scispace - formally typeset
M

Mark P. Robertson

Researcher at University of Pretoria

Publications -  102
Citations -  4901

Mark P. Robertson is an academic researcher from University of Pretoria. The author has contributed to research in topics: Introduced species & Biodiversity. The author has an hindex of 37, co-authored 96 publications receiving 4172 citations. Previous affiliations of Mark P. Robertson include Rhodes University & Westmead Hospital.

Papers
More filters
Journal ArticleDOI

A comparative approach to understanding factors limiting abundance patterns and distributions in a fig tree–fig wasp mutualism

TL;DR: This work is supported by a National Research Foundation postdoctoral fellowship to MW and Grant number FA2007050800023 to JMG.
Journal ArticleDOI

Human‐mediated introductions of Australian acacias – a global experiment in biogeography

TL;DR: In a recent special issue of Diversity and Distributions as mentioned in this paper, 20 papers focused on the global cross-disciplinary experiment of introduced Australian acacias (1012 recognized species native to Australia) have been moved extensively around the world by humans over the past 250 years.
Journal ArticleDOI

Ensemble models predict Important Bird Areas in southern Africa will become less effective for conserving endemic birds under climate change.

TL;DR: DST-NRF Centre of Excellence for Invasion Biology, the University of Pretoria, EU FP6 MACIS species targeted project (Minimisation of and Adaptation to Climate change: Impacts on biodiversity, contract No. 044399) and EU FP 6 ECOCHANGE integrated project (Challenges in assessing and forecasting biodiversity and ecosystem changes in Europe).
Journal ArticleDOI

Introduced and invasive cactus species: a global review

TL;DR: The invasive taxa represent an interesting subset of the total pool: they occur in two of the three major phylogenetic clades and in 13 of the 130 cactus genera, they possess five of the 12 cactus growth forms, and they tend to have larger native ranges.
Journal ArticleDOI

A PCA-based modelling technique for predicting environmental suitability for organisms from presence records

TL;DR: In this paper, a correlative modelling technique that uses locality records (associated with species presence) and a set of predictor variables to produce a statistically justifiable probability response surface for a target species is presented.