Olga L. Hernández-Manrique
Ecological Modeling · 2011
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 20 citations into it; #2,375 of 2,530 by trust here, #2,047 by citations
- Nature and Landscape Conservation — 15 citations into it; #6,645 of 6,941 by trust here, #5,573 by citations
- Ecology — 12 citations into it; #10,228 of 10,717 by trust here, #8,686 by citations
- Genetics — 7 citations into it
Whom Olga L. Hernández-Manrique trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jorge Soberón
- Antoine Guisan
- Jorge M. Lobo
- A. Townsend Peterson
- Oren Farber
- Miguel B. Araújo
- Linda Beaumont
- Wilfried Thuiller
Who trusts Olga L. Hernández-Manrique overall
Papers from Olga L. Hernández-Manrique's perspective
Ordered by how strongly the researchers Olga L. Hernández-Manrique trusts endorse each paper. Same corpus, a different order for every researcher.
- Predictive habitat distribution models in ecology
- INTERPRETATION OF MODELS OF FUNDAMENTAL ECOLOGICAL NICHES AND SPECIES' DISTRIBUTIONAL AREAS
- Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (The Quarterly review of biology)
- Niche‐based modelling as a tool for predicting the risk of alien plant invasions at a global scale (Global Change Biology)
- Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions
- Niches and distributional areas: Concepts, methods, and assumptions (Proceedings of the National Academy of Sciences of the United States of America)
- Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species’ current and future distributions
- Assessment of alternative approaches for bioclimatic modeling with special emphasis on the Mahalanobis distance
- Five (or so) challenges for species distribution modelling
- The uncertain nature of absences and their importance in species distribution modelling