Evidence map›Paper›PMID 35084804›Full record

ArticleEcological applications : a publication of the Ecological Society of America2022

Climate change, land cover change, and overharvesting threaten a widely used medicinal plant in South Africa.

Vivienne P Groner, Owen Nicholas, Tafadzwanashe Mabhaudhi, Rob Slotow, H Reşit Akçakaya, Georgina M Mace, Richard G Pearson

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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  9. Simulation ofFrontiers in plant science · 2024
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  13. Climate change, land cover change, and overharvesting threaten a widely used medicinal plant in South Africa.Ecological applications : a publication of the Ecological Society of America · 2022
    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

7 authors.

Vivienne P GronerDepartment of Genetics, Evolution and Environment, Centre for Biodiversity and Environment Research, University College London, London, UK.ORCID 0000-0002-4098-7132
Owen NicholasDepartment of Statistical Science, University College London, London, UK.
Tafadzwanashe MabhaudhiCentre for Transformative Agricultural and Food Systems, School of Agricultural, Earth and Environmental Sciences, University of Kwazulu-Natal, Pietermaritzburg, South Africa.
Rob SlotowCentre for Transformative Agricultural and Food Systems, School of Life Sciences, University of Kwazulu-Natal, Pietermaritzburg, South Africa.
H Reşit AkçakayaDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, New York, USA.
Georgina M MaceDepartment of Genetics, Evolution and Environment, Centre for Biodiversity and Environment Research, University College London, London, UK.
Richard G PearsonDepartment of Genetics, Evolution and Environment, Centre for Biodiversity and Environment Research, University College London, London, UK.

Funding

Wellcome TrustWellcome Trust 205200/Z/16/Z
6 · The paper itself

Abstract

Medicinal plants contribute substantially to the well-being of people in large parts of the world, providing traditional medicine and supporting livelihoods from trading plant parts, which is especially significant for women in low-income communities. However, the availability of wild medicinal plants is increasingly threatened; for example, the Natal Lily (Clivia miniata), which is one of the most widely traded plants in informal medicine markets in South Africa, lost over 40% of individuals over the last 90 years. Understanding the species' response to individual and multiple pressures is essential for prioritizing and planning conservation actions. To gain this understanding, we simulated the future range and abundance of C. miniata by coupling Species Distribution Models with a metapopulation model (RAMAS-GIS). We contrasted scenarios of climate change (RCP2.6 vs. RCP8.5), land cover change (intensification vs. expansion), and harvesting (only juveniles vs. all life-stages). All our scenarios pointed to continuing declines in suitable habitat and abundance by the 2050s. When acting independently, climate change, land cover change, and harvesting each reduced the projected abundance substantially, with land cover change causing the most pronounced declines. Harvesting individuals from all life stages affected the projected metapopulation size more negatively than extracting only juveniles. When the three pressures acted together, declines of suitable habitat and abundance accelerated but uncertainties were too large to identify whether pressures acted synergistically, additively, or antagonistically. Our results suggest that conservation should prioritize the protection of suitable habitat and ensure sustainable harvesting to support a viable metapopulation under realistic levels of climate change. Inadequate management of C. miniata populations in the wild will likely have negative consequences for the well-being of people relying on this ecosystem service, and we expect there may be comparable consequences relating to other medicinal plants in different parts of the world.

Indexed as

Climate ChangeAmaryllidaceaeConservation of Natural ResourcesEcosystemFemaleHumansMedicine, TraditionalPlants, MedicinalPovertySouth Africaclimate changeClivia miniataconservationecosystem servicesland cover changemedicinal plantsmetapopulation modeloverharvestingSouth Africa

Identifiers

PMID35084804
PMCPMC9286539

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.