Adding Tree Rings to North America's National Forest Inventories: An Essential Tool to Guide Drawdown of Atmospheric CO2

BioScience, Journal Year: 2021, Volume and Issue: 72(3), P. 233 - 246

Published: Oct. 19, 2021

Tree-ring time series provide long-term, annually resolved information on the growth of trees. When sampled in a systematic context, tree-ring data can be scaled to estimate forest carbon capture and storage landscapes, biomes, and-ultimately-the globe. A effort sample tree rings national inventories would yield unprecedented temporal spatial resolution dynamics help resolve key scientific uncertainties, which we highlight terms evidence for greening (enhanced growth) versus browning (reduced growth, increased mortality). We describe jump-starting collection across continent North America, given commitments Canada, United States, Mexico visit inventory plots, along with existing legacy collections. Failing do so missed opportunity chart an evidence-based path toward meeting reduce net greenhouse gas emissions, urgently needed climate stabilization repair.

Language: Английский

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Early warning signals indicate climate change-induced stress in Norway spruce in the Eastern Carpathians

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169167 - 169167

Published: Dec. 8, 2023

Language: Английский

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Variability in Tree-ring Width and NDVI Responses to Climate at a Landscape Level

Ecosystems, Journal Year: 2023, Volume and Issue: 26(5), P. 1144 - 1157

Published: Jan. 26, 2023

Abstract Inter-annual climatically driven growth variability of above-ground biomass compartments (for example, tree stems and foliage) controls the intensity carbon sequestration into forest ecosystems. However, understanding differences between climatic response stem foliage at landscape level is limited. In this study, we examined climate-growth leaf their relationship for Pinus sylvestris (PISY) Picea abies (PCAB) in topographically complex landscapes. We used tree-ring width chronologies time series normalized difference vegetation index (NDVI) derived from high-resolution Landsat scenes as proxies biomass, respectively. then compared relationships both topographical categories. Our results show that responses rings to climate differ significantly those found NDVI, with stronger signal observed rings. Topography had distinct but species-specific effects: At moisture-limited PISY stands, (tree rings) was strongly driven, relatively insensitive topographic variability. landscapes close optimum PCAB, weak, correlations were often inverse, no significant effects topography. Different signals NDVI suggest canopy change might be decoupled. Furthermore, our hint toward different prioritizations allocation trees under stressful conditions which allometric individual long term.

Language: Английский

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Fusing tree‐ring and forest inventory data to infer influences on tree growth

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

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Advanced X-ray CT scanning can boost tree ring research for earth system sciences

Annals of Botany, Journal Year: 2019, Volume and Issue: 124(5), P. 837 - 847

Published: July 24, 2019

Abstract Background and Aims Tree rings, as archives of the past biosensors present, offer unique opportunities to study influences fluctuating environment over decades centuries. As such, tree-ring-based wood traits are capital input for global vegetation models. To contribute earth system sciences, however, sufficient spatial coverage is required detailed individual-based measurements, necessitating large amounts data. X-ray computed tomography (CT) scanning one few techniques that can deliver such data sets. Methods Increment cores four different temperate tree species were scanned with a state-of-the-art CT at resolutions ranging from 60 μm down 4.5 μm, an additional scan resolution 0.8 splinter-sized sample using second highlight potential cell-level scanning. Calibration-free densitometry, based on full scanner simulation third system, illustrated increment tropical species. Key Results We show how multiscale offers unprecedented mapping rings without manipulation limited operator intervention. Custom-designed holders enable simultaneous multiple ring analysis densitometry well single core enabling quantitative anatomy, thereby approaching conventional thin section approach. Standardized volumes are, furthermore, ideal imagery automated pipelines neural-based learning detection measurements traits. Conclusions Advanced high-throughput processing within reach, generating pith-to-bark width series, density profiles trait This would allow contribution large-scale monitoring modelling efforts coverage.

Language: Английский

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