Universität zu Köln

Kindermann, Liana ORCID: 0000-0002-8126-2576, Dobler, Magnus ORCID: 0000-0002-9188-6876, Niedeggen, Daniela, Fabiano, Ezequiel Chimbioputo and Linstaedter, Anja (2022). Dataset on woody aboveground biomass, disturbance losses, and wood density from an African savanna ecosystem. Data Brief, 42. AMSTERDAM: ELSEVIER. ISSN 2352-3409

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Abstract

This dataset comprises tree inventories and damage assessments performed in Namibia's semi-arid Zambezi Region. Data were sampled in savannas and savanna woodlands along steep gradients of elephant population densities to capture the effects of those (and other) disturbances on individual-level and stand-level aboveground woody biomass (AGB). The dataset contains raw data on dendrometric measures and processed data on specific wood density (SWD), woody aboveground biomass, and biomass losses through disturbance impacts. Allometric proxies (height, canopy diameters, and in adult trees also stem circumferences) were recorded for n = 6,179 tree and shrub individuals. Wood samples were taken for each encountered species to measure specific wood density. These measurements have been used to estimate woody aboveground biomass via established allometric models, advanced through our improved methodologies and workflows that accounted for tree and shrub architecture shaped by disturbance impacts. To this end, we performed a detailed damage assessment on each woody individual in the field. In addition to estimations of standing biomass, our new method also delivered data on biomass losses to different disturbance agents (elephants, fire, and others) on the level of plant individuals and stands. The data presented here have been used within a study published with Ecological Indicators (Kindermann et al., 2022) to evaluate the benefits of our improved methodology in comparison to a standard reference method of aboveground biomass estimations. Additionally, it has been employed in a study on carbon storage and sequestration in vegetation and soils (Sandhage-Hofmann et al., 2021). The raw data of dendrometric measurements can be subjected to other available allometric models for biomass estimation. The processed data can be used to analyze disturbance impacts on woody aboveground biomass, or for regional carbon storage estimates. The data on species-specific wood density can be used for application to other dendrometric datasets to (re-)estimate biomass through allometric models requiring wood density. It can further be used for plant functional trait analyses. (C) 2022 The Authors. Published by Elsevier Inc.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Kindermann, Liana UNSPECIFIED orcid.org/0000-0002-8126-2576 UNSPECIFIED Dobler, Magnus UNSPECIFIED orcid.org/0000-0002-9188-6876 UNSPECIFIED Niedeggen, Daniela UNSPECIFIED UNSPECIFIED UNSPECIFIED Fabiano, Ezequiel Chimbioputo UNSPECIFIED UNSPECIFIED UNSPECIFIED Linstaedter, Anja UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-678037
DOI:	10.1016/j.dib.2022.108155
Journal or Publication Title:	Data Brief
Volume:	42
Date:	2022
Publisher:	ELSEVIER
Place of Publication:	AMSTERDAM
ISSN:	2352-3409
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ALLOMETRIC MODELS Multiple languages Multidisciplinary Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67803