Stacked species distribution models and macroecological models provide congruent projections of avian species richness under climate change

By T. Distler, J. Schuetz, J. Velásquez-Tibatá, G. Langham. 2015

85 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/55f1488ad063779232cb3bd64f920fb9ab823589

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Victoria Nolan
2. Emad Kaky
3. Francis Gilbert
4. Abdulaziz S. Alatawi

In Ecology

1. Victoria Nolan
2. Emad Kaky
3. Francis Gilbert
4. Abdulaziz S. Alatawi

In Nature and Landscape Conservation

1. Victoria Nolan
2. Emad Kaky
3. Francis Gilbert
4. Abdulaziz S. Alatawi

Citations in the corpus

• A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants (2020, methodology): “Modelling species richness by stacking the habitat suitability maps for individual species is an important conservation tool (Benito et al., 2013; Distler et al., 2015), despite its tendency to overestimate species richness (Algar et al., 2009).”
• Machine learning and deep learning—A review for ecologists (2022, unknown): “…management (Dietterich et al., 2012; Scowen et al., 2021 ), wildlife management (Humphries et al., 2018 ) and conservation (see Tuia et al., 2022 ), assessing the risk of invasive species (Barbet-Massin et al., 2018 ; Jensen et al., 2020 ), and biodiversity assessments (Distler et al., 2015).”