N. Abrego
Nature and Landscape Conservation · 2013–2020
A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 159 citations into it; #3,514 of 6,941 by trust here, #2,947 by citations
- Ecological Modeling — 129 citations into it
- Ecology — 86 citations into it
- Ecology, Evolution, Behavior and Systematics — 84 citations into it; #2,472 of 6,648 by trust here, #2,837 by citations
- Plant Science — 34 citations into it; #4,943 of 8,232 by trust here, #6,797 by citations
- Insect Science — 26 citations into it; #683 of 2,259 by trust here, #1,194 by citations
- Statistics and Probability — 19 citations into it
- Artificial Intelligence — 12 citations into it
Whom N. Abrego trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tue Tjur
- Otso Ovaskainen
- Calyampudi R. Rao
- David I. Warton
- Anthony R. Ives
- Anirban Bhattacharya
- Antoine Guisan
- C. Bässler
- Nicholas Gotelli
- David B. Dunson
Who trusts N. Abrego overall
Papers from N. Abrego's perspective
Ordered by how strongly the researchers N. Abrego trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- COMPETITIVE INTERACTIONS BETWEEN TREE SPECIES IN NEW ZEALAND'S OLD‐GROWTH INDIGENOUS FORESTS
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Rebuilding community ecology from functional traits. (Trends in Ecology & Evolution)
- Spatial autocorrelation and red herrings in geographical ecology
- Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
- Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range
- Systematic conservation planning (Nature)
- Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the Holy Grail
- The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling (Biological Reviews of The Cambridge Philosophical Society)
Their papers
- Joint species distribution modelling with the r‐package Hmsc (2020) — 422 citations
- A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels (2019) — 493 citations
- How to make more out of community data? A conceptual framework and its implementation as models and software. (2017) — 897 citations
- Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context (2017) — 165 citations
- Measuring and predicting the influence of traits on the assembly processes of wood‐inhabiting fungi (2017) — 114 citations
- Using latent variable models to identify large networks of species‐to‐species associations at different spatial scales (2016) — 199 citations
- Variety of woody debris as the factor influencing wood-inhabiting fungal richness and assemblages: Is it a question of quantity or quality? (2013) — 101 citations