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المؤلفون: Miska Luoto, Risto K. Heikkinen, Pekka Niittynen
المساهمون: University of Helsinki, Department of Geosciences and Geography
المصدر: Proceedings of the National Academy of Sciences of the United States of America
مصطلحات موضوعية: 0106 biological sciences, pienilmasto, tundra, mediating climate change impacts, 010504 meteorology & atmospheric sciences, plot-scale vegetation data, Biodiversity, 01 natural sciences, rapid climate change, remote sensing, Arctic, Arctic species, SPECIES DISTRIBUTION, lack of research, kylmä ilmasto, tundra region, bioottiset yhteisöt, tundra vegetation, PRODUCTIVITY, Ecology, Arctic Regions, Earth, Cold Temperature, climate change, machine learning, tundra biome, lämpeneminen, mallintaminen, snow, species distribution modeling, ECOLOGY, diversity, vähenevä lumipeite, Arctic vegetation−ecosystem models, monimuotoisuus, kasvit, Ecosystem, Arctic tundra, ecosystem processes, tundra communities, 15. Life on land, ilmastonmuutokset, Snow, kasviyhteisöt, FRAMEWORK, biotic homogenization, different scenarios, BIODIVERSITY, Arctic landscape, biodiversiteetin ennustaminen, ilmastonmuutoksen hillitseminen, PLANT TRAITS, ihmisen vaikutus, microclimate, winter ecology, responsiveness, machine learning method, arktiset lajit, faster resource acquisition, COMMUNITY COMPOSITION, nopea ilmastonmuutos, predicting biodiversity patterns, functional composition, lajien levinneisyysmallinnus, role of snow in tundra vegetation models, arktinen maisema, tall plants, kookkaat lehdet, Multidisciplinary, lacking research, plants, Temperature, cold climate, talviekologia, decreasing snow covers, Biological Sciences, tundran rehevöityminen, koneoppimismetodit, koneoppiminen, spatiaalisen heterogeenisyyden menetys, Seasons, alppivuori, 1171 Geosciences, snow cover duration, human impact, warming, perturbation, DATABASE, Climate change, 010603 evolutionary biology, biotic communities, tundran biomi, modelling, ekosysteemiprosessit, rehevöitymisdata, lumiolosuhteiden evoluutio, 0105 earth and related environmental sciences, tutkimuksen vajaavaisuus, arktinen tundra, bioottinen homogenisaatio, evolution of snow conditions, large leaves, trait composition, Global warming, spatial heterogeneity loss, lumipeitteen kesto, SHIFTS, Plant community, lumi, Tundra, plant communities, Plant Leaves, korkeat kasvit, 13. Climate action, tutkimuksen vähyys, alpine mountain, machine learning methods, Environmental science, kaukokartoitus, VEGETATION, tundrayhteisöt