Evidence map›Paper›PMID 41191154›Full record

ArticleCarbon balance and management2025

Allometric equations for hyper-arid desert plant species of AlUla County, Saudi Arabia.

Steven McGregor, Abdul-Lateef Ismail, Robbert Duker, William Liversage, Shréyan Maharaj, Anthony J Mills, Ruan van Mazijk, Carly Butynski, Maurice Schutgens, Miren Schleicher and 6 more

Abstract read
In one paragraph

Article in Carbon balance and management, 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

16 authors.

Steven McGregorSpace for Giants, PO Box 174, Nanyuki, Kenya. steven.mcgregor@mandela.ac.za.
Abdul-Lateef IsmailSpace for Giants, PO Box 174, Nanyuki, Kenya.
Robbert DukerSpace for Giants, PO Box 174, Nanyuki, Kenya.
William LiversageSpace for Giants, PO Box 174, Nanyuki, Kenya.
Shréyan MaharajSpace for Giants, PO Box 174, Nanyuki, Kenya.
Anthony J MillsSpace for Giants, PO Box 174, Nanyuki, Kenya.
Ruan van MazijkSpace for Giants, PO Box 174, Nanyuki, Kenya.
Carly ButynskiSpace for Giants, PO Box 174, Nanyuki, Kenya.
Maurice SchutgensSpace for Giants, PO Box 174, Nanyuki, Kenya.
Miren SchleicherSpace for Giants, PO Box 174, Nanyuki, Kenya.
Max D GrahamSpace for Giants, PO Box 174, Nanyuki, Kenya.
Shauna K ReesWildlife and Natural Heritage, Royal Commission for AlUla, 43544, AlUla, Saudi Arabia.
Abdelsamad EldabaaWildlife and Natural Heritage, Royal Commission for AlUla, 43544, AlUla, Saudi Arabia.
Ahmed H MohamedWildlife and Natural Heritage, Royal Commission for AlUla, 43544, AlUla, Saudi Arabia.
Sami D AlmalkiWildlife and Natural Heritage, Royal Commission for AlUla, 43544, AlUla, Saudi Arabia.
Benjamin P Y-H LeeWildlife and Natural Heritage, Royal Commission for AlUla, 43544, AlUla, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimates of aboveground woody plant biomass in hyper-arid ecosystems have predominantly relied on allometric equations developed in more mesic habitats. However, these equations do not account for local variations in plant morphology, necessitating the development of equations for the hyper-arid context. Here, we present species- and growth-form-specific allometric equations for 11 woody plant species in AlUla County, Kingdom of Saudi Arabia (KSA), based on sample sizes ranging from 8 to 50 individuals per species.

resultsAcross five nature reserves in AlUla County, individuals of each selected plant species, spanning a range of size classes, were measured for height and crown area. For tree species with suitable structures (i.e. Moringa peregrina and Vachellia gerrardii), basal diameter was also recorded. All sampled plants were then destructively harvested to determine aboveground biomass. For all six shrub species, the best-fitting allometric equations included crown area and height as predictors of aboveground biomass, whereas all five tree species' equations included height (and other predictors, varying by species). The best-fitting general multi-species equations included crown area and height as predictors of aboveground biomass for both shrub and tree growth forms.

conclusionsThe 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.

Indexed as

Aboveground biomassAllometryDrylandsHyper-arid ecosystemsWoody biomass

Identifiers

PMID41191154
PMCPMC12590626

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.