EcoHealth

, Volume 11, Issue 1, pp 109–119

Risks of Avian Influenza Transmission in Areas of Intensive Free-Ranging Duck Production with Wild Waterfowl

  • Julien Cappelle
  • Delong Zhao
  • Marius Gilbert
  • Martha I. Nelson
  • Scott H. Newman
  • John Y. Takekawa
  • Nicolas Gaidet
  • Diann J. Prosser
  • Ying Liu
  • Peng Li
  • Yuelong Shu
  • Xiangming Xiao
Feature

DOI: 10.1007/s10393-014-0914-2

Cite this article as:
Cappelle, J., Zhao, D., Gilbert, M. et al. EcoHealth (2014) 11: 109. doi:10.1007/s10393-014-0914-2

Abstract

For decades, southern China has been considered to be an important source for emerging influenza viruses since key hosts live together in high densities in areas with intensive agriculture. However, the underlying conditions of emergence and spread of avian influenza viruses (AIV) have not been studied in detail, particularly the complex spatiotemporal interplay of viral transmission between wild and domestic ducks, two major actors of AIV epidemiology. In this synthesis, we examine the risks of avian influenza spread in Poyang Lake, an area of intensive free-ranging duck production and large numbers of wild waterfowl. Our synthesis shows that farming of free-grazing domestic ducks is intensive in this area and synchronized with wild duck migration. The presence of juvenile domestic ducks in harvested paddy fields prior to the arrival and departure of migrant ducks in the same fields may amplify the risk of AIV circulation and facilitate the transmission between wild and domestic populations. We provide evidence associating wild ducks migration with the spread of H5N1 in the spring of 2008 from southern China to South Korea, Russia, and Japan, supported by documented wild duck movements and phylogenetic analyses of highly pathogenic avian influenza H5N1 sequences. We suggest that prevention measures based on a modification of agricultural practices may be implemented in these areas to reduce the intensity of AIV transmission between wild and domestic ducks. This would require involving all local stakeholders to discuss feasible and acceptable solutions.

Keywords

avian influenza viruswild birdsmigrationinterfacecontactecologyepidemiologyChinaPoyangtelemetryremote sensingGPS

Introduction

South China has been considered the epicenter for the emergence of new avian influenza strains and an area of high risk for emergence of human pandemic strains (Shortridge 1982; Webster et al. 1992, 2006; Jones et al. 2008). Persistence of highly pathogenic H5N1 (hereafter H5N1) in southern China since its emergence in 1997 (Guan et al. 2002) has been associated with risk factors including high human population densities, high densities of domestic ducks raised on water ponds, and intensively irrigated paddy fields that are also areas that attract wild ducks and waterfowl (Martin et al. 2011). Interestingly, the role of domestic ducks in the epidemiology of avian influenza viruses (AIV) was already pointed out in South China in the 1980s (Shortridge 1982).

Wild and domestic ducks are thought to play a major role in the epidemiology of low pathogenic avian influenza (LPAI) as well as H5N1. Wild ducks, especially dabbling ducks from the Anas genera, are considered reservoirs of LPAI viruses (Webster et al. 1992; Olsen et al. 2006; Munster et al. 2007). Studies show that LPAI viruses are the precursors of highly pathogenic avian influenza (HPAI) viruses of gallinaceous poultry including H5N1 (Webster et al. 1992; Munster et al. 2005; Chen et al. 2006; Alexander 2007). Furthermore, some wild duck species that were experimentally infected with H5N1 of wildfowl origin remained asymptomatic, indicating that wild ducks may have the potential to spread the virus (Brown et al. 2008; Keawcharoen et al. 2008; Gaidet et al. 2010; Newman et al. 2012; Nemeth et al. 2013). Domestic ducks may also shed H5N1 asymptomatically and are considered to play a key role in the persistence of H5N1 in Asia (Chen et al. 2004; Hulse-Post et al. 2005; Sturm-Ramirez et al. 2005; Kim et al. 2008; Martin et al. 2011), especially free-grazing ducks that have been associated with H5N1 outbreaks (Gilbert et al. 2006, 2008; Songserm et al. 2006).

The recent emergence of a zoonotic H7N9 LPAI in China highlighted how domestic ducks act as a key intermediate host by serving as a mixing vessel for a variety of AIV from migratory birds and transmitting the different combinations to chickens, with potential emergence into domestic mammals and humans (Lam et al. 2013). The domestic–wild duck interface is thus key to the emergence and spread of potentially zoonotic AIV. A better understanding of its spatial and temporal characteristics could identify hot spots and periods for targeted surveillance. Furthermore, areas with high emergence, spread, or pandemic potential may allow deployment of targeted preventative measures that reduce potential transmission of AIV between wild and domestic ducks.

In southern China, Poyang Lake in Jiangxi Province and Dongting Lake in Hunan Province are of great concern for risk of H5N1 persistence (Martin et al. 2011; Prosser et al. 2013) (Supporting Fig. 1). Both sites are characterized by high densities of domestic ducks raised in paddy fields that were historically converted from natural wetlands, and they support large numbers of resident and wild migratory ducks in the nearby wetlands. We hypothesize that Poyang Lake and Dongting Lake exemplify agro-ecological systems where the extensive interface between natural wetlands and paddy rice fields acts as key sites to facilitate AIV transmission between wild and domestic ducks. We further hypothesize that certain HPAI strains may then spread intermittently across the continent through wild duck migration.

The main objective of this synthesis was to characterize the spatial and temporal relationships between wild and domestic ducks in these high-interface areas by integrating previously published and original interdisciplinary data (Fig. 1). We combined field-collected data on free-grazing duck farms, remotely sensed environmental indicators on rice cropping systems, satellite-tracking data of resident and migratory wild ducks, and epidemiological and phylogenetic data of H5N1 isolates in East Asia. More precisely, we compared the temporal pattern of free-grazing domestic duck farming in the Poyang Lake area with the seasonal presence of wild ducks in paddy fields to identify a period with potential increased risk of AIV transmission. We implemented farm surveys and used satellite-tracking data to investigate the potential for harvested paddy fields to act as a favorable environment for AIV transmission between wild and domestic ducks. Finally, we combined satellite-tracking data and phylogenetic analyses of H5N1 sequences to suggest the role played by wild migratory ducks in the long-distance spread of HPAI strains. We showed that spatial and temporal relationships between wild ducks and free-ranging farmed ducks increased the potential for contact and subsequent risk of AIV transmission as well as the potential long-distance spread of certain AIV strains through wild duck migration.
https://static-content.springer.com/image/art%3A10.1007%2Fs10393-014-0914-2/MediaObjects/10393_2014_914_Fig1_HTML.gif
Figure 1

Conceptual model of integrated study components. The original analyses integrated here rely on original and historic agricultural and ecological field studies conducted in Poyang Lake and on original and historic epidemiological and virological analyses.

Materials and Methods

Spatiotemporal Characterization of the Domestic and Wild Duck Interface

Free-Grazing Duck Farming in Paddy Fields

Field investigations were undertaken in wetlands and paddy fields surrounding Poyang Lake (see Supporting information for study site details) to document characteristics and spatiotemporal patterns of free-grazing domestic duck farming. To estimate population dynamics and population size of free-grazing ducks, we combined different sources of information including data from the provincial agricultural yearbooks and the results of two field studies of local duck farming. During October of 2007, a total of 42 duck farms participated in interviews and provided data on the number of free-grazing ducks raised and the timing of production cycles. A “road survey” was also implemented, including GPS coordinates and number of duck shelters observed per farm along the roads within our study area. During March of 2011, a total of 216 farms were investigated in the Yongxiu (n = 50), Nanchang (n = 112), and De’an (n = 54) counties (Fig. 2) as part of a larger study on the risk of AIV transmission at the domestic poultry–human interface implemented by Chinese Center for Disease Control and Prevention. We extracted data related to the number of adult and juvenile ducks, chickens, and pigs raised on the farms. We classified farms with >100 ducks as duck farms (n = 150) and farms with <40 ducks as other (n = 66).
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Figure 2

Free-grazing-duck farms investigated within the study area. The map shows results from the survey of duck shelters conducted in October 2007. We estimated number of ducks per farm by counting the number of duck shelters per farm and estimated 1,500 ducks per shelter. The gray lines delineate county boundaries.

Ecology of Resident and Migratory Wild Ducks and Potential Contact with Domestic Ducks

We used telemetry data from 14 resident and 19 migratory wild ducks that were captured and equipped with satellite transmitters in Poyang Lake in March and November 2007 (Supporting Table 1). From the Poyang Lake area, we obtained 4,266 GPS locations (±18.5 m accuracy) and 1,905 Argos Doppler locations (~1–10 km accuracy) from resident ducks and 357 Argos locations from migrating ducks (for more details, see (Takekawa et al. 2010).

We estimated the intensity of indirect contacts between wild and domestic ducks by calculating the percentage of GPS locations (available for resident ducks only) transmitted within areas identified as rice paddy using remotely sensed data (Torbick et al. 2011).

We also implemented a generalized linear mixed model to test the influence of daily (night vs day) and seasonal (wintering period vs other) temporal variables on the distribution of wild resident birds in paddy fields (Supporting Information).

Spread of H5N1 Through Wild Duck Migration

To assess the spatiotemporal relationship between wild duck migration and H5N1 outbreaks during the spring migration, we overlaid satellite-tracking data along the East Asian Flyway from South China and the location and date of H5N1 outbreaks along this flyway. We used the satellite-tracking dataset described above and a dataset from wild ducks captured in Hong Kong. This additional dataset contained 3,275 locations from 23 wild ducks captured in December 2009 and 2010 (Takekawa et al. 2010). We included in the study all H5N1 outbreaks officially reported to the World Organization for Animal Health (OIE) in East Asia during the satellite tracking programs in Poyang Lake and Hong Kong (2007–2010). We considered only the first reported outbreak (primary outbreak) for a given geographical area, since subsequent local outbreaks may have been spread through local poultry movements or trade.

To assess the role played by wild ducks in the spread of H5N1, we reviewed the official epidemiological reports provided for each outbreak to OIE. Outbreak reports were collected using the OIE World Animal Health Information Database (WAHID) and the United Nations Food and Agriculture Organization Emergency Prevention System (FAO EMPRES-i) interfaces. We also compared the duration of the long-distance movements of satellite-marked wild ducks with the duration of the asymptomatic excretion period of the virus by experimentally infected wild ducks as detailed by Gaidet et al. (2010).

Phylogenetic Analysis

We searched in GenBank for the full-length (1,704 nucleotide) HA sequences of the viruses isolated for each H5N1 outbreak. We inferred the phylogenetic relationships using maximum likelihood methods available via PAUP* (Swofford 2003), from the viruses in the outbreaks, viruses isolated from Poyang and Dongting Lakes, related influenza viruses from clade 2.3.2, and representative viruses from other H5N1 clades and subclades (Chen et al. 2006; Smith et al. 2009; Kang et al. 2011). A best-fit model was inferred directly from this data set (n = 73 sequences) using MODELTEST: GTR + gamma (Posada and Crandall 1998). Support for individual nodes was estimated by bootstrap resampling (1,000 replicates) using the neighbor-joining method with incorporation of the ML substitution model. The analysis was repeated for NA gene sequences of the viruses.

Results

Spatiotemporal Characterization of the Domestic and Wild Duck Interface

Free-Grazing Duck Farming and Rice Paddy Cropping

We estimated that ca. 14,000,000 ducks (both free-grazing and non-free-grazing) were raised yearly in the Poyang Lake area on the basis of the 2004–2006 Jiangxi Province agricultural yearbooks (Supporting Table 2). In Xinjina and Yongxiu counties that comprise most of the nature reserve (Fig. 2), approximately 2,000,000 domestic ducks were raised, documenting high densities of domestic ducks in this area.

Farm interviews and investigations confirmed the high densities of free-grazing ducks reported in the yearbooks. The average number of ducks per farm was ca 2,000 (Table 1; Fig. 2). In October 2007, all 42 farmers had juvenile domestic ducks and all indicated the start of the free-grazing period after the harvest of the second rice crop in October (Fig. 3). In March 2011, 24% of the 150 duck farms had juvenile ducks, which reflected the start of a new production cycle. The period when ducks were sold varied depending on market prices which in turn induced variability in the length of production cycles. Of the 150 duck farms surveyed, 8% of the farms also housed swine and 45% housed other types of poultry (Table 1).
Table 1

Summary of duck farmer surveys in the Poyang Lake area.

Study type

Date

Number of farms

Ducks per farma

Number of farm with presence of:

Mean

SD

Range

Juvenile ducks

Swine

Other poultry

Duck farms

10/2007

42

2,374

1,519

300–8,000

42 (100%)

Duck shelters

10/2007

166

2,115a

2,764a

1,500–30,000a

Duck farms

03/2011

150

1,893

2,632

120–23,000

36 (24%)

12 (8%)

67 (44.67%)

Other farms

03/2011

66

7.24

6.95

0–40

2 (3%)

22 (33.34%)

60 (90.9%)

aFor the survey of duck shelters conducted in October 2007, we estimated the number of ducks per farm by multiplying the number of duck shelters per farm by an estimated 1,500 ducks per shelter.

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Figure 3

Seasonal fluctuations of the potential indirect contacts between wild and domestic ducks in rice paddy fields surrounding Poyang Lake, China. Rice production systems influence periods when domestic ducks are free-grazing and in indirect contact with wild ducks sharing the same paddy fields. Illustrations include: a the double crop rice production calendar. A single crop system also occurs in the area, although the double crop system is predominant in the vicinity of Poyang Lake (Li et al. 2012); b free-grazing periods for domestic ducks in two cycles from March to April before planting of early rice and from October to February after harvesting of late rice (red arrows show the two yearly pulses of juvenile ducks in the paddy fields); c wild duck presence in rice paddy fields estimated for resident and migratory ducks by the percentage of monthly satellite locations (95% binomial confidence interval was calculated with the binomial test function in R.); and d timing of wild duck departure and arrival for the wintering period.

We identified two annual production cycles for free-grazing ducks both associated with the double-cropping system of rice production (Fig. 3). The first cycle started in February–March before planting of early rice, and the second cycle started in October–November after the harvest of late rice (Fig. 3a, b). Thus, large numbers of juvenile ducks are released twice yearly into the paddy fields: a month before the arrival of migrating wild ducks and a month prior to their spring departure (Fig. 3b, d).

Ecology of Resident and Migratory Wild Ducks and Potential Contact with Domestic Ducks

Results from satellite telemetry showed spatial and temporal overlap between free-grazing ducks and resident wild ducks presence in paddy fields, especially in the close vicinity of the nature reserve (Fig. 4). During October to March, more than 30% of the resident duck GPS locations were in paddy fields (Fig. 3c). Furthermore, both resident and migratory wild ducks were present in the area from December to May with several overlapping locations, especially within the nature reserve (Fig. 4).
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Figure 4

Locations of wild ducks at Poyang Lake. The figure shows the best Argos locations (classes 1–3) of migratory birds and GPS locations of resident wild birds in the Poyang Lake area for two periods of the year. Resident species included spot-billed ducks and mallards. Migratory species included Baikal teal, common teal, Eurasian wigeon, falcated teal, garganey, and northern pintail (Supporting Table 1).

The results from the generalized linear mixed model discerned a significant impact of night time and wintering period on the probability of presence of resident wild ducks in rice paddy fields (Table 2). Night locations were more often located in paddy fields than those during the day (Supporting Fig. 2).
Table 2

Results from a generalized linear mixed model indicating a significant difference in presence of resident wild ducks in rice paddy fields during the winter and at night.

Variables

Coefficient

SD

P

Intercept

−1.321

0.5763

0.0219*

Wintering

0.3774

0.1004

0.00017***

Night

0.5838

0.0819

1.02E−12***

GLMM model: presence in paddy fields ~ wintering + night + (1|bird ID).

Spread of H5N1 Through Wild Duck Migration

Wild migratory ducks showed spatial and temporal correspondence between stopover sites used and H5N1 outbreaks that occurred in the East Asian Flyway during the spring of 2008 (Fig. 5). One duck flew from Hong Kong to South Korea in less than 3 days, within the average 4-day asymptomatic excretion period for H5N1 viruses by wild Anatidae (Gaidet et al. 2010), indicating the possibility of migration with the virus.
https://static-content.springer.com/image/art%3A10.1007%2Fs10393-014-0914-2/MediaObjects/10393_2014_914_Fig5_HTML.gif
Figure 5

Potential spread of highly pathogenic H5N1 strains by wild migratory ducks. H5N1 strains isolated from outbreaks in South Korea, Russia, and Japan from April to May 2008 were closely related to each other and to strains isolated from Dongting Lake in March 2008 from domestic chickens, ducks, and water.

Results of the phylogenetic analysis indicated that the viruses isolated during the outbreaks were all members of the 2.3.2 subclade which had previously been isolated from wild ducks in South China (Smith et al. 2009) (Supporting Fig. 3). They were phylogenetically closely related to the viruses isolated in Dongting Lake in both water and poultry during the months preceding the outbreaks (Fig. 5; Supporting Figs. 3, 4). These results were compatible with the long-distance spread of H5N1by wild migratory ducks from South China to northern areas in South Korea, Japan, and far-East Russia.

Discussion

Our synthesis showed that farming of free-grazing domestic ducks in the Poyang Lake area is intensive and synchronized with migratory movements of wild ducks. Not only free-grazing ducks are extensively raised in paddy fields when wild migratory ducks are found in the area, but also the two main production cycles are synchronized with their arrival and departure periods. The production cycles lead to a pulse of juvenile domestic ducks—immunologically naïve and highly susceptible to infection—free-ranging in the rice paddy fields coincident with the time of arrival of wild migratory ducks for winter and just prior to their spring migration.

In the fall, synchrony between the pulse of a large number of susceptible individuals and introduction of new AIV strains from reservoir populations is likely to amplify circulation of AIV. Juvenile and migratory ducks have been identified as key drivers of AIV circulation in Europe (van Dijk et al. 2013). A study at Poyang Lake from 2003 to 2007 showed that the same LPAI subtypes were circulating in both wild ducks and domestic ducks with a seasonal peak of AIV prevalence from November to February after the arrival of migratory wild ducks (Duan et al. 2011).

In the spring, the synchrony between the second pulse of juvenile ducks in the paddy fields and the departure of migratory ducks could facilitate the transmission of AIV strains to migratory ducks and spread along migratory flyways. We identified spatiotemporal correspondence between the 2008 spring migration of wild ducks and the spread of closely related H5N1 strains isolated first in domestic poultry and the environment at Dongting Lake, then in domestic poultry in South Korea, and finally in wild ducks and domestic poultry in Russia and in wild swans in Japan (Fig. 5). Spread through legal or illegal trade was reported as unlikely in this specific case (Usui et al. 2009; Manin et al. 2010). Furthermore, strains from the 2.3.2 subclade have been isolated from wild birds in various locations where wild birds likely played a role in their dissemination, including South China (Smith et al. 2009), East China (Zhao et al. 2012), South Korea (Kim et al. 2012), Central China (Li et al. 2011), Mongolia (Kang et al. 2011), and Europe (Reid et al. 2011). Our study does not provide direct evidence of a continental spread of H5N1 through wild ducks migration; however, such direct evidence seems unlikely to ever be provided. Spread of HPAI by wild migratory birds may be the most likely route under certain conditions, especially when the alternative hypothesis, trade, is unlikely (Kilpatrick et al. 2006).

Although previous analyses have indicated that migration of wild ducks and outbreaks overlap spatially but are mismatched temporally (Takekawa et al. 2010), our synthesis indicates that when favorable conditions arise, isolated events may still allow for spread of AIV. In some areas such as the Central Asian Flyway, favorable conditions may occur with greater frequency resulting in more opportunities for spread (Newman et al. 2012). However, continuous and sustained poultry production systems and trade remain the major pathway for the spread of H5N1, especially at local and regional scales in China (Takekawa et al. 2010).

Although domestic ducks only use the harvested rice paddy fields during the day, capacity of AIV and H5N1 viruses in particular to persist even up to several months in water or feathers makes indirect contact likely (Domanska-Blicharz et al. 2010; Yamamoto et al. 2010). Temperatures in Poyang Lake during the winter (monthly average of 7.5°C in December, 5.1°C in January, and 6.3°C in February) would allow H5N1 to persist in the environment throughout the entire period.

Satellite telemetry served as a powerful tool for our studies, because its high-resolution data identified wild duck use of the rice paddy fields. Direct observations would have been more complicated, especially since wild ducks tend to forage at night. However, due to high cost, satellite transmitters were deployed on a limited number of individuals when compared to the total population in the area, and thus, our sample is not representative of all species and populations (Takekawa et al. 2010). Furthermore, we assumed that all ducks exhibited similar behavior regarding the use of paddy fields, and therefore results from seasonal trends should be interpreted with caution. Resident wild birds, sharing paddy fields with domestic free-grazing ducks and protected areas with migratory ducks, may play the role of a bridge species between domestic and migratory birds (Hill et al. 2012). In a previous study, six H5N1 viruses were isolated from apparently healthy wild ducks at Poyang Lake on two sampling occasions (January and March 2005) (Chen et al. 2006). Although these birds were assumed to be migratory by the authors, at least two (mallard and spot-billed duck) of the three species reported are either farmed or resident in Poyang Lake as demonstrated by our satellite-tracking data. Thus, surveillance programs aimed at detecting AIV in wild and domestic ducks during the winter should incorporate environmental sampling and target resident species.

Conclusions

Recent emergence of H5N1 and LPAI H7N9 viruses in South China demonstrates the need for better surveillance of AIVs in this region and in particular, in intensive agriculture areas that serve as an interface between domestic and wild ducks. Prevention measures aimed at reducing the intensity of AIV transmission should be focused on these areas. Successful vaccination programs may be difficult to sustain in the long-term and should be complemented by other control measures (Desvaux et al. 2013). Our synthesis highlights the importance of free-grazing duck farming in increasing risks at the wild–domestic interface. Therefore, prevention measures could be undertaken based on a modification of agricultural practices such as: excluding juvenile ducks from rice paddy fields, creating a domestic duck-free zone around nature reserves, developing specific markets for ducks separate from general live bird markets, or isolating ducks from other domestic animals. Informing and involving local stakeholders in discussions could allow development of acceptable long-term solutions to minimize risk of spread. A bottom-up and multidisciplinary approach including social sciences should be implemented in these intensive agricultural areas to mitigate risks of emergence and spread of new, potentially zoonotic AIV strains.

Acknowledgments

This study was supported by a grant from the National Institutes of Health (NIH 1R01AI101028-01A1), a grant from the NIH Fogarty International Center (R01-TW007869) through the NSF/NIH Ecology of Infectious Diseases program, the Food and Agriculture Organization of the United Nations, the U.S. Geological Survey, and a grant from National Aeronautics and Space Administration (NASA) Public Health Program (NNX11AF66G). Julien Cappelle was supported by the Gripavi project funded by the French Ministry of Foreign Affairs. We thank Martine Duportal for her help in designing the figures and Isa Woo with editorial assistance. The use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Supplementary material

10393_2014_914_MOESM1_ESM.docx (3 mb)
Supplementary material 1 (DOCX 3066 kb)

Copyright information

© International Association for Ecology and Health (outside the USA) 2014

Authors and Affiliations

  • Julien Cappelle
    • 1
    • 2
    • 3
  • Delong Zhao
    • 2
  • Marius Gilbert
    • 4
    • 5
  • Martha I. Nelson
    • 6
  • Scott H. Newman
    • 7
  • John Y. Takekawa
    • 8
  • Nicolas Gaidet
    • 1
  • Diann J. Prosser
    • 9
  • Ying Liu
    • 10
  • Peng Li
    • 10
    • 11
  • Yuelong Shu
    • 12
  • Xiangming Xiao
    • 2
  1. 1.CIRAD-ES, UR AGIRsMontpellier cedex 5France
  2. 2.Department of Botany and Microbiology, Center for Spatial AnalysisUniversity of OklahomaNormanUSA
  3. 3.Epidemiology and Public Health UnitInstitut Pasteur du CambodgePhnom PenhCambodia
  4. 4.Biological Control and Spatial EcologyUniversité Libre de BruxellesBrusselsBelgium
  5. 5.Fonds National de la Recherche ScientifiquesBrusselsBelgium
  6. 6.Division of International Epidemiology and Population StudiesFogarty International Center, National Institutes of HealthBethesdaUSA
  7. 7.Emergency Center for Transboundary Animal Diseases (ECTAD) Programme - Vietnam Food and Agriculture Organization of the United Nations (FAO)HanoiVietnam
  8. 8.U.S. Geological Survey, Western Ecological Research CenterSan Francisco Bay Estuary Field StationVallejoUSA
  9. 9.U.S. Geological SurveyPatuxent Wildlife Research CenterBeltsvilleUSA
  10. 10.School of Geography and EnvironmentJiangxi Normal UniversityNanchangChina
  11. 11.Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
  12. 12.National Institute for Viral Disease Control and Prevention, China CDCBeijingChina