Evidence map›Paper›PMID 29867252›Full record

ArticleBioscience2018

From Bottleneck to Breakthrough: Urbanization and the Future of Biodiversity Conservation.

Eric W Sanderson, Joseph Walston, John G Robinson

Abstract read
In one paragraph

Article in Bioscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The Anthropocene condition: evolving through social-ecological transformations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. People have shaped most of terrestrial nature for at least 12,000 years.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Article
  10. Can behavioural ecologists help establish protected areas?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    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

3 authors.

Eric W SandersonLiving Landscapes Program, Wildlife Conservation Society, Bronx, US.
Joseph WalstonGlobal Conservation Programs, Wildlife Conservation Society, Bronx, US.
John G RobinsonLiving Landscapes Program, Wildlife Conservation Society, Bronx, US.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the first time in the Anthropocene, the global demographic and economic trends that have resulted in unprecedented destruction of the environment are now creating the necessary conditions for a possible renaissance of nature. Drawing reasonable inferences from current patterns, we can predict that 100 years from now, the Earth could be inhabited by between 6 and 8 billion people, with very few remaining in extreme poverty, most living in towns and cities, and nearly all participating in a technologically driven, interconnected market economy. Building on the scholarship of others in demography, economics, sociology, and conservation biology, here, we articulate a theory of social-environmental change that describes the simultaneous and interacting effects of urban lifestyles on fertility, poverty alleviation, and ideation. By recognizing the shifting dynamics of these macrodrivers, conservation practice has the potential to transform itself from a discipline managing declines ("bottleneck") to a transformative movement of recovery ("breakthrough").

Indexed as

citiesconsumptiondemographic transitionnatural resourcespoverty alleviation

Identifiers

PMID29867252
PMCPMC5972570

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.