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Dive into the research topics where Cam McDonald is active.

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Featured researches published by Cam McDonald.


Journal of Vegetation Science | 1993

Comparing three classification strategies for use in ecology

Lee Belbin; Cam McDonald

We compare three common types of clustering algorithms for use with community data. TWINSPAN is divi- sive hierarchical, flexible-UPGMA is agglomerative and hierarchical, and ALOC is non-hierarchical. A balanced de- sign six-factor model was used to generate 480 data sets of known characteristics. Recovery of the embedded clusters suggests that both flexible UPGMA and ALOC are signifi- cantly better than TWINSPAN. No significant difference existed between flexible UPGMA and ALOC.


Archive | 2011

Farming Systems, Emerging Farmers and Land Reform in the Limpopo Province of South Africa

Anthony Whitbread; Neil MacLeod; Cam McDonald; Bruce C. Pengelly; Kingsley Ayisi

Limpopo Province, in the north of the Republic of South Africa, has traditionally had two agricultural sectors, commercial and subsistence, that evolved under the land and social policies of pre-democracy governments. Post-apartheid land reform has created opportunities for the previously disadvantaged population to own and farm land. These new farmers, together with subsistence farmers attempting to commercialise, now make up a middle group termed the ‘emerging farmer’ sector. However, these emerging farmers face significant barriers that include lack of secure tenure inadvertently created by government policies and inadequate delivery of government services. Other challenges result from poor knowledge about farming, lack of motivation and organisation, and previous unsustainable land management practices. Despite these barriers, new farming systems are developing which provide farmers with opportunities to share resources, and to co-operate in purchasing better quality inputs, in the development of specialised markets for livestock, and in bulking commodities and other farm produce to meet market specifications. Many of these opportunities will require outside assistance to develop new systems and build human capacity. Improving the livelihood of emerging farmers needs an integrated approach between the farmers, extension workers, research and development advisors and government policy makers. Intervention strategies must take into account the risk, resource constraints and the social and economic objectives of the individuals or groups concerned, with progress through small incremental changes. This chapter provides background on the origins of the emerging farmer sector and focuses on practical opportunities for supporting these farmers.


Environmental Modelling and Software | 2014

APSIM - Evolution towards a new generation of agricultural systems simulation

Dean P. Holzworth; Neil I. Huth; Peter deVoil; Eric J. Zurcher; Neville I. Herrmann; Greg McLean; Karine Chenu; Erik van Oosterom; V. O. Snow; Chris Murphy; Andrew D. Moore; Hamish E. Brown; Jeremy Whish; Shaun Verrall; Justin Fainges; Lindsay W. Bell; Allan Peake; Perry Poulton; Zvi Hochman; Peter J. Thorburn; Donald Gaydon; N. P. Dalgliesh; D. Rodriguez; Howard Cox; Scott C. Chapman; Alastair Doherty; Edmar Teixeira; Joanna Sharp; Rogerio Cichota; Iris Vogeler


Agricultural Systems | 2010

A participatory, farming systems approach to improving Bali cattle production in the smallholder crop–livestock systems of Eastern Indonesia

S Lisson; Neil MacLeod; Cam McDonald; Jeff Corfield; Bruce C. Pengelly; Lalu Wirajaswadi; Rahmat Rahman; Syamsu Bahar; Rusnadi Padjung; Nasruddin Razak; Ketut Puspadi; Dahlanuddin; Yusuf Sutaryono; Sania Saenong; Tanda Panjaitan; Lia Hadiawati; Andrew Ash; Lisa E. Brennan


Agricultural Systems | 2012

Whole-farm effects of livestock intensification in smallholder systems in Gansu, China

Adam M. Komarek; Cam McDonald; Lindsay W. Bell; Jeremy P.M. Whish; Michael Robertson; Neil MacLeod; William D Bellotti


Agricultural Systems | 2015

Boosting the productivity and profitability of northern Australian beef enterprises: Exploring innovation options using simulation modelling and systems analysis

Andrew Ash; Leigh P. Hunt; Cam McDonald; Joe C. Scanlan; Lindsay W. Bell; Robyn Cowley; Ian Watson; John G. McIvor; Neil MacLeod


Rangeland Journal | 2014

A comparison of stocking methods for beef production in northern Australia: pasture and soil surface condition responses

Trevor J. Hall; John G. McIvor; David J. Reid; Paul Jones; Neil MacLeod; Cam McDonald; David R. Smith


Agricultural Systems | 2012

Engaging project proponents in R&D evaluation using bio-economic and socio-economic tools

Geoff Kuehne; Cam Nicholson; Michael Robertson; Rick Llewellyn; Cam McDonald


Archive | 2011

Adoption of improved feeding and mating strategies and their impact on productivity of Bali cattle under small holder conditions in Lombok, Indonesia

Dahlanuddin; Ketut Puspadi; Yusuf Sutaryono; Cam McDonald; Monica van Wensveen


Archive | 2007

Pre-emptive control of four persistent forage legumes in grassland environments in Queensland – a case study of an evolving eradication program

Kendrick Cox; Bob Clem; Trevor J. Hall; Terry Hilder; Mark Keating; Richard G. Silcock; Christopher Gardiner; Cam McDonald

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Neil MacLeod

Commonwealth Scientific and Industrial Research Organisation

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Andrew Ash

Commonwealth Scientific and Industrial Research Organisation

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Bruce C. Pengelly

Commonwealth Scientific and Industrial Research Organisation

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John G. McIvor

Commonwealth Scientific and Industrial Research Organisation

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Lindsay W. Bell

Commonwealth Scientific and Industrial Research Organisation

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Michael Robertson

Commonwealth Scientific and Industrial Research Organisation

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Allan Peake

Commonwealth Scientific and Industrial Research Organisation

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