Integrating natural gradients, experiments, and statistical modeling in a distributed network experiment: An example from the WaRM Network

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Integrating natural gradients, experiments, and statistical modeling in a distributed network experiment : An example from the WaRM Network

Prager, Case M. (författare): Ecology and Evolutionary Biology Department, University of Michigan, MI, Ann Arbor, United States; The Rocky Mountain Biological Laboratory, CO, Crested Butte, United States

Classen, Aimee T. (författare): Ecology and Evolutionary Biology Department, University of Michigan, MI, Ann Arbor, United States; The Rocky Mountain Biological Laboratory, CO, Crested Butte, United States; Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark

Sundqvist, Maja (författare): Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogens ekologi och skötsel,Department of Forest Ecology and Management,University of Copenhagen

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Barrios-Garcia, Maria Noelia (författare): CONICET, CENAC-APN, Rio Negro, San Carlos de Bariloche, Argentina; Rubenstein School of Environment and Natural Resources, University of Vermont, VT, Burlington, United States

Cameron, Erin K. (författare): Department of Environmental Science, Saint Mary's University, NS, Halifax, Canada

Chen, Litong (författare): Qinghai Provincial Key Laboratory of Restoration Ecology of Cold Area and Key Laboratory of Adaptation and Evolution of Plant Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China

Chisholm, Chelsea (författare): Department of Environment Systems Science, Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland

Crowther, Thomas W. (författare): Department of Environment Systems Science, Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland

Deslippe, Julie R. (författare): Centre for Biodiversity and Restoration Ecology, School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand

Grigulis, Karl (författare): Laboratoire d'Ecologie Alpine, Université Grenoble Alpes – CNRS – Université Savoie Mont-Blanc, Grenoble, France

He, Jin-Sheng (författare): Department of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China

Henning, Jeremiah A. (författare): The Rocky Mountain Biological Laboratory, CO, Crested Butte, United States; Department of Biology, University of South Alabama, AL, Mobile, United States

Hovenden, Mark (författare): Biological Sciences, School of Natural Sciences, University of Tasmania, TAS, Hobart, Australia

Høye, Toke T. Thomas (författare): Department of Ecoscience and Arctic Research Centre, Aarhus University, Aarhus C, Denmark

Jing, Xin (författare): Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark; State Key Laboratory of Grassland Agro-Ecosystems, and College of Pastoral Agriculture Science and Technology, Lanzhou University, Gansu, Lanzhou, China

Lavorel, Sandra (författare): Laboratoire d'Ecologie Alpine, Université Grenoble Alpes – CNRS – Université Savoie Mont-Blanc, Grenoble, France

McLaren, Jennie R. (författare): Department of Biological Sciences, University of Texas at El Paso, TX, El Paso, United States

Metcalfe, Daniel B. (författare): Umeå universitet,Institutionen för ekologi, miljö och geovetenskap

Newman, Gregory S. (författare): Department of Biology, University of Oklahoma, OK, Norman, United States

Nielsen, Marie Louise (författare): Department of Ecoscience and Arctic Research Centre, Aarhus University, Aarhus C, Denmark

Rixen, Christian (författare): Mountain Ecosystems Group, WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland

Read, Quentin D. (författare): The Rocky Mountain Biological Laboratory, CO, Crested Butte, United States; National Socio-Environmental Synthesis Center, MD, Annapolis, United States

Rewcastle, Kenna E. (författare): Rubenstein School of Environment and Natural Resources, University of Vermont, VT, Burlington, United States

Rodriguez-Cabal, Mariano (författare): Rubenstein School of Environment and Natural Resources, University of Vermont, VT, Burlington, United States; Grupo de Ecología de Invasiones, INIBIOMA, CONICET, Universidad Nacional del Comahue, San Carlos de Bariloche, Argentina

Wardle, David A. (författare): Asian School of the Environment, Nanyang Technological University, Singapore, Singapore

Wipf, Sonja (författare): Department of Biology, University of Oklahoma, OK, Norman, United States; Department of Research and Monitoring, Chastè Planta-Wildenberg, Zernez, Switzerland

Sanders, Nathan J. (författare): Ecology and Evolutionary Biology Department, University of Michigan, MI, Ann Arbor, United States; The Rocky Mountain Biological Laboratory, CO, Crested Butte, United States; Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark

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2022-10-17
2022
Engelska.
Ingår i: Ecology and Evolution. - : John Wiley & Sons. - 2045-7758. ; 12:10

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A growing body of work examines the direct and indirect effects of climate change on ecosystems, typically by using manipulative experiments at a single site or performing meta-analyses across many independent experiments. However, results from single-site studies tend to have limited generality. Although meta-analytic approaches can help overcome this by exploring trends across sites, the inherent limitations in combining disparate datasets from independent approaches remain a major challenge. In this paper, we present a globally distributed experimental network that can be used to disentangle the direct and indirect effects of climate change. We discuss how natural gradients, experimental approaches, and statistical techniques can be combined to best inform predictions about responses to climate change, and we present a globally distributed experiment that utilizes natural environmental gradients to better understand long-term community and ecosystem responses to environmental change. The warming and (species) removal in mountains (WaRM) network employs experimental warming and plant species removals at high- and low-elevation sites in a factorial design to examine the combined and relative effects of climatic warming and the loss of dominant species on community structure and ecosystem function, both above- and belowground. The experimental design of the network allows for increasingly common statistical approaches to further elucidate the direct and indirect effects of warming. We argue that combining ecological observations and experiments along gradients is a powerful approach to make stronger predictions of how ecosystems will function in a warming world as species are lost, or gained, in local communities.

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NATURVETENSKAP: NATURVETENSKAP; och Biologi; och Ekologi

NATURVETENSKAP: NATURVETENSKAP; och Geovetenskap och ...; och Klimatforskning

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Av lärosätet: Umeå universitet; Sveriges Lantbruksuniversitet

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Integrating natural gradients, experiments, and statistical modeling in a distributed network experiment : An example from the WaRM Network

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