Evidence map›Paper›PMID 41326494›Full record

ArticleScientific reports2025

Analysis of biodiversity distribution patterns around the plateau lake based on the MaxEnt and InVest models.

Pinjie Luo, Yijiao Li, Hua Xu, Yuhong Song

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

4 authors.

Pinjie LuoCollege of Landscape Architecture and Horticulture Science, Southwest Forestry University, Kunming, 650224, China.
Yijiao LiSchool of Architecture and Civil Engineering, Shenyang University, Shenyang, 110044, China.
Hua XuAcademy of Art and Design, Bengbu University, Bengbu, 233030, Anhui, China.
Yuhong SongCollege of Landscape Architecture and Horticulture Science, Southwest Forestry University, Kunming, 650224, China. songyuhong@swfu.edu.cn.

Funding

the National Natural Science Foundation of China 51968064the Science Research Fund Project of the Yunnan Provincial Department of Education 2024Y589Yunnan Province High-level Talents Training Support Program YNWR-CYJS-2020-022
6 · The paper itself

Abstract

The increasing fragmentation of habitats is accelerating biodiversity loss, particularly in high-altitude cities’ ecologically fragile green spaces (GSs). The scientific assessment of the distribution patterns of biodiversity (DPOB) in the Circum-Erhai Lake region (CELR) is of great significance for sustainability. We identified GSs using fractional vegetation coverage. The InVEST habitat quality (HQ) module assessed HQ, while GIS evaluated ecological sensitivity (ES). Subsequently, using HQ and ES as environmental variables, we applied the MaxEnt Model to predict the suitable habitat of key species. Finally, HQ, ES, and species distribution results served as proxies for biodiversity to predict DPOB. Key findings: (1) CELR’s overall biodiversity is relatively high, showing a “high in forests, low along Erhai shores” pattern. (2) Core GSs are scarce (1.36% of total GS area). (3) The GSs with high quality ecosystem dominate in high-altitude forests (70.60%). (4) The GSs suitable for key species (18.87%) are mainly distributed in flat areas on the west bank of Erhai Lake. (5) The GSs of non suitable area cover 219.23 km²(20.19%). Based on the ecosystem and biodiversity levels, we constructed a hierarchical planning framework for GSs around the Erhai Lake area. The findings of this study contribute to identifying priority areas for biodiversity conservation and facilitate the development of sustainable ecological management strategies.

Indexed as

BiodiversityLakesModels, TheoreticalAltitudeChinaConservation of Natural ResourcesEcosystemBiodiversityCircum-Erhai lake region (CELR)Distribution patternGreen spaces (GSs)Sustainable development

Identifiers

PMID41326494
PMCPMC12769768

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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.