Evidence map›Paper›PMID 41146635›Full record

ArticleGlobal change biology2025

Site-Specific Drivers of Land-Use Change Effects on Organic Carbon in German Agriculture and Forest Soils.

David Emde, Ali Sakhaee, Christopher Poeplau, Axel Don, Marc Scherstjanoi, Nicole Wellbrock, Florian Schneider

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

David EmdeJohann Heinrich von Thünen Institute, Institute of Climate Smart Agriculture, Braunschweig, Germany.ORCID 0000-0002-7311-3159
Ali SakhaeeJohann Heinrich von Thünen Institute, Institute of Climate Smart Agriculture, Braunschweig, Germany.
Christopher PoeplauJohann Heinrich von Thünen Institute, Institute of Climate Smart Agriculture, Braunschweig, Germany.ORCID 0000-0003-3108-8810
Axel DonJohann Heinrich von Thünen Institute, Institute of Climate Smart Agriculture, Braunschweig, Germany.ORCID 0000-0001-7046-3332
Marc ScherstjanoiJohann Heinrich von Thünen Institute, Institute of Forest Ecosystems, Eberswalde, Germany.
Nicole WellbrockJohann Heinrich von Thünen Institute, Institute of Forest Ecosystems, Eberswalde, Germany.
Florian SchneiderJohann Heinrich von Thünen Institute, Institute of Climate Smart Agriculture, Braunschweig, Germany.ORCID 0000-0003-3036-6284

Funding

Horizon 2020 Framework Programme 862695
6 · The paper itself

Abstract

Understanding the extent to which land-use changes (LUC) impact soil organic carbon (SOC) is essential for accurate carbon accounting and global efforts aimed at reducing the negative impact of LUC on climate change. Recognizing that most of the SOC change due to LUC occurs in the topsoil, current efforts to quantify SOC change often overlook subsoils beyond 30 cm depth. We used data from Germany's national agricultural and forest soil inventories to address this sparsity by modeling depth-dependent, LUC-induced, SOC stock change down to 90 cm using data-driven reciprocal modeling. This modeling was carried out using an ensemble approach for prediction and area of applicability assessments to avoid extrapolation. Landscape, climate, and pedological properties were used to predict the equilibrium SOC stock at four depth intervals (0-10, 10-30, 30-60, and 60-90 cm) for all six land-use change directions between cropland, grassland, and forest. While the greatest change occurred at the surface for all LUC directions, we detected significant SOC stock change down to the sampled depth of 90 cm. Approximately 30% of the detected SOC stock change was found in the subsoil (30-90 cm). For LUC to or from forests, the litter layer dominated the changes in SOC such that for LUC between grassland and forest, SOC stock change in the mineral soil was mostly offset by the addition or removal of the litter layer. For all LUC directions, the World Reference Base soil group was the most important factor for determining the magnitude of SOC stock change. This study underscores the importance of deeper soil sampling for accurate carbon accounting and climate-change mitigation strategies.

Indexed as

AgricultureCarbonForestsSoilClimate ChangeGermanyModels, TheoreticalCarbonSoilagricultureforestland‐use changeLUCLULUCFSOCSOC driverssoil carbonsoil depthsubsoil

Identifiers

PMID41146635
PMCPMC12559880

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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.