Incorporating fire-smartness into agricultural policies reduces suppression costs and ecosystem services damages from wildfires

Lecina‐Diaz, Judit; Amil, María Luisa Chas; Aquilué, Núria; Sil, Ângelo; Brotons, Lluı́s; Regos, Adrián; Touza, Julia

doi:10.1016/j.jenvman.2023.117707

Cited by 22 publications

(4 citation statements)

References 71 publications

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“…As confirmed by previous studies, negative or questioning perceptions exist among farmers, especially regarding the increasing costs, decreasing income, and reduced profitability associated with farm-to-fork initiatives (Riccaboni et al, 2021;Cortignani et al, 2022;Adina et al, 2023). This topic was associated with the terms "EU," "European Green Deal," "food," "agriculture," "strategy," "policy," "Common Agricultural Policy," "biodiversity," and "pesticide" (Borrelli et al, 2023;Lecina-Diaz et al, 2023;Rudnicki et al, 2023). From the results, it was evident that the "Farm to Fork" topic was also discussed at the regional level, as shown by its inclusion as a key term within the 12th topic, the Dutch perspective.…”

Section: Figurementioning

confidence: 99%

Analysis of green deal communication on twitter: environmental and political perspective

Balcarova,

Pilarova,

Prokop

et al. 2024

Front. Environ. Sci.

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The Green Deal and its implementation are generating discussions across society. Changes brought about by the agreement could impact sustainable development worldwide; therefore, identifying the most common Green Deal-related topics on a global scale can offer insight into the public mood around implementation of the agreement. Social networks provide the opportunity to find such topics because they contain a large amount of data produced by users worldwide: analysis of their content can therefore provide insight into the discourse on the Green Deal and identify the sentiment in discussions around this topic. In this article, we present perceptions of the Green Deal and identify the main Green Deal-related topics based on analysis of communication on the Twitter social network (currently X social network). Using the search terms “green deal,” “greendeal,” and “#greendeal,” 192,567 tweets from 89,328 unique users were captured between 1 January 2019 and 31 March 2023. We identified the 40 most used unique hashtags that people used when communicating about the Green Deal, which included “#EU,” “#eugreendeal,” and “#climatechange,” and the 16 most relevant topics discussed in relation to the Green Deal, which included both European (“European Green Deal”) and North American (“Green New Deal”) perspectives. Each topic was associated with a certain amount of negative, positive, or neutral sentiment: the most positive sentiment was associated with the “Industrial plan” and “Hydrogen” topics, and the most negative sentiment was associated with topics relating to “Joe Biden” and “Alexandria Ocasio-Cortez.” Overall, our analysis of the discourse regarding the Green Deal offers organizations and decision-makers insight into how people perceive different aspects of the Green Deal and related topics. This may be beneficial in tackling disinformation across social networks and increasing public awareness, which could create a society better equipped to face the global concern of climate change.

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Section: Figurementioning

confidence: 99%

Analysis of green deal communication on twitter: environmental and political perspective

Balcarova,

Pilarova,

Prokop

et al. 2024

Front. Environ. Sci.

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“…3). Payments for ecosystem services should therefore reward farmers and landowners for their role in wildfire prevention (Lecina-Diaz et al 2023b). In this sense, the European Green Deal offers an excellent opportunity to incorporate 'firesmartness' into renewed EU agricultural policies that would contribute to climate change and wildfire mitigation in the upcoming decades (Regos 2022).…”

Section: Insights From the Firesmart Project: A Synthesismentioning

confidence: 99%

Nature-based solutions to wildfires in rural landscapes of Southern Europe: let’s be fire-smart!

Regos

Pais

Campos

et al. 2023

Int. J. Wildland Fire

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Extreme wildfires are expected to increase in Southern Europe, due to climate change and rural abandonment. Fire management is focused on suppression, which accelerates the transition to more flammable landscapes. Here, we synthesise the knowledge acquired over the 'FirESmart' project (https://firesmartproject.wordpress.com). Our findings show how agroforestry policies could benefit biodiversity while providing further fire suppression opportunities. The EU Green Deal offers an opportunity to incorporate 'fire-smartness' into upcoming agroforestry policies. Still, if these policies fail at reversing rural abandonment, the use of fire could enhance rewilding and tree-planting as 'climate-smart' strategies in the fire-prone mountains of Southern Europe.

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“…Therefore, it is imperative to focus on enhancing our ability to mitigate wildfires, reduce their severity, and minimize their impacts. In Spain, large investments in firefighting resources conducted to achieve a high wildfire suppression success proved not to be useful for fire impact mitigation under current climate change scenarios [8,9]. High fire exclusion rates, added to scarce forest management and traditional practices due to rural abandonment, result in fuel accumulation, leading to more intense fire behavior in many ecosystems [10].…”

Section: Introductionmentioning

confidence: 99%

Fire Vulnerability, Resilience, and Recovery Rates of Mediterranean Pine Forests Using a 33-Year Time Series of Satellite Imagery

Peña-Molina,

Moya,

Marino

et al. 2024

Remote Sensing

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The modification of fire regimes and their impact on vegetation recovery, soil properties, and fuel structure are current key research areas that attempt to identify the thresholds of vegetation’s susceptibility to wildfires. This study aimed to evaluate the vulnerability of Mediterranean pine forests (Pinus halepensis Mill. and Pinus pinaster Aiton) to wildfires, analyzing two major forest fires that occurred in Yeste (Spain) in 1994 and 2017, affecting over 14,000 and 3200 hectares, respectively. Four recovery regions were identified based on fire severity—calculated using the delta Normalized Burn Ratio (dNBR) index—and recurrence: areas with high severity in 2017 but not in 1994 (UB94-HS17), areas with high severity in 1994 but not in 2017 (HS94-UB17), areas with high severity in both fires (HS94-HS17), and areas unaffected by either fire (UB94-UB17). The analysis focused on examining the recovery patterns of three spectral indices—the Normalized Difference Vegetation Index (NDVI), Normalized Moisture Index (NDMI), and Normalized Burn Ratio (NBR)—using the Google Earth Engine platform from 1990 to 2023. Additionally, the Relative Recovery Indicator (RRI), the Ratio of Eighty Percent (R80P), and the Year-on-Year average (YrYr) metrics were computed to assess the spectral recovery rates by region. These three spectral indices showed similar dynamic responses to fire. However, the Mann–Kendall and unit root statistical tests revealed that the NDVI and NDMI exhibited distinct trends, particularly in areas with recurrence (HS94-HS17). The NDVI outperformed the NBR and NDMI in distinguishing variations among regions. These results suggest accelerated vegetation spectral regrowth in the short term. The Vegetation Recovery Capacity After Fire (VRAF) index showed values from low to moderate, while the Vulnerability to Fire (V2FIRE) index exhibited values from medium to high across all recovery regions. These findings enhance our understanding of how vegetation recovers from fire and how vulnerable it is to fire.

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Incorporating fire-smartness into agricultural policies reduces suppression costs and ecosystem services damages from wildfires

Cited by 22 publications

References 71 publications

Analysis of green deal communication on twitter: environmental and political perspective

Analysis of green deal communication on twitter: environmental and political perspective

Nature-based solutions to wildfires in rural landscapes of Southern Europe: let’s be fire-smart!

Fire Vulnerability, Resilience, and Recovery Rates of Mediterranean Pine Forests Using a 33-Year Time Series of Satellite Imagery

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