Multi-model ensemble projections of climate change effects on global marine biodiversity

By Miranda C. Jones, Wwl Cheung. 2015

287 citations recorded by the source corpus.

Subfields: Ecological Modeling, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/b1ffba23375cc28b465c02995c084029abf3d445

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. Miranda C. Jones
2. Daniel M. Palacios
3. Anthony J. Richardson
4. W. Nelson
5. Pippa J. Moore
6. E. Hazen
7. G. Hays
8. C. Lundquist

In Global and Planetary Change

1. M. Peck
2. Marc Hufnagl
3. Jacques‐Olivier Laloë
4. N. Esteban
5. J. Berkel
6. Miranda C. Jones
7. G. Hays
8. Ignacio A. Catalán

In Oceanography

1. G. Hays
2. Pippa J. Moore
3. M. Peck
4. Miranda C. Jones
5. Marc Hufnagl
6. Anthony J. Richardson
7. B. Halpern
8. E. Poloczanska

Citations in the corpus

• Small pelagic fish in the new millennium: A bottom-up view of global research effort (2020, background): “decade depending on the severity of global warming (Jones and Cheung, 2015; Jones et al., 2015).”
• Contrasting futures for ocean and society from different anthropogenic CO2 emissions scenarios (2015, unknown): “6 by mid–21st century relative to the years 2000s (42).”
• Sand temperatures for nesting sea turtles in the Caribbean: Implications for hatchling sex ratios in the face of climate change (2016, background): “Species abundances and distributions are shifting due to the changing environment (Jones and Cheung, 2015; Poloczanska et al., 2013).”
• An updated synthesis of the observed and projected impacts of climate change on the chemical, physical and biological processes in the oceans (2015, unknown): “, 2014 ; Jones and Cheung , 2014 ; Kim et al .”
• Dynamic ensemble models to predict distributions and anthropogenic risk exposure for highly mobile species (2019, background): “As a result, ensemble model approaches are increasingly recommended for marine species distribution mod‐ elling (Jones & Cheung, 2014; Robinson et al., 2017), motivating fur‐ ther evaluation of their application to dynamic management.”
• Projecting changes in the distribution and productivity of living marine resources: A critical review of the suite of modelling approaches used in the large European project VECTORS (2016, background): “A similar comparison has also been made for global projections (Jones and Cheung, 2014).”
• A Systematic Review of Marine-Based Species Distribution Models (SDMs) with Recommendations for Best Practice (2017, methodology): “By employing multiple approaches, it is possible to compare the outputs using different algorithms (Jones and Cheung, 2015).”
• Climate velocity and the future global redistribution of marine biodiversity (2015, background): “Global Ecology and Biogeography 2007, 16(6): 743753.”