R. Tingley
Ecological Modeling · 2013–2020
A researcher in the Science corpus: 10 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 138 citations into it; #1,692 of 2,530 by trust here, #533 by citations
- Ecology — 122 citations into it
- Nature and Landscape Conservation — 108 citations into it; #5,049 of 6,941 by trust here, #1,378 by citations
- Global and Planetary Change — 39 citations into it; #6,990 of 10,225 by trust here, #7,962 by citations
- Ecology, Evolution, Behavior and Systematics — 32 citations into it
- Statistics and Probability — 13 citations into it
- Paleontology — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom R. Tingley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shai Meiri
- Michael R. Kearney
- Lucie Bland
- M. Böhm
- Antoine Guisan
- Michael P. Austin
- Eric R. Ziegel
- U. Roll
- Olivier J. Hardy
- D. G. Chapple
Who trusts R. Tingley overall
Papers from R. Tingley's perspective
Ordered by how strongly the researchers R. Tingley trusts endorse each paper. Same corpus, a different order for every researcher.
- Predictive habitat distribution models in ecology
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- The Impact of Conservation on the Status of the World’s Vertebrates (Science)
- COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD‐GROWTH INDIGENOUS FORESTS
- Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. (Ecology Letters)
- Assisted Colonization and Rapid Climate Change (Science)
- A SYSTEMATIC ANALYSIS OF FACTORS AFFECTING THE PERFORMANCE OF CLIMATIC ENVELOPE MODELS
- Niche‐based modelling as a tool for predicting the risk of alien plant invasions at a global scale (Global Change Biology)
- Generalized Linear Models
- Global Biodiversity Conservation Priorities (Science)
Their papers
- Defining and evaluating predictions of joint species distribution models (2020) — 57 citations
- Quantifying extinction risk and forecasting the number of impending Australian bird and mammal extinctions (2018) — 93 citations
- Dealing with false‐positive and false‐negative errors about species occurrence at multiple levels (2017) — 123 citations
- Addressing knowledge gaps in reptile conservation (2016) — 103 citations
- Conservation planners tend to ignore improved accuracy of modelled species distributions to focus on multiple threats and ecological processes (2016) — 135 citations
- Assessing the cost‐efficiency of environmental DNA sampling (2016) — 130 citations
- Microclimate modelling at macro scales: a test of a general microclimate model integrated with gridded continental‐scale soil and weather data (2014) — 126 citations
- Understanding co‐occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM) (2014) — 646 citations
- Life-history traits and extrinsic threats determine extinction risk in New Zealand lizards (2013) — 114 citations
- Predicting species distributions for conservation decisions (2013) — 1,965 citations