scispace - formally typeset
D

Daniel M. Tompkins

Researcher at Landcare Research

Publications -  87
Citations -  5139

Daniel M. Tompkins is an academic researcher from Landcare Research. The author has contributed to research in topics: Population & Avian malaria. The author has an hindex of 32, co-authored 86 publications receiving 4723 citations. Previous affiliations of Daniel M. Tompkins include University of Oxford & University of Stirling.

Papers
More filters
Journal ArticleDOI

Does farm-scale habitat composition predict pest-bird numbers and distribution?

TL;DR: Either habitat management or the reduction of key seed resources could potentially control pest-bird numbers, but habitat management is likely to have adverse consequences for other important functions (such as the shelter and biodiversity benefits of shelterbelts), and any form of bird control applied at the farm scale is unlikely to be effective.
Journal ArticleDOI

The dynamics of nematode transmission in the red grouse (Lagopus lagopus scoticus): studies on the recovery of Trichostrongylus tenuis larvae from vegetation

TL;DR: Heather plants were exposed to T. tenuis larvae in the laboratory and kept under suitable conditions for larval migration, and significantly more larvae were recovered from heather than from either of the control plants.
Book

Wildlife Disease Ecology:Linking Theory to Data and Application

TL;DR: This book describes key studies that have driven the understanding of the ecology and evolution of wildlife diseases, through the development and testing of important epidemiological and evolutionary theories.
Journal ArticleDOI

The role of multiple wildlife hosts in the persistence and spread of bovine tuberculosis in New Zealand

TL;DR: For modelled forest habitats, 15 years of effective possum control was predicted to eradicate TB from the possum-deer-pig host community, indicating the current focus on Possum-only control is appropriate for such areas, and some estimation of this transmission parameter is required to enable managers to assess if multi-host disease dynamics are important for their TB control programmes.