Do patterns of intra-specific variability and community weighted-means of leaf traits correspond? An example from alpine plants

Онипченко, В. Г.; Rozhin, Artem; Смирнов, В. Э.; Akhmetzhanova, Asem A.; Elumeeva, Tatiana G.; Khubieva, Olga P.; Dudova, Ksenia V.; Soudzilovskaia, Nadezhda A.; Cornelissen, Johannes H. C.

doi:10.17581/bp.2020.09109

Cited by 2 publications

(3 citation statements)

References 47 publications

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“…We found that in many cases species differ in their response directions along the microclimate gradients, as has been shown also along other environmental gradients (Kichenin et al 2013, Bjorkman et al 2018b., Roybal and Butterfield 2019, Onipchenko et al 2020). A species might have unimodal trait–environment responses when the whole distribution of the species is covered, and so the response is different in certain parts of the gradients (Albert et al 2010).…”

Section: Discussionsupporting

confidence: 78%

“…LDMC and SLA were also related to snow conditions, which is expected, as snow has multiple potential mechanisms controlling plant available resources and physiological stress (Kearney 2020). In general, thicker and more persisting snow cover hosts plants with faster leaf acquisition strategies; this has also been seen in studies that have looked at plant traits at community level (Kudo 1996, Kudo et al 1999, Choler 2005, Happonen et al 2019, Onipchenko et al 2020. In particular, snow depth (measured at the peak snow season) explained LDMC of all species except for V. vitis-idaea.…”

Section: Microclimate Influences On Intraspecific Trait Variationmentioning

confidence: 76%

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Microclimate relationships of intraspecific trait variation in sub‐Arctic plants

Kemppinen

Niittynen

2022

Oikos

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Within‐species trait variation is a substantial part of plant functional diversity. However, this intraspecific trait variation (ITV) is rarely investigated in relation to a key characteristic of the Arctic and alpine ecosystems: fine‐scale microclimatic heterogeneity. Here, we quantified the influence of microclimate (soil moisture, snow and local temperatures) on plant functional traits, specifically on ITV. We focused on six widespread northern latitude vascular plant species, and measured four traits: plant height, leaf area, leaf dry matter content (LDMC) and specific leaf area (SLA). We related ITV to field and remotely sensed microclimate data from 150 study plots within six study grids. The grids were located within a 76‐m altitudinal belt in three environments: the tundra, tundra–forest ecotone and mountain birch forest in Kilpisjärvi, northwestern Finland. We compared the range of trait values between this local trait dataset (n = 5493) and global trait databases (n = 10 383). We found that information in the local dataset covers a relatively large portion of the trait ranges in global databases. The proportion varies among traits and species; the largest portion was 74% for variation in leaf area of Vaccinium uliginosum, and the lowest was 19% for LDMC of Betula nana. We found that ITV in height was mostly related to local temperatures, whereas SLA and LDMC were more related to soil moisture and snow conditions. However, species showed contrasting relationships with the microclimate drivers. We conclude that microclimate profoundly shapes ITV in northern latitude plants and that even a very compact geographic area can contain a large amount of ITV. The influence of the microclimatic conditions varies among functional traits and species, which indicates that plastic response or adaptive potential of the species to climate change may also vary across species, but that necessary variation may often be present within local plant populations.

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Section: Discussionsupporting

confidence: 78%

Section: Microclimate Influences On Intraspecific Trait Variationmentioning

confidence: 76%

Microclimate relationships of intraspecific trait variation in sub‐Arctic plants

Kemppinen

Niittynen

2022

Oikos

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“…Традиционно, в лаборатории ведутся работы по количественным методам анализа видового, структурного [31,32] и функционального [35][36][37] разнообразия растений и растительных сообществ. В частности, показано, что крупный валеж в широколиственном лесу значимо увеличивает видовое и структурное разнообразие травянистых и древесных видов растений [31]; внутривидовое варьирование признаков по абиотическим градиентам не всегда согласуется с межвидовой изменчивостью растений и варьированием признаков на уровне сообществ [37]; существует унимодальная связь между индексом функциональной дивергенции и надземной биомассой в средних по биомассе участках альпийских сообществ -на пестроовсяницевых лугах [36]; по изотопному составу листьев растений предположена частичная миксотрофность у некоторых альпийских видов семейства Gentianaceae [35].…”

Section: ) модели количественный анализ и геоинформационные технологи...unclassified

The IMPB RAS is 50 years old. Laboratory of Computational Ecology: achievements and prospects

Ханина¹,

Ivanova²,

Shashkov³

et al. 2022

Proceedings of the International Conference "Mathematical Biology and Bioinformatics"

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математических проблем биологии РАН -филиал Института прикладной математики им. М.В. Келдыша РАН 2 Институт глобального климата и экологии имени академика Ю.А. Израэля 3 Центр по проблемам экологии и продуктивности лесов РАН 4 Институт физико-химических и биологических проблем почвоведения РАНобособленное подразделение ФИЦ НЦБИ РАН

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Do patterns of intra-specific variability and community weighted-means of leaf traits correspond? An example from alpine plants

Cited by 2 publications

References 47 publications

Microclimate relationships of intraspecific trait variation in sub‐Arctic plants

Microclimate relationships of intraspecific trait variation in sub‐Arctic plants

The IMPB RAS is 50 years old. Laboratory of Computational Ecology: achievements and prospects

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