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Hua F, Wang W, Nakagawa S, Liu S, Miao X, Yu L, Du Z, Abrahamczyk S, Arias-Sosa LA, Buda K, Budka M, Carrière SM, Chandler RB, Chiatante G, Chiawo DO, Cresswell W, Echeverri A, Goodale E, Huang G, Hulme MF, Hutto RL, Imboma TS, Jarrett C, Jiang Z, Kati VI, King DI, Kmecl P, Li N, Lövei GL, Macchi L, MacGregor-Fors I, Martin EA, Mira A, Morelli F, Ortega-Álvarez R, Quan RC, Salgueiro PA, Santos SM, Shahabuddin G, Socolar JB, Soh MCK, Sreekar R, Srinivasan U, Wilcove DS, Yamaura Y, Zhou L, Elsen PR. Ecological filtering shapes the impacts of agricultural deforestation on biodiversity. Nat Ecol Evol 2024; 8:251-266. [PMID: 38182682 DOI: 10.1038/s41559-023-02280-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 11/14/2023] [Indexed: 01/07/2024]
Abstract
The biodiversity impacts of agricultural deforestation vary widely across regions. Previous efforts to explain this variation have focused exclusively on the landscape features and management regimes of agricultural systems, neglecting the potentially critical role of ecological filtering in shaping deforestation tolerance of extant species assemblages at large geographical scales via selection for functional traits. Here we provide a large-scale test of this role using a global database of species abundance ratios between matched agricultural and native forest sites that comprises 71 avian assemblages reported in 44 primary studies, and a companion database of 10 functional traits for all 2,647 species involved. Using meta-analytic, phylogenetic and multivariate methods, we show that beyond agricultural features, filtering by the extent of natural environmental variability and the severity of historical anthropogenic deforestation shapes the varying deforestation impacts across species assemblages. For assemblages under greater environmental variability-proxied by drier and more seasonal climates under a greater disturbance regime-and longer deforestation histories, filtering has attenuated the negative impacts of current deforestation by selecting for functional traits linked to stronger deforestation tolerance. Our study provides a previously largely missing piece of knowledge in understanding and managing the biodiversity consequences of deforestation by agricultural deforestation.
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Affiliation(s)
- Fangyuan Hua
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China.
| | - Weiyi Wang
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - Shinichi Nakagawa
- Evolution and Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Shuangqi Liu
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Xinran Miao
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China
- Fenner School of Environment and Society, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Le Yu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
- Ministry of Education Ecological Field Station for East Asia Migratory Birds, Tsinghua University, Beijing, China
- Tsinghua University (Department of Earth System Science)-Xi'an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping, Beijing, China
| | - Zhenrong Du
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
| | - Stefan Abrahamczyk
- Department of Botany, State Museum of Natural History Stuttgart, Stuttgart, Germany
| | - Luis Alejandro Arias-Sosa
- Laboratorio de Ecología de Organismos (GEO-UPTC), Escuela de Ciencias Biológicas, Universidad Pedagógica y Tecnológica de Colombia, Tunja, Colombia
| | - Kinga Buda
- Department of Behavioural Ecology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
| | - Michał Budka
- Department of Behavioural Ecology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
| | - Stéphanie M Carrière
- Institut de Recherche pour le Développement, UMR SENS, IRD, CIRAD, Université Paul Valéry Montpellier 3, Université de Montpellier, Montpellier, France
| | - Richard B Chandler
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, USA
| | | | - David O Chiawo
- Centre for Biodiversity Information Development, Strathmore University, Nairobi, Kenya
| | - Will Cresswell
- Centre of Biological Diversity, University of St Andrews, St Andrews, Scotland
| | - Alejandra Echeverri
- Department of Environmental Science, Policy and Management, University of California Berkeley, Berkeley, CA, USA
| | - Eben Goodale
- Department of Health and Environmental Science, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Guohualing Huang
- School of Environment and Science, Griffith University, Brisbane, Queensland, Australia
| | - Mark F Hulme
- Department of Life Sciences, Faculty of Science and Technology, University of the West Indies, St Augustine, Trinidad and Tobago
- British Trust for Ornithology, Norfolk, UK
| | - Richard L Hutto
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | - Titus S Imboma
- Ornithology Section, Zoology Department, National Museums of Kenya, Nairobi, Kenya
| | - Crinan Jarrett
- Department of Bird Migration, Swiss Ornithological Institute, Sempach, Switzerland
| | - Zhigang Jiang
- Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Vassiliki I Kati
- Department of Biological Applications and Technology, University of Ioannina, Ioannina, Greece
| | - David I King
- Northern Research Station, USDA Forest Service, Amherst, MA, USA
| | - Primož Kmecl
- Group for Conservation Biology, DOPPS BirdLife Slovenia, Ljubljana, Slovenia
| | - Na Li
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, China
| | - Gábor L Lövei
- Institute of Applied Ecology, Fujian University of Agriculture and Forestry, Fuzhou, China
- HUN-REN-DE Anthropocene Ecology Research Group, University of Debrecen, Debrecen, Hungary
| | - Leandro Macchi
- Instituto de Ecología Regional (IER), CONICET, Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Ian MacGregor-Fors
- Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Lahti, Finland
| | - Emily A Martin
- Institute of Animal Ecology and Systematic Zoology, Justus Liebig University of Gießen, Giessen, Germany
| | - António Mira
- MED (Mediterranean Institute for Agriculture, Environment and Development), CHANGE (Global Change and Sustainability Institute) and UBC (Conservation Biology Lab), Department of Biology, School of Sciences and Technology, University of Évora, Évora, Portugal
| | - Federico Morelli
- Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
- Department of Life and Environmental Sciences, Bournemouth University, Poole, UK
| | - Rubén Ortega-Álvarez
- Investigadoras e Investigadores por México del Consejo Nacional de Ciencia y Tecnología (CONACYT), Dirección Regional Occidente, Mexico City, Mexico
| | - Rui-Chang Quan
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, China
| | - Pedro A Salgueiro
- MED (Mediterranean Institute for Agriculture, Environment and Development), CHANGE (Global Change and Sustainability Institute), Institute for Advanced Studies and Research and UBC (Conservation Biology Lab), University of Évora, Évora, Portugal
| | - Sara M Santos
- MED (Mediterranean Institute for Agriculture, Environment and Development), CHANGE (Global Change and Sustainability Institute), Institute for Advanced Studies and Research and UBC (Conservation Biology Lab), University of Évora, Évora, Portugal
| | | | | | | | - Rachakonda Sreekar
- Centre for Nature-based Climate Solutions, National University of Singapore, Singapore, Singapore
| | - Umesh Srinivasan
- Centre for Ecological Sciences, Indian Institute of Science, Bangalore, India
| | - David S Wilcove
- School of Public and International Affairs and Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Yuichi Yamaura
- Shikoku Research Center, Forestry and Forest Products Research Institute, Kochi, Japan
| | - Liping Zhou
- Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Paul R Elsen
- Global Conservation Program, Wildlife Conservation Society, Bronx, NY, USA
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Bradu P, Biswas A, Nair C, Sreevalsakumar S, Patil M, Kannampuzha S, Mukherjee AG, Wanjari UR, Renu K, Vellingiri B, Gopalakrishnan AV. Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:124488-124519. [PMID: 35397034 PMCID: PMC8994424 DOI: 10.1007/s11356-022-20024-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 03/28/2022] [Indexed: 05/06/2023]
Abstract
This review gives concise information on green technology (GT) and Industrial Revolution 4.0 (IR 4.0). Climate change has begun showing its impacts on the environment, and the change is real. The devastating COVID-19 pandemic has negatively affected lives and the world from the deadly consequences at a social, economic, and environmental level. In order to balance this crisis, there is a need to transition toward green, sustainable forms of living and practices. We need green innovative technologies (GTI) and Internet of Things (IoT) technologies to develop green, durable, biodegradable, and eco-friendly products for a sustainable future. GTI encompasses all innovations that contribute to developing significant products, services, or processes that lower environmental harm, impact, and worsening while augmenting natural resource utilization. Sensors are typically used in IoT environmental monitoring applications to aid ecological safety by nursing air or water quality, atmospheric or soil conditions, and even monitoring species' movements and habitats. The industries and the governments are working together, have come up with solutions-the Green New Deal, carbon pricing, use of bio-based products as biopesticides, in biopharmaceuticals, green building materials, bio-based membrane filters for removing pollutants, bioenergy, biofuels and are essential for the green recovery of world economies. Environmental biotechnology, Green Chemical Engineering, more bio-based materials to separate pollutants, and product engineering of advanced materials and environmental economies are discussed here to pave the way toward the Sustainable Development Goals (SDGs) set by the UN and achieve the much-needed IR 4.0 for a greener-balanced environment and a sustainable future.
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Affiliation(s)
- Pragya Bradu
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Antara Biswas
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Chandralekha Nair
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Salini Sreevalsakumar
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Megha Patil
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Sandra Kannampuzha
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Anirban Goutam Mukherjee
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Uddesh Ramesh Wanjari
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Kaviyarasi Renu
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India, 600 007
| | - Balachandar Vellingiri
- Human Molecular Cytogenetics and Stem Cell Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India
| | - Abilash Valsala Gopalakrishnan
- Department of Biomedical Sciences, School of Bio-Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
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van der Burg MP, Otto C, MacDonald G. Trending against the grain: Bird population responses to expanding energy portfolios in the US Northern Great Plains. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2023; 33:e2904. [PMID: 37417944 DOI: 10.1002/eap.2904] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 06/14/2023] [Indexed: 07/08/2023]
Abstract
Future global energy demand may be met through increased extraction of fossil fuels and production of renewable energy such as biofuels. Renewable energy from biofuels is often proposed as an environmentally friendly alternative to fossil fuels; however, impacts of renewable energy sources on wildlife populations have rarely been evaluated in working landscapes. We used North American Breeding Bird Survey data (1998 to 2021) to assess whether the joint effects of oil and gas and biofuel crop production explained grassland bird population declines. We modeled location-specific effects of land use on grassland bird habitat use for four grassland bird species (bobolink [Dolichonyx oryzivorus], grasshopper sparrow [Ammodramus savannarum], Savannah sparrow [Passerculus sandwichensis], and western meadowlark [Sturnella neglecta]) in North Dakota, a state experiencing rapid growth in both energy sectors. Our analysis showed that grassland birds responded more negatively to biofuel feedstocks (i.e., corn and soybeans) on the landscape compared with oil and gas development. Furthermore, we found that the effect of feedstocks was not generalizable to other forms of agricultural land use. When combined, these land use changes resulted in distributional shifts of grassland birds, with use by birds being lower in regions dominated by biofuel production, which appears partially responsible for observed abundance trends at the state level. Our results indicate that expansion of oil and gas development has negatively affected habitat use by some grassland birds, but this impact was more localized when compared to biofuel crops. Conservation practitioners may need to adapt their conservation strategies to account for widespread and rapid land use change driven by United States energy policies.
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Affiliation(s)
- Max Post van der Burg
- U.S. Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, North Dakota, USA
| | - Clint Otto
- U.S. Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, North Dakota, USA
| | - Garrett MacDonald
- U.S. Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, North Dakota, USA
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4
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Haan NL, Benucci GNM, Fiser CM, Bonito G, Landis DA. Contrasting effects of bioenergy crops on biodiversity. SCIENCE ADVANCES 2023; 9:eadh7960. [PMID: 37738354 PMCID: PMC10516493 DOI: 10.1126/sciadv.adh7960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/21/2023] [Indexed: 09/24/2023]
Abstract
Agriculture is driving biodiversity loss, and future bioenergy cropping systems have the potential to ameliorate or exacerbate these effects. Using a long-term experimental array of 10 bioenergy cropping systems, we quantified diversity of plants, invertebrates, vertebrates, and microbes in each crop. For many taxonomic groups, alternative annual cropping systems provided no biodiversity benefits when compared to corn (the business-as-usual bioenergy crop in the United States), and simple perennial grass-based systems provided only modest gains. In contrast, for most animal groups, richness in plant-diverse perennial systems was much higher than in annual crops or simple perennial systems. Microbial richness patterns were more eclectic, although some groups responded positively to plant diversity. Future agricultural landscapes incorporating plant-diverse perennial bioenergy cropping systems could be of high conservation value. However, increased use of annual crops will continue to have negative effects, and simple perennial grass systems may provide little improvement over annual crops.
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Affiliation(s)
- Nathan L. Haan
- Department of Entomology, Michigan State University, East Lansing, MI, USA
- Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA
- Department of Entomology, University of Kentucky, Lexington, KY, USA
| | - Gian N. M. Benucci
- Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA
| | - Cynthia M. Fiser
- Department of Entomology, Michigan State University, East Lansing, MI, USA
| | - Gregory Bonito
- Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA
| | - Douglas A. Landis
- Department of Entomology, Michigan State University, East Lansing, MI, USA
- Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA
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Jones GM, Brosi B, Evans JM, Gottlieb IGW, Loy X, Núñez-Regueiro MM, Ober HK, Pienaar E, Pillay R, Pisarello K, Smith LL, Fletcher RJ. Conserving alpha and beta diversity in wood-production landscapes. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2022; 36:e13872. [PMID: 34856018 DOI: 10.1111/cobi.13872] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 05/30/2021] [Accepted: 11/25/2021] [Indexed: 06/13/2023]
Abstract
International demand for wood and other forest products continues to grow rapidly, and uncertainties remain about how animal communities will respond to intensifying resource extraction associated with woody bioenergy production. We examined changes in alpha and beta diversity of bats, bees, birds, and reptiles across wood production landscapes in the southeastern United States, a biodiversity hotspot that is one of the principal sources of woody biomass globally. We sampled across a spatial gradient of paired forest land-uses (representing pre and postharvest) that allowed us to evaluate biological community changes resulting from several types of biomass harvest. Short-rotation practices and residue removal following clearcuts were associated with reduced alpha diversity (-14.1 and -13.9 species, respectively) and lower beta diversity (i.e., Jaccard dissimilarity) between land-use pairs (0.46 and 0.50, respectively), whereas midrotation thinning increased alpha (+3.5 species) and beta diversity (0.59). Over the course of a stand rotation in a single location, biomass harvesting generally led to less biodiversity. Cross-taxa responses to resource extraction were poorly predicted by alpha diversity: correlations in responses between taxonomic groups were highly variable (-0.2 to 0.4) with large uncertainties. In contrast, beta diversity patterns were highly consistent and predictable across taxa, where correlations in responses between taxonomic groups were all positive (0.05-0.4) with more narrow uncertainties. Beta diversity may, therefore, be a more reliable and information-rich indicator than alpha diversity in understanding animal community response to landscape change. Patterns in beta diversity were primarily driven by turnover instead of species loss or gain, indicating that wood extraction generates habitats that support different biological communities.
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Affiliation(s)
- Gavin M Jones
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
- Current address: Gavin M. Jones, USDA Forest Service, Rocky Mountain Research Station, Albuquerque, New Mexico, USA
| | - Berry Brosi
- Department of Environmental Science, Emory University, Atlanta, Georgia, USA
- Current Address: Berry Brosi, Department of Biology, University of Washington, Seattle, Washington, USA
| | - Jason M Evans
- Department of Environmental Science and Studies, Stetson University, DeLand, Florida, USA
| | - Isabel G W Gottlieb
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
| | - Xingwen Loy
- Department of Environmental Science, Emory University, Atlanta, Georgia, USA
- Current address: Xingwen Loy, Conservation & Research Department, Atlanta Botanical Garden, Atlanta, Georgia, USA
| | | | - Holly K Ober
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
| | - Elizabeth Pienaar
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, USA
- Mammal Research Institute, University of Pretoria, Pretoria, South Africa
| | - Rajeev Pillay
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
| | - Kathryn Pisarello
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
- Current address: Kathryn Pisarello, USDA Agricultural Research Service, Southeast Watershed Research Laboratory, Tifton, Georgia, USA
| | | | - Robert J Fletcher
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
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Hanssen SV, Steinmann ZJN, Daioglou V, Čengić M, Van Vuuren DP, Huijbregts MAJ. Global implications of crop‐based bioenergy with carbon capture and storage for terrestrial vertebrate biodiversity. GCB BIOENERGY 2022; 14:307-321. [PMID: 35875590 PMCID: PMC9299942 DOI: 10.1111/gcbb.12911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/22/2021] [Accepted: 11/08/2021] [Indexed: 11/30/2022]
Abstract
Bioenergy with carbon capture and storage (BECCS) based on purpose‐grown lignocellulosic crops can provide negative CO2 emissions to mitigate climate change, but its land requirements present a threat to biodiversity. Here, we analyse the implications of crop‐based BECCS for global terrestrial vertebrate species richness, considering both the land‐use change (LUC) required for BECCS and the climate change prevented by BECCS. LUC impacts are determined using global‐equivalent, species–area relationship‐based loss factors. We find that sequestering 0.5–5 Gtonne of CO2 per year with lignocellulosic crop‐based BECCS would require hundreds of Mha of land, and commit tens of terrestrial vertebrate species to extinction. Species loss per unit of negative emissions decreases with: (i) longer lifetimes of BECCS systems, (ii) less overall deployment of crop‐based BECCS and (iii) optimal land allocation, that is prioritizing locations with the lowest species loss per negative emission potential, rather than minimizing overall land use or prioritizing locations with the lowest biodiversity. The consequences of prevented climate change for biodiversity are based on existing climate response relationships. Our tentative comparison shows that for crop‐based BECCS considered over 30 years, LUC impacts on vertebrate species richness may outweigh the positive effects of prevented climate change. Conversely, for BECCS considered over 80 years, the positive effects of climate change mitigation on biodiversity may outweigh the negative effects of LUC. However, both effects and their interaction are highly uncertain and require further understanding, along with the analysis of additional species groups and biodiversity metrics. We conclude that factoring in biodiversity means lignocellulosic crop‐based BECCS should be used early to achieve the required mitigation over longer time periods, on optimal biomass cultivation locations, and most importantly, as little as possible where conversion of natural land is involved, looking instead to sustainably grown or residual biomass‐based feedstocks and alternative strategies for carbon dioxide removal.
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Affiliation(s)
- Steef V. Hanssen
- Department of Environmental Science Radboud Institute for Biological and Environmental Sciences Radboud University Nijmegen The Netherlands
| | - Zoran J. N. Steinmann
- Department of Environmental Science Radboud Institute for Biological and Environmental Sciences Radboud University Nijmegen The Netherlands
- Environmental Systems Analysis Group Wageningen University & Research Wageningen The Netherlands
| | - Vassilis Daioglou
- PBL Netherlands Environmental Assessment Agency The Hague The Netherlands
- Copernicus Institute of Sustainable Development Utrecht University Utrecht The Netherlands
| | - Mirza Čengić
- Department of Environmental Science Radboud Institute for Biological and Environmental Sciences Radboud University Nijmegen The Netherlands
| | - Detlef P. Van Vuuren
- PBL Netherlands Environmental Assessment Agency The Hague The Netherlands
- Copernicus Institute of Sustainable Development Utrecht University Utrecht The Netherlands
| | - Mark A. J. Huijbregts
- Department of Environmental Science Radboud Institute for Biological and Environmental Sciences Radboud University Nijmegen The Netherlands
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