Professor Oscar Cacho

Professor - UNE Business School

Oscar Cacho

Phone: +61 2 6773 3215



Oscar started his professional life as a marine biologist and later became an economist. His research interests centre on the application of economics and biology (bioeconomics) to tackle problems of sustainability in agriculture and natural resources. His recent work has been in two major areas: the role of carbon markets to address climate change and the economics of biosecurity to protect native ecosystems.

Oscar has been a member of a Technical Advisory Group on Control of Invasive Species in the Galapagos Islands and a visiting expert at the Food and Agricultural Organisation of the United Nations (FAO) in Rome. He has applied his interdisciplinary expertise to address a variety of problems in nature conservation, fisheries, aquaculture, grazing systems, invasive species management, climate policy and sustainable agriculture both in Australia and internationally.


BSc (UAM, Mexico), MSc (Auburn, USA), PhD (Auburn, USA)

Teaching Areas

Bioeconomics; farm and resource management; agricultural risk analysis; natural resource economics; quantitative methods applied to economics; applied production and price analysis; applied computer programming; business decision making.

Research Interests

Agricultural and resource economics; environmental economics; biosecurity economics; climate economics and policy; land-use change and forestry; biodiversity conservation; economics of fisheries and aquaculture.

Recent research activities

To date (June 2015) Oscar has 97 publications (see Publications for details), with several more in the pipeline. He has an h index of 26 in Google Scholar and 18 in Scopus. Oscar has obtained over $2.4 Million in research funds as an academic at UNE. His research is interdisciplinary in nature and in recent times he has been involved in projects on reduced deforestation and forest degradation (REDD+) in Indonesia; Climate-Smart Agriculture in Sub-Saharan Africa; and surveillance and control of invasive species in Australia and New Zealand, with funding from a variety of sources (see Research Grants for details).

Oscar has collaborated with international agencies (including FAO, ASB, CIFOR, ICRAF, ICLARM), universities (including ANU, The University of Melbourne, Monash University, McGill University), and state and Commonwealth government agencies (including the Australian Government Department of Agriculture, ABARES, Biosecurity Queensland, NSW DPI and VIC DPI).

Research Projects

Research Grants ((PDF, 71.03 KB))

Research Interests

Research Supervision Experience

PhD Students ((PDF, 70.72 KB))

Invitations to Seminars and Workshops

Invitations ((PDF, 44.71 KB))


Publications ((PDF, 164.56 KB))

Clinical Skills and Experience

Consultancy Interests

Oscar’s consultancy activities are aligned with his research interests. They have focused on practical approaches to interdisciplinary problems.

Consultancy ((PDF, 53.38 KB))

External Profiles

Related Links


Weed Eradication Feasibility Analysis by Oscar Cacho and Paul Pheloung

This program is written in Visual Basic for Applications and runs within MS Excel. The model combines population dynamics and search theory to calculate the probability that a weed invasion will be eradicated based on the amount of time invested in searching for it (search effort).

This is work in progress. It is envisaged that the software will continue to evolve as it is tested by experts and feedback is received. The original concept for this software was developed by Paul Pheloung (from the Australian Department of Agriculture Fisheries and Forestry) in connection with a project on the Galapagos Islands. The software evolved through the incorporation of search theory and matrix population models.

See Manual (PDF, 982.89 KB)

Click here to download software (ZIP, 5844.71 KB)


The links to these software packages are provided for the dissemination of scientific information. However, they could include technical or other inaccuracies. The author and his affiliated institution disclaim all liability for any loss, damages or costs incurred by any person or organisation as a result of relying on these software packages.

Further Information

Complete CV ((PDF, 338.37 KB))