0.221	0.076	2.900	< 0.01
	土壤厚度 Soil depth (cm)	0.136	0.075	1.815	0.07
	物种丰富度 Species richness	0.126	0.076	1.646	0.10
生产力 Productivity (∆BIO)	截距 Intercept	0.147	0.020	7.665	< 0.001
	物种丰富度 Species richness	0.265	0.103	2.590	< 0.05
	物种丰富度的平方 Square of species richness	-0.249	0.102	-2.434	< 0.05

	范围 Ranges	样方数 No. of plots	功能变量 Functions	一次方程 Linear equation			R²	二次方程 Quadratic equation			R²	ΔAICc
	范围 Ranges	样方数 No. of plots	功能变量 Functions	BIC	AICc	Sig.	R²	BIC	AICc	Sig.	R²	ΔAICc
海拔 Elevation (m)	≤ 65	23	BIO	423.583	421.439	+	0.07	426.317	423.997	+, -	0.08	2.558
	≤ 65	23	∆BIO	-3.744	-5.887	+	0.02	-3.257	-5.577	+, -	0.12	0.310
	> 65	23	BIO	403.055	400.912	+	0.20^*	405.131	402.811	-, +	0.23^#	1.899
	> 65	23	∆BIO	-23.754	-25.897	+	0.02	-26.458	-28.778	+, -	0.24^#	-2.881
坡度 Slope	≤ 20°	33	BIO	596.410	592.748	+	0.01	598.983	594.426	+, -	004	1.678
	≤ 20°	33	∆BIO	-15.746	-19.408	+	0.03	-14.324	-18.882	+, -	0.09	0.526
	> 20°	13	BIO	227.108	228.079	+	0.59^**	227.930	230.671	-, +	0.64^**	2.592
	> 20°	13	∆BIO	-10.178	-9.206	+	0.01	-11.306	-8.566	+, -	0.24	0.640
坡向 Aspect	南、西南 South, Southwest	21	BIO	370.428	368.706	+	0.19^*	371.462	369.784	-, +	0.26^#	1.078
	西、东南 West, Southeast	21	∆BIO	-25.380	-27.102	+	0.01	-26.650	-28.328	+, -	0.19	-1.226
	东、东北 East, Northeast	25	BIO	456.261	453.747	+	0.07	457.746	454.871	+, -	0.14	1.124
	北、西北 North, Northwest	25	∆BIO	-4.620	-7.133	+	0.02	-3.648	-6.524	+, -	0.10	0.609
土层厚度 Soil depth (cm)	< 40	26	BIO	454.222	451.539	+	0.01	457.463	454.335	+, -	0.01	2.996
	< 40	26	∆BIO	-14.875	-17.559	+	0.04	-11.992	-15.119	+, -	0.06	2.440
	≥ 40	20	BIO	367.197	365.710	+	0.14^#	369.428	368.112	+, -	0.17	2.402
	≥ 40	20	∆BIO	-12.855	-14.342	+	0.03	-13.070	-14.386	+, -	0.17	-0.044
林龄 Forest age	≤ 15	22	BIO	404.116	402.176	+	0.05	406.959	404.948	-, +	0.06	2.772
	≤ 15	22	∆BIO	-13.638	-15.578	-	0.01	-14.995	-17.006	+, -	0.14	-1.428
	> 15	24	BIO	422.094	419.760	+	0.20^*	425.249	422.642	-, +	0.20^#	2.882
	> 15	24	∆BIO	-9.905	-12.239	+	0.02	-8.569	-11.176	+, -	0.09	1.063

浙江定海次生林内物种丰富度与生物量和生产力关系的环境依赖性

Relationships between species richness and biomass/productivity depend on environmental factors in secondary forests of Dinghai, Zhejiang Province

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