Big data for forecasting the impacts of global change on plant communities

By Janet Franklin, J. Serra-Diaz, Alexandra D. Syphard, Helen M. Regan. 2017

105 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/ed04ce40b24d03de29fd8674d6ed1e4221cc32bb

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. Jane Elith
2. Antoine Guisan
3. Wilfried Thuiller
4. A. Townsend Peterson
5. Miguel B. Araújo
6. Janet Franklin
7. N. E. Zimmermann
8. Jorge M. Lobo

In Ecology

1. Jane Elith
2. Antoine Guisan
3. Wilfried Thuiller
4. A. Townsend Peterson
5. Miguel B. Araújo
6. Janet Franklin
7. N. E. Zimmermann
8. Jorge Soberón

In Nature and Landscape Conservation

1. Jane Elith
2. Antoine Guisan
3. Wilfried Thuiller
4. A. Townsend Peterson
5. Miguel B. Araújo
6. Janet Franklin
7. N. E. Zimmermann
8. Jorge M. Lobo

Citations in the corpus

• A standard protocol for reporting species distribution models (2020, methodology): “This boom in SDM studies is likely related to the increasing availability of digital data (Jetz et al. 2012, Franklin et al. 2017, Wüest et al. 2020) and easy-to-use software packages (Phillips et al. 2006, Thuiller et al. 2009, Brown 2014, Naimi and Araújo 2016, Golding et al. 2018, Kass et al.…”