陆地物种和生态系统威胁的标准化全球空间数据

IF 6.3 1区 环境科学与生态学 Q1 ECOLOGY
Vasco V. Branco, César Capinha, Jorge Rocha, Luís Correia, Pedro Cardoso
{"title":"陆地物种和生态系统威胁的标准化全球空间数据","authors":"Vasco V. Branco,&nbsp;César Capinha,&nbsp;Jorge Rocha,&nbsp;Luís Correia,&nbsp;Pedro Cardoso","doi":"10.1111/geb.13949","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Motivation</h3>\n \n <p>SPECTRE is an open-source database containing standardised spatial data on global environmental and anthropogenic variables that are potential threats to terrestrial species and ecosystems. Its goal is to allow users to swiftly access spatial data on multiple threats at a resolution of 30-arc seconds for all terrestrial areas. Following the standard set by Worldclim, these data allow full comparability and ease of use under common statistical frameworks for global change studies, species distribution modelling, threat assessments, quantification of ecosystem services and disturbance, among multiple other uses. A web user interface, a persistent online repository and an accompanying R package with functions for downloading and manipulating data are provided.</p>\n </section>\n \n <section>\n \n <h3> Main Types of Variable Contained</h3>\n \n <p>SPECTRE is a GIS product, currently with 21 geoTiff raster layers with an approximate 1 × 1 km resolution.</p>\n </section>\n \n <section>\n \n <h3> Spatial Location and Grain</h3>\n \n <p>Global (longitude −180–180, latitude −60–90) terrestrial database with a resolution of 30-arc seconds (approximately 1 × 1 km at the equator), converted from global sources of different original spatial grain, from 0.03 × 0.03to 10 × 10 km.</p>\n </section>\n \n <section>\n \n <h3> Time Period and Grain</h3>\n \n <p>The known time period for all sources present in SPECTRE varies from 1976 to 2020 (all but three after 1990), with a minimum temporal grain of 1 year.</p>\n </section>\n \n <section>\n \n <h3> Major Taxa and Level of Measurement</h3>\n \n <p>Non-taxa-specific.</p>\n </section>\n \n <section>\n \n <h3> Software Format</h3>\n \n <p>geoTiff and R.</p>\n </section>\n </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 1","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13949","citationCount":"0","resultStr":"{\"title\":\"SPECTRE: Standardised Global Spatial Data on Terrestrial SPecies and ECosystems ThREats\",\"authors\":\"Vasco V. Branco,&nbsp;César Capinha,&nbsp;Jorge Rocha,&nbsp;Luís Correia,&nbsp;Pedro Cardoso\",\"doi\":\"10.1111/geb.13949\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Motivation</h3>\\n \\n <p>SPECTRE is an open-source database containing standardised spatial data on global environmental and anthropogenic variables that are potential threats to terrestrial species and ecosystems. Its goal is to allow users to swiftly access spatial data on multiple threats at a resolution of 30-arc seconds for all terrestrial areas. Following the standard set by Worldclim, these data allow full comparability and ease of use under common statistical frameworks for global change studies, species distribution modelling, threat assessments, quantification of ecosystem services and disturbance, among multiple other uses. A web user interface, a persistent online repository and an accompanying R package with functions for downloading and manipulating data are provided.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Main Types of Variable Contained</h3>\\n \\n <p>SPECTRE is a GIS product, currently with 21 geoTiff raster layers with an approximate 1 × 1 km resolution.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Spatial Location and Grain</h3>\\n \\n <p>Global (longitude −180–180, latitude −60–90) terrestrial database with a resolution of 30-arc seconds (approximately 1 × 1 km at the equator), converted from global sources of different original spatial grain, from 0.03 × 0.03to 10 × 10 km.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Time Period and Grain</h3>\\n \\n <p>The known time period for all sources present in SPECTRE varies from 1976 to 2020 (all but three after 1990), with a minimum temporal grain of 1 year.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Major Taxa and Level of Measurement</h3>\\n \\n <p>Non-taxa-specific.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Software Format</h3>\\n \\n <p>geoTiff and R.</p>\\n </section>\\n </div>\",\"PeriodicalId\":176,\"journal\":{\"name\":\"Global Ecology and Biogeography\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13949\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Ecology and Biogeography\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/geb.13949\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Ecology and Biogeography","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/geb.13949","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

SPECTRE是一个开源数据库,包含对陆地物种和生态系统构成潜在威胁的全球环境和人为变量的标准化空间数据。它的目标是允许用户以30角秒的分辨率快速访问所有陆地区域的多个威胁的空间数据。根据Worldclim制定的标准,这些数据在全球变化研究、物种分布建模、威胁评估、生态系统服务和干扰量化等多种用途的共同统计框架下具有充分的可比性和易用性。提供了一个web用户界面,一个持久的在线存储库和附带的R包,其中包含下载和操作数据的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

SPECTRE: Standardised Global Spatial Data on Terrestrial SPecies and ECosystems ThREats

SPECTRE: Standardised Global Spatial Data on Terrestrial SPecies and ECosystems ThREats

Motivation

SPECTRE is an open-source database containing standardised spatial data on global environmental and anthropogenic variables that are potential threats to terrestrial species and ecosystems. Its goal is to allow users to swiftly access spatial data on multiple threats at a resolution of 30-arc seconds for all terrestrial areas. Following the standard set by Worldclim, these data allow full comparability and ease of use under common statistical frameworks for global change studies, species distribution modelling, threat assessments, quantification of ecosystem services and disturbance, among multiple other uses. A web user interface, a persistent online repository and an accompanying R package with functions for downloading and manipulating data are provided.

Main Types of Variable Contained

SPECTRE is a GIS product, currently with 21 geoTiff raster layers with an approximate 1 × 1 km resolution.

Spatial Location and Grain

Global (longitude −180–180, latitude −60–90) terrestrial database with a resolution of 30-arc seconds (approximately 1 × 1 km at the equator), converted from global sources of different original spatial grain, from 0.03 × 0.03to 10 × 10 km.

Time Period and Grain

The known time period for all sources present in SPECTRE varies from 1976 to 2020 (all but three after 1990), with a minimum temporal grain of 1 year.

Major Taxa and Level of Measurement

Non-taxa-specific.

Software Format

geoTiff and R.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Global Ecology and Biogeography
Global Ecology and Biogeography 环境科学-生态学
CiteScore
12.10
自引率
3.10%
发文量
170
审稿时长
3 months
期刊介绍: Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信