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Perennial grasslands enhance biodiversity and multiple ecosystem services in bioenergy landscapes
Open accessAbstract
Significance: Science-based polices are needed to inform sustainable bioenergy landscape design. Our key finding is that the linkage between biodiversity and ecosystem services is dependent not only on the choice of bioenergy crop but also on its location relative to other habitats. The implication is that careful design of bioenergy landscapes has the potential to enhance multiple services in food and energy crops, leading to important synergies that have not yet informed the ongoing bioenergy debate. This study is especially timely as high commodity prices are driving conversion of marginal lands to annual crop production, reducing future flexibility.
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In the citing paper
“growing Miscanthus had much less negative impact on biodiversity than annual crops mainly because perennial cultivations provide relatively stable habitats for supporting wild life”
From Bioenergy production and environmental impacts (2018) · cites this paper as Werling et al. 2013
In the citing paper
“Biodiversity could influence provisioning (food, water), supporting (habitat) and regulating services (soil quality) [25,43,85].”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [43]
In the citing paper
“Land conversions may affect habitat availability, species abundance and diversity, especially in the early state of crop establishment period and particularly for natural ecosystem conversions [43,97].”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [43]
In the citing paper
“For example, compared with annul crops, perennials require less soil disturbance, fertilizer and herbicide uses, which can reduce risks of environmental pollution [40,43].”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [43]
In the citing paper
“The production of second-generation bioenergy (biomass based) tends to affect biodiversity less than that of first generation (e.g., sugar, starch, or vegetable oil based).”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [43]
In the citing paper
“Better management practices, use of marginal lands, and improved landscape design can help reduce the risk of biodiversity loss at locations where large-scale biofuel development occurs [43,98].”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [43]
In the citing paper
“Crop residues and energy crops, as second-generation biomass, may even enhance biodiversity if cropping is well maintained [43,97].”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [43]
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Metadata
- Authors
- Werling, B. P., Dickson, T. L., Isaacs, R., Gaines, H., Gratton, C., Gross, K. L., Liere, H., Malmstrom, C. M., Meehan, T. D., Ruan, L., Robertson, B. A., Robertson, G. P., Schmidt, T. M., Schrotenboer, A. C., Teal, T. K., Wilson, J. K., & Landis, D. A.
- Affiliations
- Department of Entomology, Michigan State University, East Lansing, MI 48824;
- University of Nebraska at Omaha (US)
- Great Lakes Bioenergy Research Center (US)
- Great Lakes Bioenergy Research Center, US Department of Energy, University of Wisconsin–Madison, Madison, WI 53706;
- University of Wisconsin–Madison (US)
- Great Lakes Bioenergy Research Center, US Department of Energy, Michigan State University, East Lansing, MI 48824;
- University of Michigan (US)
- Trinity Christian College (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-01-13
- Volume
- 111
- Issue
- 4
- Pages
- 1652-1657
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3910622
- OpenAlex
- W2028849195
- Cited by
- 460
- References
- 32
- Citations by year
- 2026: 23 · 2025: 22 · 2024: 26 · 2023: 42 · 2022: 28 · 2021: 47 · 2020: 39 · 2019: 49 · 2018: 44 · 2017: 52 · 2016: 40 · 2015: 31 · 2014: 17
- FWCI
- 93.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DigitalCommons@UNO (submittedVersion)
- Funders
- National Science Foundation (1027253)
- U.S. Department of Energy (FC02-07ER64494, DE-AC05–76RL01830)
- U.S. Department of Agriculture (2011-67009-30137, DE-FC02-07ER64494)
- Michigan State University
- National Institute of Food and Agriculture (DE-FC02-07ER64494, #2011-67009-30137)
- Office of Science (FC02-07ER64494)
- Office of Energy Efficiency and Renewable Energy
- College of Engineering, Michigan State University
- Great Lakes Bioenergy Research Center (DE‐FC02‐07ER64494)
- Division of Environmental Biology (1027253)
- Biomass Program
- Biological and Environmental Research (DE-AC05-76 RL01830, DE-FC02-07ER64494)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Keywords
- perennial energy crops, switchgrass, marginal land, ecosystem services, maize, methanotrophic bacteria, methane uptake, arthropod diversity, bird diversity, pollination, pest suppression, landscape context, bioenergy policy
- MeSH terms
- Animals, Conservation of Energy Resources, Poaceae, Ecosystem, Biodiversity
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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