Data · dataset · 2026
MaxEnt Batch Optimization and Future Climate Projection Scripts for Endemic Plant Species on the Qinghai-Tibet Plateau
Listed in ScienceDB
This dataset contains two MaxEnt batch processing scripts developed in Windows Batch language for species distribution modeling of 2,466 endemic plant species on the Qinghai-Tibet Plateau.
Description
The scripts are built upon MaxEnt v.3.4.4 (Phillips et al., 2006) and enable automated model optimization and spatial distribution projection under future climate scenarios.MaxEnt Batch Optimization Script: Used during the model parameter optimization phase.
The script iterates over 5 feature class combinations (L, LQ, LQH, LQHP, LQHPT) and 4 regularization multipliers (beta = 1, 2, 3, 4) with a fixed number of iterations (500), generating multiple candidate models for each species. These models are subsequently screened based on AUC, TSS, and OR₁₀ to identify the optimal parameter set.MaxEnt Batch Projection Script: Used during the future climate projection phase. The script reads pre-selected optimal parameters (beta, iterations, feature combination), fits the model using current climatic data, and projects species distributions onto 20 future climate scenarios, encompassing 5 CMIP6 global climate models (BCC-CSM2-MR, IPSL-CM6A-LR, MRI-ESM2-0, UKESM1-0-LL, MPI-ESM1-2-HR), 2 shared socioeconomic pathways (SSP1-2.6, SSP5-8.5), and 2 time periods (2021–2040, 2081–2100).
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An intelligent cleanup routine is integrated to retain only essential output files, including maxentResults.csv and *_avg.asc average probability surfaces.These scripts provide a reproducible and scalable computational workflow for conservation priority identification, protected area effectiveness evaluation, and climate change vulnerability assessment of endemic flora on the Qinghai-Tibet Plateau.
The dataset is openly accessible under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.34058 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Evolutionary biology 70%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.34058 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3104 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |