Articles | Volume 14, issue 18
https://doi.org/10.5194/bg-14-4255-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-4255-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Ideas and perspectives
| 
25 Sep 2017
Ideas and perspectives |
| 25 Sep 2017
Detecting impacts of extreme events with ecological in situ monitoring networks
Miguel D. Mahecha
CORRESPONDING AUTHOR
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
German Centre for Integrative Biodiversity Research (iDiv), Deutscher Platz 5e, 04103 Leipzig, Germany
Michael Stifel Centre Jena for Data-Driven and Simulation Science, 07743 Jena, Germany
Fabian Gans
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Sebastian Sippel
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Jonathan F. Donges
Earth System Analysis, Potsdam Institute for Climate Impact Research, Telegrafphenberg A62, 14473 Potsdam, Germany
Stockholm Resilience Centre, Stockholm University, Kräftriket 2B, 114 19 Stockholm, Sweden
Thomas Kaminski
The Inversion Lab, Tewessteg 4, 20249 Hamburg, Germany
Stefan Metzger
National Ecological Observatory Network, Fundamental Instrument Unit, Boulder, CO, USA
University of Colorado, Institute for Arctic and Alpine Research, Boulder, CO, USA
Mirco Migliavacca
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Dario Papale
Department for Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, Viterbo, Italy
Euro-Mediterranean Centre on Climate Change (CMCC), 01100 Viterbo, Italy
Anja Rammig
Technische Universität München, Hans-Carl-von-Carlowitz-Platz 2, 85354 Freising, Germany
Jakob Zscheischler
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
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- Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites D. Papale 10.5194/bg-17-5587-2020
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- Networking the forest infrastructure towards near real-time monitoring – A white paper R. Zweifel et al. 10.1016/j.scitotenv.2023.162167
- Sensitivity of gross primary productivity to climatic drivers during the summer drought of 2018 in Europe Z. Fu et al. 10.1098/rstb.2019.0747
- Efficient hyper-parameter determination for regularised linear BRDF parameter retrieval J. Zobitz et al. 10.1080/01431161.2019.1667552
- Vegetation modulates the impact of climate extremes on gross primary production M. Flach et al. 10.5194/bg-18-39-2021
- Gaps in network infrastructure limit our understanding of biogenic methane emissions for the United States S. Malone et al. 10.5194/bg-19-2507-2022
- Forest aging, disturbance and the carbon cycle P. Curtis & C. Gough 10.1111/nph.15227
- Summarizing the state of the terrestrial biosphere in few dimensions G. Kraemer et al. 10.5194/bg-17-2397-2020
- Biased random walkers and extreme events on the edges of complex networks G. Gandhi & M. Santhanam 10.1103/PhysRevE.105.014315
- Marine microbes in 4D — using time series observation to assess the dynamics of the ocean microbiome and its links to ocean health P. Buttigieg et al. 10.1016/j.mib.2018.01.015
- To replicate, or not to replicate – that is the question: how to tackle nonlinear responses in ecological experiments J. Kreyling et al. 10.1111/ele.13134
- Contrasting biosphere responses to hydrometeorological extremes: revisiting the 2010 western Russian heatwave M. Flach et al. 10.5194/bg-15-6067-2018
- Drought, Heat, and the Carbon Cycle: a Review S. Sippel et al. 10.1007/s40641-018-0103-4
- Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
- A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America L. Estupinan-Suarez et al. 10.3389/feart.2021.613395
- Increasing impact of warm droughts on northern ecosystem productivity over recent decades D. Gampe et al. 10.1038/s41558-021-01112-8
- Extreme weather and climate events in northern areas: A review J. Walsh et al. 10.1016/j.earscirev.2020.103324
- Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones J. von Buttlar et al. 10.5194/bg-15-1293-2018
- Estimating causal networks in biosphere–atmosphere interaction with the PCMCI approach C. Krich et al. 10.5194/bg-17-1033-2020
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data F. Sittaro et al. 10.3390/rs14040823
- The InVEST Habitat Quality Model Associated with Land Use/Cover Changes: A Qualitative Case Study of the Winike Watershed in the Omo-Gibe Basin, Southwest Ethiopia A. Berta Aneseyee et al. 10.3390/rs12071103
- A joint framework for studying compound ecoclimatic events A. Bastos et al. 10.1038/s43017-023-00410-3
- Earth system data cubes unravel global multivariate dynamics M. Mahecha et al. 10.5194/esd-11-201-2020
- Satellite Observations of the Contrasting Response of Trees and Grasses to Variations in Water Availability S. Walther et al. 10.1029/2018GL080535
- From NEON Field Sites to Data Portal: A Community Resource for Surface–Atmosphere Research Comes Online S. Metzger et al. 10.1175/BAMS-D-17-0307.1
- Critical thresholds for nonlinear responses of ecosystem water use efficiency to drought Y. Hu et al. 10.1016/j.scitotenv.2024.170713
- The eddy-covariance storage term in air: Consistent community resources improve flux measurement reliability K. Xu et al. 10.1016/j.agrformet.2019.107734
- Novel approach to observing system simulation experiments improves information gain of surface–atmosphere field measurements S. Metzger et al. 10.5194/amt-14-6929-2021
Latest update: 29 Jun 2024
Short summary
We investigate the likelihood of ecological in situ networks to detect and monitor the impact of extreme events in the terrestrial biosphere.
We investigate the likelihood of ecological in situ networks to detect and monitor the impact of...
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