Arnold is a Research Fellow at Centre for Crop and Disease Management, Curtin University. He is an environmental scientist with more than 15 years of research experience in agriculture, natural resource, applied climate science, human ecology, quantitative geography, and geographic information system. In 2021, he was awarded as one of the Outstanding Young Scientists by the National Academy of Science and Technology (Philippines) for his contribution to the advancement of human ecological research in the country. He is the founding Editor-in-Chief of the Journal of Human Ecology and Sustainability and also serves on the Editorial Board of Spatial Information Research, and SN Social Sciences.
I am the Director of Spatial Planning and Innovation at the Nature Conservancy of Canada and an Adjunct Research Professor at Carleton University, studying the ecological impacts of human activities and develop novel techniques to prioritize conservation areas and strategies. I have a theoretical and applied background in quantitative ecology and statistics and spatial big data analysis. I develop novel analytical tools for researchers and other practitioners to explore and use in conservation planning and management.
I am an Associate Investigator in palaeo-ecological vegetation modeling for the new ARC Centre of Excellence for Australian Biodiversity and Heritage (CABAH). I am also a Research Fellow in environmental modeling and climate change in the Department of Biological Sciences at Macquarie University.
My profile at Macquarie University: https://directory.science.mq.edu.au/users/1600
My profile at Flinders University: https://www.flinders.edu.au/people/farzin.shabani
ARC Centre of Excellence for Australian Biodiversity and Heritage (CABAH): https://epicaustralia.org.au/
Degree in Meteorology from University of São Paulo (1983), Master in Oceanography (Physical Oceanography) from University of São Paulo (1989) and PhD from University of Southampton, England (1994). In 1995 held postdoctoral activities in the Oceanographic Institute at USP. Experience in Physical Oceanography and Meteorology, with emphasis on numerical modelling and in situ observations of air-sea interaction (oceanic and atmospheric turbulence) and micrometeorology (Planetary boundary layer, turbulence, radiation and energy balances, turbulent fluxes). Study of the atmosphere and ocean in Equatorial and Antarctic regions.
Stefan Steiniger is a Professor at the School of Construction and Transport Engineering at Pontificia Universidad Catolica de Valparaiso, Chile, and in charge of the spatial data infrastructure/observatory of the Chilean Centre for Urban Sustainable Development (CEDEUS). With a background in automated geo-visualization, spatial data analysis, geodesy and geo-information technologies in general he has a wide interest in developing free & open source GIS tools and their applications in diverse fields including cartography, wildlife ecology, landscape ecology, urban planning, and transportation. His latest research focuses on (i) developing web platforms for urban accessibility analysis - such as CiudadCaminable.com and Walkability.App, (ii) processes and tools for the calculation (Python and R), visualisation (Dashboards) and management of sustainable city indicators and their data, as well as (iii) the development of scenario modelling tools for urban planning.
Dr. Armando Sunny is a Researcher and Professor within the Applied Biological Sciences Research Center, Science Faculty at the Autonomous University of the State of Mexico (UAEM).
He is interested to know how certain features of the landscape affect the genetic diversity and structure of species in anthropized environments, for this he performs analysis of landscape genetics, population genetics, niche modeling, SIG, landscape connectivity and global change analysis, especially in amphibians and reptiles.
My contribution to the field of Ecology as a geographer includes the development of a new spatially and temporally explicit modeling approach. This approach allows to better understand the impact of the hydrological cycle on ecosystem productivity and soil erosion. The novelty in this approach lies in the ability to simulate field (rather than synthetic) conditions of spatial heterogeneity and temporal dynamics using GIS. This allows confronting advanced mathematical models with ecosystem complexity by using experiments, observations and measurements. The research group I established introduced the concept of coupling numeric simulation using Richard's equations with real conditions of semiarid hillslopes using spatial databases. This way we were able to compute water budgets in the heterogeneous stony soils of dry environments. This modelling approach was also used to tackle current practical questions such as the effect of climate change on ecosystem productivity.
The broad view on ecohydrological processes helped me to get invited as Guest Editor to edit two special issues in two leading journals: Water Resources Research (WRR) and Geomorphology, and to author two review papers (published in Int. J. of Remote Sensing and in Movement Ecology). My experience allowed me also to initiate and lead an international workshop on Confronting Mathematical Models with Ecosystem Complexity, hosting distinguished scientists from all over the world.
I am a quantitative ecologist interested in ecological forecasting and the stability of populations, communities, and ecosystems. I have expertise in statistical analyses of ecological systems, population modeling, and the analysis of remote sensing data to address environmental problems.
Gregg Verutes is a biogeographer currently supporting Blue Forest Conservation's data management, visualization, and reporting systems. He specializes in blending the fields of conservation and technology to empower planners, managers, and analysts who are passionate about protecting the multitude of benefits flowing from ecosystems to people. He has previously worked for the National Geographic Society, Audubon Society, World Wildlife Fund, and Stanford University. Gregg received his Ph.D. in Marine Science & Technology from the University of Santiago de Compostela, a M.Sc. in Geographic Information Science from San Diego State University, and B.Sc. in Policy Analysis & Management from Cornell University.
Jingzhe Wang received his Ph. D in Cartography and Geographic Information System from Xinjiang University, Urumqi, China, in 2019. He is now working as a research associate at MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University. His research interests focus on Earth observation and remote sensing, spectral modeling, quantitative estimation of soil properties, digital soil mapping, GIS, spatial analysis, and environmental sustainability. He has published over 60 papers in peer-reviewed international journals in these related research areas and has served as a reviewer for many journals and conferences including Remote Sensing of Environment, Ecological Indicators, Computers and Electronics in Agriculture.
Qiang Wang received a Ph.D in Environmental Science from the Chinese Academy of Science in 2009, was an Associate Professor (2010) at the Qingdao Institute Of Bioenergy & Bioprocess Technology, Chinese Academy Of Sciences, and a Professor (2011-16) at Xinjiang Ecology And Geography Institute, Chinese Academy Of Sciences, and then moved to China University of Petroleum (2016-2022). His research focuses on energy-environment-health issues through multidisciplinary research methods
Through clever use of time series statistical models (e.g., joint regression models, variable intercept models, variable coefficient models), high-precision combined forecasting models (e.g. gray forecasting and neural network models combined forecasting models), multilateral input-output models, decomposition models (e.g. index decomposition method, structural decomposition method), Dr. Wang has published more than 180 peer-reviewed papers (corresponding author) in high profile English journals.
These papers have been cited over 8,800 (Google Scholar)/ 7,100(Scopus)/ 6,200 (WoS) times by October 2022. 19 papers are selected as global ESI 0.1% Hot Papers, and 36 papers are selected as global ESI 1% Highly Cited Papers that perform in the top 1%. Dr. Wang’s h index is 53 (Google Scholar)/ 49(Scopus)/ 46 (WoS).
Professor of Geography at Louisiana State University. Research interests include Geocomputation, GeoAI, Remote Sensing of water, Spectroscopic analyses, and mapping flood hazards.