Smoke from climate-fueled wildfires contributed to thousands of US deaths over 15 years, study says
By: Dominic Prichard
News Article: https://apnews.com/article/wildfires-pollution-climate-change-deaths-9b8c7459e1f27b7688a137a9f4ef0929
Research Article: https://www.nature.com/articles/s43247-025-02314-0#Sec10
Background: Climate change and increased global temperatures have led to earlier snowmelt, escalating heat waves (1), and an increased vapor pressure deficit (2). These factors contribute to forests becoming dry earlier in the year and for longer periods of time. This has been shown to cause an increase in the amount of wildfires (3), the severity of those fires (3), and caused these fires to flare up quicker (4). These fires produce lots of small particles (PM2.5) that can travel wide distances and have contributed to a significant amount of deaths due to respiratory complications, although the health impact of wildfire PM2.5 from anthropogenic means has not been broadly classified in studies yet. For this reason the scientific paper has had to assume its health effects are the same as normal PM2.5 air pollution when in actuality this undersells the danger of wildfire PM2.5 as it can vary in concentrations produced/spread and travel much further distances.
Research Article: This peer-reviewed paper “Anthropogenic climate change contributes to wildfire particulate matter and related mortality in the United States” by Law et. al discusses how anthropogenic climate change has directly contributed to the significant increase of wildfires happening in the last two decades, the increased severity of these fires, and how the PM2.5 produced has affected human mortality/economic burden associated. Firstly, they used MODIS database of burned area (BA) and the Fire Weather Index (FWI) to determine fire intensity/spreadability from weather data of previous years that indicated the amount of biomass built up in forests. This biomass is what fuels the flames and thus can proportionally tell you how intense a fire should be. They then used complicated models, equations, and machine learning to calculate how this translates to data for both BA and PM2.5 production from wildfires. They designed it to make datasets for measuring real-world fire data and the counterfactual, a what if scenario for if anthropogenic climate change didn’t affect wildfires, to compare for mortality/economic data.
This study was done on the county/state level, the first study to do so, and used data from 2002-2024. They found 2020 had the highest BA and BA in forested areas increased by a staggering 62% during these two decades. These fires were predominantly in the West especially in states like California, Oregon, and Washington, where anthropogenic climate change accounted for up to 60% of the BA in these areas or more than doubling the BA for those fires. Overall climate change was estimated to account for 39% of the total BA in forested areas and 13.3% more in non-forested areas. The Western BA correlated with a high amount of average annual wildfire PM2.5 coming from this region with 25-60% of this amount attributed to climate change.
The average PM2.5 wildfire related deaths per year was between 3,500 and 28,000 with 2020 making up the largest amount by about double every other year between 2006 and 2020. This combines to a total of 164,000 deaths, 15,000 of which were caused from anthropogenic means or roughly 10%. This comes to about 5.14 deaths per year for every 100,000 Americans, which is about double the deaths per year of the average hurricane. The economic burden associated with annual mortalities was between 31 billion and 325 billion USD a year with 1.2 to 58 billion being associated with climate change. Once again the Western states had the largest rates of mortality and "climate change contributions to total annual wildfire PM2.5 mortality exceeded 50% in 12 western US counties in 2020". Finally, about 13,000 climate change responsible PM2.5 deaths occurred between 2006-2020 estimated at 144 billion USD and an additional 17,000 are expected to occur based on long-term mortality studies (5).
News Article: The news article "Smoke from climate-fueled wildfires contributed to thousands of US deaths over 15 years, study says" by Dorany Pineda begins with the end conclusion and statistics of climate change driven mortality and the cost of burden accurately, if even underplaying it in the title. They then make the critical connection to Western states having higher amounts of deaths from increased amounts of BA and PM2.5 creation. Then a quote from a doctor about increased PM2.5 events and a professor celebrating the paper's isolation of climate change on mortality, which she claims is one of the first to do so. She goes on to highlight the effects of PM2.5 in relation to wildfires for both short and long term health concerns and even states the people most at risk based on several other papers. Drawing from this it goes on to explain how wildfire PM2.5 is likely more dangerous than normal air pollution PM2.5 because of its mixing with burning cars and debris in these fires. Lastly for this section, she describes the effect global warming is having on the forests and extreme weather conditions that make them perfect environments for bigger fires such as the increased amount of dry biomass.
In the next section, she fairly accurately describes where the three sets of data came from; BA, PM2.5 levels, and mortality, and how each leads to the next. She highlights of total deaths, about 10% were climate change driven and once again mentions the increased mortality rates in the West with another statistic. It ends the article with a Stanford environmental policy professor's concerns with the study, although he does call it overall reasonable. He particularly has a problem with their conclusion being only to reduce carbon emissions and not short-term solutions like prescribed burns and fuel breaks. It ends with the acknowledgement of raising awareness being a critical function of the paper.
Analysis/Criticisms: Immediately some shortcomings I found with the scientific paper was the sheer amount of data they try to draw reference to at the same time and how it is confusingly worded or displayed. I had to reread many of the statistics five or more times as they are worded very similarly but can mean different things entirely. Particularly figure 3 is very confusing as the paper states 5ug/m³ is the acceptable level of PM2.5 by the WHO, but that is below even the highest part of the scale on the graph. This is because if you include city-made PM2.5, it reaches over this possibly in some of the brown regions.
For the news article it immediately links the scientific paper and it even links four other sources later in the article to build up claims that weren't mentioned or proven in the paper. One of the claims of these four sources is that PM2.5 from wildfires are more dangerous than city PM2.5 and although the paper doesn't directly prove this it does make multiple references to it likely being true and their numbers are on the low end because of it. Within the paper they mention their numbers are skewed by Canadian fires not accounted for, assuming PM2.5 to be the same as city PM2.5, and how they explicitly mention how their numbers are "conservative" for these reasons. I would have liked to see the news mention this along with more data in general.
Although the data they used is accurately portrayed, other than downplaying the results in the title, they don't use very much of it. They really just use the final bits of statistics about the total number of deaths, and the money it's associated with. Although I agree the focus is mainly on the mortality statistics and the BA aren't as important, I think at the very least they should have used the 2020 as the largest number for many statistics and gone more into depth on the difference between the west and averages as that was pretty central to the paper. They also use no images from the paper which is a detriment as quite a lot of them show this western phenomenon quite well. The author did a fantastic job of describing where the data came from in a digestible way outlining all the steps quite accurately while leaving out the unimportant aspects of those steps. It also ended with some ways the paper could have improved as stated earlier from a reputable source and it served as a really substantive discourse about short-term improvements to end out their article. Overall I would give it a 7/10 for its understanding of the underlying mechanics to get the data, substantive disagreement, actually linking the paper, and having accurate data throughout. It just needs a bit more data to show parts of the paper like the western front or fiscal detriment contribution better; a graphic would help immensely particularly 2 or 5; and maybe a better explanation of what the data implies for the future or why the results are significant.
References:
1 Kolden, C. A., Abatzoglou, J. T., Jones, M. W. & Jain, P. Wildfires in 2023. Nat. Rev. Earth Environ. 5, 238–240 (2024).
2 Grossiord, C. et al. Plant responses to rising vapor pressure deficit. N. Phytol. 226, 1550–1566 (2020).
3 Abatzoglou, J. T. & Williams, A. P. Impact of anthropogenic climate change on wildfire across western US forests. Proc. Natl. Acad. Sci. USA 113, 11770–11775 (2016).
4 Brown, P. T. et al. Climate warming increases extreme daily wildfire growth risk in California. Nature 621, 760–766 (2023).
5 Lepeule, J., Laden, F., Dockery, D. & Schwartz, J. Chronic exposure to fine particles and mortality: an extended follow-up of the Harvard Six Cities study from 1974 to 2009. Environ. Health Perspect. 120, 965–970 (2012).
Hi Dominic. This is a very interesting study that caught my eye. I really like how the peer-reviewed article is layed out, by stating how much anthropogenic climate change contributes to BA over different regions, and then gives the impact of these wildfires. The article does a nice job relaying the impacts like death and economic burdens. I really like how the authors followed this up by comparing the deaths and data they found to vaccine and cancer data. I agree with you that, in reading the study, there is a lack of organization in terms of data presented. I also thought the news article did a good job hitting ion main points, and definitely could have included the most drastic numbers like those form 2020 on wildfires, BA, and anthropogenic causes. I noticed that you highlight the part of the study that calls on the government to enact necessary policies. What specific types of policies do you think would help the most, and do you think it should be a state-by-state basis (since areas like California are more effected than others), or do you think it should be a nationwide push?
ReplyDeleteHello Cody, I definitely agree with you on the comparisons to vaccines and cancer rates were very helpful in understanding the scale and gravity of the situation. I also appreciate your point on the article omitting some key data from the paper such as the 2020 data. In terms of policies to enact I would first say there are two types of responses or policies that should be done in order to fix this problem. Long term, the main solution is to try and reduce carbon emissions as that is the root cause of this problem. Potentially funding more studies on say the difference between PM2.5 from wildfires and normal PM2.5 emissions could also better help us understand the health risks for the future. I think policy makers or some governmental agency could use this data and the comparison to cancer to really make people understand how serious this issue and raise awareness.
DeleteIn terms of short term much of what the interviewed Stanford professor said in the news article comes to mind and would likely be more state-level policy. Things like prescribed burnings so that the when there is a forest fire it won't be nearly as large as some of its fuel has been removed. They could also set out warnings or air quality control policies to try and force local emissions to decrease for certain times when necessary. These short term solutions would mainly only affect those Western states, so I would think they should be state level solutions, not to mention that would make it easier to actually get it done.
*John Hopkins professor Patrick Brown
DeleteHi Dominic, great analysis and criticisms of the news article! There were a lot of statistics presented in the research paper, which I'm sure made it difficult for the AP reporter to decide what to include, but I agree that including some figures would have been helpful. Figure 1, for example, is a nice summary of the research approach and would be useful for explaining to readers how climate change leads to increased mortality and economic costs, and Figure 5 captures both the temporal and spatial variability in the data. Additionally, I think that Law et al. had an insightful discussion as to why they calculated higher climate change-related PM2.5 mortality for 2020, with some important implications for public health overall, and it would have been nice to see this mentioned in the AP article. I thought it was interesting that the news article devoted a substantial amount of time to questions about the study's approach and/or criticisms of it, given that the research paper did successfully go through the peer-review process and make it into a Nature journal. I definitely think news articles should get opinions from scientists not affiliated with the paper, but I'm also curious about how this process works. Do you think including this section strengthened or weakened the news report?
ReplyDeleteHello Claire, I agree that the news article probably had a tough time determining what data was important due to the amount. I think figure 5 would be an excellent choice to emphasize that this is only a growing problem that it will get worse in time and it would really show the recency of increased BA and wildfire PM2.5. Figure 1 is a good choice for reader comprehension of where the data comes from as well. I agree with you completely on the article omitting the 2020 data was a huge flaw. It directly shows years with high BA can result in a significant jump in deaths and this is an important conclusion to highlight.
DeleteI think particularly the John Hopkins professor Patrick Brown's insights into short-term policies and solutions strengthened the article a lot as this is an important discussion coming from the paper. This is especially true considering the data points to certain states or counties being more susceptible to PM2.5 related deaths and thus should likely have different regulations in place than areas that aren't in big of an immediate threat. However, I think many of the other included sources didn't have any really substantial things to include. Specifically Nicholas Nassikas (professor of medicine) didn't add much. This showed that if the article included data about the cancer comparison or more statistics about mortality in the article, he could have possibly had more helpful insights for the readers.
Great job, Dominic, at summarizing a very dense article! I agree with your rating of the news article because it seemed to touch on some very important points, but instead of expanding on them, they interviewed professors from reputable universities. I think this was a very interesting tactic to bring credibility to this article. I believe they did this because there are a lot of deniers of climate change, so they are trying to get as many reputable people to cosign this article as possible.
ReplyDeleteI was very shocked to see that there are 5.14 deaths per year for every 100,000 Americans because of the PM 2.5 from wildfires. We have discussed this with a different blog post, but I am curious to know the criteria to attribute a death to climate change. How did they determine the cause of death?
Thanks Lanna, I definitely think it was an interesting take that instead of expanding on the data it instead accumulated other experts of various fields opinion on it. While I think some of it was helpful none of them really commented on specific data and rather commented on the trends. They definitely coud have acquired more substantive insights in my opinion in general (other than Patrick Brown). The ethos of having many sources may well have been an attempt to show the far reaching impacts of the study into multiple fields along or possibly what you described as well. It's hard for me to determine the reasoning behind the choice without knowing the general audience of the article or the author very well with any certainty. Yes this is a very high number and can be scary to think about especially with considering how bad the fires just this year were which are too new for the data to have had.
DeleteTo get the number of deaths they first used MODIS to attain burned area data from satellites and weather data. They then used atmospheric and fire emission models to determine how much PM2.5 would be created by the amount of BA previously determined and where it would spread. Then they used population data from the states/counties to estimate the people exposed to where this PM2.5 would go. Lastly, they used peer reviewed studies to quantify what amount of PM2.5 exposure would lead to mortality. All of this in combination and essentially subtracted from the counterfactual data, acquired from machine learning of what would of happened without anthropogenic climate change, gave mortality.
Hi Dominic, I loved the article and your analysis and the criticism of the findings. I found it super interesting how machine learning was used to process and contribute to the data. I found it interesting how this time the news article tried to be more like the academic writing. I think it’s counter intuitive for the news article to that as it can confuse readers and almost does a disservice to the people who did the study. I found it interesting that the study tied human lives and economic costs together. I do wonder how the models interpreted the data and attributed a lost life to wild fires. The death rate is staggering.
ReplyDeleteI also have never encountered machine learning in chemistry before so I can see how that would be interesting. To be clear, machine learning was only used to produce the counterfactual as we had real observable data for the anthropogenic caused climate change. They had to use machine learning to try and do calculations to simulate the data without climate change as it is a very complicated process and we wouldn't have any real data to use for it. I agree that it was definitely a disservice to have all these different experts comment on the paper rather than just getting an author from the paper. As far as I'm aware it is generally standard practice to equate mortalities to the amount of money the government would be willing to spend in order to reduce the risk of X amount of deaths. You'll see it in a lot of studies that would require policy changes to fix the problem. For the models MODIS essentially gave data from satellite observed BA and weather to determine the amount of PM2.5 produced. They then used different atmospheric and fire emission models to determine where that PM2.5 would go. In terms of what those models did I don't fully understand myself as they are extremely complex.
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