Data Integration for Large-Scale Models of Species Distributions

被引：262

作者：

Isaac, Nick J. B. ^{[1
,2
]}

Jarzyna, Marta A. ^{[3
]}

Keil, Petr ^{[4
,5
]}

Dambly, Lea I. ^{[1
,2
]}

Boersch-Supan, Philipp H. ^{[6
,7
]}

Browning, Ella ^{[2
,8
]}

Freeman, Stephen N. ^{[1
]}

Golding, Nick ^{[9
]}

Guillera-Arroita, Gurutzeta ^{[9
]}

Henrys, Peter A. ^{[10
]}

Jarvis, Susan ^{[10
]}

Lahoz-Monfort, Jose ^{[9
]}

Pagel, Joern ^{[11
]}

Pescott, Oliver L. ^{[1
]}

Schmucki, Reto ^{[1
]}

Simmonds, Emily G. ^{[12
]}

O'Hara, Robert B. ^{[12
]}

机构：

[1] Ctr Ecol & Hydrol, Benson Lane, Wallingford OX10 8BB, Oxon, England

[2] UCL, Ctr Biodivers & Environm Res, Dept Genet Evolut & Environm, London WC1E 6BT, England

[3] Ohio State Univ, Dept Evolut Ecol & Organismal Biol, Columbus, OH 43210 USA

[4] German Ctr Integrat Biodivers Res iDiv, D-04103 Leipzig, Germany

[5] Martin Luther Univ Halle Wittenberg, Inst Comp Sci, D-06120 Halle, Saale, Germany

[6] British Trust Ornithol, Thetford IP24 2PU, England

[7] Univ Florida, Dept Geog, Gainesville, FL 32611 USA

[8] Zool Soc London, Inst Zool, London NW1 4RY, England

[9] Univ Melbourne, Sch Biosci, Parkville, Vic 3010, Australia

[10] Ctr Ecol & Hydrol, Lancaster LA1 4AP, England

[11] Univ Hohenheim, Inst Landscape & Plant Ecol, D-70599 Stuttgart, Germany

[12] Norwegian Univ Sci & Technol, Dept Math Sci, Ctr Biodivers Dynam, N-7491 Trondheim, Norway

来源：

TRENDS IN ECOLOGY & EVOLUTION | 2020年 / 35卷 / 01期

基金：

英国自然环境研究理事会; 澳大利亚研究理事会;

关键词：

POINT PROCESS MODELS; CITIZEN SCIENCE DATA; BIG DATA; BIAS; ECOLOGY; FUTURE; INFORMATION; CHALLENGES; FRAMEWORK; ABUNDANCE;

D O I：

10.1016/j.tree.2019.08.006

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

With the expansion in the quantity and types of biodiversity data being collected, there is a need to find ways to combine these different sources to provide cohesive summaries of species' potential and realized distributions in space and time. Recently, model-based data integration has emerged as a means to achieve this by combining datasets in ways that retain the strengths of each. We describe a flexible approach to data integration using point process models, which provide a convenient way to translate across ecological currencies. We highlight recent examples of large-scale ecological models based on data integration and outline the conceptual and technical challenges and opportunities that arise.

引用

页码：56 / 67

页数：12

共 78 条

[1] An assessment of integrated population models: bias, accuracy, and violation of the assumption of independence [J].

Abadi, Fitsum ;

Gimenez, Olivier ;

Arlettaz, Raphael ;

Schaub, Michael .

ECOLOGY, 2010, 91 (01) :7-14

[2] Spatial Gaps in Global Biodiversity Information and the Role of Citizen Science [J].

Amano, Tatsuya ;

Lamming, James D. L. ;

Sutherland, William J. .

BIOSCIENCE, 2016, 66 (05) :393-400

[3]

[Anonymous], 2008, Hierarchical modeling and inference in ecology

[4] Five (or so) challenges for species distribution modelling [J].

Araujo, Miguel B. ;

Guisan, Antoine .

JOURNAL OF BIOGEOGRAPHY, 2006, 33 (10) :1677-1688

[5] Emerging technologies for biological recording [J].

August, Tom ;

Harvey, Martin ;

Lightfoot, Paula ;

Kilbey, David ;

Papadopoulos, Timos ;

Jepson, Paul .

BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY, 2015, 115 (03) :731-749

[6] Towards a unified descriptive theory for spatial ecology: predicting biodiversity patterns across spatial scales [J].

Azaele, Sandro ;

Maritan, Amos ;

Cornell, Stephen J. ;

Suweis, Samir ;

Banavar, Jayanth R. ;

Gabriel, Doreen ;

Kunin, William E. .

METHODS IN ECOLOGY AND EVOLUTION, 2015, 6 (03) :324-332

[7] Environmental DNA Time Series in Ecology [J].

Balint, Miklos ;

Pfenninger, Markus ;

Grossart, Hans-Peter ;

Taberlet, Pierre ;

Vellend, Mark ;

Leibold, Mathew A. ;

Englund, Goran ;

Bowler, Diana .

TRENDS IN ECOLOGY & EVOLUTION, 2018, 33 (12) :945-957

[8]

BANERJEE S., 2003, HIERARCHICAL MODELIN, DOI DOI 10.1201/9780203487808

[9] The effect of range changes on the functional turnover, structure and diversity of bird assemblages under future climate scenarios [J].

Barbet-Massin, Morgane ;

Jetz, Walter .

GLOBAL CHANGE BIOLOGY, 2015, 21 (08) :2917-2928

[10] Can coarse-grain patterns in insect atlas data predict local occupancy? [J].

Barwell, Louise J. ;

Azaele, Sandro ;

Kunin, William E. ;

Isaac, Nick J. B. .

DIVERSITY AND DISTRIBUTIONS, 2014, 20 (08) :895-907

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