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Enregistrement W4285390543 · doi:10.18822/edgcc101643

IMPACT OF CLIMATE WARMING ON FLORISTIC DIVERSITY OF THE EAST EUROPEAN TUNDRA

2022· article· en· W4285390543 sur OpenAlexaboutno aff
O. V. Lavrinenko, G. A. Tyusov, В. В. Петровский

Notice bibliographique

RevueEnvironmental Dynamics and Global Climate Change · 2022
Typearticle
Langueen
DomaineEarth and Planetary Sciences
ThématiqueClimate change and permafrost
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTundraVegetation (pathology)Physical geographyNormalized Difference Vegetation IndexArcticArctic vegetationGrowing seasonShrubClimate changeGeographyFloristicsEnvironmental scienceClimatologyEcologyOceanographySpecies richnessGeology

Résumé

récupéré en direct d'OpenAlex

The climate in the Arctic, including the European sector, is changing rapidly (Report..., 2021). Currently, there is uncertainty as to whether the regularities of satellite-observed greening in tundra areas indicate a change in the vegetation cover in situ. The NDVI changes are multidirectional in different sectors of the Arctic and depend on the period taken for calculation (Bhatt et al., 2010, 2013; Epstein et al., 2017; Tishkov et al., 2018; Myers-Smith et al., 2020). Non-environmental factors (atmospheric changes, orbital drift, sensor degradation, snow duration or standing water) can give greening signals (Gamon et al., 2013; Raynolds et al., 2013; Guay et al., 2014). The winter and spring indicators (for example, coastal spring sea-ice area) represent potential predictors of tundra vegetation productivity a season or two in advance of the growing season (Bhatt et al., 2021). The question of what happens to vegetation over a long period is more accurately answered by studies carried out by surface methods on monitoring sites having repeated geobotanical descriptions with an accurate geographical reference. An increase in the projective cover and height of the vegetation cover, an increase in the relative abundance of shrubs and grasses, and shrub vegetation spreading on hillsides and in river valleys have been established for the tundra of Alaska and the Canadian Arctic (Sturm et al., 2001; Tape et al., 2006; Gould et al. ., 2009; Myers-Smith et al., 2019; Harris et al., 2021). In other publications (Prach et al., 2010; Callaghan et al., 2011; Danils and de Molenaar, 2011; Matveeva and Zanokha, 2013b), on the contrary, it is shown that, despite climatic changes, the flora and vegetation remained mainly fairly stable in Alaska, Greenland, Spitsbergen and Taimyr. The changes are often recorded only in the locations where the landscapes are being physically changed or destructed (Jorgenson et al., 2015; Pospelova et al., 2017; Lavrinenko and Lavrinenko, 2020). Flora, as a more conservative component of the vegetation cover, retains its composition and structure much longer than vegetation (Koroleva et al., 2019), however, the dispersal of species in our time is much faster than expected. A repeated inventory (decades later) of local tundra floras (Pospelov and Pospelova, 2001; Sekretareva and Sytin, 2006; Matveeva et al., 2014; Koroleva et al., 2019) shows an increase in their richness mainly due to species of more southern latitudinal groups. Northward migration of boreal species occurs mainly along river valleys. We calculated climate indices for Eastern European tundras, which are important for plants, using the software ClimPACT (Alexander et al., 2013) and applying daily data series (Bulygina et al., website). Over the past 30 years, compared with the previous 30 years, the annual number of frost days (by 14-21 days) has significantly decreased, the duration of the vegetation period has increased (by an average of 2 weeks) as well as the number of growing degree days (by an average of 85 C) (Table 1). It is important to focus attention on species discovered originally far from the previously known boundaries of their natural habitat, since they may indicate ongoing climatic changes. In this article, we supplemented the 5 local floras in the Malozemelskaya Tundra and Bolshezemelskaya Tundra, which we revisited in the period from 2019 to 2020, with 67 taxons (Table 2). The local flora "Bolvansky Nos" at the mouth of the Pechora River, which previously contained 222 species (Lavrinenko et al., 2016), has become one of the richest for its zonal positions (the northern zone of the southern tundra) and for the East European tundras in general due to new findings (34 species). The majority (69%) of the newly discovered taxons in the 5 local floras belong to the boreal fraction and there are even more such species (71%) in the "Bolvansky Nos" flora. We also analyzed the species, which we found earlier during the inventory of 24 local floras on the islands and the mainland of the Eastern European tundra (Lavrinenko et al., 2016, 2019, marked with asterisks in the tables). The number of species discovered for the first time far from their location, which were previously indicated in the main reports of the last century, was 64. The main part (62%) of these species belongs to the southern latitudinal groups. Current locations indicate the northern limit of their spreading in the European North. Most of these species penetrate to the north along the the valleys of rivers flowing in the meridional direction from south to north (Pechora and its tributaries, More-Yu, Neruta). Some aquatic and coastal plants have been found far north of their former locations, which is particularly impressive: Cicuta virosa, Eleocharis palustris, E. quinqueflora, Filaginella uliginosa, Juncus bufonius, J.nodulosus, Myriophyllum sibiricum, M. verticillatum, Naumburgia thyrsiflora, Potamogeton friesii, P.pusillus, P. sibiricus, Sagittaria natans, Sparganium angustifolium, Stuckenia filiformis. Many of them are not found just as specients, but they form communities and are highly vital (Lavrinenko and Lavrinenko, 2018; Lavrinenko and Dyachkova, 2021). In the last century, most of these plants were known from the middle/southern parts of the Komi Republic (Arctic..., 1960-1987; Flora..., 1974-1979) and are reported for the territory of the Eastern European tundra for the first time. The valleys of rivers flowing in the meridional direction from south to north are also a passage for the migration of meadow plants Dactylis glomerata, Lathyrus palustris, Sedum purpureum. New locations of arboreal species (Picea obovata, Pinus sylvestris, Populus tremula, Alnus fruticosa) can be considered as evidence of their northward movement along river valleys from the forest-tundra zone and the forest islands located to the south. It is concluded that climate warming in the Eastern European sector of the Arctic contributes to the active natural dispersal of plant species of southern latitudinal groups to the north, especially along the valleys of large rivers flowing in the meridional direction.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,042
Score d'incertitude au seuil0,083

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,217
Écart entre enseignants0,192 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2022
Routes d'admission1
Résumé présentoui

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Même revueEnvironmental Dynamics and Global Climate ChangeMême sujetClimate change and permafrostTravaux en français237 207