D. Ward
Ecology · Proceedings of the National Academy of Sciences of the United States of America · 2000–2018
A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 33 citations into it
- Ecological Modeling — 27 citations into it; #251 of 2,530 by trust here, #1,025 by citations
- Ecology, Evolution, Behavior and Systematics — 27 citations into it; #634 of 6,648 by trust here, #3,347 by citations
- Nature and Landscape Conservation — 26 citations into it; #4,779 of 6,941 by trust here, #4,594 by citations
- Genetics — 15 citations into it; #563 of 6,854 by trust here, #3,282 by citations
Whom D. Ward trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven J. Phillips
- R. P. Anderson
- K. Robert Clarke
- R. Sutherst
- A. Townsend Peterson
- A. Zaniewski
- Linda Beaumont
- Antoine Guisan
- A. Suarez
- Lloyd W. Morrison
Who trusts D. Ward overall
- Gentile Francesco Ficetola
- N. Roura‐Pascual
- Jane Elith
- J. S. MacIvor
- Wilfried Thuiller
- M. Koivula
- E. Brockerhoff
- Lluís Brotons
- J. Thorn
- B. Benito
Papers from D. Ward's perspective
Ordered by how strongly the researchers D. Ward trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum entropy modeling of species geographic distributions
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (The Quarterly review of biology)
- Predictive habitat distribution models in ecology
- Evaluating predictive models of species’ distributions: criteria for selecting optimal models
- Extinction risk from climate change (Nature)
- The Value of Museum Collections for Research and Society
- A maximum entropy approach to species distribution modeling (International Conference on Machine Learning)
- Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning
- Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns
Their papers
- Global rise in emerging alien species results from increased accessibility of new source pools (2018) — 598 citations
- Modelling the potential geographic distribution of invasive ant species in New Zealand (2007) — 251 citations
- The diversity and origin of exotic ants arriving in New Zealand via human‐mediated dispersal (2006) — 110 citations
- Terrestrial invertebrate surveys and rapid biodiversity assessment in New Zealand: lessons from Australia (2004) — 88 citations
- HOW WELL DO ECOSYSTEM-BASED PLANNING UNITS REPRESENT DIFFERENT COMPONENTS OF BIODIVERSITY? (2002) — 135 citations
- Effects of Pitfall Trap Spacing on the Abundance, Richness and Composition of Invertebrate Catches (2001) — 192 citations
- Sex differences in parasitic infections among arthropod hosts: is there a male bias? (2000) — 171 citations