
Sergio Guerrero Sanchez- PhD.
- Research Assistant Professor at City University of Hong Kong
Sergio Guerrero Sanchez
- PhD.
- Research Assistant Professor at City University of Hong Kong
About
19
Publications
8,698
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105
Citations
Introduction
Wildlife veterinarian with over 20 years of experience. Postdoctoral fellow at the Centre for Applied One Health Research and Policy Advice, City University of Hong Kong. Experience covering different areas, from animal ecology, conservation biology, sustainable development. Also co-leader of the Health at the Edge project, in collaboration with the Nanyang Technological University Singapore and the Universiti Malaysia Sabah.
Current institution
Additional affiliations
March 2003 - December 2008
Instituto de Historia Natural y Ecologia
Position
- Laboratory Manager
Description
- BSL2 laboratory for clinic diagnostic in the animals from the zoo. Main diagnostics, parasitology, haematology and cytology. Also in charge of infectious diseases surveillance and diagnostics.
April 1998 - February 2003
Instituto de Historia Natural y Ecologia
Position
- Research Assistant
Description
- Research assistant for the project Ecology of Tapirus bairdii and other large mammals in Chiapas, Mexico. Logistics, animal surveys and sampling. Also part of the veterinary team at the Zoo
November 2012 - April 2021
Danau Girang Field Centre
Position
- Research Associate
Description
- Wildlife veterinarian and research associate. Design and execute the protocols for animal anesthesia, sampling and tagging of the animal species studied in the Centre. Co-founder of the Health at the Edge Project. Supervisor and mentor of students and volunteers.
Publications
Publications (19)
In this study, we report the occurrence of echinostomatid eggs in feces of wildlife, domestic animals and humans frequenting the forest–oil palm plantation interface in the Kinabatangan (Sabah, Malaysia), and discuss potential implications for public health. Using microscopy, we detected echinostomatid eggs in six host species, including Asian palm...
Agricultural expansion in Southeast Asia has converted most natural landscapes into mosaics of forest interspersed with plantations, dominated by the presence of generalist species that benefit from resource predictability. Dietary shifts, however, can result in metabolic alterations and the exposure of new parasites that can impact animal fitness...
Deforestation and land conversion have dramatic consequences to biodiversity and disease emergence, but they are also deep-rooted in historical forces involved in environmental injustice. Global guidelines tackling global crises approach the problem using top-down formulas that often fail to match local needs and priorities, and are rarely evaluate...
Deforestation and land conversion have dramatic consequences to biodiversity and disease emergence, but they are also deep-rooted in historical forces involved in environmental injustice. Global guidelines tackling global crises approach the problem using top-down formulas that often fail to match local needs and priorities, and are rarely evaluate...
We conducted an exploratory serological survey to evaluate the exposure of Bornean wild carnivores to several viruses common to domestic felids, at interface areas between protected forest and industrial agriculture in the Kinabatangan floodplain (Sabah, Malaysia). Blood samples, collected from wild carnivores (n = 21) and domestic cats (n = 27), w...
The Asian water monitor lizard, Varanus salvator, is one of the largest predators in Southeast Asia which persists in human-dominated landscapes and, as such, is a suitable model to understand the behavioral plasticity of generalists in anthropogenic landscapes. We used Local Convex Hull with adaptive algorithm to estimate the home range size of 14...
In Borneo, oil palm plantations have replaced much of natural resources, where generalist species tend to be the principal beneficiaries, due to the abundant food provided by oil palm plantations. Here, we analyse the distribution of the Asian water monitor lizard (Varanus salvator) population within an oil palm-dominated landscape in the Kinabatan...
Context
Agricultural land use is expanding and is a major driver of the biodiversity crisis. Land use planning initiatives seeking to optimize wildlife conservation are hindered by a lack of baseline data quantifying species’ tolerance to human-modified landscapes.
Objectives
We explored the influence of landscape characteristics on the fine-scale...
Agricultural development is a major threat to global biodiversity, and effective conservation actions are crucial. Physiological repercussions of life alongside human-modified landscapes can undermine adaptable species' health and population viability; however, baseline data are lacking for many wildlife species. We assessed the physiological statu...
There is currently no available information regarding the veterinary management of Sunda clouded leopards (Neofelis diardi), either in captivity or in the wild. In this study, 12 Sunda clouded leopards were anesthetized between January 2008 and February 2014 for medical exams, and/or GPS-collaring. Seven wild-caught individuals were kept in captivi...
The application of advanced technologies to the study of little-known species is a necessary step in generating effective conservation strategies. Despite the biological importance of the small carnivore guild, a paucity of data exists in terms of the spatial ecology of these species, largely due to logistical constraints of large and bulky collar...
West Nile virus (WNV) has caused disease in humans, equids, and birds at lower frequency in Mexico than in the United States. We hypothesized that the seemingly reduced virulence in Mexico was caused by attenuation of the Tabasco strain from southeastern Mexico, resulting in lower viremia than that caused by the Tecate strain from the more northern...
Questions
Question (1)
I am following the vignette's protocol for the design II in AdehabitatHS using my data. But when I try to rasterize the polygons (14):
>pcc<-mcp(locs[,"Name"],unout="km2")
>pcc#it is a Spatial Polygons Data Frame showing the 14 polyogns
>image(maps)
>plot(pcc, col=rainbow(14),add=TRUE)
>hr<-do.call("data.frame",lapply(1:nrow(pcc),function(i){over(maps,geometry(pcc[i,]))}))
>hr[is.na(hr)]<-0
>names(hr)<-slot(pcc,"data")[,1]
>coordinates(hr)<-coordinates(maps)
>gridded(hr)<-TRUE
I got the following Error:
suggested tolerance minimum: 4.36539e-08
Error in points2grid(points, tolerance, round) :
dimension 2 : coordinate intervals are not constant
I would appreciate any suggestion on how to solve this problem.
I cannot figure out if this is a problem with my rasters (4 images) or with the Polygons, although I strongly believe this last ones are the issue.