David Lefebvre, Matthieu Heitz, Jack Edgar, Xiaotao Bi, Jeroen Meersmans, Jean-Thomas Cornelis
{"title":"Maximizing Biochar Climate Change Mitigation Impact Through Optimized Logistics","authors":"David Lefebvre, Matthieu Heitz, Jack Edgar, Xiaotao Bi, Jeroen Meersmans, Jean-Thomas Cornelis","doi":"10.1111/gcbb.70083","DOIUrl":"https://doi.org/10.1111/gcbb.70083","url":null,"abstract":"<p>Carbon dioxide removal (CDR) practices are essential to mitigating the adverse impacts of climate change. Some CDR practices depend on the availability and accessibility of feedstocks. The climate change mitigation potential of these practices relies on the difference between their location-specific efficiency and the greenhouse gas (GHG) emissions associated with establishing them. Focusing on biochar from forestry harvest residues in British Columbia (Canada), this manuscript demonstrates that optimizing the selection of biochar application areas and transportation routes can double the climate change mitigation potential of the practice across the province, as compared to random selection. We argue that spatially explicit ex-ante modeling of CDR potential and transportation optimization should become the norm for any new relevant CDR project to ensure the maximization of its climate change mitigation potential.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhenyu Fan, Ting Wu, Aoxiang Chang, Cui Li, Mei Zheng, Yu Sun, Jinku Song, Chunqiang Xing, Na Wu, Aiying Yang, Xiuyun Wan, Chunyu Sun, Jinliang Chen, Qiang Guo, Chunqiao Zhao, Xifeng Fan
{"title":"Cropland-To-Miscanthus Conversion Increases Sulfur Availability and Shifts Microbial Pattern Enhancing Sulfur Cycle in Northern China","authors":"Zhenyu Fan, Ting Wu, Aoxiang Chang, Cui Li, Mei Zheng, Yu Sun, Jinku Song, Chunqiang Xing, Na Wu, Aiying Yang, Xiuyun Wan, Chunyu Sun, Jinliang Chen, Qiang Guo, Chunqiao Zhao, Xifeng Fan","doi":"10.1111/gcbb.70084","DOIUrl":"https://doi.org/10.1111/gcbb.70084","url":null,"abstract":"<p><i>Miscanthus</i> spp. are increasingly cultivated in agricultural fields worldwide due to their potential for bioenergy production and the various ecological benefits they offer. However, the long-term impacts of cropland conversion to harvested <i>Miscanthus</i> without sulfur fertilizer on soil microorganisms and the sulfur cycle remain poorly understood. This study aimed to investigate the effects of <i>Miscanthus</i> transformation on soil microorganisms and the sulfur cycle over a 15-year period. We evaluated the influence of long-term <i>Miscanthus</i> planting on the diversity, relative abundance, functions, and correlations of soil sulfur-cycling microbial communities, as well as how changes in soil properties affect the sulfur conversion process. The results indicated that <i>Miscanthus</i> planting significantly increased the concentrations of soil sulfate (SO<sub>4</sub><sup>2−</sup>, 47.39%, <i>p <</i> 0.05), total sulfur (TS, 13.26%, <i>p <</i> 0.05), and available sulfur (AS, 156.37%, <i>p <</i> 0.05), while decreasing soil pH (8.83%). Sulfur exhibited a positive correlation with the abundance of Acidobacteria, Proteobacteria, unclassified_d_unclassified, and Actinobacteria, while total nitrogen (TN) content was positively correlated with sulfur metabolism. The activity of oxidoreductase in <i>Miscanthus</i> was significantly higher (<i>p</i> < 0.05) than in other land use types, facilitating the conversion of organic sulfur into plant-available inorganic sulfur (SO<sub>4</sub><sup>2−</sup>). Analysis of the microbial community based on 16S rRNA gene sequences revealed that the diversity and richness of the microbial community in <i>Miscanthus</i> planting areas were greater, and the microbial community structure was significantly different from that of bare soil and cultivated land. Actinobacteria and Proteobacteria were identified as the dominant microbial taxa. Redundancy analysis indicated that TN was the primary factor influencing the microbial community. These findings provide theoretical support and practical guidance for farmers to promote large-scale cultivation of <i>Miscanthus</i> on marginal croplands in Northern China.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. B. Kantola, E. Blanc-Betes, A. von Haden, M. D. Masters, B. Blakely, C. J. Bernacchi, E. H. DeLucia
{"title":"A 13-Year Record Indicates Differences in the Duration and Depth of Soil Carbon Accrual Among Potential Bioenergy Crops","authors":"I. B. Kantola, E. Blanc-Betes, A. von Haden, M. D. Masters, B. Blakely, C. J. Bernacchi, E. H. DeLucia","doi":"10.1111/gcbb.70080","DOIUrl":"https://doi.org/10.1111/gcbb.70080","url":null,"abstract":"<p>Six years after replacing a maize/soybean cropping system, perennial grasses miscanthus (<i>Miscanthus</i> × <i>giganteus</i>) and switchgrass (<i>Panicum virgatum</i>), and a 28-species restored prairie increased particulate organic carbon in surface soils without increasing soil organic carbon (SOC). To resolve potential changes in the quantity and distribution of SOC, soils were resampled after seven to thirteen years to measure bulk density, carbon (C) content, and stable C isotopes to a depth of 1 m. SOC stocks increased between 1.75 and 2.5 Mg ha<sup>−1</sup> year<sup>−1</sup> in all perennial crops between 2008 and 2016 (nine growing seasons). Despite relatively low litter inputs and belowground biomass, the highest rate of SOC accrual was in restored prairie (2.5 Mg ha<sup>−1</sup> year<sup>−1</sup>), followed by miscanthus (2.0 Mg ha<sup>−1</sup> year<sup>−1</sup>) and switchgrass (1.75 Mg ha<sup>−1</sup> year<sup>−1</sup>). The change in SOC in maize/soybean was not significant. After 2016, total SOC decreased in maize/soybean and miscanthus, resulting in slower overall rates of SOC accumulation over the full sampling period for miscanthus (0.8 Mg ha<sup>−1</sup> year<sup>−1</sup>). The rate of SOC accumulation was greatest below 50 cm depth for restored prairie and switchgrass but in the top 10 cm for miscanthus. Stable isotope analysis showed <sup>13</sup>C enrichment in all depths of switchgrass soils, an indication of new organic C accumulation, but mixed results in all other crops. Planting perennial crops on land formerly in an annual maize/soybean cropping system can slow or reverse soil carbon losses, with the greatest increases in SOC from species-rich prairie.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70080","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianwei Li, Lahiru Gamage, Siyang Jian, Xuehan Wang, Jonathan Alford, Matthew Manu, Aviyan Pandey, Jason de Koff, Dafeng Hui, Philip A. Fay
{"title":"Experimental Warming Effects on Soil Respiration, Microbial Abundance, and Extracellular Enzyme Activities in a Switchgrass Cropland in Middle Tennessee","authors":"Jianwei Li, Lahiru Gamage, Siyang Jian, Xuehan Wang, Jonathan Alford, Matthew Manu, Aviyan Pandey, Jason de Koff, Dafeng Hui, Philip A. Fay","doi":"10.1111/gcbb.70066","DOIUrl":"https://doi.org/10.1111/gcbb.70066","url":null,"abstract":"<p>Global warming is projected to accelerate soil carbon (C) loss to the atmosphere. However, soil CO<sub>2</sub> emissions under warming and the underlying microbial processes are not adequately studied in bioenergy croplands. To address this issue, a soil warming experiment was established in a switchgrass cropland at Tennessee State University in May 2021. Four paired plots with infrared and dummy heaters (i.e., warming vs. control plots) were randomly installed in four blocks. Collections of hourly soil heterotrophic respiration (<i>R</i><sub>s</sub>), temperature, and moisture at surface soil (0–10 cm), as well as biweekly soil organic carbon (SOC), total nitrogen (TN), microbial biomass carbon, and nitrogen (MBC and MBN), and extracellular enzyme activities (EEAs) were conducted consecutively for 2 years. Warming elevated soil temperature by 2.2°C, reduced volumetric water content by 17.5%, and significantly increased hourly <i>R</i><sub>s</sub> but had no significant effects on the contents of SOC, TN, MBC, MBN, and soil EEAs. Despite the insensitive responses of soil microbial, enzymatic, and bulk features, the elevated <i>R</i><sub>s</sub> was closely associated with warming-caused changes in soil temperature and moisture. Overall, the elevated <i>R</i><sub>s</sub> in response to 2-year experimental warming informed a likely positive response of switchgrass soil CO<sub>2</sub> emission to a warmer future and a shift toward increased autotrophic respiration. The current study implied the importance of long-term experimental observations to accurately predict soil respiratory responses in switchgrass croplands.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chunhwa Jang, Nictor Namoi, Jung Woo Lee, Talon Becker, William Rooney, DoKyoung Lee
{"title":"Identifying the Best High-Biomass Sorghum Hybrids Based on Biomass Yield Potential and Feedstock Quality Affected by Nitrogen Fertility Management Under Various Environments","authors":"Chunhwa Jang, Nictor Namoi, Jung Woo Lee, Talon Becker, William Rooney, DoKyoung Lee","doi":"10.1111/gcbb.70082","DOIUrl":"https://doi.org/10.1111/gcbb.70082","url":null,"abstract":"<p>The growing interest in high-biomass sorghum (<i>Sorghum bicolor</i> L. Moench), hereafter referred to as sorghum, as a bioenergy feedstock in the United States requires an understanding of geographical adaptation to identify the most suitable hybrids for the Midwest. In this study, 13 sorghum hybrids (H1–H13) were evaluated for biomass yield potential in central and southern IL over two growing seasons (2022 and 2023). In addition to biomass yield, the effects of nitrogen (N) fertilization on yield, nutrient removal (N, P, and K), and feedstock composition (cellulose, hemicellulose, lignin, and soluble fractions) were determined to identify the best-performing sorghum hybrid across environmental gradients. The experimental design was a split-plot arrangement within a randomized complete block design with four replications at each of two locations: N rates (0 and 112 kg-N ha<sup>−1</sup>) as a whole plot factor and 13 sorghum hybrids as a subplot factor. As a result, complex genotypes (13 hybrids) by environment (2 sites and 2 years) and management (2 N rates) interactions were observed in biomass yield. The best hybrids at both sites were H1 (ATx2932/F10702_PSL) and H13 (TX08001), which were very photoperiod sensitive (PS). These hybrids produced superior biomass yield, and they also exhibited less nutrient removal and high energy-rich feedstock compositions (cellulose, hemicellulose, and lignin). Biomass yield potential was associated with morphological and phenological traits according to environmental conditions. Low-yielding hybrids were short-stature (H5 and H6) with pollinators (F10801_PSL-3dw and F10805_PSL-3dw) that are recessive at the <i>Dw3</i> locus. Moderate PS hybrids (H7, H8, H11, and H12) that produced grain panicles at harvest showed high biomass yield plasticity and excessive nutrient removal as they accumulated high K concentrations in biomass tissues and high N and P in grain panicles.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145051198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Annette Cowie, Kati Koponen, Anthony Benoist, Göran Berndes, Miguel Brandão, Leif Gustavsson, Patrick Lamers, Eric Marland, Sebastian Rüter, Sampo Soimakallio, David Styles
{"title":"Quantifying Climate Change Effects of Bioenergy and BECCS: Critical Considerations and Guidance on Methodology","authors":"Annette Cowie, Kati Koponen, Anthony Benoist, Göran Berndes, Miguel Brandão, Leif Gustavsson, Patrick Lamers, Eric Marland, Sebastian Rüter, Sampo Soimakallio, David Styles","doi":"10.1111/gcbb.70070","DOIUrl":"https://doi.org/10.1111/gcbb.70070","url":null,"abstract":"<p>Bioenergy is a critical element in many national and international climate change mitigation efforts, including as a carbon dioxide removal strategy combined with the capture and durable geological storage of flue gas emissions (BECCS). However, divergent results on the effectiveness of bioenergy as a climate change mitigation measure are reported in the scientific literature. Climate impacts of bioenergy depend on case-specific factors, primarily biophysical features of the biomass production system, and the design and efficiency of conversion and capture processes. Estimates of climate impacts are also strongly affected by methodological choices and assumptions, and much of the divergence between studies derives from differences in the assumed alternate use of the land or feedstock, the alternate energy source and the system boundaries applied. We present a methodology to support robust estimates of the climate change effects of bioenergy systems, updating the standard methodology developed by the International Energy Agency's Technology Collaboration Program on Bioenergy. We provide guidance on the key choices including the reference land use and energy system that bioenergy is assumed to displace, spatial and temporal system boundaries, co-product handling, climate forcers considered, metrics applied and time horizon of impact assessment. Researchers should consider the whole bioenergy system including all life cycle stages, and choose system boundaries, reference systems and treatment of co-products that are consistent with the intended application of the results. The assessment should be normalised to a functional unit that can be compared with other systems delivering an equivalent quantity of the same function. All significant climate forcers should be included, and climate effects should be quantified using appropriate impact assessment methods that distinguish the impact of time. Consistency in methodology and interpretation will facilitate comparison between studies of different bioenergy systems.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70070","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dominika Janiszewska-Latterini, Joana Ortigueira, Tiago F. Lopes, Julia Gościańska-Łowińska, Dobrochna Augustyniak-Wysocka, Ewa Leszczyszyn, Catarina Nobre
{"title":"Social Awareness as a Catalyst for Biochar Adoption in the Agricultural and Forestry Sectors","authors":"Dominika Janiszewska-Latterini, Joana Ortigueira, Tiago F. Lopes, Julia Gościańska-Łowińska, Dobrochna Augustyniak-Wysocka, Ewa Leszczyszyn, Catarina Nobre","doi":"10.1111/gcbb.70077","DOIUrl":"https://doi.org/10.1111/gcbb.70077","url":null,"abstract":"<p>Biochar, a carbon-rich material produced from the pyrolysis of organic matter, has garnered attention for its potential agricultural and environmental benefits, including soil improvement, enhanced crop yields and climate change mitigation. Despite its promise, biochar adoption has been hindered by limited social awareness, particularly in industrialised countries. This review explores the factors influencing biochar's acceptance in agriculture and forestry, focusing on the social aspects that affect its integration. A systematic literature review was conducted to identify studies on social awareness and acceptance, revealing significant barriers such as a lack of knowledge among farmers, high production costs and insufficient infrastructure. In industrialised countries, while technical research on biochar has progressed, farmers often remain unfamiliar with its benefits, and resistance to adoption is common. Studies show that social factors such as age, education level and access to funding play a crucial role in biochar adoption. Furthermore, a lack of government incentives and unclear regulatory frameworks exacerbate the challenge. Conversely, studies from lower-income countries suggest that small-scale, cost-effective biochar production systems may hold promise. The review also identifies strategies to enhance biochar's social acceptance, including targeted education programs, financial incentives and clearer regulatory standards. Despite varying levels of social awareness, the literature suggests that with increased outreach, biochar could significantly contribute to sustainable agricultural practices globally. This review underscores the need for further research into the social dimensions of biochar adoption and the implementation of policies to foster its widespread use.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70077","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohit Singh Rana, Rajesh Nandi, Paul B. Brown, Jen-Yi Huang, Ji-Qin Ni
{"title":"Optimizing Feedstocks Mixing Ratio and Hydraulic Retention Time for Biogas Production From Anaerobic Codigestion of Dairy Manure and Aquaculture Sludge","authors":"Mohit Singh Rana, Rajesh Nandi, Paul B. Brown, Jen-Yi Huang, Ji-Qin Ni","doi":"10.1111/gcbb.70079","DOIUrl":"https://doi.org/10.1111/gcbb.70079","url":null,"abstract":"<p>Aquaculture sludge (AS), rich in nutrients, can pose environmental risks such as eutrophication, threatening aquatic ecosystems and water quality if not properly managed. However, AS can also be used as a feedstock for bioenergy production. This study investigated bioenergy (methane) production from AS and dairy manure (DM) under anaerobic codigestion using the biochemical methane potential test. Results showed that anaerobic codigestion of DM and AS produced higher methane production compared with their individual monodigestion. The DM:AS ratios of 50:50, 30:70, and 10:90 showed synergistic effects, with codigestion performance indices of 1.2, 1.3, and 1.5, respectively. A DM:AS ratio of 10:90 provided the highest methane production of 341.80 mL g<sup>−1</sup> volatile solids, being 65% and 52% greater than those from monodigestion of these two feedstocks, respectively. A hydraulic retention time of 16 days was found optimum, attaining 90% of the cumulative methane production. The experimental data of methane production fitted perfectly with the superimposed model, reflecting contribution from both readily degradable and harder fractions of the feedstock mix. These findings present an approach to effective valorization and management of the nutrient-rich AS through enhanced energy recovery and promote sustainability in the aquaculture industry.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144929680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siwar Saadaoui, David Makowski, Benoît Gabrielle, Thierry Brunelle
{"title":"Mapping Out the Yields of Energy Crops With Data-Driven Global Models, Including Climate and Soil Predictors","authors":"Siwar Saadaoui, David Makowski, Benoît Gabrielle, Thierry Brunelle","doi":"10.1111/gcbb.70078","DOIUrl":"https://doi.org/10.1111/gcbb.70078","url":null,"abstract":"<p>Lignocellulosic crops such as Miscanthus, Eucalyptus, Poplar, Willow, and Switchgrass are gaining attention as promising feedstocks for renewable energy and carbon-mitigation strategies, especially on marginal lands. Assessing their global yield potentials requires models that go beyond climate drivers alone. Using a global dataset of 3963 yield observations for five species, we developed a high-resolution (5-arc-minute) modeling framework that augments climate with detailed soil and topographic predictors. Among seven machine learning algorithms, Random Forest, Extra Trees, and Gradient Boosting (GB) emerged as top performers. On an independent test set, the best model achieved a root mean square error (RMSE) of 4.8 t DM ha<sup>−1</sup> year<sup>−1</sup> (across algorithms: 4.7–5.0 t DM ha<sup>−1</sup> year<sup>−1</sup>) and an <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>R</mi>\u0000 <mn>2</mn>\u0000 </msup>\u0000 </mrow>\u0000 <annotation>$$ {R}^2 $$</annotation>\u0000 </semantics></math> of 0.67, a moderate error relative to the broad 4–19 t DM ha<sup>−1</sup> year<sup>−1</sup> spatial yield range. After outlier handling via a two-phase cross-validation procedure, each model was applied globally under current climate and three future scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5). Across scenarios (relative to the 1980–2000 baseline), median absolute yield changes over suitable land are modest (ca. 1–2 t DM ha<sup>−1</sup> year<sup>−1</sup>), yet localized hotspots show gains or losses up to 8 t DM ha<sup>−1</sup> year<sup>−1</sup>. Yields most often increase in presently cool, high-latitude areas and decrease in warmer/drier or edaphically constrained low-latitude regions. We additionally provide a “best-crop” map identifying where each species may offer the most favorable balance between yield and production cost, revealing pronounced geographic variation in suitability. Compared with alternative models based on coarser-resolution datasets, our approach generally yields more conservative estimates, likely reflecting the added constraint from soil and topographic predictors. These results underscore the importance of representing local environmental heterogeneity when predicting energy-crop productivity under climate change.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70078","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144927638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Léa Boros, Lucie Martin, Marco Carozzi, Sabine Houot, Philippe Martin, Florent Levavasseur
{"title":"Land Cover Changes Following Biogas Development Across Different Farm Types: A Nationwide Study in France","authors":"Léa Boros, Lucie Martin, Marco Carozzi, Sabine Houot, Philippe Martin, Florent Levavasseur","doi":"10.1111/gcbb.70073","DOIUrl":"https://doi.org/10.1111/gcbb.70073","url":null,"abstract":"<p>Biogas production is increasingly promoted across Europe as a renewable energy source, with growing attention to minimizing land use impacts and preserving food production. In France, biogas plant development has rapidly expanded in recent years, along with the use of energy cover crops. This study examines the national land cover changes following the implementation of biogas plants and explores potential explanatory variables for these changes. Using four key databases (the French Land Parcel Identification System, the SINOE database, the Open Data Reseaux Energies database, and the 2020 French Agricultural Census), we identified farms linked to biogas plants and analyzed their land cover dynamics across various farm characteristics between 2010 and 2021. A typology of land cover changes was developed through clustering techniques. At the national level, our results showed significant land cover changes, including increases in maize and other cereal areas (e.g., rye, triticale, sorghum, among others) and decreases in rapeseed and common wheat. Regional variability emerged which suggests distinct strategies of energy crop introduction. Notably, stronger land cover changes were observed on field crop farms and on those with injection-based biogas plants, which are expected to become the dominant system in the future. Additionally, irrigation availability tended to favor summer energy cover crops over winter energy cover crops. Distinct land cover changes were also observed on organic farms, with a notable increase in “grassland and forage crop” areas (excluding silage maize). As the European biomethane market expands, concerns arise regarding the long-term land cover implications of this growth. While energy cover crops are promoted as a sustainable feedstock for biomethane production, their widespread adoption could still lead to significant land cover changes. This raises important questions about the feasibility of achieving Europe's biomethane production goals while addressing potential land use challenges.</p>","PeriodicalId":55126,"journal":{"name":"Global Change Biology Bioenergy","volume":"17 10","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gcbb.70073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144923753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}