Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling

被引：700
作者：
Assis, Jorge [1 ]
Tyberghein, Lennert [2 ]
Bosch, Samuel [2 ,3 ]
Verbruggen, Heroen [4 ]
Serrao, Ester A. [1 ]
De Clerck, Olivier [3 ]
机构：
[1] Univ Algarve, CCMAR CIMAR, Ctr Marine Sci, Campus Gambelas, P-8005139 Faro, Portugal
[2] Flanders Marine Inst VLIZ, InnovOcean Site, Oostende, Belgium
[3] Univ Ghent, Biol Dept, Phycol Res Grp, Ghent, Belgium
[4] Univ Melbourne, Sch BioSci, Melbourne, Vic, Australia
来源：
GLOBAL ECOLOGY AND BIOGEOGRAPHY | 2018年 / 27卷 / 03期
基金：
澳大利亚研究理事会;
关键词：
Bio-ORACLE; bioclimatic modelling; environmental data; global; kriging; macroecology; marine; species distribution modelling; CLIMATE-CHANGE; RANGE SHIFTS; SPECIES DISTRIBUTIONS; TEMPORAL VARIABILITY; PRODUCTIVITY; CHLOROPHYLL; CONSISTENT; DIVERSITY; PATTERNS; PLATFORM;
D O I：
10.1111/geb.12693
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
Motivation: The availability of user-friendly, high-resolution global environmental datasets is crucial for bioclimatic modelling. For terrestrial environments, WorldClim has served this purpose since 2005, but equivalent marine data only became available in 2012, with pioneer initiatives like Bio-ORACLE providing data layers for several ecologically relevant variables. Currently, the available marine data packages have not yet been updated to the most recent Intergovernmental Panel on Climate Change (IPCC) predictions nor to present times, and are mostly restricted to the top surface layer of the oceans, precluding the modelling of a large fraction of the benthic diversity that inhabits deeper habitats. To address this gap, we present a significant update of Bio-ORACLE for new future climate scenarios, present-day conditions and benthic layers (near sea bottom). The reliability of data layers was assessed using a cross-validation framework against in situ quality-controlled data. This test showed a generally good agreement between our data layers and the global climatic patterns. We also provide a package of functions in the R software environment (sdmpredictors) to facilitate listing, extraction and management of data layers and allow easy integration with the available pipelines for bioclimatic modelling. Main types of variable contained: Surface and benthic layers for water temperature, salinity, nutrients, chlorophyll, sea ice, current velocity, phytoplankton, primary productivity, iron and light at bottom. Spatial location and grain: Global at 5 arcmin (c.0.08 degrees or 9.2 km at the equator). Time period and grain: Present (2000-2014) and future (2040-2050 and 2090-2100) environmental conditions based on monthly averages. Major taxa and level of measurement: Marine biodiversity associated with sea surface and epibenthic habitats. Software format: ASCII and TIFF grid formats for geographical information systems and a package of functions developed for R software.
引用
收藏
页码：277 / 284
页数：8
相关论文
共 57 条
[41]   Climate change and distribution shifts in marine fishes [J].
Perry, AL ;
Low, PJ ;
Ellis, JR ;
Reynolds, JD .
SCIENCE, 2005, 308 (5730) :1912-1915
[42]  
Peterson A. T. T., 2011, HORN MONOGRAPHS
[43]   Benthos distribution modelling and its relevance for marine ecosystem management [J].
Reiss, Henning ;
Birchenough, Silvana ;
Borja, Angel ;
Buhl-Mortensen, Lene ;
Craeymeersch, Johan ;
Dannheim, Jennifer ;
Darr, Alexander ;
Galparsoro, Ibon ;
Gogina, Mayya ;
Neumann, Hermann ;
Populus, Jacques ;
Rengstorf, Anna M. ;
Valle, Mireia ;
van Hoey, Gert ;
Zettler, Michael L. ;
Degraer, Steven .
ICES JOURNAL OF MARINE SCIENCE, 2015, 72 (02) :297-315
[44]   Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities [J].
Robinson, L. M. ;
Elith, J. ;
Hobday, A. J. ;
Pearson, R. G. ;
Kendall, B. E. ;
Possingham, H. P. ;
Richardson, A. J. .
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2011, 20 (06) :789-802
[45]  
Sbrocco E. J., 2013, ECOLOGY, V94, P979, DOI [DOI 10.1890/12-1358.1, 10.1890/12-1358.1]
[46]   Coastal urbanization leads to remarkable seaweed species loss and community shifts along the SW Atlantic [J].
Scherner, Fernando ;
Horta, Paulo Antunes ;
de Oliveira, Eurico Cabral ;
Simonassi, Jose Carlos ;
Hall-Spencer, Jason M. ;
Chow, Fungyi ;
Nunes, Jose Marcos C. ;
Barreto Pereira, Sonia Maria .
MARINE POLLUTION BULLETIN, 2013, 76 (1-2) :106-115
[47]   Thermal biases and vulnerability to warming in the world's marine fauna [J].
Stuart-Smith, Rick D. ;
Edgar, Graham J. ;
Barrett, Neville S. ;
Kininmonth, Stuart J. ;
Bates, Amanda E. .
NATURE, 2015, 528 (7580) :88-+
[48]   A COMPUTERIZED SYSTEM FOR MATCHING CLIMATES IN ECOLOGY [J].
SUTHERST, RW ;
MAYWALD, GF .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 1985, 13 (3-4) :281-299
[49]   Extinction risk from climate change [J].
Thomas, CD ;
Cameron, A ;
Green, RE ;
Bakkenes, M ;
Beaumont, LJ ;
Collingham, YC ;
Erasmus, BFN ;
de Siqueira, MF ;
Grainger, A ;
Hannah, L ;
Hughes, L ;
Huntley, B ;
van Jaarsveld, AS ;
Midgley, GF ;
Miles, L ;
Ortega-Huerta, MA ;
Peterson, AT ;
Phillips, OL ;
Williams, SE .
NATURE, 2004, 427 (6970) :145-148
[50]   BIOMOD - a platform for ensemble forecasting of species distributions [J].
Thuiller, Wilfried ;
Lafourcade, Bruno ;
Engler, Robin ;
Araujo, Miguel B. .
ECOGRAPHY, 2009, 32 (03) :369-373
123456