Global assessment of ecoregion intactness

UQ eSpace Pub Date : 1900-01-01 DOI:10.14264/uql.2019.773
H. Beyer, O. Venter, H. Grantham, J. Watson
{"title":"Global assessment of ecoregion intactness","authors":"H. Beyer, O. Venter, H. Grantham, J. Watson","doi":"10.14264/uql.2019.773","DOIUrl":null,"url":null,"abstract":"This datasets consists of: (1) intactness scores for the world's terrestrial ecoregions in 1993 and 2009, recorded as a comma delimited text file, and as attribute fields in a terrestrial ecoregion polygon shapefile (Ecoregions2017_intactness.shp); and (2) two raster datasets representing derived intactness metrics (Q' and delta Q') for terrestrial areas at a 1 km resolution. To reduce file sizes the values in both rasters are multiplied by 1,000 and rounded to integers. Users should divide the values in each raster by 1,000 to recover the original scale of these variables. All spatial data uses the Mollweide projection.The spatial ecoregion data is sourced from Dinerstein et al 2017 BioScience DOI: 10.1093/biosci/bix014, with data available for download at: https://ecoregions2017.appspot.comFields in the tabular data include: Q1993_LL, Q1993, Q1993_UL, Q2009_LL, Q2009, Q2009_UL: intactess metric for 1993 and 2009, including estimates of the lower and upper limits (LL and UL respectively) based on alternative parameterisations of the distance scaling parameter. The fields Q1993 and Q2009 are likely to be of greatest relevance to most users.NCELLS: the number of cells used in the intactness calculation.PRHAB1993, PRHAB2009: estimates of the proportion of habitat in 1993 and 2009 using a binary interpretation of habitat (used to evaluate the properties of the intactness metric relative to more traditional measures).PLOTCAT: Nine categories of change in ecoregion intactness:2, 1, 3: High proportion of habitat with degrading, stable or increasing intactness respectively5, 4, 6: Moderate proportion of habitat with degrading, stable or increasing intactness respectively8, 7, 9: Low proportion of habitat with degrading, stable or increasing intactness respectivelySee the Beyer et al 2019 Conservation Letters paper for further details.","PeriodicalId":243136,"journal":{"name":"UQ eSpace","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"UQ eSpace","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14264/uql.2019.773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This datasets consists of: (1) intactness scores for the world's terrestrial ecoregions in 1993 and 2009, recorded as a comma delimited text file, and as attribute fields in a terrestrial ecoregion polygon shapefile (Ecoregions2017_intactness.shp); and (2) two raster datasets representing derived intactness metrics (Q' and delta Q') for terrestrial areas at a 1 km resolution. To reduce file sizes the values in both rasters are multiplied by 1,000 and rounded to integers. Users should divide the values in each raster by 1,000 to recover the original scale of these variables. All spatial data uses the Mollweide projection.The spatial ecoregion data is sourced from Dinerstein et al 2017 BioScience DOI: 10.1093/biosci/bix014, with data available for download at: https://ecoregions2017.appspot.comFields in the tabular data include: Q1993_LL, Q1993, Q1993_UL, Q2009_LL, Q2009, Q2009_UL: intactess metric for 1993 and 2009, including estimates of the lower and upper limits (LL and UL respectively) based on alternative parameterisations of the distance scaling parameter. The fields Q1993 and Q2009 are likely to be of greatest relevance to most users.NCELLS: the number of cells used in the intactness calculation.PRHAB1993, PRHAB2009: estimates of the proportion of habitat in 1993 and 2009 using a binary interpretation of habitat (used to evaluate the properties of the intactness metric relative to more traditional measures).PLOTCAT: Nine categories of change in ecoregion intactness:2, 1, 3: High proportion of habitat with degrading, stable or increasing intactness respectively5, 4, 6: Moderate proportion of habitat with degrading, stable or increasing intactness respectively8, 7, 9: Low proportion of habitat with degrading, stable or increasing intactness respectivelySee the Beyer et al 2019 Conservation Letters paper for further details.
生态区域完整性的全球评估
该数据集包括:(1)1993年和2009年世界陆地生态区的完整性分数,记录为逗号分隔的文本文件,以及陆地生态区多边形shapefile (ecoregions2017_intacness .shp)中的属性字段;(2)两个栅格数据集,表示1公里分辨率下陆地区域的导出完整性度量(Q'和Q')。为了减小文件大小,两个光栅中的值都乘以1000并四舍五入为整数。用户应将每个栅格中的值除以1000,以恢复这些变量的原始比例。所有空间数据都使用Mollweide投影。空间生态区域数据来自Dinerstein等人2017年的《生物科学》DOI: 10.1093/biosci/bix014,数据可在:https://ecoregions2017.appspot.comFields下载,表格数据包括:Q1993_LL, Q1993, Q1993_UL, Q2009_LL, Q2009, Q2009_UL: 1993年和2009年的完整度量,包括基于距离缩放参数的替代参数化对下限和上限(分别为LL和UL)的估计。字段Q1993和Q2009可能与大多数用户最相关。NCELLS:完整性计算中使用的单元格数。PRHAB1993、PRHAB2009:对1993年和2009年使用栖息地二元解释的栖息地比例的估计(用于评估相对于更传统的测量方法的完整性度量的特性)。图1:生态区域完整性变化的9个类别:2,1,3:栖息地退化、稳定或增加的比例分别为高;5,4,6:栖息地退化、稳定或增加的比例分别为中等;8,7,9:栖息地退化、稳定或增加的比例分别为低。详见Beyer et al . 2019 Conservation Letters论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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