Evidence map›Paper›PMID 36813819›Full record

ArticleScientific reports2023

Pathways of degradation in rangelands in Northern Tanzania show their loss of resistance, but potential for recovery.

Joris H Wiethase, Rob Critchlow, Charles Foley, Lara Foley, Elliot J Kinsey, Brenda G Bergman, Boniface Osujaki, Zawadi Mbwambo, Paul Baran Kirway, Kelly R Redeker and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

4 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Development of genetically improved tropical-adapted dairy cattle.Animal frontiers : the review magazine of animal agriculture · 2023
    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

12 authors at 5 institutions in 2 countries.

Joris H Wiethase *Department of Biology, University of York, York, YO10 5DD, UK. jhw538@york.ac.uk.ORCID 0000-0003-2008-1613
Rob Critchlow *Department of Biology, University of York, York, YO10 5DD, UK.
Charles FoleyTanzania Conservation Research Program, Lincoln Park Zoo, Chicago, IL, 60614, USA.
Lara FoleyTanzania Conservation Research Program, Lincoln Park Zoo, Chicago, IL, 60614, USA.
Elliot J KinseyThe Nature Conservancy, Arlington, VA, 22203, USA.
Brenda G BergmanThe Nature Conservancy, Arlington, VA, 22203, USA.
Boniface Osujaki *
Zawadi MbwamboTanzania Program, Zoological Society of London, London, NW1 4RY, UK.
Paul Baran Kirway *
Kelly R RedekerDepartment of Biology, University of York, York, YO10 5DD, UK.ORCID 0000-0002-1903-2286
Susan E HartleySchool of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK.
Colin M BealeDepartment of Biology, University of York, York, YO10 5DD, UK.ORCID 0000-0002-2960-5666
University of York · GBLincoln Park Zoo · USThe Nature Conservancy · USUniversity of Sheffield · GBZoological Society of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Semiarid rangelands are identified as at high risk of degradation due to anthropogenic pressure and climate change. Through tracking timelines of degradation we aimed to identify whether degradation results from a loss of resistance to environmental shocks, or loss of recovery, both of which are important prerequisites for restoration. Here we combined extensive field surveys with remote sensing data to explore whether long-term changes in grazing potential demonstrate loss of resistance (ability to maintain function despite pressure) or loss of recovery (ability to recover following shocks). To monitor degradation, we created a bare ground index: a measure of grazeable vegetation cover visible in satellite imagery, allowing for machine learning based image classification. We found that locations that ended up the most degraded tended to decline in condition more during years of widespread degradation but maintained their recovery potential. These results suggest that resilience in rangelands is lost through declines in resistance, rather than loss of recovery potential. We show that the long-term rate of degradation correlates negatively with rainfall and positively with human population and livestock density, and conclude that sensitive land and grazing management could enable restoration of degraded landscapes, given their retained ability to recover.

Indexed as

Conservation of Natural ResourcesEcosystemAnimalsHumansLivestockSatellite ImageryTanzania

Identifiers

PMID36813819
PMCPMC9946995
OpenAlexW4321496028

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.