Evidence map›Paper›PMID 40076004›Full record

ArticleAnimals : an open access journal from MDPI2025

Temporal and Spatial Dynamics of Rodent Species Habitats in the Ordos Desert Steppe, China.

Rui Hua, Qin Su, Jinfu Fan, Liqing Wang, Linbo Xu, Yuchuang Hui, Miaomiao Huang, Bobo Du, Yanjun Tian, Yuheng Zhao and 1 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Rui HuaInner Mongolia Key Laboratory of Grassland Protection Ecology, Grassland Research Institute, Chinese Academy of Agricultural Science, Hohhot 010010, China.ORCID 0000-0001-5879-1288
Qin SuOrdos Forestry and Grassland Bureau, Ordos 017000, China.
Jinfu FanOrdos Forestry and Grassland Bureau, Ordos 017000, China.
Liqing WangInner Mongolia Key Laboratory of Grassland Protection Ecology, Grassland Research Institute, Chinese Academy of Agricultural Science, Hohhot 010010, China.
Linbo XuInner Mongolia Key Laboratory of Grassland Protection Ecology, Grassland Research Institute, Chinese Academy of Agricultural Science, Hohhot 010010, China.
Yuchuang HuiInner Mongolia Key Laboratory of Grassland Protection Ecology, Grassland Research Institute, Chinese Academy of Agricultural Science, Hohhot 010010, China.
Miaomiao HuangInner Mongolia Key Laboratory of Grassland Protection Ecology, Grassland Research Institute, Chinese Academy of Agricultural Science, Hohhot 010010, China.
Bobo DuInner Mongolia Key Laboratory of Grassland Protection Ecology, Grassland Research Institute, Chinese Academy of Agricultural Science, Hohhot 010010, China.
Yanjun TianOtog Banner Forestry and Grassland Bureau, Ordos 016100, China.
Yuheng ZhaoOtog Front Banner Forestry and Grassland Ecological Conservation Center, Ordos 016100, China.
ManduriwaOtog Front Banner Forestry and Grassland Ecological Conservation Center, Ordos 016100, China.

Funding

National Natural Science Foundation of China 32172434
6 · The paper itself

Abstract

Climate change is driving the restructuring of global biological communities. As a species sensitive to climate change, studying the response of small rodents to climate change is helpful to indirectly understand the changes in ecology and biodiversity in a certain region. Here, we use the MaxEnt (maximum entropy) model to predict the distribution patterns, main influencing factors, and range changes of various small rodents in the Ordos desert steppe in China under different climate change scenarios in the future (2050s: average for 2041-2060). The results show that when the parameters are FC = LQHPT, and RM = 4, the MaxEnt model is optimal and AUC = 0.833. We found that NDVI (normalized difference vegetation index), Bio 12 (annual precipitation), and TOC (total organic carbon) are important driving factors affecting the suitability of the small rodent habitat distribution in the region. At the same time, the main influencing factors were also different for different rodent species. We selected 4 dominant species for analysis and found that, under the situation of future climate warming, the high-suitability habitat area of

Indexed as

bioclimatic variablesclimate changehabitat suitabilitymaxent modelnormalized difference vegetation index

Identifiers

PMID40076004
PMCPMC11899341

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.