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Record W4404438179 · doi:10.1016/j.fecs.2024.100275

Sensitivity of gross primary production and evapotranspiration to heat and drought stress in a young temperate plantation in northern China

2024· article· en· W4404438179 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueForest Ecosystems · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Water Relations and Carbon Dynamics
Canadian institutionsUniversity of New Brunswick
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsTemperate climateEvapotranspirationEnvironmental sciencePrimary productionChinaProduction (economics)Heat stressEcosystemForestryAgroforestryGeographyAtmospheric sciencesEcologyGeologyEconomics

Abstract

fetched live from OpenAlex

Assessing the sensitivities of ecosystem functions to climatic factors is essential to understanding the response of ecosystems to environmental change. Temperate plantation forests contribute to global greening and climate change mitigation, yet little is known as to the sensitivity of gross primary production (GPP) and evapotranspiration (ET) of these forests to heat and drought stress. Based on near-continuous, eddy-covariance and hydrometeorological data from a young temperate plantation forest in Beijing, China (2012–2019), we used a sliding-window-fitting technique to assess the seasonal and interannual variation in ecosystem sensitivity (i.e., calculated slopes, S GPP-Ta , S ET-Ta , S GPP-EF , and S ET-EF ) in GPP and ET to anomalies in air temperature ( T a ) and evaporative fraction (EF). The EF was used here as an indicator of drought. Seasonally, daily S GPP-Ta , S ET-Ta , and S GPP-EF were greatest in summer, reaching maxima of 1.12 ​± ​0.56 ​g ​C·m −2 ·d −1 ⋅°C −1 , 1.36 ​± ​0.56 ​g H 2 O·m −2 ·d −1 ⋅°C −1 , and 0.37 ​± ​0.35 ​g ​C·m −2 ·d −1 , respectively. Evapotranspiration was constrained by drought, especially during the spring-to-summer period, S ET-EF reaching −0.51 ​± ​0.34 ​g H 2 O·m −2 ·d −1 . Variables EF, T a , soil water content (SWC), vapor pressure deficit (VPD), and precipitation (PPT) were the main controls of sensitivity, with S GPP-Ta and S ET-Ta increasing with T a , VPD, and PPT (<50 ​mm·d −1 ) during both spring and autumn. Increased drought stress during summer caused the positive response in GPP and ET to decrease with atmospheric warming. Variable S ET-EF intensified (i.e., became more negative) with decreasing EF and increasing T a . Interannually, annual S GPP-Ta and S ET-Ta were positive, S GPP-EF near-neutral, and S ET-EF negative. Interannual variability in S GPP-Ta , S ET-Ta , S ET-EF , and S GPP-EF was largely due to variations in bulk surface conductance. Our study suggests that the dynamics associated with the sensitivity of ecosystems to changes in climatic factors need to be considered in the management of plantation forests under future global climate change. • We assessed S GPP-Ta , S GPP-EF , S ET-Ta and S ET-EF in a plantation forest over 2012–2019. • EF, T a , SWC, VPD, and PPT mainly controlled seasonal S GPP-Ta , S GPP-EF , S ET-Ta and S ET-EF . • Annual S GPP-Ta and S ET-Ta were positive, S GPP-EF near 0.0 and S ET-EF was negative. • G s promoted S GPP-Ta , S GPP-EF , S ET-Ta and S ET-EF at interannual timescales. • Drought stress had greater negative effect on the plantation forest than heat stress.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.188
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it