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基于结构方程模型分析森林草原带草本物种丰富度对景观因子的响应
引用本文:田晓敏,郑建伟,王冬至,黄选瑞,张志东.基于结构方程模型分析森林草原带草本物种丰富度对景观因子的响应[J].生态学报,2018,38(13):4649-4656.
作者姓名:田晓敏  郑建伟  王冬至  黄选瑞  张志东
作者单位:北京林业大学精准林业北京市重点实验室省部共建森林培育与保护重点实验室;河北农业大学林学院河北省林木种质资源与森林保护重点实验室
基金项目:国家自然科学基金项目(31370636)
摘    要:受损景观是由不同比例的植被斑块组成的镶嵌体,阐明植被斑块的景观结构特征对物种多样性的影响,有助于提高受损景观物种多样性保护。在塞罕坝自然保护区选取38个天然植被斑块,其中包括12个草地、11个灌木林和15个天然次生林。根据光合作用的不同途径将草本物种划分为C_3和C_4功能群。选取斑块面积、形状指数、隔离度指数及每个斑块500 m缓冲区内的森林和草地比例作为景观因子。通过结构方程模型探讨C_3、C_4草本物种丰富度与景观因子的相互关系。斑块面积(2.18—74.06 hm~2)与C_3、C_4草本及总物种丰富度分布格局均具有显著的正相关关系(P0.05),且对C_3草本的影响最大;形状指数(1.06—3.11)、隔离度指数(33.51—327.65)对C_3、C_4草本及总物种丰富度影响不显著(P0.05);C_3、C_4草本及总物种丰富度与毗邻斑块草地比例(4.20%—64.95%)呈正相关,而与森林比例(35.05%—95.80%)呈负相关。研究区斑块面积和毗邻斑块植被构成是影响C_3、C_4草本植物的主要因素。在破碎化景观中保存面积大的天然植被斑块及提高毗邻斑块草地比例是保护关键C_3、C_4草本植物物种的有效途径。

关 键 词:结构方程模型  C3草本植物  C4草本植物  物种丰富度  景观格局
收稿时间:2017/6/5 0:00:00
修稿时间:2018/2/5 0:00:00

Structural equation modeling analysis of theresponse of herbaceous species richness to landscape factors in a forest-steppe zone
TIAN Xiaomin,ZHENG Jianwei,WANG Dongzhi,HUANG Xuanrui and ZHANG Zhidong.Structural equation modeling analysis of theresponse of herbaceous species richness to landscape factors in a forest-steppe zone[J].Acta Ecologica Sinica,2018,38(13):4649-4656.
Authors:TIAN Xiaomin  ZHENG Jianwei  WANG Dongzhi  HUANG Xuanrui and ZHANG Zhidong
Institution:Beijing Forestry University, Beijing Key Laboratory of Precision Forestry, Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing 100083, China;College of Forestry, Agricultural University of Hebei, Hebei Province Key Laboratory of Forest Trees Germplasm Resources and Forest Protection, Baoding 071000, China,College of Forestry, Agricultural University of Hebei, Hebei Province Key Laboratory of Forest Trees Germplasm Resources and Forest Protection, Baoding 071000, China,College of Forestry, Agricultural University of Hebei, Hebei Province Key Laboratory of Forest Trees Germplasm Resources and Forest Protection, Baoding 071000, China,College of Forestry, Agricultural University of Hebei, Hebei Province Key Laboratory of Forest Trees Germplasm Resources and Forest Protection, Baoding 071000, China and College of Forestry, Agricultural University of Hebei, Hebei Province Key Laboratory of Forest Trees Germplasm Resources and Forest Protection, Baoding 071000, China
Abstract:Fragmented landscapes are mosaics of vegetation patches with differing proportions. A more comprehensive understanding of the effect of landscape structure characteristics on species diversity is necessary to improve conservation strategies for species diversity in fragmented landscapes. Sampling plots were established in 38 natural vegetation patches within the Saihanba Nature Reserve, including 12 herbs, 11 shrubs, and 15 natural forest vegetation fragments. Herbaceous plant species were divided into C3 and C4 functional groups according to their photosynthetic carbon-assimilating pathway. The patch area, shape index, isolation index, and percentage of forest and grassland within a 500 m radius from the boundary of each sampling patch were selected as the landscape factors. A structural equation model (SEM) was adopted to explore the relationships between species richness of functional groups (C3 and C4) and landscape factors. Patch area (2.18-74.06 hm2) had a significant positive effect on C3, C4 herbs, and total species richness (P < 0.05), and the effect on C3 herbs was the highest; the shape (1.06-3.11) and isolation (33.51-327.65) indexes had no significant effect on C3, C4 herbs and total species richness (P > 0.05); the species richness of C3, C4 and all herbs increased with increasing grassland proportions (4.20%-64.95%) in the surrounding matrix, whereas the percentage of forest (35.05%-95.80%) in the surrounding matrix did not have a direct effect. Patch area and vegetation composition of adjacent patches were the main factors affecting the C3 and C4 herbs in Saihanba Nature Reserve. Preserving the large natural vegetation patch and improving the proportion of grassland in the surrounding matrix could effectively conserve key C3 and C4 herbaceous plant species.
Keywords:structural equation model  C3 herbs  C4 herbs  species richness  landscape pattern
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