Multi-scale Effects of Central Bar Landscape Class and Pattern on Plant Diversity in Minjiang River: The Case of Minjiang River Basin (Fuzhou Section) Planning

doi:10.16258/j.cnki.1674-5906.2022.12.006

Ecology and Environment ›› 2022, Vol. 31 ›› Issue (12): 2320-2330.DOI: 10.16258/j.cnki.1674-5906.2022.12.006

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Multi-scale Effects of Central Bar Landscape Class and Pattern on Plant Diversity in Minjiang River: The Case of Minjiang River Basin (Fuzhou Section) Planning

XUAN Jin(), LI Zuchan, ZOU Cheng, QIN Zibo, WU Yahua, HUANG Liujing()

College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350000, P. R. China

Received:2022-08-27 Online:2022-12-18 Published:2023-02-15
Contact: HUANG Liujing

江心洲景观类型和格局对植物多样性的多尺度影响——以闽江流域福州段为例

玄锦(), 李祖婵, 邹诚, 秦子博, 吴雅华, 黄柳菁()

福建农林大学风景园林与艺术学院，福建福州 350000

通讯作者: 黄柳菁
作者简介:玄锦（1998年生），女，硕士研究生，研究方向为风景园林生态学。E-mail: 1434097279@qq.com
基金资助:
国家自然科学基金面上项目(32071578);福建省自然科学基金面上项目(2021J01133);福建农林大学学科交叉融合项目(YSYL-xkjc-8)

Abstract

Abstract:

For central bar construction and vegetation conservation, it is critical to investigate the impact of landscape patterns on plant diversity in river cores at various scales. In this study, five river cores in the Fuzhou section of the Minjiang River basin were selected as the study objects, and a total of 23 plant sample sites were surveyed in the central bar for community. Based on the high-definition remote sensing data of 2020 in the research area, six buffers (100, 200, 300, 400, 500, 600 m) at different scales were established with the support of ArcGIS software, respectively, and the landscape pattern indices at landscape level and type level were calculated for each buffer area using Fragstats software. To reveal the landscape pattern indices with the most significant effects on plant diversity, redundancy analysis (RDA) was performed on the landscape pattern indices and plant diversity indices at different scales using Canoco software. The results showed that (1) at the type level, farmland area and shape had a large effect on plant diversity. Among them, farmland area had a significant inhibitory effect on three plant diversities at the 200?500 m scale, with correlation coefficients ranging from ?0.489 to ?0.757. (2) At the landscape level, shape indices FRAC_MN and SHAPE_MN were significantly and negatively correlated with plant diversity at all scales, with correlation coefficients ranging from ?0.3289 to ?0.641. The shape indices FRAC_MN and SHAPE_MN were better indicators of plant diversity at 400 m scale; fragmentation index IJI was negatively correlated with plant diversity at the 100?500 m scale, with correlation coefficients ranging from ?0.4149 to ?0.126; the connectivity index had a small and unstable effect on plant diversity at the 100?600 m scale. Therefore, in the conservation and construction of the central bar, it is necessary to consider the scale effect while optimizing the landscape pattern in order to protect the plant diversity.

Key words: landscape pattern, plant diversity, scale effect, central bar, RDA

摘要：

研究不同尺度下江心洲景观格局对植物多样性的影响对江心洲植被保护与开发建设具有应用价值和实际意义。以闽江流域福州段5个江心洲为研究对象，对江心洲内共23个植物样地进行群落调查，同时基于研究区2020年高清遥感数据，在ArcGIS软件支持下，以植物样地为中心，建立6个（100、200、300、400、500、600 m）不同尺度的缓冲区，应用Fragstats软件计算各缓冲区在景观水平和类型水平上的景观格局指数。在此基础上应用Canoco软件对不同尺度下景观格局指数与植物多样性指数进行冗余分析（RDA），筛选出对植物多样性影响最显著的景观格局指数。结果表明，（1）类型水平上，农田面积和形状对植物多样性有较大影响。其中，农田面积在200—500 m尺度对3个植物多样性有明显抑制作用，相关系数为?0.489— ?0.757。（2）在景观水平上，形状指数FRAC_MN、SHAPE_MN在所有尺度上均与植物多样性呈显著负相关，相关系数为?0.3289— ?0.641，在400 m尺度下FRAC_MN和SHAPE_MN可以更好地指示江心洲的植物多样性；破碎度指数IJI在100—500 m尺度下与植物多样性呈负相关，相关系数为?0.4149— ?0.126；连通性指数在100—600 m尺度对植物多样性有较小且不稳定的影响。因此，在对江心洲的保护和建设中，需要在考虑尺度效应的同时优化景观格局以保护的植物多样性。

关键词: 景观格局, 植物多样性, 尺度效应, 江心洲, 冗余分析

CLC Number:

XUAN Jin, LI Zuchan, ZOU Cheng, QIN Zibo, WU Yahua, HUANG Liujing. Multi-scale Effects of Central Bar Landscape Class and Pattern on Plant Diversity in Minjiang River: The Case of Minjiang River Basin (Fuzhou Section) Planning[J]. Ecology and Environment, 2022, 31(12): 2320-2330.

玄锦, 李祖婵, 邹诚, 秦子博, 吴雅华, 黄柳菁. 江心洲景观类型和格局对植物多样性的多尺度影响——以闽江流域福州段为例[J]. 生态环境学报, 2022, 31(12): 2320-2330.

Figures/Tables 9

Figure 1 Location of the study area and the distribution of sample points

Table 1 Selected landscape pattern metrics in the study

类型 Type	指数缩写 Index abbreviation	数量 Number	选取指数 Selected metric	含义 Index meaning
形状指数 Shape metrics	LSI	1	LSI	景观形状指数
	SHAPE	3	SHAPE_MN、SHAPE_AM、SHAPE_CV	形状指数
	PARA	3	PARA_MN、PARA_AM、PARA_CV	周长面积比
	FRAC	3	FRAC_MN、FRAC_AM、FRAC_CV	分维度指数
	CIRCLE	3	CIRCLE_MN、CIRCLE_AM、CIRCLE_CV	相关外接圆
面积指数 Area metrics	AREA	3	AREA_MN、AREA_AM、AREA_CV	斑块面积
连通性指数 Connectivity metrics	PROX	3	PROX_MN、PROX_AM、PROX_CV	邻近度指数
连通性指数 Connectivity metrics	CONTIG	3	CONTIG_MN、CONTIG_AM、CONTIG_CV	邻近指数
破碎度指数 Fragmentation metrics	GYRATE	3	GYRATE_MN、GYRATE_AM、GYRATE_CV	回旋半径
	IJI	1	IJI	散布与并列指数
	DIVISION	1	DIVISION	景观分割指数
	COHESION	1	COHESION	聚集度指数
总计 Total		28

Table 2 Plant diversity index of each sample sitet

样地 Sample Site	多样性指数 Diversity Index			样地 Sample Site	多样性指数 Diversity Index
样地 Sample Site	D	H	J	样地 Sample Site	D	H	J
1	0.8007	1.971	0.7469	13	0.8253	2.054	0.7782
2	0.4889	1.249	0.4614	14	0.8953	2.453	0.8331
3	0.8833	2.358	0.7521	15	0.7515	1.746	0.7027
4	0.8482	2.305	0.7694	16	0.8665	2.496	0.8076
5	0.8566	2.21	0.8374	17	0.7822	1.916	0.7468
6	0.8722	2.338	0.7941	18	0.7993	1.935	0.7785
7	0.8992	2.46	0.851	19	0.6824	1.265	0.7858
8	0.7564	1.735	0.7897	20	0.3272	0.6659	0.4803
9	0.7684	1.797	0.7493	21	0.7119	1.748	0.7033
10	0.8442	2.06	0.803	22	0.6759	1.629	0.6555
11	0.7465	1.774	0.714	23	0.8471	2.078	0.8364
12	0.656	1.305	0.7285

Figure 2 Landscape type and sample distribution distribution of middle bar

Table 3 Proportion of landscape type area in Jiangxinzhou

土地利用类型 Land use type	林地 Forestland	草地 Grassland	未利用地 Unused land	农田 Agricultural land	建筑用地 Building land	水体 Water	合计 Total
面积 Area/hm²	157.55	47.32	31.78	6.53	0.69	0.45	244.33
占比 Proportion/%	64.49	19.37	13.01	2.67	0.28	0.18	100

Figure 3 RDA between landscape-class leve metrics and plant species in six spatial scales Prefixes A, B, F, and U represent farmland, building land, forestland, and unused land, respectively

Table 4 Correlation coefficients between landscape-class leve metrics and plant species in six spatial scales

尺度 Scale	指数 Index	相关系数 Correlation coefficients
尺度 Scale	指数 Index	D	H	P
100 m	FSHAPE_AM	−0.600*	−0.529*	−0.606**
	FFRAC_AM	−0.604**	−0.545*	−0.591**
	USHAPE_AM	−0.637*	−0.601*	−0.575**
200 m	ACIECLE_MN	−0.641*	−0.557*	−0.663*
	AAREA_MN	−0.697**	−0.601*	−0.735**
	AGYRATE_MN	−0.569*	−0.491	−0.612*
300 m	BPARA_MN	−0.701*	−0.508*	−0.775**
	AAREA_MN	−0.740**	−0.569*	−0.757**
	AAREA_AM	−0.268	−0.156	−0.299
	APARA_MN	0.639**	0.545**	0.571*
400 m	AAREA_MN	−0.491*	−0.489**	−0.644**
	BAREA_MN	−0.387	−0.457	−0.353
	USHAPE_AM	−0.458*	−0.324*	−0.583**
500 m	AAREA_MN	−0.752**	−0.573*	−0.745**
	UPROX_AM	0.451*	0.474*	0.450*
	APARA_MN	0.670**	0.557*	0.548*
600 m	UPROX_MN	0.575**	0.542**	0.617**
	UPARA_CV	0.511*	0.577**	0.501*
	UPROX_AM	0.442*	0.431*	0.447*

Table 5 Pearson’s correlation coefficients of of major landscape indices

景观指数 Landscape index	多样性指数 Diversity Index	相关系数 Correlation coefficients
景观指数 Landscape index	多样性指数 Diversity Index	100 m	200 m	300 m	400 m	500 m	600 m
FRAC_MN	D	−0.458*	−0.361*	−0.463*	−0.609**	−0.462*	−0.473*
	H	−0.465*	−0.328*	−0.424*	−0.576**	−0.423*	−0.419*
	J	−0.459*	−0.341*	−0.551**	−0.637**	−0.550**	$-$ 0.485*
SHAPE_MN	D	−0.551**	−0.356*	−0.557**	−0.660**	−0.541**	−0.577**
	H	−0.556**	−0.339*	−0.521*	−0.557**	−0.507*	−0.544**
	J	−0.519*	−0.409**	−0.559**	−0.641**	−0.543**	−0.476*
SHAPE_AM	D	—	—	—	—	—	−0.216
	H	—	—	—	—	—	−0.223
	J	—	—	—	—	—	−0.097
PARA_MN	D	—	—	—	0.464*	0.399*	0.562**
	H	—	—	—	0.334	0.424*	0.580**
	J	—	—	—	0.477*	0.297	0.363
PARA_AM	D	−0.283*	—	—	—	—	−0.217
	H	−0.299*	—	—	—	—	−0.226
	J	−0.228	—	—	—	—	−0.136
LSI	D	−0.285*	—	—	—	—	—
	H	−0.251	—	—	—	—	—
	J	−0.189	—	—	—	—	—
CIRCLE_AM	D	—	—	—	−0.270	—	—
	H	—	—	—	−0.174	—	—
	J	—	—	—	−0.252	—	—
CIRCLE_MN	D	—	—	−0.461*	—	−0.463*	—
	H	—	—	−0.452*	—	−0.447*	—
	J	—	—	−0.522*	—	−0.502*	—
CIRCLE_CV	D	0.520*	—	—	—	—	—
	H	0.554*	—	—	—	—	—
	J	0.533*	—	—	—	—	—
CONTIG_AM	D	0.064	—	—	—	—	0.179
	H	0.071	—	—	—	—	0.198
	J	0.070	—	—	—	—	0.102
CONTIG_CV	D	—	—	—	0.432*	—	—
	H	—	—	—	0.276	—	—
	J	—	—	—	0.483**	—	—
CONTIG_MN	D	—	—	—	—	—	$- 0$ .463*
	H	—	—	—	—	—	$- 0$ .488*
	J	—	—	—	—	—	$-$ 0.368*
PROX_CV	D	—	0.077	—	—	—	—
	H	—	0.043	—	—	—	—
	J	—	0.218	—	—	—	—
GYRATE_CV	D	—	—	—	0.555**	—	0.518*
	H	—	—	—	0.493*	—	0.521*
	J	—	—	—	0.495*	—	0.363
IJI	D	−0.414*	−0.268	−0.339*	−0.373	−0.314	—
	H	−0.395*	−0.275*	−0.369*	−0.440*	−0.345*	—
	J	−0.268	−0.270	−0.225	−0.126	−0.168	—

Table 5 Pearson’s correlation coefficients of of major landscape indices

景观指数 Landscape index	多样性指数 Diversity Index	相关系数 Correlation coefficients
景观指数 Landscape index	多样性指数 Diversity Index	100 m	200 m	300 m	400 m	500 m	600 m
FRAC_MN	D	−0.458*	−0.361*	−0.463*	−0.609**	−0.462*	−0.473*
	H	−0.465*	−0.328*	−0.424*	−0.576**	−0.423*	−0.419*
	J	−0.459*	−0.341*	−0.551**	−0.637**	−0.550**	$-$ 0.485*
SHAPE_MN	D	−0.551**	−0.356*	−0.557**	−0.660**	−0.541**	−0.577**
	H	−0.556**	−0.339*	−0.521*	−0.557**	−0.507*	−0.544**
	J	−0.519*	−0.409**	−0.559**	−0.641**	−0.543**	−0.476*
SHAPE_AM	D	—	—	—	—	—	−0.216
	H	—	—	—	—	—	−0.223
	J	—	—	—	—	—	−0.097
PARA_MN	D	—	—	—	0.464*	0.399*	0.562**
	H	—	—	—	0.334	0.424*	0.580**
	J	—	—	—	0.477*	0.297	0.363
PARA_AM	D	−0.283*	—	—	—	—	−0.217
	H	−0.299*	—	—	—	—	−0.226
	J	−0.228	—	—	—	—	−0.136
LSI	D	−0.285*	—	—	—	—	—
	H	−0.251	—	—	—	—	—
	J	−0.189	—	—	—	—	—
CIRCLE_AM	D	—	—	—	−0.270	—	—
	H	—	—	—	−0.174	—	—
	J	—	—	—	−0.252	—	—
CIRCLE_MN	D	—	—	−0.461*	—	−0.463*	—
	H	—	—	−0.452*	—	−0.447*	—
	J	—	—	−0.522*	—	−0.502*	—
CIRCLE_CV	D	0.520*	—	—	—	—	—
	H	0.554*	—	—	—	—	—
	J	0.533*	—	—	—	—	—
CONTIG_AM	D	0.064	—	—	—	—	0.179
	H	0.071	—	—	—	—	0.198
	J	0.070	—	—	—	—	0.102
CONTIG_CV	D	—	—	—	0.432*	—	—
	H	—	—	—	0.276	—	—
	J	—	—	—	0.483**	—	—
CONTIG_MN	D	—	—	—	—	—	$- 0$ .463*
	H	—	—	—	—	—	$- 0$ .488*
	J	—	—	—	—	—	$-$ 0.368*
PROX_CV	D	—	0.077	—	—	—	—
	H	—	0.043	—	—	—	—
	J	—	0.218	—	—	—	—
GYRATE_CV	D	—	—	—	0.555**	—	0.518*
	H	—	—	—	0.493*	—	0.521*
	J	—	—	—	0.495*	—	0.363
IJI	D	−0.414*	−0.268	−0.339*	−0.373	−0.314	—
	H	−0.395*	−0.275*	−0.369*	−0.440*	−0.345*	—
	J	−0.268	−0.270	−0.225	−0.126	−0.168	—

Figure 4 RDA between landscape level metrics and indigenous plant species in six spatial scales

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Multi-scale Effects of Central Bar Landscape Class and Pattern on Plant Diversity in Minjiang River: The Case of Minjiang River Basin (Fuzhou Section) Planning

江心洲景观类型和格局对植物多样性的多尺度影响——以闽江流域福州段为例

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