Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables

作     者：Mateus Dantas de Paula Marta Gómez Giménez Aidin Niamir Martin Thurner Thomas Hickler 

作者机构：Biodiversity and Climate Research Centre(BiK-F)Senckenberg Gesellschaft für NaturforschungFrankfurt am MainGermany Department of Ecological ModellingUFZ—Helmholtz Centre for Environmental Research LeipzigGermany 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2020年第13卷第2期

页      面：262-277页

核心收录：

学科分类：1002[医学-临床医学] 0708[理学-地球物理学] 100214[医学-肿瘤学] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 10[医学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors would like to acknowledge the European Commission‘Horizon 2020 Program’that funded ERA-PLANET/GEOEssential(Grant Agreement no.689443)project.H2020 Societal Challenges. 

主　　题：Dynamic Global Vegetation Modelling remote sensing ecosystem dynamics Copernicus Programme Essential Biodiversity Variables 

摘      要：Global,fast and accessible monitoring of biodiversity is one of the main pillars of the efforts undertaken in order to revert it loss.The Group on Earth Observations Biodiversity Observation Network(GEO-BON)provided an expert-based definition of the biological properties that should be monitored,the Essential Biodiversity Variables(EBVs).Initiatives to provide indicators for EBVs rely on global,freely available remote sensing(RS)products in combination with empirical models and field data,and are invaluable for decision making.In this study,we provide alternatives for the expansion and improvement of the EBV indicators,by suggesting current and future data from the European Space Agencýs COPERNICUS and explore the potential of RS-integrated Dynamic Global Vegetation Models(DGVMs)for the estimation of EBVs.Our review found that mainly due to the inclusion of the Sentinel constellation,Copernicus products have similar or superior potential for EBV indicator estimation in relation to their NASA counterparts.DGVMs simulate the ecosystem level EBVs(ecosystem function and structure),and when integrated with remote sensing data have great potential to not only offer improved estimation of current states but to provide projection of ecosystem impacts.We suggest that focus on producing EBV relevant outputs should be a priority within the research community,to support biodiversity preservation efforts.