Evidence map›Paper›PMID 41732952›Full record

ArticleGlobal change biology2026

Trade-Offs Between Carbon and Water Fluxes Along a Land Use Intensity Gradient in Southeast Asian Forests and Plantations.

Bayu Budi Hanggara, Christian Stiegler, Yoshiaki Hata, Lulie Melling, Tania June, Tomo'omi Kumagai, Takashi Hirano, Alexander Knohl

Abstract read
In one paragraph

Article in Global change biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bayu Budi HanggaraUniversity of Göttingen, Bioclimatology, Göttingen, Germany.ORCID 0009-0004-0208-5842
Christian StieglerUniversity of Göttingen, Bioclimatology, Göttingen, Germany.ORCID 0000-0002-0130-2401
Yoshiaki HataGraduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID 0000-0001-7703-0863
Lulie MellingSarawak Tropical Peat Research Institute, Kota Samarahan, Malaysia.ORCID 0000-0003-4480-517X
Tania JuneDepartment of Geophysics and Meteorology, IPB University, Bogor, Indonesia.ORCID 0000-0003-2068-3219
Tomo'omi KumagaiGraduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID 0000-0001-8331-271X
Takashi HiranoResearch Faculty of Agriculture, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-0325-3922
Alexander KnohlUniversity of Göttingen, Bioclimatology, Göttingen, Germany.ORCID 0000-0002-7615-8870

Funding

ClimReg project 532868192Collaborative Research Center 990 192626868The Deutsche Forschungsgemeinchaft (DFG)
6 · The paper itself

Abstract

Land use intensity (LUI) significantly influences the biophysical and biogeochemical properties of the global landscape. The impact of LUI is exceptionally strong in Southeast Asia (SEA), where forests are increasingly being replaced by intensively managed plantations. Despite these transformations, comprehensive studies on how different LUI regulate carbon, energy, and water fluxes in this region remain scarce. In this study, we examine data from 16 eddy covariance (EC) flux tower sites in SEA, representing a total of 112 years of measurements. We aim to assess trade-offs in carbon fluxes, light use efficiency (LUE), and water use efficiency (WUE) across a gradient of LUI: low (primary forests), medium (secondary forests), and high (plantations). Our findings reveal that mature high LUI sites on mineral soil act as carbon sinks; however, their high evapotranspiration rates often exceed site-specific precipitation, making them susceptible to water stress. For example, mean annual carbon uptake at high LUI sites (ranged from -1.19 to -0.74 kg C m

Indexed as

AgricultureCarbonCarbon CycleForestsWater CycleAsia, SoutheasternWaterCarbonWatercarbon fluxeseddy covarianceforestsland use intensityplantations

Identifiers

PMID41732952
PMCPMC12930338

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.