Evidence map›Paper›PMID 37923751›Full record

ArticleScientific reports2023

Distribution of sika deer (Cervus nippon) and the bioclimatic impact on their habitats in South Korea.

Thakur Dhakal, Tae-Su Kim, Seong-Hyeon Kim, Shraddha Tiwari, Jun-Young Kim, Gab-Sue Jang, Do-Hun Lee

Abstract 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. High prevalence ofFrontiers in veterinary science · 2025
    Article
  4. 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.

Thakur DhakalDepartment of Life Sciences, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Tae-Su KimDepartment of Life Sciences, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Seong-Hyeon KimDepartment of Life Sciences, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Shraddha TiwariCollege of Veterinary Medicine, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Jun-Young KimDepartment of Life Sciences, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Gab-Sue JangDepartment of Life Sciences, Yeungnam University, Gyeongsan, 38541, Republic of Korea. sunside@ynu.ac.kr.
Do-Hun LeeNational Institute of Ecology, Seocheon, 33657, Republic of Korea. dhl0407@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive species and climate change are primary factors influencing biodiversity, and examining the behavior of invasive species is essential for effective conservation management. Here, we report the global distribution of the sika deer (Cervus nippon) based on locations reported in published literature (Google Scholar), the Global Biodiversity Information Facility (GBIF) database, and the International Union for Conservation of Nature report. We used the maximum entropy (Maxent) model to examine the impact of climate change on sika deer habitats in South Korea based on GBIF occurrence data and WorldClim bioclimatic variables. Habitat suitability analysis was performed using the Maxent model under Representative Concentration Pathways (RCPs) 4.5 and 8.5 (for predicted climatic conditions in both 2050 and 2070) to project the effects of different climate change scenarios on South Korean sika deer habitats. We identified that the sika deer is distributed in 39 countries worldwide. Due to climate change effects, South Korean sika deer habitats will decline by approximately 24.98% and 20.63% (under RCP 4.5) and by 50.51% and 57.35% (under RCP 8.5) by 2050 and 2070, respectively. Our findings shed light on sika deer ecology and provide reference data for future conservation management strategies and policy design.

Indexed as

DeerAnimalsBiodiversityRepublic of Korea

Identifiers

PMID37923751
PMCPMC10624661

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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.