Fusing tree‐ring and forest inventory data to infer influences on tree growth DOI Creative Commons
Margaret E. K. Evans, Donald A. Falk, Alexis Arizpe

et al.

Ecosphere, Journal Year: 2017, Volume and Issue: 8(7)

Published: July 1, 2017

Abstract Better understanding and prediction of tree growth is important because the many ecosystem services provided by forests uncertainty surrounding how will respond to anthropogenic climate change. With ultimate goal improving models forest dynamics, here we construct a statistical model that combines complementary data sources, tree‐ring inventory data. A Bayesian hierarchical was used gain inference on effects factors growth—individual size, climate, biophysical conditions, stand‐level competitive environment, tree‐level canopy status, management treatments—using both diameter at breast height (dbh) The consists two multiple regression models, one each for linked via constant proportionality between coefficients are found in parallel regressions. This applied set ~130 increment cores ~500 repeat measurements dbh single site Jemez Mountains north‐central New Mexico, USA . serve as only source information annual responds variation, whereas types inform non‐climatic growth. Inferences from included positive seasonal precipitation, wetness index, ratio, negative dbh, temperature, southerly aspect radiation, plot basal area. Climatic inferred were confirmed dendroclimatic analysis. Combining sources substantially reduced about non‐climate fixed radial increments. demonstrates measured trees, combined with developed small number can be quantify parse influences absolute We highlight kinds research questions addressed combining high‐resolution contained rings rich tree‐ inventories, including projection under future scenarios, carbon accounting, investigation actions aimed increasing resilience.

Language: Английский

Twentieth century redistribution in climatic drivers of global tree growth DOI Creative Commons
Flurin Babst, Olivier Bouriaud, Benjamin Poulter

et al.

Science Advances, Journal Year: 2019, Volume and Issue: 5(1)

Published: Jan. 4, 2019

Water availability and demand are becoming the dominant limitations of tree growth across boreal temperate zones.

Language: Английский

Citations

400
When tree rings go global: Challenges and opportunities for retro- and prospective insight DOI Creative Commons
Flurin Babst, Paul Bodesheim, Noah Charney

et al.

Quaternary Science Reviews, Journal Year: 2018, Volume and Issue: 197, P. 1 - 20

Published: Aug. 8, 2018

Language: Английский

Citations

181
Global assessment of relationships between climate and tree growth DOI Creative Commons
Martin Wilmking, Marieke van der Maaten‐Theunissen, Ernst van der Maaten

et al.

Global Change Biology, Journal Year: 2020, Volume and Issue: 26(6), P. 3212 - 3220

Published: March 3, 2020

Tree-ring records provide global high-resolution information on tree-species responses to change, forest carbon and water dynamics, past climate variability extremes. The underlying assumption is a stationary (time-stable), quasi-linear relationship between tree growth environment, which however conflicts with basic ecological evolutionary theory. Indeed, our assessment of the relevant tree-ring literature demonstrates non-stationarity in majority tested cases, not limited specific proxies, environmental parameters, regions or species. Non-stationarity likely represents general nature tree-growth proxies environment. Studies assuming stationarity score two times more citations influencing other fields science science-policy interface. To reconcile reality application for estimates, we clarification concept, propose simple confidence framework re-evaluation existing studies recommend use new statistical tool detect proxies. Our contribution meant stimulate facilitate discussion light results help increase tree-ring-based estimates science, public policymakers.

Language: Английский

Citations

173
An earlier start of the thermal growing season enhances tree growth in cold humid areas but not in dry areas DOI
Shan Gao, Eryuan Liang, Ruishun Liu

et al.

Nature Ecology & Evolution, Journal Year: 2022, Volume and Issue: 6(4), P. 397 - 404

Published: Feb. 28, 2022

Language: Английский

Citations

150
Tropical tree growth driven by dry-season climate variability DOI
Pieter A. Zuidema, Flurin Babst, Peter Groenendijk

et al.

Nature Geoscience, Journal Year: 2022, Volume and Issue: 15(4), P. 269 - 276

Published: March 31, 2022

Language: Английский

Citations

86
The International Tree‐Ring Data Bank (ITRDB) revisited: Data availability and global ecological representativity DOI
Shoudong Zhao, Neil Pederson, Loïc D’Orangeville

et al.

Journal of Biogeography, Journal Year: 2018, Volume and Issue: 46(2), P. 355 - 368

Published: Dec. 5, 2018

Abstract Aim The International Tree‐Ring Data Bank ( ITRDB ) is the most comprehensive database of tree growth. To evaluate its usefulness and improve accessibility to broad scientific community, we aimed to: (a) quantify biases, (b) assess how well it represents global forests, (c) develop tools identify priority areas representativity, d) make available corrected database. Location Worldwide. Time period Contributed datasets between 1974 2017. Major taxa studied Trees. Methods We identified formatting issues in all individual . then calculated representativity with respect species, spatial coverage, climatic regions, elevations, need for data update, limitations on growth, vascular plant diversity, associated animal diversity. combined these metrics into a Priority Sampling Index PSI highlight ways representativity. Results Our refined dataset provides access network >52 million growth points worldwide. found, however, that dominated by trees from forests low semi‐arid climates, coniferous western North America. Conifers represented 81% even well‐sampled areas, broadleaves were poorly represented. stressed increase diversity terms broadleaf species regions require attention. Great gains will be made increasing research sharing African, Asian, South American forests. Main conclusions extensive coverage show great promise address macroecological questions. achieve this, have overcome significant gaps A strategic organized group effort required, hope provided here can guide efforts this invaluable

Language: Английский

Citations

158
Limited capacity of tree growth to mitigate the global greenhouse effect under predicted warming DOI Creative Commons

Ulf Büntgen,

Paul J. Krusic,

Alma Piermattei

et al.

Nature Communications, Journal Year: 2019, Volume and Issue: 10(1)

Published: May 15, 2019

It is generally accepted that animal heartbeat and lifespan are often inversely correlated, however, the relationship between productivity longevity has not yet been described for trees growing under industrial pre-industrial climates. Using 1768 annually resolved absolutely dated ring width measurement series from living dead conifers grew in undisturbed, high-elevation sites Spanish Pyrenees Russian Altai over past 2000 years, we test hypothesis of grow fast-die young. We find maximum tree ages significantly correlated with slow juvenile growth rates. conclude, interdependence higher stem productivity, faster turnover, shorter carbon residence time, reduces capacity forest ecosystems to store a climate warming-induced stimulation at policy-relevant timescales.

Language: Английский

Citations

144
Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis DOI Creative Commons
Roland Baatz, Harrie‐Jan Hendricks Franssen, E. S. Euskirchen

et al.

Reviews of Geophysics, Journal Year: 2021, Volume and Issue: 59(3)

Published: July 31, 2021

Abstract A reanalysis is a physically consistent set of optimally merged simulated model states and historical observational data, using data assimilation. High computational costs for modeled processes assimilation algorithms has led to Earth system specific products the atmosphere, ocean land separately. Recent developments include advanced uncertainty quantification generation biogeochemical ocean. Here, we review atmospheric oceanic reanalyzes, more in detail terrestrial reanalyzes. In particular, identify surface, hydrologic carbon cycle reanalyzes which are nowadays produced targeted projects very purposes. Although future joint hydrologic, represents an analysis important ecosystem variables, biotic variables assimilated only limited extent. Continuous sets needed explore biotic‐abiotic interactions response ecosystems global change. Based on existing achievements, five major steps required develop deliver continuous streams dynamics.

Language: Английский

Citations

59
Quantitative vessel mapping on increment cores: a critical comparison of image acquisition methods DOI Creative Commons
Richard L. Peters, Stefan Klesse, Jan Van den Bulcke

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 12, 2025

Introduction Quantitative wood anatomy is critical for establishing climate reconstruction proxies, understanding tree hydraulics, and quantifying carbon allocation. Its accuracy depends upon the image acquisition methods, which allows identification of number dimensions vessels, fibres, tracheids within a ring. Angiosperm analysed with variety different including surface pictures, anatomical micro-sections, or X-ray computed micro-tomography. Despite known advantages disadvantages, quantitative impact method selection on parameters not well understood. Methods In this study, we present systematic uncertainty analysis commonly used parameters. We four samples, representing range porosity, using micro-CT scans, micro-sections. Inter-annual patterns were compared between methods from five most frequently parameters, namely mean lumen area ( MLA ), vessel density VD vessels VN hydraulic diameter D h relative conductive RCA ). A novel sectorial approach was applied samples to obtain intra-annual profiles l specific theoretical conductivity K s ρ Results Our mapping revealed that values obtained are comparable across supporting use easily applicable picture ring-porous diffuse-porous species. While variability captured by species, ) overestimated due lack fibre detection. Discussion study highlights potential limitations extracting Moreover, standardized workflow assessing radial ring profiles. These findings encourage compilation all studies further research refine these ultimately enhancing accuracy, replication, spatial representation studies.

Language: Английский

Citations

1
Detecting impacts of extreme events with ecological in situ monitoring networks DOI Creative Commons
Miguel D. Mahecha, Fabian Gans, Sebastian Sippel

et al.

Biogeosciences, Journal Year: 2017, Volume and Issue: 14(18), P. 4255 - 4277

Published: Sept. 25, 2017

Abstract. Extreme hydrometeorological conditions typically impact ecophysiological processes on land. Satellite-based observations of the terrestrial biosphere provide an important reference for detecting and describing spatiotemporal development such events. However, in-depth investigations ecological during extreme events require additional in situ observations. The question is whether density existing networks sufficient analysing events, what are expected event detection rates a given size. To assess these issues, we build baseline reductions fraction absorbed photosynthetically active radiation (FAPAR), identified by new method tailored to identify extremes regional relevance. We then investigate success hypothetical varying sizes. Our results show that large can be reliably detected with relatively small networks, but also reveal linear decay probabilities towards smaller log–log space. For instance, ≈ 100 randomly placed sites Europe yield ≥ 90 % chance eight largest (typically very large) events; only 50 capturing 39 These findings consistent probability-theoretic considerations, slopes deviate due temporal autocorrelation exact implementation algorithm. Using examples AmeriFlux NEON, degree capture Consistent our theoretical find today's systematically designed (i.e. NEON) detect extremes, not higher than would achieved networks. Spatio-temporal expansions monitoring should carefully consider size distribution characteristics if aim monitor impacts biosphere.

Language: Английский

Citations

71