A5044476524- Climate change and permafrost
- Cryospheric studies and observations
- Peatlands and Wetlands Ecology
- Geology and Paleoclimatology Research
- Atmospheric and Environmental Gas Dynamics
- Forest Management and Policy
- Polar Research and Ecology
- Indigenous Studies and Ecology
- Ecology and Vegetation Dynamics Studies
- Forest ecology and management
- Soil and Unsaturated Flow
- Soil Geostatistics and Mapping
University of Copenhagen
2017-2024
Abisko Scientific Research Station
2023-2024
Umeå University
2023-2024
Swedish Polar Research Secretariat
2023
Impact
2023
Abstract Arctic and alpine tundra ecosystems are large reservoirs of organic carbon 1,2 . Climate warming may stimulate ecosystem respiration release into the atmosphere 3,4 The magnitude persistency this stimulation environmental mechanisms that drive its variation remain uncertain 5–7 This hampers accuracy global land carbon–climate feedback projections 7,8 Here we synthesize 136 datasets from 56 open-top chamber in situ experiments located at 28 arctic sites which have been running for...
Abstract Warming in the Arctic accelerates top‐soil decomposition and deep‐soil permafrost thaw. This may lead to an increase plant‐available nutrients throughout active layer soil near thaw front. For nitrogen (N) limited high arctic plants, increased N availability enhance growth alter community composition, importantly affecting ecosystem carbon balance. However, extent which plants can take advantage of this newly available be constrained by following three factors: vertical distribution...
The Arctic winter, which lasts for more than half the year, is not a simple, dormant phase as traditionally perceived. Instead, it involves active microbial processes under snow cover, driven by soil temperature and moisture dynamics. These highlight ongoing activity its potential interactions with environment, challenging notion of winter period ecological dormancy. Variation in temperature, light, snowfall  throughout can influence these processes, therefore essential to study how...
Permafrost thaw is a major potential feedback source to climate change as it can drive the increased release of greenhouse gases carbon dioxide (CO2 ) and methane (CH4 ). This from decomposition thawing soil organic material be mitigated by net primary productivity (NPP) caused warming, increasing atmospheric CO2 , plant community transition. However, effect on C storage also depends how these changes alter litter quantity, quality, rates. Predicting rates based quality remains challenging,...
Abstract Methane (CH 4 ) is a powerful greenhouse gas controlled by both biotic and abiotic processes. Few studies have investigated CH fluxes in subarctic heath ecosystems, climate change‐induced shifts flux the overall carbon budget are therefore largely unknown. Hence, there an urgent need for long‐term situ experiments allowing study of ecosystem processes over time scales relevant to environmental change. Here we present CO 2 measurements from wet northern Sweden subjected 16 years...
Abstract As arctic permafrost continues to thaw, previously inaccessible nitrogen (N) becomes available N‐limited plants. Increased N availability could enhance plant growth and thereby potentially offset climate‐induced carbon release. Arctic plants can take up newly permafrost‐N locally upon However, in a topographically diverse landscape, may be transported along hillslopes, away from the point‐of‐release. The extent which topographical transport impact vegetation change depends on...
Vegetation changes in a warming Arctic may affect plant-associated soil microbial communities with possible consequences for the biogeochemical cycling of carbon (C) and nitrogen (N). In sub-arctic tundra heath, we factorially removed plant species ecto- ericoid mycorrhizal associations. After two years, explored how type-specific removal influences communities, C N pools, extracellular enzymatic activities. Removal plants did not change fungal or bacterial community composition their enzyme...
Summary Targeted removal experiments are a powerful tool to assess the effects of plant species or (functional) groups on ecosystem functions. However, removing biomass in itself can bias observed responses. This is commonly addressed by waiting until recovery, but this inherently based unverified proxies anecdotal evidence. Statistical control methods efficient, restricted scope underlying assumptions. We propose accounting for such biases within experimental design, using gradient...
Summary Targeted removal experiments are a powerful tool to assess the effects of plant species or (functional) groups on ecosystem functions. However, removing biomass in itself can bias observed responses. This is commonly addressed by waiting until recovery, but this inherently based unverified proxies anecdotal evidence. Statistical control methods efficient, restricted scope underlying assumptions. We propose accounting for such biases within experimental design, using gradient...