Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 317

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

A Manifesto for Abundant Futures

Collard, Rosemary-Claire, Dempsey, Jessica, Sundberg, Juanita·2015·Annals of the Association of American Geographers

Abstract

The concept of the Anthropocene is creating new openings around the question of how humans ought to intervene in the environment. In this article, we address one arena in which the Anthropocene is prompting a sea change: conservation. The path emerging in mainstream conservation is, we argue, neoliberal and postnatural. We propose an alternative path for multispecies abundance. By abundance we mean more diverse and autonomous forms of life and ways of living together. In considering how to enact multispecies worlds, we take inspiration from Indigenous and peasant movements across the globe as well as decolonial and postcolonial scholars. With decolonization as our principal political sensibility, we offer a manifesto for abundance and outline political strategies to reckon with colonial-capitalist ruins, enact pluriversality rather than universality, and recognize animal autonomy. We advance these strategies to support abundant socioecological futures.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/00045608.2014.973007

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 41 references

Cited by

See all 317

Metadata

Authors
Collard, R.-C., Dempsey, J., & Sundberg, J.
Venue
Annals of the Association of American Geographers
Published
2014-12-06
Volume
105
Issue
2
Pages
322-330
ISSN
  • 0004-5608 (ISSN-L)
  • 1467-8306
OpenAlex
W2062258337
Cited by
317
References
41
FWCI
74.95
Type
journal article
Language
en
Open access
closed

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Manifesto for Abundant Futures. https://app.cochat.ai/papers/10.1080/00045608.2014.973007
The paper
Collard, R.-C., Dempsey, J., & Sundberg, J. (2015). A Manifesto for Abundant Futures. Annals of the Association of American Geographers. https://doi.org/10.1080/00045608.2014.973007

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.