Monthly Archives: March 2017

The challenge of monitoring elusive large carnivores: An accurate and cost-effective tool to identify and sex pumas (Puma concolor) from footprints

journal.pone.0172065.g003

Sky Alibhai , Zoe Jewell , Jonah Evans

Abstract

 

Acquiring reliable data on large felid populations is crucial for effective conservation and management. However, large felids, typically solitary, elusive and nocturnal, are difficult to survey. Tagging and following individuals with VHF or GPS technology is the standard approach, but costs are high and these methodologies can compromise animal welfare. Such limitations can restrict the use of these techniques at population or landscape levels. In this paper we describe a robust technique to identify and sex individual pumas from footprints. We used a standardized image collection protocol to collect a reference database of 535 footprints from 35 captive pumas over 10 facilities; 19 females (300 footprints) and 16 males (235 footprints), ranging in age from 1–20 yrs. Images were processed in JMP data visualization software, generating one hundred and twenty three measurements from each footprint. Data were analyzed using a customized model based on a pairwise trail comparison using robust cross-validated discriminant analysis with a Ward’s clustering method. Classification accuracy was consistently > 90% for individuals, and for the correct classification of footprints within trails, and > 99% for sex classification. The technique has the potential to greatly augment the methods available for studying puma and other elusive felids, and is amenable to both citizen-science and opportunistic/local community data collection efforts, particularly as the data collection protocol is inexpensive and intuitive.

Read article here…

PLOS-One

PlosONE. Published: March 8, 2017. http://dx.doi.org/10.1371/journal.pone.0172065

CitSci.org and CyberTracker Team Up to Advance Citizen Science

Odzala-Damase

by: Sarah Newman | February 16th, 2017 6:00 am

The year is 2001 and this is Central Africa. Reports are trickling in about an Ebola outbreak. The outbreak is unanticipated. Data for tracking and predicting the spread of the outbreak are scarce. Lives are at stake. What do you do?

Enter CyberTracker.

CyberTracker is a downloadable desktop software application developed to assist non-literate wild animal trackers collecting data about animal movements and behavior. CyberTracker, developed by Louis Liebenberg, Associate of Human Evolutionary Biology at Harvard University and Justin Stevenson, lead software developer, is a participatory citizen science project. Trackers reported data on gorilla and other wildlife in Central Africa at the time of the 2001 Ebola outbreak. The European Commission was funding part of the project at that time and turned to CyberTrackers for help.

CyberTracker patrol data showed presence of lowland gorilla before the outbreak and absence over a large area after the outbreak. When subsequent Ebola outbreaks occurred in Gabon and later in the Republic of the Congo, CyberTracker data again came to the rescue. Data showed a significant drop in signs of gorilla, chimpanzee, duiker and bushpig. Wild animal Ebola outbreaks, it turns out, began before each of the five human Ebola outbreaks. By keeping an eye on CyberTracker data, it became possible to alert health authorities to an imminent risk for human Ebola outbreaks on two different occasions weeks before they occurred.

“One of the great features of CyberTracker software is that it was developed with an icon-based user interface that enables expert non-literate trackers to record complex geo-referenced observations on animal behaviour,” says Louis Liebenberg.

But…there’s a catch.

“Unfortunately CyberTracker data are not yet available online. Cybertracker does not have an online back-end, which makes it impractical for citizen science projects, since it is not easy for citizens to get access to the data. Instead, data are stored in a physical Access database on individual PCs or, in MySQL, MSSQL Server, or PostGreSQL databases on a server. That’s where we come in,” says Greg Newman, a scientist with the Natural Resources Ecology Laboratory.

That ‘we’ is the team at Colorado State University’s CitSci.org. In 2007, while CyberTracker software was continuing to be used to alert health officials of Ebola outbreaks, researchers at CitSci.org were busy developing an online platform to allow people around the world to create their own online, open, and easily shared citizen science and community based monitoring projects. They set about developing a platform that allows individuals and groups to create and customize their own citizen science projects in much in the same way that CyberTracker users configure their own apps.

So – it comes to no surprise that these two innovators – CyberTracker and CitSci.org – eventually became aware of each other’s work. They formed a collaborative team and recently received a $1 million grant from the National Science Foundation’s Software Infrastructure for Sustained Innovation Directorate, SI2-SSI entitled Advancing and Mobilizing Citizen Science Data through an Integrated Sustainable Cyberinfrastructure, to integrate these two innovative software systems.

This new collaboration between CyberTracker and CitSci.org (dubbed the cyberFABRICS project) is novel in the rapidly growing field of citizen science because it focuses on integration of existing systems and interoperability between existing systems. Rather than build yet another platform or app or desktop software application, this grant instead wrestles with the challenge of integrating existing systems in a plug-and-play way to amplify the utility and reach of existing software.

By making the millions of scientific observations made by CyberTracker users freely available and accessible online via CitSci.org – the grant will mobilize these important scientific datasets and empower others to combine them in what are called meta-synthetic studies to generate novel findings and advance knowledge. Additionally, by extending the capabilities of CitSci.org to support the icon-based user interfaces of CyberTracker –  the reach and utility of CitSci.org will also be amplified – allowing the platform to better serve anyone – regardless of their literacy, language, locale or age. Other examples of envisioned software integrations enabled through this project include automated sharing of CitSci.org and CyberTracker species observations with the popular and global iNaturalist network of voluntary naturalists and enthusiasts that vet species identifications and the sharing of fine-scale meteorological observations made by a network of rain-gauge monitors powered by the Colorado State University-based Community Collaborative Rain, Hail, and Snow Network (CoCoRaHS).

The results of this CyberTracker/CitSci.org partnership are due to be completed by October 2020. When that time comes, those alerting health officials of new Ebola outbreaks will be able to easily post their CyberTracker apps on CitSci.org for others to download and use to report new disease incidences. They will also be able to upload data captured by their CyberTracker apps to CitSci.org – making these data free and open for use by other scientists, partners, collaborators, and stakeholders around the world. The data may prove important for prediction of more than just Ebola. The creative sharing of software and data will open up opportunities to address a much broader array of locally relevant and globally important challenges.

From: CitSci.org Blog
Photos courtesy of Louis Leibenburg. Banner Photo: CyberTracker App; Insert photo: Damase Ekondzo using the CyberTracker app in the Odzala National Park, Republic of Congo