The relationship between vegetation, plant functional diversity and environment on rock outcrops in the Western Ghats, India

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-09-19 DOI:10.1080/17550874.2023.2255999
Aboli Kulkarni, Rohan Shetti, Bhushan K. Shigwan, Smrithy Vijayan, Mandar N. Datar
{"title":"The relationship between vegetation, plant functional diversity and environment on rock outcrops in the Western Ghats, India","authors":"Aboli Kulkarni, Rohan Shetti, Bhushan K. Shigwan, Smrithy Vijayan, Mandar N. Datar","doi":"10.1080/17550874.2023.2255999","DOIUrl":null,"url":null,"abstract":"ABSTRACTBackground Rock outcrops support specialist plant communities that are often adapted to highly seasonal climates and heterogeneous soil cover. However, the relationship between environmental parameters and plant functional types remains unexplored in many regions of the world, including the Northern Western Ghats (NWG) in India.Aims In the present work, we aimed to characterise the vegetation of high and low elevation rock outcrops in the NWG, and investigate the relationship between plant functional types and environmental variables.Methods Vegetation surveys were conducted on 16 high elevation and 14 low elevation sites using a transect and quadrat method. Floristic data were used to calculate plant diversity and plant functional type abundance. The relationship between vegetation and climatic (temperature, precipitation) and soil (soil carbon and nitrogen) variables was explored using cluster and ordination analysis.Results Rock outcrop sites were grouped into two clusters based on elevation, distance from the sea and mean diurnal range. Plant functional type abundance was related to macro-environmental variables such as temperature, precipitation and soil nutrients such as carbon and nitrogen.Conclusions We inferred that the distribution and dominance of different plant functional types in the NWG are related to primarily by elevation (a proxy for temperature) and distance from the sea.Key policy highlightsVegetation of the NWG rock outcrops differ significantly based on elevation.Precipitation, temperature variables and distance from the sea are the key parameters associating with the difference in vegetation across elevation.Since vegetation on rock outcrops differs across elevations; it is essential to protect the outcrops at high as well as low elevations across the entire NWG.KEYWORDS: Indian rock outcropsvegetation-environment relationshipdiurnal rangeplant functional typeephemeral vegetationDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. AcknowledgmentsAK, BS, SV and MND are thankful to the Director, Agharkar Research Institute, Pune for facilities and encouragement. The authors thank Dr. Aparna Watve and Dr. Karthick Balasubramanian for critical discussions. AK would like to thank Dr. Girish Kulkarni and Dr. Sameer Padhye for solving some doubts related to R.Disclosure statementNo potential competing interest was reported by the authorData availability statementThe authors confirm that the data supporting the findings of this study are available within the article and its supplementary materials.Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/17550874.2023.2255999Figure 1 Study area in the Northern Western Ghats of India showing rock outcrops sites sampled during present work. m a.s.l: meters above sea levelDisplay full sizeFigure 2 Sampling design showing transect-cum-quadrat method adopted for the present study. 1 m × 1 m quadrats (green) nested at the corners of 5 m × 5 m quadrats embedded within 20 m × 20 m quadrats were used for collecting vegetation data.Display full sizeFigure 3 Cluster dendrogram based on species occurrence using the Sørensen dissimilarity index for all sites (see Table S2). Sites marked in blue: Low-elevation outcrops (0-250m a.s.l); orange: High-elevation outcrops (600-1500m a.s.l)Display full sizeFigure 4 Non-metric multidimensional scaling (NMDS) based on plant functional type abundance from study sites (stress=0.09). Sites marked in blue: Low-elevation outcrops (0-250m a.s.l); orange: High-elevation outcrops (600-1500m a.s.l)Display full sizeFigure 5 Canonical Correspondence Analysis (CCA) of the environmental variables and plant functional types (See Table 2). Sites marked in blue: Low-elevation outcrops (0-250m a.s.l); orange: High-elevation outcrops (600-1500m a.s.l). Functional types are marked in green and environmental variables are marked in black. TempAnnRange: Temperature Annual Range AnnPreci: Annual Precipitation, MnDiurRange: Mean Diurnal Range, PreciWettestQuar: Precipitation of Wettest quarter, AnnMnTemp: Annual Mean Temperature, TempSeason: Temperature Seasonality, DistSea: Distance from the SeaDisplay full sizeAdditional informationFundingThis work was supported by Agharkar Research Institute in-house grant BD-01. Partial funding support received from Council for Scientific and Industrial Research, Government of India to SV and SARTHI, Maharashtra State to BS.Notes on contributorsAboli KulkarniAboliKulkarni((https://orcid.org/0000-0002-4495-977X) studied rock outcrops of the WesternGhats for her Ph.D., during which she studied vegetation diversity,distribution and its relationship to the environment.Rohan ShettiRohanShetti (https://orcid.org/0000-0002-2967-0193)is a post-doctoral research scientist in the field of plant ecology and climatechange, with most of his research focusing on understanding changes invegetation patterns with respect to contemporary climate warming in thesub-arctic, alpine as well as tropical regions.Bhushan K. ShigwanBhushanShigwan(https://orcid.org/0000-0001-8657-7502) is a plant taxonomist and ecologistinterested in forest ecology, diversity, fragmentation and distribution offorest trees in the Western Ghats.Smrithy VijayanSmrithyVijayan(https://orcid.org/0000-0003-4697-2641) is an ecology student with a particularinterest in cliff and outcrop vegetation and their ecological functioning.Mandar N. DatarMandar N. Datar (https://orcid.org/0000-0002-4437-7796) is a taxonomist and ecologistinterested in the diversity, distribution and endemism of flowering plants inthe Western Ghats.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17550874.2023.2255999","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACTBackground Rock outcrops support specialist plant communities that are often adapted to highly seasonal climates and heterogeneous soil cover. However, the relationship between environmental parameters and plant functional types remains unexplored in many regions of the world, including the Northern Western Ghats (NWG) in India.Aims In the present work, we aimed to characterise the vegetation of high and low elevation rock outcrops in the NWG, and investigate the relationship between plant functional types and environmental variables.Methods Vegetation surveys were conducted on 16 high elevation and 14 low elevation sites using a transect and quadrat method. Floristic data were used to calculate plant diversity and plant functional type abundance. The relationship between vegetation and climatic (temperature, precipitation) and soil (soil carbon and nitrogen) variables was explored using cluster and ordination analysis.Results Rock outcrop sites were grouped into two clusters based on elevation, distance from the sea and mean diurnal range. Plant functional type abundance was related to macro-environmental variables such as temperature, precipitation and soil nutrients such as carbon and nitrogen.Conclusions We inferred that the distribution and dominance of different plant functional types in the NWG are related to primarily by elevation (a proxy for temperature) and distance from the sea.Key policy highlightsVegetation of the NWG rock outcrops differ significantly based on elevation.Precipitation, temperature variables and distance from the sea are the key parameters associating with the difference in vegetation across elevation.Since vegetation on rock outcrops differs across elevations; it is essential to protect the outcrops at high as well as low elevations across the entire NWG.KEYWORDS: Indian rock outcropsvegetation-environment relationshipdiurnal rangeplant functional typeephemeral vegetationDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. AcknowledgmentsAK, BS, SV and MND are thankful to the Director, Agharkar Research Institute, Pune for facilities and encouragement. The authors thank Dr. Aparna Watve and Dr. Karthick Balasubramanian for critical discussions. AK would like to thank Dr. Girish Kulkarni and Dr. Sameer Padhye for solving some doubts related to R.Disclosure statementNo potential competing interest was reported by the authorData availability statementThe authors confirm that the data supporting the findings of this study are available within the article and its supplementary materials.Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/17550874.2023.2255999Figure 1 Study area in the Northern Western Ghats of India showing rock outcrops sites sampled during present work. m a.s.l: meters above sea levelDisplay full sizeFigure 2 Sampling design showing transect-cum-quadrat method adopted for the present study. 1 m × 1 m quadrats (green) nested at the corners of 5 m × 5 m quadrats embedded within 20 m × 20 m quadrats were used for collecting vegetation data.Display full sizeFigure 3 Cluster dendrogram based on species occurrence using the Sørensen dissimilarity index for all sites (see Table S2). Sites marked in blue: Low-elevation outcrops (0-250m a.s.l); orange: High-elevation outcrops (600-1500m a.s.l)Display full sizeFigure 4 Non-metric multidimensional scaling (NMDS) based on plant functional type abundance from study sites (stress=0.09). Sites marked in blue: Low-elevation outcrops (0-250m a.s.l); orange: High-elevation outcrops (600-1500m a.s.l)Display full sizeFigure 5 Canonical Correspondence Analysis (CCA) of the environmental variables and plant functional types (See Table 2). Sites marked in blue: Low-elevation outcrops (0-250m a.s.l); orange: High-elevation outcrops (600-1500m a.s.l). Functional types are marked in green and environmental variables are marked in black. TempAnnRange: Temperature Annual Range AnnPreci: Annual Precipitation, MnDiurRange: Mean Diurnal Range, PreciWettestQuar: Precipitation of Wettest quarter, AnnMnTemp: Annual Mean Temperature, TempSeason: Temperature Seasonality, DistSea: Distance from the SeaDisplay full sizeAdditional informationFundingThis work was supported by Agharkar Research Institute in-house grant BD-01. Partial funding support received from Council for Scientific and Industrial Research, Government of India to SV and SARTHI, Maharashtra State to BS.Notes on contributorsAboli KulkarniAboliKulkarni((https://orcid.org/0000-0002-4495-977X) studied rock outcrops of the WesternGhats for her Ph.D., during which she studied vegetation diversity,distribution and its relationship to the environment.Rohan ShettiRohanShetti (https://orcid.org/0000-0002-2967-0193)is a post-doctoral research scientist in the field of plant ecology and climatechange, with most of his research focusing on understanding changes invegetation patterns with respect to contemporary climate warming in thesub-arctic, alpine as well as tropical regions.Bhushan K. ShigwanBhushanShigwan(https://orcid.org/0000-0001-8657-7502) is a plant taxonomist and ecologistinterested in forest ecology, diversity, fragmentation and distribution offorest trees in the Western Ghats.Smrithy VijayanSmrithyVijayan(https://orcid.org/0000-0003-4697-2641) is an ecology student with a particularinterest in cliff and outcrop vegetation and their ecological functioning.Mandar N. DatarMandar N. Datar (https://orcid.org/0000-0002-4437-7796) is a taxonomist and ecologistinterested in the diversity, distribution and endemism of flowering plants inthe Western Ghats.
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印度西高止山脉岩石露头植被、植物功能多样性与环境的关系
岩石露头支持特殊的植物群落,这些植物群落通常适应高度季节性的气候和异质性的土壤覆盖。然而,在世界上许多地区,包括印度的西北高止山脉(NWG),环境参数与植物功能类型之间的关系仍未被探索。目的研究西北高原高、低海拔岩石露头植被特征,探讨植物功能类型与环境变量之间的关系。方法采用样带样方法对16个高海拔点和14个低海拔点进行植被调查。植物区系数据用于计算植物多样性和植物功能类型丰度。利用聚类和排序分析方法探讨了植被与气候(温度、降水)和土壤(土壤碳氮)变量之间的关系。结果根据海拔高度、离海距离和平均日差将露头地点分为两类。植物功能类型丰度与温度、降水等宏观环境变量和土壤碳、氮等养分有关。结论NWG不同植物功能类型的分布和优势度主要与海拔(代替温度)和离海距离有关。NWG岩石露头的植被因海拔而有显著差异。降水、温度变量和离海距离是影响海拔植被差异的关键参数。因为不同海拔的岩石露头上的植被不同;必须保护整个西北大陆架高海拔和低海拔地区的露头。关键词:印度岩石露头植被-环境关系日变化范围植物功能类型短暂植被免责声明作为对作者和研究人员的服务,我们提供此版本的接受手稿(AM)。在最终出版版本记录(VoR)之前,将对该手稿进行编辑、排版和审查。在制作和印前,可能会发现可能影响内容的错误,所有适用于期刊的法律免责声明也与这些版本有关。感谢ak、BS、SV和MND感谢浦那Agharkar研究所所长提供的便利和鼓励。作者感谢Aparna Watve博士和Karthick Balasubramanian博士的批判性讨论。AK感谢Girish Kulkarni博士和Sameer Padhye博士解决了与r有关的一些疑问。披露声明作者未报告潜在的竞争利益。数据可得性声明作者确认,在文章及其补充材料中可以获得支持本研究结果的数据。补充材料本文的补充数据可以在https://doi.org/10.1080/17550874.2023.2255999Figure上在线访问1印度西北高止山脉的研究区域,显示了目前工作中采样的岩石露头地点。图2取样设计为本研究采用的样条加样方法。采用1 m × 1 m样方(绿色)嵌套在5 m × 5 m样方的边角处,嵌套在20 m × 20 m样方内,采集植被数据。图3使用Sørensen不相似度指数对所有站点基于物种发生的聚类树状图(见表S2)。蓝色标记的地点:低海拔露头(海拔0-250米);图4基于研究地点植物功能类型丰度的非度量多维标度(NMDS)(应力=0.09)。蓝色标记的地点:低海拔露头(海拔0-250米);图5环境变量与植物功能类型的典型对应分析(CCA)(见表2)。蓝色标记的地点:低海拔露头(0-250m a.s.l);橙色:高海拔露头(海拔高度600-1500米)。功能类型用绿色标记,环境变量用黑色标记。TempAnnRange:温度年变化范围AnnPreci:年降水,MnDiurRange:平均日变化范围,PreciWettestQuar:最湿季降水,AnnMnTemp:年平均温度,TempSeason:温度季节性,DistSea:与海洋的距离。印度政府科学和工业研究理事会向SV和马哈拉施特拉邦SARTHI向BS提供部分资金支持。关于贡献者的说明aboli kulkarni (https://orcid.org/0000-0002-4495-977X)博士研究了西高止山脉的岩石露头。 在此期间,她研究了植被多样性、分布及其与环境的关系。罗汉·谢蒂(https://orcid.org/0000-0002-2967-0193)is)植物生态学和气候变化领域的博士后研究科学家,他的大部分研究集中在了解亚北极、高山和热带地区的植被模式变化与当代气候变暖的关系。Bhushan K. shigwan (https://orcid.org/0000-0001-8657-7502)是一位植物分类学家和生态学家,对西高止山脉的森林生态、多样性、破碎化和分布感兴趣。Smrithy VijayanSmrithyVijayan(https://orcid.org/0000-0003-4697-2641)是一名生态学学生,对悬崖和露头植被及其生态功能特别感兴趣。Mandar N. Datar (https://orcid.org/0000-0002-4437-7796)是一位对西高止山脉开花植物的多样性、分布和特有感兴趣的分类学家和生态学家。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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