Evidence map›Paper›PMID 40092905›Full record

ArticleEcology and evolution2025

Adaptive Management Based on the Habitat Change of

Bin Feng, Yunyun Zhang, Yunfeng Huang, Huabing Dai, Chao Yang, Chengling Yang, Kedao Lai

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Bin FengGuangxi Institute of Chinese Medicine & Pharmaceutical Science/Guangxi Key Laboratory of Chinese Medicine Quality Standard Research Nanning Guangxi China.ORCID https://orcid.org/0000-0003-0387-3635
Yunyun ZhangGuangxi Institute of Chinese Medicine & Pharmaceutical Science/Guangxi Key Laboratory of Chinese Medicine Quality Standard Research Nanning Guangxi China.
Yunfeng HuangGuangxi Institute of Chinese Medicine & Pharmaceutical Science/Guangxi Key Laboratory of Chinese Medicine Quality Standard Research Nanning Guangxi China.
Huabing DaiGuangxi Forest Inventory & Planning Institute Nanning Guangxi China.
Chao YangGuangxi Institute of Chinese Medicine & Pharmaceutical Science/Guangxi Key Laboratory of Chinese Medicine Quality Standard Research Nanning Guangxi China.
Chengling YangGuangxi Forest Inventory & Planning Institute Nanning Guangxi China.
Kedao LaiGuangxi Institute of Chinese Medicine & Pharmaceutical Science/Guangxi Key Laboratory of Chinese Medicine Quality Standard Research Nanning Guangxi China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapidly growing demand for medicinal plants globally, the wild medicinal plant population is experiencing a sharp decline. Climate and land use change are two significant forces affecting biodiversity. Climate change impact assessment without changes in land use should mischaracterize medicinal plants' vulnerability and spatiotemporal distribution. Previous research on medicinal plants' potential distribution area by species distribution model (SDM) has focused more on their ecological suitability. However, whether the land-use types within the suitable distribution area (SDA) meet the species' survival requirements is often overlooked. These imbalances place significant limitations upon the ability to guide anticipative conservation and sustainable utilization actions and weigh the future outcomes of different policy or management options.

Indexed as

Cibotium barometzclimate changeland use changesuitable distribution areasuitable habitat

Identifiers

PMID40092905
PMCPMC11906282

What Socratic 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 Socratic graph.