Landscape connection and patch complexity explain plant community similarity in sandy grasslands better than habitat amount and landscape heterogeneity via network analysis

IF 1.2 4区 环境科学与生态学 Q4 ECOLOGY Community Ecology Pub Date : 2024-04-20 DOI:10.1007/s42974-024-00185-7
Yasu Cao, Yu Peng, Jinning Li, Jingxiang Yuan, Chengru Wang, Qianru Bao, Guoying Li
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Abstract

Based on the island biogeography theory and the habitat amount hypothesis, species richness and alpha diversity increase with an increase in connectivity and habitat amount, and high environmental heterogeneity usually maintains high plant alpha diversity. However, the mechanism of landscape pattern on plant community similarity, another dimension of plant diversity, are still poorly understood. We sampled 420 plant communities at 28 sampling sites comprising mobile, semi-fixed, and fixed sandy dunes, and lowland grasslands. The plant community similarity index was modelled as a response variable in stepwise linear regression models to select the primary landscape metrics. A general linear model was then used to identify the contribution of selected landscape metrics to plant network parameters. The results demonstrate that patch shape complexity, rather than habitat amount or area, was positively associated with plant community similarity (p < 0.05), as well as connection or aggregation, and not landscape heterogeneity (and/or landscape diversity). Such influences are closely linked to plant community network characteristics, which are determined by the sandy fragmented landscape. These findings suggest that shape complexity and edge traits of patches influence plant community similarity; consequently, at the landscape level, patch connection and aggregation influence plant community networks, while habitat amounts or landscape heterogeneity were less affected. These various underlying mechanisms need to be considered in management plans and reserve design for sandy grassland ecosystems to protect grasslands in sandy landscapes.

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通过网络分析,景观连接和斑块复杂性比栖息地数量和景观异质性更能解释沙质草地植物群落的相似性
根据岛屿生物地理学理论和栖息地数量假说,物种丰富度和α多样性会随着连通性和栖息地数量的增加而增加,高环境异质性通常会维持高植物α多样性。然而,人们对植物多样性的另一个维度--景观格局对植物群落相似性的影响机制还知之甚少。我们在 28 个采样点采集了 420 个植物群落样本,包括移动、半固定和固定沙丘以及低地草地。在逐步线性回归模型中,将植物群落相似度指数作为响应变量建模,以选择主要景观指标。然后使用一般线性模型来确定所选景观指标对植物网络参数的贡献。结果表明,斑块形状的复杂性,而不是栖息地数量或面积,与植物群落相似性(p < 0.05)以及连接性或聚集性呈正相关,而与景观异质性(和/或景观多样性)无关。这些影响因素与植物群落网络特征密切相关,而植物群落网络特征是由沙质破碎景观决定的。这些发现表明,斑块的形状复杂性和边缘特征会影响植物群落的相似性;因此,在景观水平上,斑块的连接和聚集会影响植物群落网络,而生境数量或景观异质性的影响较小。在沙地草地生态系统的管理计划和保护区设计中,需要考虑这些不同的潜在机制,以保护沙地景观中的草地。
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来源期刊
Community Ecology
Community Ecology 环境科学-生态学
CiteScore
2.90
自引率
5.90%
发文量
51
审稿时长
>36 weeks
期刊介绍: Community Ecology, established by the merger of two ecological periodicals, Coenoses and Abstracta Botanica was launched in an effort to create a common global forum for community ecologists dealing with plant, animal and/or microbial communities from terrestrial, marine or freshwater systems. Main subject areas: (i) community-based ecological theory; (ii) modelling of ecological communities; (iii) community-based ecophysiology; (iv) temporal dynamics, including succession; (v) trophic interactions, including food webs and competition; (vi) spatial pattern analysis, including scaling issues; (vii) community patterns of species richness and diversity; (viii) sampling ecological communities; (ix) data analysis methods.
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