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      The International Tundra Experiment (ITEX): 30 years of research on tundra ecosystems

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          Abstract

          The International Tundra Experiment (ITEX) was founded in 1990 as a network of scientists studying responses of tundra ecosystems to ambient and experimental climate change at Arctic and alpine sites across the globe. Common measurement and experimental design protocols have facilitated synthesis of results across sites to gain biome-wide insights of climate change impacts on tundra. This special issue presents results from more than 30 years of ITEX research. The importance of snow regimes, bryophytes, and herbivory are highlighted, with new protocols and studies proposed. The increasing frequency and magnitude of extreme climate events is shown to have strong effects on plant reproduction. The most consistent plant trait response across sites is an increase in vegetation height, especially for shrubs. This will affect surface energy balance, carbon and nutrient dynamics and trophic level interactions. Common garden studies show adaptation responses in tundra species to climate change but they are species and regionally specific. Recommendations are made including establishing sites near northern communities to increase reciprocal engagement with local knowledge holders and establishing multi-factor experiments. The success of ITEX is based on collegial cooperation among researchers and the network remains focused on documenting and understanding impacts of environmental change on tundra ecosystems.

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          Ecological and Evolutionary Responses to Recent Climate Change

          Ecological changes in the phenology and distribution of plants and animals are occurring in all well-studied marine, freshwater, and terrestrial groups. These observed changes are heavily biased in the directions predicted from global warming and have been linked to local or regional climate change through correlations between climate and biological variation, field and laboratory experiments, and physiological research. Range-restricted species, particularly polar and mountaintop species, show severe range contractions and have been the first groups in which entire species have gone extinct due to recent climate change. Tropical coral reefs and amphibians have been most negatively affected. Predator-prey and plant-insect interactions have been disrupted when interacting species have responded differently to warming. Evolutionary adaptations to warmer conditions have occurred in the interiors of species' ranges, and resource use and dispersal have evolved rapidly at expanding range margins. Observed genetic shifts modulate local effects of climate change, but there is little evidence that they will mitigate negative effects at the species level.
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            A globally coherent fingerprint of climate change impacts across natural systems.

            Causal attribution of recent biological trends to climate change is complicated because non-climatic influences dominate local, short-term biological changes. Any underlying signal from climate change is likely to be revealed by analyses that seek systematic trends across diverse species and geographic regions; however, debates within the Intergovernmental Panel on Climate Change (IPCC) reveal several definitions of a 'systematic trend'. Here, we explore these differences, apply diverse analyses to more than 1,700 species, and show that recent biological trends match climate change predictions. Global meta-analyses documented significant range shifts averaging 6.1 km per decade towards the poles (or metres per decade upward), and significant mean advancement of spring events by 2.3 days per decade. We define a diagnostic fingerprint of temporal and spatial 'sign-switching' responses uniquely predicted by twentieth century climate trends. Among appropriate long-term/large-scale/multi-species data sets, this diagnostic fingerprint was found for 279 species. This suite of analyses generates 'very high confidence' (as laid down by the IPCC) that climate change is already affecting living systems.
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              Simple Features for R: Standardized Support for Spatial Vector Data

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                Author and article information

                Journal
                Arctic Science
                Arctic Science
                Canadian Science Publishing
                2368-7460
                2368-7460
                September 01 2022
                September 01 2022
                : 8
                : 3
                : 550-571
                Affiliations
                [1 ]Department of Geography, University of British Columbia, Vancouver, BC V6T 1Z2, Canada.
                [2 ]Biology Department, Grand Valley State University, 1 Campus Dr., Allendale, MI 49401, USA.
                [3 ]Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Science, P.O. Box 5003, AS 1432, Norway.
                [4 ]Gothenburg Global Biodiversity Centre, P.O. Box 461, Gothenburg, SE-405 30, Sweden.
                [5 ]Department of Earth Sciences, University of Gothenburg, P.O. Box 460, Gothenburg, SE-405 30, Sweden.
                [6 ]Department of Biological and Environmental Sciences, University of Gothenburg, P.O. Box 461, Gothenburg, SE-405 30, Sweden.
                [7 ]Department of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
                [8 ]Institute of Life and Environmental Sciences, University of Iceland, Sturlugata 7, 102 Reykjavik, Iceland.
                [9 ]Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, I-43124 Parma, Italy.
                [10 ]Department of Biological Sciences, Florida International University, Miami, FL 33199, USA.
                [11 ]WSL Institute for Snow and Avalanche Research SLF, Flüelastr. 11, 7260 Davos Dorf, Switzerland.
                [12 ]Biological & Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK.
                Article
                10.1139/as-2022-0041
                89a3b18f-d4fb-4ea8-b5d7-89a676620a4e
                © 2022

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