Allometric equations for hyper-arid desert plant species of AlUla County, Saudi Arabia
The predictors in the best-fitting equations likely reflect the branched, lateral growth forms characteristic of plants in hyper-arid ecosystems, and are expected to improve the accuracy of biomass estimation compared with equations developed in mesic environments. These allometric equations provide a novel foundation for the quantitative monitoring of aboveground plant biomass and carbon stocks in the KSA and hyper-arid regions further afield.
Authors
- Siân E. Rees (ORCID: https://orcid.org/0000-0001-9606-783X)
- Max D. Graham
- Maurice Schutgens
- S. Maharaj (ORCID: https://orcid.org/0000-0003-1194-0383)
- Anthony Mills (ORCID: https://orcid.org/0000-0001-5676-2440)
- Abdul-Lateef Ismail
- Steven McGregor (ORCID: https://orcid.org/0000-0002-1061-567X)
- Benjamin P. Y.‐H. Lee (ORCID: https://orcid.org/0000-0002-9952-1011)
- Ruan van Mazijk (ORCID: https://orcid.org/0000-0003-2659-6909)
- Sami D. Almalki
- Ahmed Mohamed (ORCID: https://orcid.org/0000-0001-5070-8638)
- Robbert Duker
- Miren Schleicher
- Abdelsamad Eldabaa
- William Liversage
- Carly Butynski
Institutions
- University of the Witwatersrand (ZA)
- Stellenbosch University (ZA)
- City of Cape Town (ZA)
- Desert Research Center (EG)
- Mpala Research Center and Wildlife Foundation (KE)
- Royal Commission Medical Center (SA)
- Space Research Organisation Netherlands (NL)
- Nelson Mandela University (ZA)
Publication Details
- Journal
- Carbon Balance and Management
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1186/s13021-025-00334-z
- Citations
- 2
- Primary Topic
- Plant Water Relations and Carbon Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 2.21