Ciencia habilitada por datos de especímenes
Ito, S., J. Bosch, C. Aguilar-Vega, H. Jeong, and J. M. Sánchez-Vizcaíno. 2024. Geospatial analysis for strategic wildlife disease surveillance: African swine fever in South Korea (2019–2021) C. Varga [ed.],. PLOS ONE 19: e0305702. https://doi.org/10.1371/journal.pone.0305702
Since the confirmation of African swine fever (ASF) in South Korea in 2019, its spread, predominantly in wild boars, has been a significant concern. A key factor in this situation is the lack of identification of risk factors by surveillance bias. The unique orography, characterized by high mountains, complicates search efforts, leading to overlooked or delayed case detection and posing risks to the swine industry. Additionally, shared rivers with neighboring country present a continual threat of virus entry. This study employs geospatial analysis and statistical methods to 1) identify areas at high risk of ASF occurrence but possibly under-surveilled, and 2) indicate strategic surveillance points for monitoring the risk of ASF virus entry through water bodies and basin influences. Pearson’s rho test indicated that elevation (rho = -0.908, p-value < 0.001) and distance from roads (rho = -0.979, p-value < 0.001) may have a significant impact on limiting surveillance activities. A map of potential under-surveilled areas was created considering these results and was validated by a chi-square goodness-of-fit test (X-square = 208.03, df = 1, p-value < 0.001). The strong negative correlation (rho = -0.997, p-value <0.001) between ASF-positive wild boars and distance from water sources emphasizes that areas surrounding rivers are one of the priority areas for monitoring. The subsequent hydrological analyses provided important points for monitoring the risk of virus entry via water from the neighboring country. This research aims to facilitate early detection and prevent further spread of ASF.
Fell, H. G., M. Jones, S. Atkinson, N. C. Stenseth, and A. C. Algar. 2023. The role of reservoir species in mediating plague’s dynamic response to climate. Royal Society Open Science 10. https://doi.org/10.1098/rsos.230021
The distribution and transmission of Yersinia pestis , the bacterial agent of plague, responds dynamically to climate, both within wildlife reservoirs and human populations. The exact mechanisms mediating plague's response to climate are still poorly understood, particularly across large environmentally heterogeneous regions encompassing several reservoir species. A heterogeneous response to precipitation was observed in plague intensity across northern and southern China during the Third Pandemic. This has been attributed to the response of reservoir species in each region. We use environmental niche modelling and hindcasting methods to test the response of a broad range of reservoir species to precipitation. We find little support for the hypothesis that the response of reservoir species to precipitation mediated the impact of precipitation on plague intensity. We instead observed that precipitation variables were of limited importance in defining species niches and rarely showed the expected response to precipitation across northern and southern China. These findings do not suggest that precipitation–reservoir species dynamics never influence plague intensity but that instead, the response of reservoir species to precipitation across a single biome cannot be assumed and that limited numbers of reservoir species may have a disproportional impact upon plague intensity.
Emiroğlu, Ö., S. Aksu, S. Başkurt, J. R. Britton, and A. S. Tarkan. 2023. Predicting how climate change and globally invasive piscivorous fishes will interact to threaten populations of endemic fishes in a freshwater biodiversity hotspot. Biological Invasions. https://doi.org/10.1007/s10530-023-03016-4
Freshwater ecosystems are highly vulnerable to the detrimental impacts of both biological invasions and climate change. Piscivorous alien fishes drive populations of small-bodied native fishes to extinction and warming is already driving extreme temperature events in lakes and rivers globally. Here, we use Ecological Niche Modelling (ENM) to predict how climate change will alter the geographical space of six alien fishes and five native fish genera (which include multiple endemic species) in Turkey, a hotspot of freshwater fish diversity. The models predicted that the geographical space of the alien fishes already present in Turkey would generally increase (including pikeperch Sander lucioperca and perch Perca fluviatilis ), but with the most substantial increases in largemouth bass Micropterus salmoides , a species not yet present in Turkey but that is invasive in countries nearby and is highly popular for sport angling. For the native fish genera, general predictions were for reduced geographical space, especially in the south and east of the country, suggesting the endemic species will become increasingly imperilled in future. Their populations will also be at increasing risk of deleterious impacts from the alien piscivores, as the predictions were also for increasing overlaps in the geographical space of both the alien fishes and native fish genera. These predictions suggest that the conservation of these endemic species need to consider measures on preventing both the introduction of alien species (e.g. largemouth bass) and the further dispersal of extant alien species (e.g. pikeperch), as well as habitat interventions that will limit the effects of climate change on their populations. These results also indicate that the combination of climate change and alien invasions could have substantial impacts on—and similar—hotspots of freshwater diversity.
Ecke, F., B. A. Han, B. Hörnfeldt, H. Khalil, M. Magnusson, N. J. Singh, and R. S. Ostfeld. 2022. Population fluctuations and synanthropy explain transmission risk in rodent-borne zoonoses. Nature Communications 13. https://doi.org/10.1038/s41467-022-35273-7
Population fluctuations are widespread across the animal kingdom, especially in the order Rodentia, which includes many globally important reservoir species for zoonotic pathogens. The implications of these fluctuations for zoonotic spillover remain poorly understood. Here, we report a global empirical analysis of data describing the linkages between habitat use, population fluctuations and zoonotic reservoir status in rodents. Our quantitative synthesis is based on data collated from papers and databases. We show that the magnitude of population fluctuations combined with species’ synanthropy and degree of human exploitation together distinguish most rodent reservoirs at a global scale, a result that was consistent across all pathogen types and pathogen transmission modes. Our spatial analyses identified hotspots of high transmission risk, including regions where reservoir species dominate the rodent community. Beyond rodents, these generalities inform our understanding of how natural and anthropogenic factors interact to increase the risk of zoonotic spillover in a rapidly changing world. Many rodent species are known as hosts of zoonotic pathogens, but the ecological conditions that trigger spillover are not well-understood. Here, the authors show that population fluctuations and association with human-dominated habitats explain the zoonotic reservoir status of rodents globally.
Yu, S.-E., S.-L. Dong, Z.-X. Zhang, Y.-Y. Zhang, G. Sarà, J. Wang, and Y.-W. Dong. 2022. Mapping the potential for offshore aquaculture of salmonids in the Yellow Sea. Marine Life Science & Technology 4: 329–342. https://doi.org/10.1007/s42995-022-00141-2
Mariculture has been one of the fastest-growing global food production sectors over the past three decades. With the congestion of space and deterioration of the environment in coastal regions, offshore aquaculture has gained increasing attention. Atlantic salmon ( Salmo salar ) and rainbow trout ( Oncorhynchus mykiss ) are two important aquaculture species and contribute to 6.1% of world aquaculture production of finfish. In the present study, we established species distribution models (SDMs) to identify the potential areas for offshore aquaculture of these two cold-water fish species considering the mesoscale spatio-temporal thermal heterogeneity of the Yellow Sea. The values of the area under the curve (AUC) and the true skill statistic (TSS) showed good model performance. The suitability index (SI), which was used in this study to quantitatively assess potential offshore aquaculture sites, was highly dynamic at the surface water layer. However, high SI values occurred throughout the year at deeper water layers. The potential aquaculture areas for S. salar and O. mykiss in the Yellow Sea were estimated as 52,270 ± 3275 (95% confidence interval, CI) and 146,831 ± 15,023 km 2 , respectively. Our results highlighted the use of SDMs in identifying potential aquaculture areas based on environmental variables. Considering the thermal heterogeneity of the environment, this study suggested that offshore aquaculture for Atlantic salmon and rainbow trout was feasible in the Yellow Sea by adopting new technologies (e.g., sinking cages into deep water) to avoid damage from high temperatures in summer.
Sánchez, C. A., H. Li, K. L. Phelps, C. Zambrana-Torrelio, L.-F. Wang, P. Zhou, Z.-L. Shi, et al. 2022. A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia. Nature Communications 13. https://doi.org/10.1038/s41467-022-31860-w
Emerging diseases caused by coronaviruses of likely bat origin (e.g., SARS, MERS, SADS, COVID-19) have disrupted global health and economies for two decades. Evidence suggests that some bat SARS-related coronaviruses (SARSr-CoVs) could infect people directly, and that their spillover is more frequent than previously recognized. Each zoonotic spillover of a novel virus represents an opportunity for evolutionary adaptation and further spread; therefore, quantifying the extent of this spillover may help target prevention programs. We derive current range distributions for known bat SARSr-CoV hosts and quantify their overlap with human populations. We then use probabilistic risk assessment and data on human-bat contact, human viral seroprevalence, and antibody duration to estimate that a median of 66,280 people (95% CI: 65,351–67,131) are infected with SARSr-CoVs annually in Southeast Asia. These data on the geography and scale of spillover can be used to target surveillance and prevention programs for potential future bat-CoV emergence. Coronaviruses may spill over from bats to humans. This study uses epidemiological data, species distribution models, and probabilistic risk assessment to map overlap among people and SARSr-CoV bat hosts and estimate how many people are infected with bat-origin SARSr-CoVs in Southeast Asia annually.
Ecke, F., M. Magnusson, B. A. Han, and M. Evander. 2022. Orthohantaviruses in the Arctic: Present and Future. Arctic One Health: 393–414. https://doi.org/10.1007/978-3-030-87853-5_18
Orthohantaviruses, family Hantaviridae , are globally distributed except for Antarctica where they are absent. In animals, orthohantaviruses are transmitted horizontally, either directly through aggressive interactions and grooming or by inhaling infectious particles shed from urine, feces, or saliva in the environment. Humans become infected by inhaling aerosols of the virus-contaminated excretions of small mammals. Orthohantaviral infections in humans cause severe hantavirus pulmonary syndrome (HPS) in the North American Artic and hemorrhagic fever with renal syndrome (HFRS) in the Eurasian Arctic. In the Arctic, 16 rodent species (order Rodentia) and five shrew species (order Eulipotyphla) have been identified as reservoirs of orthohantaviruses by RNA detection. The two most important reservoir rodents in the Arctic are the bank vole ( Myodes glareolus ) in Eurasia carrying Puumala orthohantavirus (PUUV) and North American deermouse ( Peromyscus maniculatus ) in the North American Arctic carrying Sin Nombre orthohantavirus (SNV); both rodents being habitat generalists occurring in natural and human-modified habitats. Global warming, either independently or in combination with onshore exploitation of natural resources, is expected to increase the distribution range of reservoirs (including bank vole and North American deermouse, rats ( Rattus rattus and R. norvegicus ), house mouse ( Mus musculus ) and field mice ( Apodemus spp.)), and their associated orthohantaviruses. These changes pose the risk of introducing New World orthohantaviruses (e.g., Jemez Springs virus (JMSV) and SNV) to areas where so far only Old World orthohantaviruses (e.g., Hantaan orthohantavirus (HTNV) and PUUV) occur and vice versa. Climate change in the Arctic will likely also promote transmission and prevalence of orthohantaviruses in their reservoirs and hence increase zoonotic risk. The expected environmental changes call for increased surveillance and preparedness to mitigate potential outbreaks of orthohantavirus diseases in humans.
Ramírez, F., V. Sbragaglia, K. Soacha, M. Coll, and J. Piera. 2022. Challenges for Marine Ecological Assessments: Completeness of Findable, Accessible, Interoperable, and Reusable Biodiversity Data in European Seas. Frontiers in Marine Science 8. https://doi.org/10.3389/fmars.2021.802235
The ongoing contemporary biodiversity crisis may result in much of ocean’s biodiversity to be lost or deeply modified without even being known. As the climate and anthropogenic-related impacts on marine systems accelerate, biodiversity knowledge integration is urgently required to evaluate and monit…
Neves, T., L. Borda-de-Água, M. da L. Mathias, and J. T. Tapisso. 2021. The Influence of the Interaction between Climate and Competition on the Distributional Limits of European Shrews. Animals 12: 57. https://doi.org/10.3390/ani12010057
It is known that species’ distributions are influenced by several ecological factors. Nonetheless, the geographical scale upon which the influence of these factors is perceived is largely undefined. We assessed the importance of competition in regulating the distributional limits of species at large…
Bennett, D., and F. J. Richard. 2021. Distribution modelling of the garden dormouse Eliomys quercinus (Linnaeus, 1766) with novel climate change indicators. Mammalian Biology 101: 589–599. https://doi.org/10.1007/s42991-021-00118-1
The garden dormouse Eliomys quercinus has been declining in both abundance and range since the mid-twentieth century. The eastern edge of its range has contracted from the Ural Mountains to eastern Germany. Habitat loss and fragmentation has been the most supported theory to explain the observed dec…