Cited by 107Fire effects on ecosystemsCoal and Its By-productsToxic Organic Pollutants Impact

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Chemical characteristics of wildfire ash across the globe and their environmental and socio-economic implications

Open access

Abstract

The mobilisation of potentially harmful chemical constituents in wildfire ash can be a major consequence of wildfires, posing widespread societal risks. Knowledge of wildfire ash chemical composition is crucial to anticipate and mitigate these risks. Here we present a comprehensive dataset on the chemical characteristics of a wide range of wildfire ashes (42 types and a total of 148 samples) from wildfires across the globe and examine their potential societal and environmental implications. An extensive review of studies analysing chemical composition in ash was also performed to complement and compare our ash dataset. Most ashes in our dataset had an alkaline reaction (mean pH 8.8, ranging between 6 – 11.2). Important constituents of wildfire ash were organic carbon (mean: 204 g kg-1), calcium, aluminium, and iron (mean: 47.9, 17.9 and 17.1 g kg-1). Mean nitrogen and phosphorus ranged between 1 - 25 g kg-1, and between 0.2 to 9.9 g kg-1, respectively. The largest concentrations of metals of concern for human and ecosystem health were observed for manganese (mean: 1488 mg kg-1; three ecosystems > 1000 mg kg-1), zinc (mean: 181 mg kg-1; two ecosystems > 500 mg kg-1) and lead (mean: 66.9 mg kg-1; two ecosystems > 200 mg kg-1). Burn severity and sampling timing were key factors influencing ash chemical characteristics like pH, carbon and nitrogen concentrations. The highest readily dissolvable fractions (as a % of ash dry weight) in water were observed for sodium (18%) and magnesium (11.4%). Although concentrations of elements of concern were very close to, or exceeded international contamination standards in some ashes, the actual effect of ash will depend on factors like ash loads and the dilution into environmental matrices such as water, soil and sediment. Our approach can serve as an initial methodological standardisation of wildfire ash sampling and chemical analysis protocols.

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Overview

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TL;DR

This study compiles and analyzes chemical characteristics of 42 wildfire ash types (148 samples) from 29 sites across 8 countries and 11 ecosystems, comparing them with prior ash studies and international contamination guidelines. It finds highly variable, generally alkaline ash rich in organic carbon and calcium, with burn severity and rainfall/sampling timing as key controls, and some ashes approaching or exceeding contaminant thresholds.

Key findings

  • Ash was generally alkaline: mean pH 8.8 (range 6–11.2), mean EC 1,330 µS cm⁻¹ (32.5–13,700). Major constituents included organic carbon (mean 204 g kg⁻¹; range 37–450), Ca (47.9 g kg⁻¹; 1.3–215), Al (17.9 g kg⁻¹; 0.6–69.3), and Fe (17.1 g kg⁻¹; 0.6–77.2); mean N was 7.8 g kg⁻¹ (1–25) and mean P 2.5 g kg⁻¹ (0.2–9.9).
  • Metals of concern had mean concentrations of Mn 1,488 mg kg⁻¹ (34.5–15,350), Zn 181 mg kg⁻¹ (25.5–1,016), and Pb 66.9 mg kg⁻¹ (1–782). The highest readily dissolvable fractions in water were Na (18%) and Mg (11.4%), followed by Ca (4.6%) and P (1.7%); Mn, Al, and Fe dissolved least (0.02–0.3%).
  • Burn severity and rainfall/sampling timing influenced ash chemistry. High vs low severity ash had higher pH (8.9 vs 8.6), Ca (53.6 vs 37.5 g kg⁻¹), Al (22.3 vs 9.9 g kg⁻¹), and Fe (20.1 vs 11.7 g kg⁻¹), but lower OC (119 vs 362 g kg⁻¹) and N (6.2 vs 10.7 g kg⁻¹). Cluster analysis separated most pre-rainfall ashes from post-rainfall ashes, with post-rainfall ashes showing lower pH/EC and lower soluble base cations, and higher relative Al and Fe.
  • Some ashes approached or exceeded guidelines: NETHER peatland Pb (782 mg kg⁻¹) exceeded all cited international guidelines for fertilising products, soils, and sediments; Ni in SPAMA (54.0), MUSA-H (64.0), and UKSWANP (61.3 mg kg⁻¹) was slightly above EU organic fertiliser (50) and Australian sediment (52) levels; NETHER Zn (1,016 mg kg⁻¹) exceeded guidelines except EU inorganic fertiliser (1,500 mg kg⁻¹); NETHER Cu (99 mg kg⁻¹) was close to the Canadian sediment maximum (110 mg kg⁻¹). The paper states average P and Mn slightly exceeded Canadian threshold levels for contaminated sediments.

Methods

  • Dataset: 42 ash types from 148 samples collected at 29 sites in 8 countries (Australia, Austria, Canada, South Africa, Spain, The Netherlands, United Kingdom, USA), spanning 11 ecosystems. Sampling used transects or composite sampling; 15 ash types were collected within 7 days and 27 between 1 week and 3 months after burning; 20 of 42 ash types received rain before sampling.
  • Chemical analyses: pH and EC in water (1:20 ash-to-water); total C and N by Leco TruSpec CHN; major nutrients, metals, and metalloids by microwave-assisted acid digestion (EPA 3051A) and ICP-OES; carbonates by calcimeter; water-extractable elements by leaching test (1:20, 5 min shake, 0.45 µm filtration); selected samples by XRD and FE-SEM. An extensive review of 16 previous ash-composition studies complemented the dataset.
  • Statistics: median per ash type, then mean of medians; Spearman correlations; coefficient of variation; hierarchical clustering (Ward’s method) followed by k-means (n = 3); logistic regression with cross-validation; linear mixed models controlling for rainfall and ecosystem; ANOVA with Tukey post-hoc tests. Cluster 3 was excluded from some analyses due to extreme values.

Limitations

  • The paper states no standard procedure exists for sampling wildfire ash; the methods used are a first approach to standardisation, and an interlaboratory comparison is recommended. It also notes dissolved-fraction estimates are conservative because of the high water:sample ratio (1:20) and short shaking time (5 min), with actual effects depending on dilution into environmental matrices.
  • The paper states it did not examine other potentially hazardous ash constituents such as PAHs, cyanide, chloride, sulphate, and environmentally persistent free radicals; lithology and geogenic concentrations were not considered; and ash loads, fire-affected area, fuel type/structure/loads, and post-fire climatic/hydrological controls need further research.
  • Evident from the text: sampling before vs after rainfall is confounded with ash age/time-since-fire; cluster 3 ashes (NETHER, AUSTRIA, UKSWANP) were excluded from some analyses due to extreme values; and comparisons of burn severity across ecosystems should be made cautiously because fire behaviour and combustion dynamics differ.

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Integrity signals

Registry

Crossref · 10.1016/j.envint.2023.108065

Cites

90 of 91 references verified0 citation errors · 0 not checkable

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Verification

Claims the paper makes

62 Own result · 32 Not checked yet · 21 Own interpretation · 11 No basis given · 6 Own method

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  • It may state two separate claims as one. 41
  • Probably not a substantial claim. 14
  • The quote only partly states this claim. 7
57 of 57
  • The paper relies on this without support.

    A large fraction of the chemical components mobilised during a fire are associated with the ash.

    “Although most research and public attention regarding contaminants and fire are focused on the mobilization of elements through smoke (Burke et al., 2021;Cascio, 2018;Chen et al., 2021;Xu et al., 2020), a large fraction of the chemical components mobilised during a fire are associated with the ash.”
  • The paper relies on this without support.

    The 42 ash types and 148 samples are representative of wildfire ash across the globe.

    “Here we present a comprehensive dataset on the chemical characteristics of a wide range of wildfire ashes (42 types and a total of 148 samples) from wildfires across the globe and examine their potential societal and environmental implications.”
  • The paper relies on this without support.

    International contamination standards are appropriate benchmarks for assessing potential effects of ash.

    “Although concentrations of elements of concern were very close to, or exceeded international contamination standards in some ashes, the actual effect of ash will depend on factors like ash loads and the dilution into environmental matrices such as water, soil and sediment.”
  • The paper relies on this without support.

    No standard procedure currently exists for sampling wildfire ash.

    “It is important to highlight that no standard procedure currently exists for sampling wildfire ash.”
  • The paper relies on this without support.

    No single standard procedure currently exists for the analysis of readily dissolvable elements in ash.

    “Given that no single standard procedure currently exists for the analysis of readily dissolvable elements in ash”
  • The paper relies on this without support.

    There are no existing guidelines for potentially hazardous ash.

    “Since there are no existing guidelines for potentially hazardous ash”
6 of 6

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Metadata

Authors
Sánchez-García, C., Santín, C., Neris, J., Sigmund, G., Otero, X. L., Manley, J., González-Rodríguez, G., Belcher, C. M., Cerdà, A., Marcotte, A. L., Murphy, S. F., Rhoades, C. C., Sheridan, G., Strydom, T., Robichaud, P. R., & Doerr, S. H.
Affiliations
  • Swansea University (GB)
  • Consejo Superior de Investigaciones Científicas (ES)
  • Universidad de La Laguna (ES)
  • University of Vienna (AT)
  • Universidade de Santiago de Compostela (ES)
  • University of Exeter (GB)
  • Universitat de València (ES)
  • Wageningen University & Research (NL)
  • United States Geological Survey (US)
  • US Forest Service (US)
  • The University of Melbourne (AU)
  • South African National Parks (ZA)
Venue
Environment International
Publisher
Elsevier BV
Published
2023-08
Volume
178
Pages
108065
ISSN
0160-4120 (ISSN-L)
OpenAlex
W4381948677
Cited by
107
References
90
Citations by year
2026: 37 · 2025: 43 · 2024: 27
FWCI
11.99
Type
journal article
Language
en
Open access
Locations
  • Environment International (publishedVersion, cc-by-nc-nd)
  • SSRN Electronic Journal (publishedVersion)
  • PubMed (publishedVersion)
  • Socio-Environmental Systems Modeling (submittedVersion, cc-by)
  • Repository of Digital Objects for Teaching Research and Culture (University of Valencia) (submittedVersion, cc-by-nc)
  • Cronfa (Swansea University) (submittedVersion, cc-by)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Hispana (submittedVersion, cc-by)
Funders
  • Horizon 2020 Framework Programme (101003890, 860787)
  • Natural Environment Research Council (NE/R011125/1, NE/T003553/1)
  • Leverhulme Trust (RPG-2014-095)
  • European Commission
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
  • Physical Sciences › Earth and Planetary Sciences › Geochemistry and Petrology › Coal and Its By-products
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
Keywords
wildfire ash, ash composition, heavy metals, manganese, zinc, lead, burn severity, organic carbon, nitrogen and phosphorus, water-soluble fraction, environmental contamination
MeSH terms
Wildfires, Carbon, Humans, Magnesium, Nitrogen, Socioeconomic Factors, Water, Ecosystem

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