Evidence map›Paper›PMID 37738354›Full record

ArticleScience advances2023

Contrasting effects of bioenergy crops on biodiversity.

Nathan L Haan, Gian N M Benucci, Cynthia M Fiser, Gregory Bonito, Douglas A Landis

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Nathan L HaanDepartment of Entomology, Michigan State University, East Lansing, MI, USA.ORCID 0000-0003-1713-7911
Gian N M BenucciGreat Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA.ORCID 0000-0003-1589-947X
Cynthia M FiserDepartment of Entomology, Michigan State University, East Lansing, MI, USA.ORCID 0000-0002-4071-5057
Gregory BonitoGreat Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI, USA.ORCID 0000-0002-7262-8978
Douglas A LandisDepartment of Entomology, Michigan State University, East Lansing, MI, USA.
Great Lakes Bioenergy Research Center · USMichigan State University · USUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Crops, AgriculturalPoaceaeAgricultureAnimalsBiodiversityCommerce

Identifiers

PMID37738354
PMCPMC10516493
OpenAlexW4386951981

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.