Human-caused ignitions and plant invasion drive fire-regime change in a dryland biodiversity hotspot

Auteurs : K. C. Rodman, A. L. Mahood, A. J. Antoninka, M. A. Bowker, H. I. Rowe

bioRxiv preprint
DOI: 10.64898/2026.11.03.764038 - DOI (bioRxiv: Ecology)
Publié le 05 Nov. 2026
Licence : CC BY-NC-ND 4.0
Résumé scientifique

Dryland ecosystems cover much of Earths terrestrial surface and are increasingly affected by climate warming, land-use change, and biological invasion. The Sonoran Desert of western North America, a biodiversity hotspot that historically experienced infrequent fire, exemplifies how these global-change processes are driving ecosystem transformation through the emergence of novel disturbance regimes. Using records of more than 73,000 wildland fire events, we quantified anthropogenic and environmental controls on fire ignition, size, and spread across the Sonoran Desert. Human-caused ignitions accounted for 95.5% of all recorded fires since the early 1990s and were concentrated near roads, buildings, and other areas of human activity, particularly during late spring. In contrast, lightning-caused ignitions were rare within the Sonoran Desert and occurred primarily in adjacent montane forests during late summer months. Consistent with broader trends across the western United States, fires were typically largest when they ignited far from roads, where access is limited, and fire management often relies on indirect attack strategies. Pre-fire annual and perennial herbaceous vegetation both promoted fire spread, with detectable effects at cover values as low as 5%, while bare ground reduced fuel connectivity and constrained fire growth. Rather than exhibiting a distinct threshold response, fire spread increased linearly with herbaceous cover, suggesting that even modest increases in fine fuels can alter fire behavior in this historically fuel-limited ecosystem. Together, our results illustrate that human ignitions determine where fires occur, whereas herbaceous fuels determine whether those ignitions spread, driving fire-regime transformation across an iconic North American desert. Managing and adapting to this novel fire regime will require coordinated efforts to reduce human-caused ignitions, limit invasive herbaceous fuels, maintain bare-ground interspaces, and rapidly suppress fires. More broadly, our findings identify the mechanisms controlling fire regime change in dryland ecosystems and provide a framework for anticipating ecosystem transformation under ongoing global change.

Les articles autour de lui, par date et par proximité

Plus haut, c’est plus proche de cet article ; à gauche, c’est plus ancien. Les traits relient les articles proches entre eux : les groupes de traits sont des sous-thèmes. Sélectionnez un point pour voir pourquoi il est là. Retour au résumé de cet article

Les articles les plus proches Les travaux antérieurs sur lesquels il s’appuie Les articles qui le citent

Les articles autour de celui-ci

Classés selon la proximité de leur titre et de leur résumé avec ceux de cet article. Sélectionnez-en pour les lire ensemble.

Les articles les plus proches

  1. Apparenté Contexte plus large
    A mismatch in wildfire impact reduction and ecological restoration in western U.S. fuel treatments
    T. Metz, J. N. Hendershot, C. Song · 2026 · bioRxiv preprint · Résumé IA disponible

    L’étude évalue les effets écologiques des traitements de combustibles dans les forêts de l’Ouest, tandis que cet article analyse les causes et la propagation des feux dans le désert de Sonora.

    En bref

    Dans l’ouest américain, les traitements des combustibles améliorent temporairement la survie des arbres, surtout des espèces peu tolérantes au feu, sans réorienter nettement la régénération vers les espèces tolérantes.

  2. Apparenté Contexte plus large
    Typicality of the 2021 Western North America Summer Heatwave
    Valerio Lucarini, Vera Melinda Galfi, Gabriele Messori et al. · 2022 · Atmospheric and Oceanic Physics · cité 39 fois · Pas encore résumé

    L’étude caractérise la canicule de 2021 en Amérique du Nord par la théorie des grandes déviations, sans analyser les incendies ni les milieux désertiques.

    Résumé scientifique

    Elucidating the statistical properties of extreme meteo-climatic events and capturing the physical processes responsible for their occurrence are key steps for improving our understanding of climate variability and climate change and for better evaluating the associated hazards. It has recently become apparent that large deviation theory is very useful for investigating persistent extreme events, and specifically, for flexibly estimating long return periods and for introducing a notion of dynamical typicality. Using a methodological framework based on large deviation theory and taking advantage of long simulations by a state-of-the-art Earth System Model, we investigate the 2021 North Americ…

  3. Apparenté Autre approche du problème
    A Multi-Modal Wildfire Prediction and Personalized Early-Warning System Based on a Novel Machine Learning Framework
    Rohan Tan Bhowmik · 2022 · Machine Learning · preprint, non relu par les pairs · cité 2 fois · Résumé IA disponible

    Le système prédit les incendies californiens par apprentissage automatique et personnalise les alertes, tandis que cet article quantifie les facteurs d’ignition et de propagation au Sonora.

    Résumé scientifique

    Wildfires are increasingly impacting the environment, human health and safety. Among the top 20 California wildfires, those in 2020-2021 burned more acres than the last century combined. California's 2018 wildfire season caused damages of $148.5 billion. Among millions of impacted people, those living with disabilities (around 15% of the world population) are disproportionately impacted due to inadequate means of alerts. In this project, a multi-modal wildfire prediction and personalized early warning system has been developed based on an advanced machine learning architecture. Sensor data from the Environmental Protection Agency and historical wildfire data from 2012 to 2018 have been compi…

  4. Apparenté Contexte plus large
    Reconfiguration of Amazon's Connectivity in the Climate System
    Adam Giammarese, Jacob Brown, Nishant Malik · 2023 · Atmospheric and Oceanic Physics · cité 4 fois · Pas encore résumé

    L’étude suit les liens climatiques de l’Amazonie à l’aide de réseaux climatiques, alors que cet article étudie le changement du régime des feux dans le désert de Sonora.

    Résumé scientifique

    With the recent increase in deforestation, forest fires, and regional temperatures, the concerns around the rapid and complete collapse of the Amazon rainforest ecosystem have heightened. The thresholds of deforestation and the temperature increase required for such a catastrophic event are still uncertain. However, our analysis presented here shows that signatures of changing Amazon are already apparent in historical climate data sets. Here, we extend the methods of climate network analysis and apply them to study the temporal evolution of the connectivity between the Amazon rainforest and the global climate system. We observe that the Amazon rainforest is losing short-range connectivity an…

  5. Apparenté Contexte plus large
    Variations in climate habitability parameters and their effect on Earth's biosphere during the Phanerozoic Eon
    Iva Vilović, Dirk Schulze-Makuch, René Heller · 2023 · Sci Rep 13, 12663 (2023) · cité 2 fois · Résumé IA disponible

    L’étude corrèle des paramètres environnementaux et biologiques du Phanérozoïque, tandis que cet article examine l’influence des combustibles végétaux sur la propagation des feux au Sonora.

    Résumé scientifique

    Essential insights on the characterization and quality of a detectable biosphere are gained by analyzing the effects of its environmental parameters. We compiled environmental and biological properties of the Phanerozoic Eon from various published data sets and conducted a correlation analysis to assess variations in parameters relevant to the habitability of Earth's biosphere. We showed that environmental parameters such as oxygen, global average surface temperatures, runoff rates and carbon dioxide are interrelated and play a key role in the changes of biomass and biodiversity. We showed that there were several periods with a highly thriving biosphere, with one even surpassing present day …

  6. Apparenté Contexte plus large
    Changing spatial distribution of water flow charts major change in Mars' greenhouse effect
    Edwin S. Kite, Michael A. Mischna, Bowen Fan et al. · 2022 · Science Advances 8(21), (2022) · cité 26 fois · Pas encore résumé

    L’étude relie la distribution des anciens cours d’eau martiens au refroidissement climatique, sans porter sur les incendies ni les écosystèmes terrestres.

    Résumé scientifique

    Early Mars had rivers, but the cause of Mars' wet-to-dry transition remains unknown. Past climate on Mars can be probed using the spatial distribution of climate-sensitive landforms. We analyzed global databases of water-worked landforms and identified changes in the spatial distribution of rivers over time. These changes are simply explained by comparison to a simplified meltwater model driven by an ensemble of global climate model simulations, as the result of $\gtrsim$10 K global cooling, from global average surface temperature (T) $\ge$ 268 K to T $\sim$ 258 K, due to a weaker greenhouse effect. In other words, river-forming climates on Early Mars were warm and wet first, and cold and we…

  7. Apparenté Contexte plus large
    3D Global Climate Simulations of Synthetic Mars Warming
    Tom N. Landefeld, Harald Lesch · 2026 · Earth and Planetary Astrophysics · Résumé IA disponible

    L’étude simule un réchauffement artificiel de Mars par aérosols, tandis que cet article analyse les ignitions humaines et les combustibles végétaux dans un désert terrestre.

    Résumé scientifique

    Artificial warming via engineered aerosols presents a novel pathway to bypass volatile scarcity on modern Mars. Utilizing the Generic Planetary Climate Model, we evaluate the physical feasibility of aerosol-induced terraforming over a full Martian year (669 Sols). Unlike previous approaches that added aerosols to background dust or assumed continuous nanoparticle injection, we simulate the complete substitution of natural dust with a single-injection profile of radiatively active aluminium nanoparticles without continuous dumping. This tests whether initial infrared greenhouse forcing can overcome the severe ice-albedo cooling induced by a massive regional water-ice sheet ($3400 \text{ kg/m}…

  8. Apparenté Autre approche du problème
    Wildfire Autonomous Response and Prediction Using Cellular Automata (WARP-CA)
    Abdelrahman Ramadan · 2024 · Artificial Intelligence · preprint, non relu par les pairs · cité 1 fois · Pas encore résumé

    WARP-CA simule la propagation des incendies par automates cellulaires et agents autonomes, tandis que cet article mesure les effets des ignitions et des herbacées sur les feux observés.

    Résumé scientifique

    Wildfires pose a severe challenge to ecosystems and human settlements, exacerbated by climate change and environmental factors. Traditional wildfire modeling, while useful, often fails to adapt to the rapid dynamics of such events. This report introduces the (Wildfire Autonomous Response and Prediction Using Cellular Automata) WARP-CA model, a novel approach that integrates terrain generation using Perlin noise with the dynamism of Cellular Automata (CA) to simulate wildfire spread. We explore the potential of Multi-Agent Reinforcement Learning (MARL) to manage wildfires by simulating autonomous agents, such as UAVs and UGVs, within a collaborative framework. Our methodology combines world s…

Comment ces articles sont-ils trouvés ?

Nous comparons le titre et le résumé de cet article avec ceux de tous les articles résumés sur ce site, et avec les articles que Semantic Scholar recommande, ceux qu’il cite et ceux qui le citent (pour un article très cité, ses citations les plus récentes et, depuis OpenAlex, les plus citées). Parmi les travaux antérieurs et les suites, les articles qui s’utilisent en profondeur, une méthode qu’il utilise et les suites très citées remontent un peu. Les niveaux (très proche, proche, apparenté) viennent de la similarité des textes, pas d’un jugement de qualité ; * signale un article sans résumé, comparé par son titre. La phrase sous un article est écrite par une IA à partir des deux résumés : vérifiez-la dans les articles. Un article jugé hors sujet par trois lecteurs quitte la liste.

Mis à jour le 9 novembre 2026.