A new protocol for estimation of woody aboveground biomass in disturbance-prone ecosystems

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Title:Main Title: A new protocol for estimation of woody aboveground biomass in disturbance-prone ecosystems
Description:Abstract: Almost one third of global drylands are open forests and savannas, which are typically shaped by frequent natural disturbances such as wildfire and herbivory. Studies on ecosystem functions and services of woody vegetation require robust estimates of aboveground biomass (AGB). However, most methods have been developed for comparatively undisturbed forest ecosystems. As they are not tailored to accurately quantify AGB of small and irregular growth forms, their application on these growth forms may lead to unreliable or even biased AGB estimates in disturbance-prone dryland ecosystems. Moreover, these methods cannot quantify AGB losses caused by disturbance agents. Here we propose a methodology to estimate individual- and stand-level woody AGB in disturbance-prone ecosystems. It consists of flexible field sampling routines and estimation workflows for six growth classes, delineated by size and damage criteria. It also comprises a detailed damage assessment, harnessing the ecological archive of woody growth for past disturbances. Based on large inventories collected along steep gradients of elephant disturbances in African dryland ecosystems, we compared the AGB estimates generated with our proposed method against estimates from a less adapted forest inventory method. We evaluated the necessary stepwise procedures of method adaptation and analyzed each step’s effect on stand-level AGB estimation. We further explored additional advantages of our proposed method with regard to disturbance impact quantification. Results indicate that a majority of growth forms and individuals in savanna vegetation could only be assessed if methods of AGB estimation were adapted to the conditions of a disturbance-prone ecosystem. Furthermore, our damage assessment demonstrated that one third to half of all woody AGB was lost to disturbances. Consequently, less adapted methods may be insufficient and are likely to render inaccurate AGB estimations. Our proposed method has the potential to accurately quantify woody AGB in disturbance-prone ecosystems, as well as AGB losses. Our method is more time consuming than conventional allometric approaches, yet it can cover sufficient areas within reasonable timespans, and can also be easily adapted to alternative sampling schemes.
Identifier:10.1016/j.ecolind.2021.108466 (DOI)
Related Resource:Is New Version Of Data Paper 10.5880/TRR228DB.5 (DOI)
Citation Advice:Kindermann L, Dobler M, Niedeggen D, Linstädter A (2022). A new protocol for estimation of woody aboveground biomass in disturbance-prone ecosystems. Ecol. Indic. 135, 108466, https://doi.org/10.1016/j.ecolind.2021.108466.
Responsible Party
Creators:Liana Kindermann (Author), Magnus Dobler (Author), Daniela Niedeggen (Author), Anja Linstädter (Author)
Publication Year:2022
TRR228 Topic:Ecology
Related Subproject:A1
Subjects:Keywords: Biomass, Carbon, Carbon Storage Dynamics, Conservation Areas, Ecology, Ecosystem, National Park, Vegetation, Vegetation Structure, Wildlife
Geogr. Information Topic:Biota
File Details
Data Type:Data Paper - Scientific Publication
File Size:5.1 MB
Dates:Submitted: 05.03.2021 (Submission to Ecological Indicators Journal)
Other: 06.12.2021 (Revised)
Accepted: 06.12.2021
Available: 28.12.2021 (Available online)
Issued: 01.02.2022
Mime Type:application/pdf
Data Format:PDF
Download Permission:Free
Download Information:Paper was published open access with Ecological Indicators journal and can be downloaded from: https://www.sciencedirect.com/science/article/pii/S1470160X21011316
General Access and Use Conditions:According to the TRR228DB data policy agreement.
Access Limitations:According to the TRR228DB data policy agreement.
Licence:[Creative Commons] Attribution-NonCommercial-NoDerivs 4.0 Unported (CC BY-NC-ND 4.0)
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Ecological Indicators
Number of Pages:1 (32767 - 32767)
Metadata Details
Metadata Creator:Liana Kindermann
Metadata Created:17.01.2022
Metadata Last Updated:17.01.2022
Funding Phase:1
Metadata Language:English
Metadata Version:V50
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