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

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
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引用次数: 0

Abstract

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.

Abstract Image

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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.
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