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Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...

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Updated: Sep 28, 2025

Standard Operating Procedure for Lyssavirus Surveillance of the Bat Population in Taiwan

Standard Operating Procedure for Lyssavirus Surveillance of the Bat Population in Taiwan

Published on: August 27, 2019

Range map datasets for terrestrial vertebrates across Taiwan.

An-Yu Chang¹, Wan-Jyun Chen^1,2, Rui-Yang He³

¹Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.

|March 29, 2022

Summary

This summary is machine-generated.

Accurate species distribution maps for Taiwan

Keywords:

Biodiversity hotspot Conservation planning Open datasets Spatial conservation prioritization Spatial geographic range Species distribution models

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Area of Science:

Biodiversity research
Conservation science
Geographic Information Systems (GIS)

Background:

Effective conservation relies on precise species distribution data.
Existing maps often lack resolution or accuracy for conservation needs.
Integrating diverse data sources is crucial for comprehensive species mapping.

Purpose of the Study:

To develop a novel workflow for integrating species distribution models and expert knowledge.
To create high-resolution, up-to-date distribution maps for Taiwanese terrestrial vertebrates.
To identify biodiversity hotspots and conservation priority areas.

Main Methods:

Utilized a unified modeling process combining species distribution modeling and expert consultation.
Employed the MaxEnt algorithm with aggregated open datasets on species occurrence and environmental factors.
Systematically mapped current distributions for 379 terrestrial vertebrate species in Taiwan.

Main Results:

Generated accurate, high-resolution distribution maps for 379 terrestrial vertebrate species.
Improved understanding of geographic distribution for 61% of Taiwan's vertebrate species.
Enabled identification of key areas for vertebrate diversity and conservation prioritization.

Conclusions:

The novel workflow successfully integrates diverse data for accurate species mapping.
The generated dataset significantly enhances conservation planning in Taiwan.
This approach provides a scalable model for improving species distribution data globally.