Articles | Volume 14, issue 1
https://doi.org/10.5194/esd-14-173-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-14-173-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Feb 2023
Research article |
| 14 Feb 2023
| 14 Feb 2023
Reliability of resilience estimation based on multi-instrument time series
Institute of Geosciences, Universität Potsdam, Potsdam, Germany
Ruxandra-Maria Zotta
Department of Geodesy and Geo-Information, Vienna University of Technology, Vienna, Austria
Chris A. Boulton
Global Systems Institute, University of Exeter, Exeter, UK
Timothy M. Lenton
Global Systems Institute, University of Exeter, Exeter, UK
Wouter Dorigo
Department of Geodesy and Geo-Information, Vienna University of Technology, Vienna, Austria
Niklas Boers
Global Systems Institute, University of Exeter, Exeter, UK
Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Department of Mathematics, University of Exeter, Exeter, UK
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- From historians to forecasters: The potential of bivalve records to assess resilience and provide early warnings for marine tipping points B. Arellano‐Nava et al. 10.1002/lol2.10455
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24 citations as recorded by crossref.
- VODCA v2: multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring R. Zotta et al. 10.5194/essd-16-4573-2024
- Sustainable growth of China’s forest biomass carbon storage since 2002: Facing threats and loss risks Q. Lv et al. 10.1016/j.geosus.2025.100340
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- Uncertainties in critical slowing down indicators of observation-based fingerprints of the Atlantic Overturning Circulation M. Ben-Yami et al. 10.1038/s41467-023-44046-9
- Critical slowing down of the Amazon forest after increased drought occurrence J. Van Passel et al. 10.1073/pnas.2316924121
- Increasing climate variability makes Southeast Asian forests more vulnerable to anthropogenic and environmental stressors Y. Chu et al. 10.1016/j.gloplacha.2025.105138
- Assessment of terrestrial ecosystem sensitivity to climate change in arid, semi-arid, sub-humid, and humid regions using EVI, LAI, and SIF products J. Chen et al. 10.1016/j.ecolind.2023.111511
- Uncertainties too large to predict tipping times of major Earth system components from historical data M. Ben-Yami et al. 10.1126/sciadv.adl4841
- Recent and early 20th century destabilization of the subpolar North Atlantic recorded in bivalves B. Arellano-Nava et al. 10.1126/sciadv.adw3468
- Resilience Indicators for Tropical Rainforests in a Dynamic Vegetation Model S. Bathiany et al. 10.1111/gcb.17613
- Tipping point detection and early warnings in climate, ecological, and human systems V. Dakos et al. 10.5194/esd-15-1117-2024
- Internal Noise Interference to Warnings of Tipping Points in Generic Multidimensional Dynamical Systems A. Morr et al. 10.1137/24M1669104
- Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook S. Bathiany et al. 10.1007/s10712-024-09833-z
- Reply to: Little evidence that Amazonian rainforests are approaching a tipping point C. Boulton et al. 10.1038/s41558-023-01854-7
- Ambiguity of early warning signals for climate tipping points M. Rietkerk et al. 10.1038/s41558-025-02328-8
- Intelligent IoT-driven optimization of large-scale healthcare networks: the INRwLF algorithm for adaptive efficiency R. Abujassar 10.1007/s10791-025-09601-6
- Remotely sensing potential climate change tipping points across scales T. Lenton et al. 10.1038/s41467-023-44609-w
- Destabilization of Earth system tipping elements N. Boers et al. 10.1038/s41561-025-01787-0
- Rainfall seasonality dominates critical precipitation threshold for the Amazon forest in the LPJmL vegetation model D. Nian et al. 10.1016/j.scitotenv.2024.174378
- Warming and disturbances affect Arctic-boreal vegetation resilience across northwestern North America Y. Zhang et al. 10.1038/s41559-024-02551-0
- Shifted vegetation resilience from loss to gain driven by changes in water availability and solar radiation over the last two decades in Southwest China H. Chen et al. 10.1016/j.agrformet.2025.110543
- Influence of sampling strategy, alignment method and growth morphology on the temporal contextualization of high-resolution geochemical data L. Fröhlich et al. 10.1016/j.palaeo.2025.113003
- From historians to forecasters: The potential of bivalve records to assess resilience and provide early warnings for marine tipping points B. Arellano‐Nava et al. 10.1002/lol2.10455
- Spatial transmission of resilience loss in deltaic dynamic systems Y. Wang et al. 10.1038/s43247-025-02519-3
1 citations as recorded by crossref.
Latest update: 02 Nov 2025
Short summary
Multi-instrument records with varying signal-to-noise ratios are becoming increasingly common as legacy sensors are upgraded, and data sets are modernized. Induced changes in higher-order statistics such as the autocorrelation and variance are not always well captured by cross-calibration schemes. Here we investigate using synthetic examples how strong resulting biases can be and how they can be avoided in order to make reliable statements about changes in the resilience of a system.
Multi-instrument records with varying signal-to-noise ratios are becoming increasingly common as...
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