Natural and Human Disturbances Have Non-Linear Effects on Whole-Ecosystem Carbon Storage in an African Savanna

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*Title:*	Main Title: Natural and Human Disturbances Have Non-Linear Effects on Whole-Ecosystem Carbon Storage in an African Savanna
*Description:*	Abstract: Uncertainties in carbon storage estimates for disturbance-prone dryland ecosystems hinder accurate assessments of their contribution to the global carbon budget. This study examines the effects of land-use change on carbon storage in an African savanna landscape, focusing on two major land-use change pathways: agricultural intensification and wildlife conservation, both of which alter disturbance regimes. By adapting tree inventory and soil sampling methods for dryland conditions, we quantified aboveground and belowground carbon in woody vegetation (AGC and BGC) and soil organic carbon (SOC) across these pathways in two vegetation types (scrub savanna and woodland savanna). We used Generalized Additive Mixed Models to assess the effects of multiple environmental drivers on AGC and whole-ecosystem carbon storage (Ctotal). Our findings revealed a pronounced variation in the vulnerability of carbon reservoirs to disturbance, depending on land-use change pathway and vegetation type. In scrub savanna vegetation, shrub AGC emerged as the most vulnerable carbon reservoir, declining on average by 56% along the conservation pathway and 90% along the intensification pathway compared to low-disturbance sites. In woodland savanna, tree AGC was most affected, decreasing on average by 95% along the intensification pathway. Unexpectedly, SOC stocks were often higher at greater disturbance levels, particularly under agricultural intensification, likely due to the preferential conversion of naturally carbon-richer soils for agriculture and the redistribution of AGC to SOC through megaherbivore browsing. Strong unimodal relationships between disturbance agents, such as megaherbivore browsing and woodcutting, and both AGC and Ctotal suggest that intermediate disturbance levels can enhance ecosystem-level carbon storage in disturbance-prone dryland ecosystems. These findings underline the importance of locally tailored management strategies – such as in carbon certification schemes – that reconcile disturbance regimes in drylands with carbon sequestration goals. Moreover, potential trade-offs between land-use objectives and carbon storage goals must be considered.
*Identifiers:*	10.1111/gcb.70163 (DOI) https://onlinelibrary.wiley.com/doi/10.1111/gcb.70163 (URL)

Responsible Party

*Creators:*	Liana Kindermann (Author), Alexandra Sandhage-Hofmann (Author), Wulf Amelung (Author), Jan Börner (Author), Magnus Dobler (Author), Ezequiel Chimbioputo Fabiano (Author), Maximilian Meyer (Author), Anja Linstädter (Author)
*Publisher:*	John Wiley & Sons, Inc
*Publication Year:*	2025

Topic

*TRR228 Topic:*	Ecology
*Related Subproject:*	A1
*Subjects:*	Keywords: Carbon, Carbon Sequestration, Carbon Storage Dynamics, Vegetation, Vegetation Structure, Ecology, Social Ecological Transformation, Land Use Change, Soil Carbon, Soil Fertility, Soil Organic Carbon, Ecosystem
*Geogr. Information Topic:*	Biota

File Details

*Filename:*	Kindermann-etal_2025_GCB_Natural-and-Human-Disturbances-Have-Non‐Linear-Effects-on-Whole‐Ecosystem.pdf
*Data Type:*	Data Paper - Research Publication
*File Size:*	6.8 MB
*Dates:*	Available: 15.04.2025 Accepted: 12.03.2025 Submitted: 17.05.2024
*Mime Type:*	application/pdf
*Data Format:*	PDF
*Language:*	English
*Status:*	Completed

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*Download Permission:*	Only Project Members (Download Embargo will be lifted after project end)
*Download Information:*	Publication and the accompanying Supporting Information / Supplementary Material were published open access and are free to download from the journal website: https://onlinelibrary.wiley.com/doi/10.1111/gcb.70163 The data used in this research was also made available here: Kindermann, L., A. Sandhage-Hofmann, W. Amelung, A. Linstädter: Data on Carbon Storage in Vegetation and Soils and Environmental Predictors of Savanna Carbon Storage. URL: https://www.trr228db.uni-koeln.de/search/view.php?dataID=575, DOI: https://dx.doi.org/10.5880/TRR228DB.35 The R script with which the analyses were conducted is publicly available here: Kindermann, L., 2025. Analysing Carbon Storage in Vegetation and Soils of an African Savanna Ecosystem. TRR228-DB. URL: https://www.trr228db.uni-koeln.de/search/view.php?dataID=576; DOI: https://dx.doi.org/10.5880/TRR228DB.36
*General Access and Use Conditions:*	According to the TRR228DB data policy agreement.
*Access Limitations:*	According to the TRR228DB data policy agreement.
*Licence:*	[TRR228DB] Data policy agreement

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Specific Information - Publication

*Publication Status:*	Published
*Review Status:*	Peer reviewed
*Publication Type:*	Article
*Article Type:*	Journal
*Source:*	Global Change Biology
*Source Website:*	https://onlinelibrary.wiley.com/doi/10.1111/gcb.70163
*Issue:*	4
*Volume:*	31
*Number of Pages:*	1 (70163 - 70163)

Metadata Details

*Metadata Creator:*	Liana Kindermann
*Metadata Created:*	16.04.2025
*Metadata Last Updated:*	17.04.2025
*Subproject:*	A1
*Funding Phase:*	2
*Metadata Language:*	English
*Metadata Version:*	V50

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