A5057431735- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Environmental DNA in Biodiversity Studies
- Data Analysis with R
- Rangeland and Wildlife Management
- Research Data Management Practices
- Forest Management and Policy
- Genomics and Phylogenetic Studies
- Ecology and Vegetation Dynamics Studies
- Scientific Computing and Data Management
- Genetic diversity and population structure
- Fish Ecology and Management Studies
- Genetic and phenotypic traits in livestock
- Zoonotic diseases and public health
- Law, AI, and Intellectual Property
- Metabolomics and Mass Spectrometry Studies
- Ethics in Clinical Research
Technion – Israel Institute of Technology
2014-2022
Tel Aviv University
2022
Florida Museum of Natural History
2021
Vilnius University
2021
International Institute of Information Technology
2021
Indian Institute of Information Technology, Nagpur
2021
Galgotias University
2021
Informatics Institute of Technology
2021
Ben-Gurion University of the Negev
2012-2014
Abstract Biodiversity inventory is among the major challenges for conservation biology in face of global change. Species exist two spaces that are linked so‐called Hutchinsonian Duality: distributions geographical space and ecological niches environmental space. We explore implications using distinct methods to select locations biodiversity inventories, based on this idea two‐space distributions. combined empirical statistical facilitate selecting localities either or both considerations....
Abstract Noninvasive genetic sampling has increasingly been used in ecological and conservation studies during the last decade. A major part of noninvasive literature is dedicated to search for optimal protocols, by comparing different methods collection, preservation extraction DNA from materials. However, lack quantitative comparisons among these possibility that are systems make it difficult decide which protocol use. Moreover, most have compared focused on a single factor – or while...
The field of distributional ecology has seen considerable recent attention, particularly surrounding the theory, protocols, and tools for Ecological Niche Modeling (ENM) or Species Distribution (SDM). Such analyses have grown steadily over past two decades—including a maturation relevant theory key concepts—but methodological consensus yet to be reached. In response, following an online course taught in Spanish 2018, we designed comprehensive English-language covering much underlying methods...
A new R package for biodiversity data cleaning, 'bdclean', was initiated in the Google Summer of Code (GSoC) 2017 and is available on github. Several packages have great validation cleaning functions, but 'bdclean' provides features to manage a complete pipeline cleaning; from quality explorations, procedures reporting. Users are able go through control process very structured, intuitive, effective way. modular approach functionality should make this extensible many needs. Under GSoC 2018,...
The bdverse is a collection of packages that form general framework for facilitating biodiversity science in R. We build it to serve as sustainable and agile infrastructure enhances the value data by allowing users conveniently employ R, exploration, quality assessment, cleaning, standardization. supports with without programming capabilities. It includes six unique hierarchal structure — representing different functionality levels (Fig. 1). Major features three core will be highlighted...
Google Summer of Code (GSoC) is a global program, operating since 2005, which brings student developers into open source software development. Students work with different organizations in summer-long programming projects, closely supervised by mentors from the organization. pays students stipend for this three-month program. The selection procedure rigorous, where organization post project ideas on websites, select to on, and develop proposals consultation submit GSoC website. Mentors...
Biodiversity big-data (BBD) has the potential to provide answers some unresolved questions – at spatial and taxonomic swathes that were previously inaccessible. However, BBDs contain serious error bias. Therefore, any study uses BBD should ask whether data quality is sufficient a reliable answer research question. We propose question of could be addressed simultaneously, by binding data-cleaning analysis. The change in signal between pre- post-cleaning phases, addition itself, can used...
Increasing number of scientists are using R for their data analyses, however, proficiency required to manage biodiversity in is considerably rarer. Since, users need retrieve, and assess high-volume with inherent complex structure (Darwin Core standard, DwC), various packages dealing specifically cleaning have been published. Though numerous new procedures now available, implementing them require provide a great deal efforts exploring learning each package. For the common users, this task...
The bdverse is a collection of packages that form general framework for facilitating biodiversity science in R (programming language). Exploratory and diagnostic visualization can unveil hidden patterns anomalies data allow quick efficient exploration massive datasets. development an interactive yet flexible dashboard be easily deployed locally or remotely highly valuable informatics tool. To this end, we have developed 'bddashboard', which serves as agile development. This project built R,...