Landscape Epidemiology of Emerging Infectious Diseases in Natural and Human-Altered Ecosystems

被引:167
作者
Meentemeyer, Ross K. [1 ]
Haas, Sarah E. [1 ]
Vaclavik, Tomas [2 ,3 ]
机构
[1] Univ N Carolina, Dept Geog & Earth Sci, Ctr Appl GISci, Charlotte, NC 28223 USA
[2] UFZ Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, D-04318 Leipzig, Germany
[3] Palacky Univ, Dept Ecol & Environm Sci, Fac Sci, Olomouc 77146, Czech Republic
来源
ANNUAL REVIEW OF PHYTOPATHOLOGY, VOL 50 | 2012年 / 50卷
关键词
connectivity; disease control; dynamic model; invasive species; multiscale; species distribution model; SUDDEN OAK DEATH; PINE BLISTER RUST; PHYTOPHTHORA-RAMORUM; SPATIAL DYNAMICS; PLANT-PATHOGEN; SPECIES DISTRIBUTIONS; FOREST; SCALE; SPREAD; CONNECTIVITY;
D O I
10.1146/annurev-phyto-081211-172938
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
A central challenge to studying emerging infectious diseases (EIDs) is a landscape dilemma: Our best empirical understanding of disease dynamics occurs at local scales, whereas pathogen invasions and management occur over broad spatial extents. The burgeoning field of landscape epidemiology integrates concepts and approaches from disease ecology with the macroscale lens of landscape ecology, enabling examination of disease across spatiotemporal scales in complex environmental settings. We review the state of the field and describe analytical frontiers that show promise for advancement, focusing on natural and human-altered ecosystems. Concepts fundamental to practicing landscape epidemiology are discussed, including spatial scale, static versus dynamic modeling, spatially implicit versus explicit approaches, selection of ecologically meaningful variables, and inference versus prediction. We highlight studies that have advanced the field by incorporating multiscale analyses, landscape connectivity, and dynamic modeling. Future research directions include understanding disease as a component of interacting ecological disturbances, scaling up the ecological impacts of disease, and examining disease dynamics as a coupled human-natural system.
引用
收藏
页码:379 / 402
页数:24
相关论文
共 119 条
[1]   The application of 'least-cost' modelling as a functional landscape model [J].
Adriaensen, F ;
Chardon, JP ;
De Blust, G ;
Swinnen, E ;
Villalba, S ;
Gulinck, H ;
Matthysen, E .
LANDSCAPE AND URBAN PLANNING, 2003, 64 (04) :233-247
[2]   Seasonality and the dynamics of infectious diseases [J].
Altizer, S ;
Dobson, A ;
Hosseini, P ;
Hudson, P ;
Pascual, M ;
Rohani, P .
ECOLOGY LETTERS, 2006, 9 (04) :467-484
[3]   Susceptibility to Phytophthora ramorum in a key infectious host:: landscape variation in host genotype, host phenotype, and environmental factors [J].
Anacker, Brian L. ;
Rank, Nathan E. ;
Huberli, Daniel ;
Garbelotto, Matteo ;
Gordon, Sarah ;
Harnik, Tami ;
Whitkus, Richard ;
Meentemeyer, Ross .
NEW PHYTOLOGIST, 2008, 177 (03) :756-766
[4]   Emerging infectious diseases of plants: pathogen pollution, climate change and agrotechnology drivers [J].
Anderson, PK ;
Cunningham, AA ;
Patel, NG ;
Morales, FJ ;
Epstein, PR ;
Daszak, P .
TRENDS IN ECOLOGY & EVOLUTION, 2004, 19 (10) :535-544
[5]  
ANDERSON R M, 1991
[6]  
[Anonymous], 2007, Models for ecological data: an introduction
[7]   Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory [J].
Austin, M. P. ;
Belbin, L. ;
Meyers, J. A. ;
Doherty, M. D. ;
Luoto, M. .
ECOLOGICAL MODELLING, 2006, 199 (02) :197-216
[8]   The landscape genetics of infectious disease emergence and spread [J].
Biek, Roman ;
Real, Leslie A. .
MOLECULAR ECOLOGY, 2010, 19 (17) :3515-3531
[9]   Landscape genetics and the spatial distribution of chronic wasting disease [J].
Blanchong, Julie A. ;
Samuel, Michael D. ;
Scribner, Kim T. ;
Weckworth, Byron V. ;
Langenberg, Julia A. ;
Filcek, Kristine B. .
BIOLOGY LETTERS, 2008, 4 (01) :130-133
[10]   PLANT PATHOLOGY Sudden larch death [J].
Brasier, Clive ;
Webber, Joan .
NATURE, 2010, 466 (7308) :824-825