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Lo Piano S, Lőrincz MJ, Puy A, Pye S, Saltelli A, Smith ST, van der Sluijs J. Unpacking the modeling process for energy policy making. Risk Anal 2023. [PMID: 37963564 DOI: 10.1111/risa.14248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 09/07/2023] [Accepted: 10/12/2023] [Indexed: 11/16/2023]
Abstract
This article explores how the modeling of energy systems may lead to an undue closure of alternatives by generating an excess of certainty around some of the possible policy options. We retrospectively exemplify the problem with the case of the International Institute for Applied Systems Analysis (IIASA) global modeling in the 1980s. We discuss different methodologies for quality assessment that may help mitigate this issue, which include Numeral Unit Spread Assessment Pedigree (NUSAP), diagnostic diagrams, and sensitivity auditing (SAUD). We illustrate the potential of these reflexive modeling practices in energy policy-making with three additional cases: (i) the case of the energy system modeling environment (ESME) for the creation of UK energy policy; (ii) the negative emission technologies (NETs) uptake in integrated assessment models (IAMs); and (iii) the ecological footprint indicator. We encourage modelers to adopt these approaches to achieve more robust, defensible, and inclusive modeling activities in the field of energy research.
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Affiliation(s)
- Samuele Lo Piano
- School of the Built Environment, University of Reading, Reading, Berkshire, UK
| | - Máté János Lőrincz
- School of the Built Environment, University of Reading, Reading, Berkshire, UK
| | - Arnald Puy
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Steve Pye
- Bartlett School Env, Energy & Resources, University College London, London, UK
| | - Andrea Saltelli
- UPF-Barcelona School of Management, Barcelona, Catalonia, Spain
- Centre for the Study of the Sciences and the Humanities, University of Bergen, Bergen, Norway
| | - Stefán Thor Smith
- School of the Built Environment, University of Reading, Reading, Berkshire, UK
| | - Jeroen van der Sluijs
- Centre for the Study of the Sciences and the Humanities, University of Bergen, Bergen, Norway
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2
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Bai Z, Wu X, Lassaletta L, Haverkamp A, Li W, Yuan Z, Aguilera E, Uwizeye A, Sanz-Cobena A, Zhang N, Fan X, Zhu F, Dicke M, Wang X, Ma L. Investing in mini-livestock production for food security and carbon neutrality in China. Proc Natl Acad Sci U S A 2023; 120:e2304826120. [PMID: 37844251 PMCID: PMC10614834 DOI: 10.1073/pnas.2304826120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 08/18/2023] [Indexed: 10/18/2023] Open
Abstract
Future food farming technology faces challenges that must integrate the core goal of keeping the global temperature increase within 1.5 °C without reducing food security and nutrition. Here, we show that boosting the production of insects and earthworms based on food waste and livestock manure to provide food and feed in China will greatly contribute to meeting the country's food security and carbon neutrality pledges. By substituting domestic products with mini-livestock (defined as earthworms and insects produced for food or feed) protein and utilizing the recovered land for bioenergy production plus carbon capture and storage, China's agricultural sector could become carbon-neutral and reduce feed protein imports to near zero. This structural change may lead to reducing greenhouse gas emissions by 2,350 Tg CO2eq per year globally when both domestic and imported products are substituted. Overall, the success of mini-livestock protein production in achieving carbon neutrality and food security for China and its major trading partners depends on how the substitution strategies will be implemented and how the recovered agricultural land will be managed, e.g., free use for afforestation and bioenergy or by restricting this land to food crop use. Using China as an example, this study also demonstrates the potential of mini-livestock for decreasing the environmental burden of food production in general.
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Affiliation(s)
- Zhaohai Bai
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, Hebei050021, China
| | - Xiaofei Wu
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, Hebei050021, China
| | - Luis Lassaletta
- Research Centre for the Management of Agricultural and Environmental Risks, Escuela Técnica Superior de Ingeniería Agronomica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid28040, Spain
| | - Alexander Haverkamp
- Laboratory of Entomology, Wageningen University and Research, Wageningen6700 AA, The Netherlands
| | - Wei Li
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Zengwei Yuan
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing210023, China
| | - Eduardo Aguilera
- Research Centre for the Management of Agricultural and Environmental Risks, Escuela Técnica Superior de Ingeniería Agronomica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid28040, Spain
- Alimentta, Think Tank para la Transición Alimentaria, Andalucía18320, Spain
| | - Aimable Uwizeye
- Animal Production and Health Division, Food and Agriculture Organization of the United Nations, Rome00153, Italy
| | - Alberto Sanz-Cobena
- Research Centre for the Management of Agricultural and Environmental Risks, Escuela Técnica Superior de Ingeniería Agronomica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid28040, Spain
| | - Nannan Zhang
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, Hebei050021, China
| | - Xiangwen Fan
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, Hebei050021, China
| | - Feng Zhu
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, Hebei050021, China
| | - Marcel Dicke
- Laboratory of Entomology, Wageningen University and Research, Wageningen6700 AA, The Netherlands
| | - Xuan Wang
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, Hebei050021, China
| | - Lin Ma
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, Hebei050021, China
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3
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Li Z, Ciais P, Wright JS, Wang Y, Liu S, Wang J, Li LZX, Lu H, Huang X, Zhu L, Goll DS, Li W. Increased precipitation over land due to climate feedback of large-scale bioenergy cultivation. Nat Commun 2023; 14:4096. [PMID: 37433799 DOI: 10.1038/s41467-023-39803-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 06/27/2023] [Indexed: 07/13/2023] Open
Abstract
Bioenergy with carbon capture and storage (BECCS) is considered to be a key technology for removing carbon dioxide from the atmosphere. However, large-scale bioenergy crop cultivation results in land cover changes and activates biophysical effects on climate, with earth's water recycling altered and energy budget re-adjusted. Here, we use a coupled atmosphere-land model with explicit representations of high-transpiration woody (i.e., eucalypt) and low-transpiration herbaceous (i.e., switchgrass) bioenergy crops to investigate the range of impact of large-scale rainfed bioenergy crop cultivation on the global water cycle and atmospheric water recycling. We find that global land precipitation increases under BECCS scenarios, due to enhanced evapotranspiration and inland moisture advection. Despite enhanced evapotranspiration, soil moisture decreases only slightly, due to increased precipitation and reduced runoff. Our results indicate that, at the global scale, the water consumption by bioenergy crop growth would be partially compensated by atmospheric feedbacks. Thus, to support more effective climate mitigation policies, a more comprehensive assessment, including the biophysical effects of bioenergy cultivation, is highly recommended.
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Affiliation(s)
- Zhao Li
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Jonathon S Wright
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
| | - Yong Wang
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
| | - Shu Liu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
| | - Jingmeng Wang
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
| | - Laurent Z X Li
- Laboratoire de Météorologie Dynamique, Centre National de la Recherche Scientifique, Sorbonne Université, Ecole Normale Supérieure, Ecole Polytechnique, 75252, Paris, France
| | - Hui Lu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
| | - Xiaomeng Huang
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
| | - Lei Zhu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China
| | - Daniel S Goll
- Université Paris Saclay, CEA-CNRS-UVSQ, LSCE/IPSL, Gif sur Yvette, France
| | - Wei Li
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, 100084, Beijing, China.
- Ministry of Education Ecological Field Station for East Asian Migratory Birds, 100084, Beijing, China.
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4
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Yi D, Ding G, Han Y, Yi J, Guo J, Ou M. Integrated assessment and critical obstacle diagnosis of rural resource and environmental carrying capacity with a social-ecological framework: a case study of Liyang county, Jiangsu Province. Environ Sci Pollut Res Int 2023:10.1007/s11356-023-27509-w. [PMID: 37233929 DOI: 10.1007/s11356-023-27509-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 05/04/2023] [Indexed: 05/27/2023]
Abstract
The contradiction among human being, resources, and environment has become a significant obstacle to achieving sustainable development, especially in rural areas subject to the spillover of urban development elements. With the immense strain of resources and environment, it is critical to assess whether human activities fall within the carrying capacity range of a natural ecosystem in a rural system. Taking the rural areas of Liyang county as an example, this study aims to assess the rural resource and environmental carrying capacity (RRECC) and diagnose its critical obstacles. Firstly, a social-ecological framework focusing on human-environment interaction was employed to construct the RRECC indicator system. Subsequently, the entropy-TOPSIS method was introduced to assess the performance of the RRECC. Finally, the obstacle diagnosis method was applied to identify the critical obstacles of RRECC. Our results show that the distribution of RRECC presents a spatial heterogeneity, with high- and medium-high-level villages primarily concentrated in the south of the study area, where there are abundant hills and ecological lakes. Medium-level villages are scattered throughout each town, and low and medium-low level villages are concentrated across all the towns. Moreover, the resource subsystem of RRECC (RRECC_RS) exhibits a similar spatial distribution to RRECC, while the outcome subsystem of RRECC (RRECC_OS) has a comparable quantity proportion of different levels to RRECC. Furthermore, the diagnosis results of critical obstacle vary between the town scale divided by administrative units and the regional scale divided by RRECC values. In detail, arable land occupied by construction is the main critical obstacle at the town scale, while the poor people in villages, people left-behind, and arable land occupied by construction are the main critical obstacles at the regional scale. Targeted differentiated improvement strategies for RRECC at regional scale from various perspectives of global, local, and single are proposed. This research can serve as a theoretical foundation for assessing RRECC and developing differentiated sustainable development strategies for the path forward to rural revitalization.
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Affiliation(s)
- Dan Yi
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Guanqiao Ding
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Department of Geosciences and Natural Resource Management, University of Copenhagen, 1958, Copenhagen, Denmark
| | - Yi Han
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
| | - Jialin Yi
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Jie Guo
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
- State and Local Joint Engineering Research Center of Rural Land Resources Utilization and Consolidation, Nanjing, 210095, China.
- China Resources & Environment and Development Academy, Nanjing, 210095, China.
| | - Minghao Ou
- College of Land Management, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- State and Local Joint Engineering Research Center of Rural Land Resources Utilization and Consolidation, Nanjing, 210095, China
- China Resources & Environment and Development Academy, Nanjing, 210095, China
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5
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Wang J, Ciais P, Gasser T, Chang J, Tian H, Zhao Z, Zhu L, Li Z, Li W. Temperature Changes Induced by Biogeochemical and Biophysical Effects of Bioenergy Crop Cultivation. Environ Sci Technol 2023; 57:2474-2483. [PMID: 36723918 DOI: 10.1021/acs.est.2c05253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
The production of bioenergy with carbon capture and storage (BECCS) is a pivotal negative emission technology. The cultivation of dedicated crops for BECCS impacts the temperature through two processes: net CO2 removal (CDR) from the atmosphere (biogeochemical cooling) and changes in the local energy balance (biophysical warming or cooling). Here, we compare the magnitude of these two processes for key grass and tree species envisioned for large-scale bioenergy crop cultivation, following economically plausible scenarios using Earth System Models. By the end of this century, the cumulative CDR from the cultivation of eucalypt (72-112 Pg C) is larger than that of switchgrass (34-83 Pg C) because of contrasting contributions of land use change carbon emissions. The combined biogeochemical and biophysical effects are cooling (-0.26 to -0.04 °C) at the global scale, but 13-28% of land areas still have net warming signals, mainly due to the spatial heterogeneity of the biophysical effects. Our study shows that the deployment of bioenergy crop cultivation should not only be guided by the principles of maximizing yield and CDR but should also take an integrated perspective that includes all relevant Earth system feedbacks.
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Affiliation(s)
- Jingmeng Wang
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
- Ministry of Education Ecological Field Station for East Asian Migratory Birds, Beijing100084, China
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette91191, France
| | - Thomas Gasser
- International Institute for Applied Systems Analysis (IIASA), Laxenburg2361, Austria
| | - Jinfeng Chang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou310058, China
| | - Hanqin Tian
- Schiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, Massachusetts02467, United States
| | - Zhe Zhao
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Lei Zhu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Zhao Li
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
| | - Wei Li
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing100084, China
- Ministry of Education Ecological Field Station for East Asian Migratory Birds, Beijing100084, China
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6
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Vinod N, Slot M, McGregor IR, Ordway EM, Smith MN, Taylor TC, Sack L, Buckley TN, Anderson-Teixeira KJ. Thermal sensitivity across forest vertical profiles: patterns, mechanisms, and ecological implications. New Phytol 2023; 237:22-47. [PMID: 36239086 DOI: 10.1111/nph.18539] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 07/31/2022] [Indexed: 06/16/2023]
Abstract
Rising temperatures are influencing forests on many scales, with potentially strong variation vertically across forest strata. Using published research and new analyses, we evaluate how microclimate and leaf temperatures, traits, and gas exchange vary vertically in forests, shaping tree, and ecosystem ecology. In closed-canopy forests, upper canopy leaves are exposed to the highest solar radiation and evaporative demand, which can elevate leaf temperature (Tleaf ), particularly when transpirational cooling is curtailed by limited stomatal conductance. However, foliar traits also vary across height or light gradients, partially mitigating and protecting against the elevation of upper canopy Tleaf . Leaf metabolism generally increases with height across the vertical gradient, yet differences in thermal sensitivity across the gradient appear modest. Scaling from leaves to trees, canopy trees have higher absolute metabolic capacity and growth, yet are more vulnerable to drought and damaging Tleaf than their smaller counterparts, particularly under climate change. By contrast, understory trees experience fewer extreme high Tleaf 's but have fewer cooling mechanisms and thus may be strongly impacted by warming under some conditions, particularly when exposed to a harsher microenvironment through canopy disturbance. As the climate changes, integrating the patterns and mechanisms reviewed here into models will be critical to forecasting forest-climate feedback.
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Affiliation(s)
- Nidhi Vinod
- Conservation Ecology Center, Smithsonian's National Zoo & Conservation Biology Institute, Front Royal, VA, 22630, USA
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, 90039, USA
| | - Martijn Slot
- Smithsonian Tropical Research Institute, Apartado Postal 0843-03092, Panama City, Panama
| | - Ian R McGregor
- Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, 27607, USA
| | - Elsa M Ordway
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, 90039, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Marielle N Smith
- Department of Forestry, Michigan State University, East Lansing, MI, 48824, USA
- School of Natural Sciences, College of Environmental Sciences and Engineering, Bangor University, Bangor, LL57 2DG, UK
| | - Tyeen C Taylor
- Department of Civil & Environmental Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Lawren Sack
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, 90039, USA
| | - Thomas N Buckley
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Kristina J Anderson-Teixeira
- Conservation Ecology Center, Smithsonian's National Zoo & Conservation Biology Institute, Front Royal, VA, 22630, USA
- Smithsonian Tropical Research Institute, Apartado Postal 0843-03092, Panama City, Panama
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7
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Li M, Xu X. Mapping the field of bioenergy with carbon capture and storage (BECCS): scientific cooperation and co-citation analyses. Environ Sci Pollut Res Int 2023; 30:3402-3415. [PMID: 35945323 DOI: 10.1007/s11356-022-22372-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 07/30/2022] [Indexed: 06/15/2023]
Abstract
Bioenergy with carbon capture and storage (BECCS), as the most scalable negative emission technology, can limit global warming to 1.5 ℃ under climate change scenarios. With increasing research on BECCS, concerns have been raised about its deployment and impacts. In view of the limited research on the possible structure and collaboration in the field of BECCS, this study sought to determine the scientific cooperation and knowledge structure using bibliometric approaches based on a science mapping analysis. Co-authorship and co-citation networks were developed from CiteSpace to explore the individual, institutional, and national collaborations, and detect the knowledge structure in the field of BECCS. Six key research groups with connections were found with the research group centered on NIALL MAC DOWELL and PETE SMITH being more focused on BECCS. Cluster analysis results show that the knowledge structure of BECCS has gradually formed. The research field has been continuously developed and relatively independent. The findings provide researchers with an in-depth understanding of the current state of BECCS research and its knowledge structure.
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Affiliation(s)
- Meihui Li
- Business School, Chengdu University, Chengdu, 610106, China.
| | - Xinxin Xu
- Business School, Chengdu University, Chengdu, 610106, China
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8
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Krause A, Papastefanou P, Gregor K, Layritz LS, Zang CS, Buras A, Li X, Xiao J, Rammig A. Quantifying the impacts of land cover change on gross primary productivity globally. Sci Rep 2022; 12:18398. [PMID: 36319733 DOI: 10.1038/s41598-022-23120-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022] Open
Abstract
Historically, humans have cleared many forests for agriculture. While this substantially reduced ecosystem carbon storage, the impacts of these land cover changes on terrestrial gross primary productivity (GPP) have not been adequately resolved yet. Here, we combine high-resolution datasets of satellite-derived GPP and environmental predictor variables to estimate the potential GPP of forests, grasslands, and croplands around the globe. With a mean GPP of 2.0 kg C m-2 yr-1 forests represent the most productive land cover on two thirds of the total area suitable for any of these land cover types, while grasslands and croplands on average reach 1.5 and 1.8 kg C m-2 yr-1, respectively. Combining our potential GPP maps with a historical land-use reconstruction indicates a 4.4% reduction in global GPP from agricultural expansion. This land-use-induced GPP reduction is amplified in some future scenarios as a result of ongoing deforestation (e.g., the large-scale bioenergy scenario SSP4-3.4) but partly reversed in other scenarios (e.g., the sustainability scenario SSP1-1.9) due to agricultural abandonment. Comparing our results to simulations from state-of-the-art Earth System Models, we find that all investigated models deviate substantially from our estimates and from each other. Our maps could be used as a benchmark to reduce this inconsistency, thereby improving projections of land-based climate mitigation potentials.
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9
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Wang J, Li W, Ciais P, Li LZX, Chang J, Goll D, Gasser T, Huang X, Devaraju N, Boucher O. Global cooling induced by biophysical effects of bioenergy crop cultivation. Nat Commun 2021; 12:7255. [PMID: 34903764 DOI: 10.1038/s41467-021-27520-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 11/23/2021] [Indexed: 11/15/2022] Open
Abstract
Bioenergy crop with carbon capture and storage (BECCS) is a key negative emission technology to meet carbon neutrality. However, the biophysical effects of widespread bioenergy crop cultivation on temperature remain unclear. Here, using a coupled atmosphere-land model with an explicit representation of lignocellulosic bioenergy crops, we find that after 50 years of large-scale bioenergy crop cultivation following plausible scenarios, global air temperature decreases by 0.03~0.08 °C, with strong regional contrasts and interannual variability. Over the cultivated regions, woody crops induce stronger cooling effects than herbaceous crops due to larger evapotranspiration rates and smaller aerodynamic resistance. At the continental scale, air temperature changes are not linearly proportional to the cultivation area. Sensitivity tests show that the temperature change is robust for eucalypt but more uncertain for switchgrass among different cultivation maps. Our study calls for new metrics to take the biophysical effects into account when assessing the climate mitigation capacity of BECCS. Bioenergy crops has been proposed as a climate mitigation measure, but how the biophysical effects of large-scale cultivation would influence the climate is not well known. Here, the authors use models to show that large-scale cultivation could cool the global land by 0.03 to 0.08 °C.
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10
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Li W, Ciais P, Han M, Zhao Q, Chang J, Goll DS, Zhu L, Wang J. Bioenergy Crops for Low Warming Targets Require Half of the Present Agricultural Fertilizer Use. Environ Sci Technol 2021; 55:10654-10661. [PMID: 34288664 DOI: 10.1021/acs.est.1c02238] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Bioenergy with carbon capture and storage (BECCS) is a key option for removing CO2 from the atmosphere over time to achieve climate mitigation. However, an overlooked impact of BECCS is the amount of nutrients required to sustain the production. Here, we use an observation-driven approach to estimate the future bioenergy biomass production for land-use scenarios maximizing BECCS and the pertaining nutrient requirements. The projected global biomass production during the 21st century is comparable to the CO2 removal target for 2 °C warming scenarios. However, 9-19% of this future production hinges on agrotechnology improvement, which remains uncertain. Additional nutrients from fertilizers, corresponding to 56.8 ± 6.1% of the present-day agricultural fertilizer, will be needed to replenish the nutrients removed in harvested biomass at the end of the century, resulting in additional costs and greenhouse gas emissions. Our study reveals the nutrient challenges associated with BECCS and calls for additional management efforts to grow bioenergy crops in a sustainable way.
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Affiliation(s)
- Wei Li
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
- Ministry of Education Ecological Field Station for East Asian Migratory Birds, Beijing 100084, China
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA CNRS UVSQ, Gif Sur Yvette 91191, France
| | - Mengjie Han
- Key Laboratory of Pollution Ecology and Environmental Engineering Institute of Applied Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
| | - Qing Zhao
- Key Laboratory of Pollution Ecology and Environmental Engineering Institute of Applied Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
| | - Jinfeng Chang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Daniel S Goll
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA CNRS UVSQ, Gif Sur Yvette 91191, France
| | - Lei Zhu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Jingmeng Wang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
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11
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Abstract
Reaching climate neutrality by 2050 is one of the main long-term objectives of the European Union climate and energy policy, and renewable energy sources (RES) are integral parts of this transition. RES development results in many effects, direct and indirect, linked to each other, societal, local and individual, i.e., “multiple impacts of RES” (MI RES). These effects need to be carefully assessed and evaluated to obtain the full picture of energy field transformation and its context, and enable further development of RES. Nevertheless, the MI RES concept is often presented misleadingly and its scope varies throughout the literature. This paper provides a literature overview of the methodologies of this concept and presents a new concept of MI RES, respecting the difference between effects resulting from the implementation of RES and ultimate multiple impacts. We have summarized the effects into four groups: economic, social, environmental, and technical, which all lead to group of ultimate multiple impacts. Finally, we provide the complex overview of all MI RES and present the framework, which is used to analyze the multiple impacts and effects of RES and to show how the RES development leads and contributes to these impacts and effects. The concept is recommended to be considered in designing a robust energy policy by decision-makers.
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Lasslop G, Hantson S, Harrison SP, Bachelet D, Burton C, Forkel M, Forrest M, Li F, Melton JR, Yue C, Archibald S, Scheiter S, Arneth A, Hickler T, Sitch S. Global ecosystems and fire: Multi-model assessment of fire-induced tree-cover and carbon storage reduction. Glob Chang Biol 2020; 26:5027-5041. [PMID: 32407565 DOI: 10.1111/gcb.15160] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 04/28/2020] [Indexed: 05/09/2023]
Abstract
In this study, we use simulations from seven global vegetation models to provide the first multi-model estimate of fire impacts on global tree cover and the carbon cycle under current climate and anthropogenic land use conditions, averaged for the years 2001-2012. Fire globally reduces the tree covered area and vegetation carbon storage by 10%. Regionally, the effects are much stronger, up to 20% for certain latitudinal bands, and 17% in savanna regions. Global fire effects on total carbon storage and carbon turnover times are lower with the effect on gross primary productivity (GPP) close to 0. We find the strongest impacts of fire in savanna regions. Climatic conditions in regions with the highest burned area differ from regions with highest absolute fire impact, which are characterized by higher precipitation. Our estimates of fire-induced vegetation change are lower than previous studies. We attribute these differences to different definitions of vegetation change and effects of anthropogenic land use, which were not considered in previous studies and decreases the impact of fire on tree cover. Accounting for fires significantly improves the spatial patterns of simulated tree cover, which demonstrates the need to represent fire in dynamic vegetation models. Based upon comparisons between models and observations, process understanding and representation in models, we assess a higher confidence in the fire impact on tree cover and vegetation carbon compared to GPP, total carbon storage and turnover times. We have higher confidence in the spatial patterns compared to the global totals of the simulated fire impact. As we used an ensemble of state-of-the-art fire models, including effects of land use and the ensemble median or mean compares better to observational datasets than any individual model, we consider the here presented results to be the current best estimate of global fire effects on ecosystems.
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Affiliation(s)
- Gitta Lasslop
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
| | - Stijn Hantson
- Department of Earth System Sciences, University of California Irvine, Irvine, CA, USA
| | - Sandy P Harrison
- School of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading, Reading, UK
| | | | | | - Matthias Forkel
- Environmental Remote Sensing Group, Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Dresden, Germany
| | - Matthew Forrest
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
| | - Fang Li
- International Center for Climate and Environmental Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Joe R Melton
- Climate Research Division, Environment Canada, Victoria, BC, Canada
| | - Chao Yue
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi, People's Republic of China
| | - Sally Archibald
- Centre for African Ecology, School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Simon Scheiter
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
| | - Almut Arneth
- Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany
| | - Thomas Hickler
- Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany
- Department of Physical Geography, Goethe University, Frankfurt am Main, Germany
| | - Stephen Sitch
- College of Life and Environmental Sciences, University of Exeter, Exeter, UK
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13
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Ma W, Domke GM, Woodall CW, D’amato AW. Land Use Changes, Disturbances, and Their Interactions on Future Forest Aboveground Biomass Dynamics in the Northern US. Forests 2019; 10:606. [DOI: 10.3390/f10070606] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Land use change (LUC), disturbances, and their interactions play an important role in regional forest carbon (C) dynamics. Here we quantified how these activities and events may influence future aboveground biomass (AGB) dynamics in forests using national forest inventory (NFI) and Landsat time series data in the Northern United States (US). Total forest AGB predictions were based on simulations of diameter growth, mortality, and recruitment using matrix growth models under varying levels of LUC and disturbance severity (low (L), medium (M), and high (H)) every five years from 2018 to 2098. Land use change included the integrated effects of deforestation and reforestation/afforestation (forest [F]→agriculture [A], settlements [S, urbanization/other], and A&S→F), specifically, conversion from F→A, F→S, F→A&S, A→F, S→F, and A&S→F. Disturbances included natural and anthropogenic disturbances such as wildfire, weather, insects and disease, and forest harvesting. Results revealed that, when simultaneously considering both medium LUC and disturbances, total forest AGB predictions of LUC + fire, LUC + weather, LUC + insect & disease, and LUC + harvest indicated substantial increases in regional C stocks (± standard deviation) from 1.88 (±0.13) to 3.29 (±0.28), 3.10 (±0.24), 2.91 (±0.19), and 2.68 (±0.17) Pg C, respectively, from 2018 to 2098. An uncertainty analysis with fuzzy sets suggested that medium LUC under disturbances would lead to greater forest AGB C uptake than undisturbed forest C uptake with high certainty, except for LUC + harvest. The matrix models in this study were parameterized using NFI and Landsat data from the past few decades. Thus, our results imply that if recent trends persist, LUC will remain an important driver of forest C uptake, while disturbances may result in C emissions rather than undisturbed forest C uptake by 2098. The combined effects of LUC and disturbances may serve as an important driver of C uptake and emissions in the Northern US well into the 21st century.
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Cao J, Gong Y, Adamowski JF, Deo RC, Zhu G, Dong X, Zhang X, Liu H, Xin C. Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China. Sci Rep 2019; 9:3005. [PMID: 30816293 DOI: 10.1038/s41598-019-39626-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 01/29/2019] [Indexed: 11/08/2022] Open
Abstract
At an ecosystem level, stand age has a significant influence on carbon storage (CS). Dragon spruce (Picea asperata Mast.) situated along the upper reaches of the Bailongjiang River in northwest China were categorized into three age classes (29-32 years, Y1; 34-39 years, Y2; 40-46 years, Y3), and age-related differences in total carbon storage (TCS) of the forest ecosystem were investigated for the first time. Results showed that TCS for the Y1, Y2, and the Y3 age groups were 323.64, 240.66 and 174.60 Mg ha-1, respectively. The average TCS of the three age groups was 255.65 Mg C ha-1, with above-ground biomass, below-ground biomass, litter, and soil in the top 0.6 m contributing 15.0%, 3.7%, 12.1%, and 69.2%, respectively. CS in soil and TCS of the Y1 age group both significantly exceeded those of the Y3 age group (P < 0.05). Contrary to other recent findings, the present study supports the hypothesis that TCS is likely to decrease as stand age increases. This indicates that natural resource managers should rejuvenate forests by routinely thinning older stands, thereby not only achieving vegetation restoration, but also allowing these stands to create a long-term carbon sink for this important eco-region.
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15
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Harper AB, Powell T, Cox PM, House J, Huntingford C, Lenton TM, Sitch S, Burke E, Chadburn SE, Collins WJ, Comyn-Platt E, Daioglou V, Doelman JC, Hayman G, Robertson E, van Vuuren D, Wiltshire A, Webber CP, Bastos A, Boysen L, Ciais P, Devaraju N, Jain AK, Krause A, Poulter B, Shu S. Land-use emissions play a critical role in land-based mitigation for Paris climate targets. Nat Commun 2018; 9:2938. [PMID: 30087330 PMCID: PMC6081380 DOI: 10.1038/s41467-018-05340-z] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 06/25/2018] [Indexed: 12/02/2022] Open
Abstract
Scenarios that limit global warming to below 2 °C by 2100 assume significant land-use change to support large-scale carbon dioxide (CO2) removal from the atmosphere by afforestation/reforestation, avoided deforestation, and Biomass Energy with Carbon Capture and Storage (BECCS). The more ambitious mitigation scenarios require even greater land area for mitigation and/or earlier adoption of CO2 removal strategies. Here we show that additional land-use change to meet a 1.5 °C climate change target could result in net losses of carbon from the land. The effectiveness of BECCS strongly depends on several assumptions related to the choice of biomass, the fate of initial above ground biomass, and the fossil-fuel emissions offset in the energy system. Depending on these factors, carbon removed from the atmosphere through BECCS could easily be offset by losses due to land-use change. If BECCS involves replacing high-carbon content ecosystems with crops, then forest-based mitigation could be more efficient for atmospheric CO2 removal than BECCS. Land-based mitigation for meeting the Paris climate target must consider the carbon cycle impacts of land-use change. Here the authors show that when bioenergy crops replace high carbon content ecosystems, forest-based mitigation could be more effective for CO2 removal than bioenergy crops with carbon capture and storage.
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Affiliation(s)
- Anna B Harper
- College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.
| | - Tom Powell
- College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QF, UK
| | - Peter M Cox
- College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK
| | - Joanna House
- School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
| | | | - Timothy M Lenton
- College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QF, UK
| | - Stephen Sitch
- College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QF, UK
| | - Eleanor Burke
- Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UK
| | - Sarah E Chadburn
- College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.,University of Leeds, Leeds, LS2 9JT, UK
| | - William J Collins
- Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
| | | | - Vassilis Daioglou
- Department of Climate, Air and Energy, Netherlands Environmental Assessment Agency (PBL), PO Box 30314, 2500 GH, The Hague, Netherlands.,Copernicus Institute of Sustainable Development, Utrecht University, Heidelberglaan 2, 3584 CS, Utrecht, The Netherlands
| | - Jonathan C Doelman
- Department of Climate, Air and Energy, Netherlands Environmental Assessment Agency (PBL), PO Box 30314, 2500 GH, The Hague, Netherlands
| | - Garry Hayman
- Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
| | - Eddy Robertson
- Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UK
| | - Detlef van Vuuren
- Department of Climate, Air and Energy, Netherlands Environmental Assessment Agency (PBL), PO Box 30314, 2500 GH, The Hague, Netherlands.,Copernicus Institute of Sustainable Development, Utrecht University, Heidelberglaan 2, 3584 CS, Utrecht, The Netherlands
| | - Andy Wiltshire
- Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UK
| | | | - Ana Bastos
- Department of Geography, Ludwig Maximilians University Munich, Luisenstr. 37, 80333, Munich, Germany.,Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Lena Boysen
- The Land in the Earth System, Max-Planck Institute for Meteorology, Bundesstrasse 53, 20146, Hamburg, Germany
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Narayanappa Devaraju
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Atul K Jain
- Department of Atmospheric Sciences, University of Illinois, Urbana, IL, 61801, USA
| | - Andreas Krause
- Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research-Atmospheric Environmental Research (IMK-IFU), Kreuzeckbahnstr. 19, Garmisch-Partenkirchen, 82467, Germany
| | - Ben Poulter
- NASA GSFC, Biospheric Sciences Lab., Greenbelt, MD, 20771, USA
| | - Shijie Shu
- Department of Atmospheric Sciences, University of Illinois, Urbana, IL, 61801, USA
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