Geo/spatial information, data, analytics and insights: CAPAD and Koala mapping
Abstract: Big data and data analytics are playing an ever-increasing role in decision-making. In this talk, I will go through my work in research and public service in OZ/NZ with examples from predictive ecological modelling of fauna (land snails in New Zealand, Brush-tailed rock wallaby in NSW and Koala in Qld. My presentation will cover CAPAD (an Australian Collaborative Protected Areas Database) - a key national asset. The map, dataset and associated statistics are significant in demonstrating Australia as a leader and being the first to reach the Aichi protected area goal 11 (at least 17% land and inland water) aiming for 30% by 2030 Kunming UN BCD. CAPAD is used to provide a national perspective on the conservation of biodiversity in protected areas. It also allows Australia to report on the status of protected areas to meet international obligations such as those under the Convention on Biological Diversity (CBD). Australian protected area information is also included in the World Database on Protected Areas (WDPA). I will also talk about the spatial modelling and habitat mapping /planning for koalas - Phascolarctos cinereus in SE Qld – the work has played a significant role in getting the Australian national iconic species (koala / Phascolarctos cinereus - combined populations of Queensland, New South Wales and the Australian Capital Territory) listed as endangered in 2022.
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- UNSW adfa
- Canberra, Australian Capital Territory
- Australia
- Building: Bld 32
- Room Number: SR04
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- Co-sponsored by Xiuping Jia
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Geo/spatial information, data, analytics and insights: CAPAD and Koala mapping
About the speaker: Larry is a professional in geo-eco-environ science engaged in research, community/voluntary and public sectors in several countries. Started with the Chinese Academy of Sciences on applied/landscape ecology and soil science using 3S technologies, then as a visiting scholar at the University of Amsterdam, ITC, and ISRIC in the Netherlands focusing on mobile dune ecosystems and climate change of depositional coasts, Larry investigated landscape metrics and identified the critical threshold scale associated with abrupt changes in landscape connectivity for Brush-tailed Rock-wallaby in SE NSW. He then contributed to the development of Generalized Regression Analysis and Spatial Prediction (GRASP, implemented in S-Plus) through the modelling of invertebrate biodiversity (New Zealand's land snails) using GIS and advanced statistical modelling (i.e. GAM), which was used for predictive modelling of 156 of 583 NZ land snail species and ecologically classified the NZ terrestrial environment - LENZ.
Larry has been consulted for UNEP-UNCHS Sustainable City Programme and coordinated several NZ government programmes (PPP, OSCAR, and Road Safety of LTNZ, etc.). Larry has worked with Australian federal, states (Tas, Vic, NSW, Qld) and local government for the last 15 years covering most of the environmental themes (of now DCCEEW) - maintained and updated several key national spatial datasets (CAPAD, SPRAT, ERF, NRM, NRS, NVIS, IBRA, IMCRA, IPA, RFA, NRM, RAMSA, and contributed to many nationally significant programs including SOE: 2011 & 16, NHT, NLP, 20 Million Trees, Green Army, Bioregional Assessment (Coal, coal seam gas and water), Reef Trust, and the Species Recovery Strategy, NESP, FIRB, Critical Energy and Minerals, etc. He is currently working with QPRC as an Asset GIS Specialist.
Larry has received many awards: Te Kete Matauranga – Going the Extra Mile Award for Outstanding Organisational Service and Te Korowai – Leading Light Award for Outstanding Leadership for his contribution to community and voluntary works in New Zealand; EHP 2018 Excellence Awards by Qld DES, Discover Award by Clearing House Mechanism of Convention on Biodiversity, Cancun 2016 (contributing member), Secretariat Commendation for Collaborative Australian Protected Area Database (CAPAD); NASA – Michigan State University Professional Enhancement Award and Distinguished Foreign Scholar Award (IALE US Chapter); Best Overall, Best Analytical Application at ESRI User conference.