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Michael M. Loranty

Researcher at Colgate University

Publications -  64
Citations -  3514

Michael M. Loranty is an academic researcher from Colgate University. The author has contributed to research in topics: Taiga & Permafrost. The author has an hindex of 23, co-authored 53 publications receiving 2336 citations. Previous affiliations of Michael M. Loranty include University at Buffalo & Woods Hole Research Center.

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Shifts in Arctic vegetation and associated feedbacks under climate change

TL;DR: The authors showed that climate change could lead to a major redistribution of vegetation across the Arctic, with important implications for biosphere-atmosphere interactions, as well as for biodiversity conservation and ecosystem services.
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Complexity revealed in the greening of the Arctic

Isla H. Myers-Smith, +45 more
TL;DR: In this paper, a consensus is emerging that the underlying causes and future dynamics of so-called Arctic greening and browning trends are more complex, variable and inherently scale-dependent than previously thought.
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Fire as a fundamental ecological process: research advances and frontiers

Kendra K. McLauchlan, +43 more
- 01 Sep 2020 - 
TL;DR: In this paper, the diversity of ways in which fire operates as a fundamental ecological and evolutionary process on Earth is described, and the need to study fire across temporal scales, to assess the mechanisms underlying a variety of ecological feedbacks involving fire and to improve representation of fire in a range of modelling contexts.
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Large loss of CO2 in winter observed across the northern permafrost region

Susan M. Natali, +81 more
TL;DR: In this paper, the authors synthesize regional in situ observations of CO2 flux from Arctic and boreal soils to assess current and future winter carbon losses from the northern permafrost domain.
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Vegetation controls on northern high latitude snow‐albedo feedback: observations and CMIP5 model simulations

TL;DR: This work compares satellite observations and coupled climate model representations of albedo and tree cover for the boreal and Arctic region to demonstrate a relationship between tree cover and snow-albedo feedback that may be used to accurately constrain high latitude alBedo feedbacks in coupled climate models under current and future vegetation distributions.