植被生产力决定了蝴蝶对尼泊尔跨喜马拉雅山脉海拔梯度的反应

IF 2.7 3区 环境科学与生态学 Q2 ECOLOGY
Ecosphere Pub Date : 2024-10-08 DOI:10.1002/ecs2.70019
Bimal Raj Shrestha, Suraj Baral, Shanta Budha-Magar, Kiran Thapa Magar, Prakash Gaudel, Sanej Prasad Suwal, Sanjaya Raj Tamang, Ashant Dewan, Min Bahadur Gurung, Pratichhya Shrestha
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引用次数: 0

摘要

海拔梯度的环境参数会影响蝴蝶的数量和种类。然而,哪些变量起着重要作用以及它们是如何起作用的,这些都很难理清。在此,我们利用广义线性模型研究了不同海拔梯度上观测到的蝴蝶丰富度(总体和亚群)与遥感环境变量(植被生产力、地表温度、景观异质性和湿度胁迫)之间的关系。我们在尼泊尔中北部跨喜马拉雅地区马南县海拔 1600-5200 米的 19 个海拔带采用定点计数法对蝴蝶进行了调查。对每个海拔带的蝴蝶数量进行研究和估算,然后对最低和最高海拔进行内插,以估算蝴蝶物种丰富度。然后,对蝴蝶丰富度和海拔高度进行模型选择,根据 Akaike 信息准则的最低值和其他环境变量的多模型平均值测试最佳模型支持。在整个研究期间,共记录了 94 个蝴蝶物种,代表 20 个亚科和 6 个科。我们对总体物种丰富度、凤蝶科(Papilionidae)和鹤蝶科(Hesperiidae)获得了立方模型支持,对蛱蝶科(Nymphalidae)和蝶科(Pieridae)获得了二次模型支持,对蝶类(Lycaenidae)获得了线性模型支持。我们的研究发现,植被生产力对蝴蝶群落有显著的积极影响。我们的研究进一步表明,凤蝶科(Papilionidae)和蝶科(Hesperiidae)的物种丰富度与地表温度和景观异质性有很强的正相关性,与水分胁迫有负相关,但蝴蝶群落的其他亚群(包括总体物种丰富度)与这些变量的关系不显著。这项研究提供了尼泊尔喜马拉雅山脉高山蝴蝶对环境变量反应的重要信息。然而,对蝴蝶功能行为的进一步详细研究可能会对它们在山地环境中的分布模式和生态关系提供更多的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Vegetation productivity determines the response of butterflies along elevation gradients in the trans-Himalayas, Nepal

Vegetation productivity determines the response of butterflies along elevation gradients in the trans-Himalayas, Nepal

Environmental parameters along elevational gradients affect the number of butterflies and the variety of species. However, which variables play significant roles and how they operate can be difficult to untangle. Here, we examine the relationships between observed butterfly richness (overall and subgroups) at different elevation gradients and remotely sensed environmental variables (vegetation productivity, surface temperature, landscape heterogeneity, and moisture stress) using generalized linear models. We surveyed butterflies with a fixed-point count method in 19 elevation bands within 1600–5200 m above sea level in Manang district, trans-Himalayan region, north-central Nepal. The number of butterflies in each elevation band was studied and estimated, then interpolated across the lowest and highest elevation to estimate butterfly species richness. Then, the selection of models was performed on butterfly richness and elevations to test the best model support based on the lowest value of the Akaike information criterion and a multimodel averaging for other environmental variables. Altogether, 94 butterfly species, representing 20 subfamilies and six families, were recorded throughout the study periods. We obtained cubic model support for overall species richness, Papilionidae, and Hesperiidae, quadratic to Nymphalidae and Pieridae, and the linear model to Lycaenidae. In our study, vegetation productivity was found to have a significant positive impact on butterfly communities. Our study further suggests species richness of Papilionidae and Hesperiidae has a strong positive correlation with surface temperature and landscape heterogeneity and negative associations with moisture stress but other subgroups of butterfly communities including overall species richness showed insignificant relationships with these variables. This study provides significant information related to the responses of montane butterflies to environmental variables along elevational gradients from the Himalayas Nepal. However, further detailed studies on the functional behaviors of butterflies potentially offer more insights into their distribution patterns and ecological relationship in the montane environment.

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来源期刊
Ecosphere
Ecosphere ECOLOGY-
CiteScore
4.70
自引率
3.70%
发文量
378
审稿时长
15 weeks
期刊介绍: The scope of Ecosphere is as broad as the science of ecology itself. The journal welcomes submissions from all sub-disciplines of ecological science, as well as interdisciplinary studies relating to ecology. The journal''s goal is to provide a rapid-publication, online-only, open-access alternative to ESA''s other journals, while maintaining the rigorous standards of peer review for which ESA publications are renowned.
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