S. T. Jackson

Nature and Landscape Conservation · 2006–2013

A researcher in the Science corpus: 8 papers; trusts 6 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom S. T. Jackson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Richard J. Hobbs
  2. D. Sax
  3. C. Parmesan
  4. S. Solomon
  5. F. Hu
  6. Daniel E. Ho

Who trusts S. T. Jackson overall

  1. Harry John Betteley Birks
  2. W. H. van der Putten
  3. Jane Elith
  4. P. Seddon
  5. M. Fitzpatrick
  6. Peter Szabó
  7. S. Kidwell
  8. M. C. Urban
  9. M. Mesgaran
  10. Richard J. Hobbs

Papers from S. T. Jackson's perspective

Ordered by how strongly the researchers S. T. Jackson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Range shifts and adaptive responses to Quaternary climate change. (Science)
  2. Global change and species interactions in terrestrial ecosystems. (Ecology Letters)
  3. Projected distributions of novel and disappearing climates by 2100 AD (Proceedings of the National Academy of Sciences of the United States of America)
  4. Evolutionary consequences of changes in species' geographical distributions driven by Milankovitch climate oscillations. (Proceedings of the National Academy of Sciences of the United States of America)
  5. Spatial modelling of biodiversity at the community level
  6. Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment
  7. Predicting species distribution and abundance responses to climate change: why it is essential to include biotic interactions across trophic levels (Philosophical Transactions of the Royal Society B: Biological Sciences)
  8. Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference (Political Analysis)
  9. Predicting the future of species diversity: macroecological theory, climate change, and direct tests of alternative forecasting methods
  10. Predicting the past distribution of species climatic niches.

Their papers