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T1  - Decreasing snow cover alters functional composition and diversity of Arctic tundra 
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UR  - http://hdl.handle.net/10138/336012 
T3  - Proceedings of the National Academy of Sciences of the United States of America 117: 35, 21480-21487 
A1  - Niittynen, Pekka; Heikkinen, Risto K.; Luoto, Miska 
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Y1  - 2020 
LA  - en 
AB  - The Arctic is one of the least human-impacted parts of the world, but, in turn, tundra biome is facing the most rapid climate change on Earth. These perturbations may cause major reshuffling of Arctic species compositions and functional trait profiles and diversity, thereby affecting ecosystem processes of the whole tundra region. Earlier research has detected important drivers of the change in plant functional traits under warming climate, but studies on one key factor, snow cover, are almost t... 
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KW  - remote sensing; species distribution modeling; microclimate; winter ecology; alpine mountain; decreasing snow covers; functional composition; diversity; Arctic; Arctic tundra; Arctic landscape; Arctic species; tundra; tundra vegetation; tundra biome; tundra region; tundra communities; snow; snow cover duration; evolution of snow conditions; cold climate; biotic communities; plants; plant communities; tall plants; large leaves; faster resource acquisition; plot-scale vegetation data; predicting biodiversity patterns; ecosystem processes; mediating climate change impacts; spatial heterogeneity loss; Arctic vegetation−ecosystem models; role of snow in tundra vegetation models; human impact; climate change; rapid climate change; Earth; perturbation; lacking research; lack of research; machine learning; machine learning method; machine learning methods; modelling; responsiveness; different scenarios; warming; trait composition; biotic homogenization; kaukokartoitus; lajien levinneisyysmallinnus; mikroilmasto; talviekologia; alppivuori; vähenevä lumipeite; monimuotoisuus; Arktinen alue; Arktis; arktinen tundra; arktinen maisema; arktiset lajit; tundra; tundran rehevöityminen; tundran biomi; tundrayhteisöt; lumi; lumipeitteen kesto; lumiolosuhteiden evoluutio; kylmä ilmasto; bioottiset yhteisöt; kasvit; kasviyhteisöt; korkeat kasvit; kookkaat lehdet; rehevöitymisdata; biodiversiteetin ennustaminen; ekosysteemiprosessit; ilmastonmuutos; ilmastonmuutokset; ilmastonmuutoksen hillitseminen; spatiaalisen heterogeenisyyden menetys; ihmisen vaikutus; nopea ilmastonmuutos; tutkimuksen vähyys; tutkimuksen vajaavaisuus; mallintaminen; koneoppiminen; koneoppimismetodit; lämpeneminen; bioottinen homogenisaatio 
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