Linking variability in species composition and MODIS NDVI based on beta diversity measurements

By Kate S. He, Jianting Zhang, Qiaofeng Zhang. 2009

71 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/f45308aad254d9b82ce111f99d31b4441ebcac47

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. Markus Neteler
2. Duccio Rocchini
3. Giles M. Foody
4. Nathalie Pettorelli
5. Harini Nagendra
6. Carlo Ricotta
7. Kate S. He
8. Jens Oldeland

In Ecology

1. Duccio Rocchini
2. Thomas W. Gillespie
3. Markus Neteler
4. Giles M. Foody
5. Nathalie Pettorelli
6. Harini Nagendra
7. Carlo Ricotta
8. Kate S. He

In Nature and Landscape Conservation

1. Giles M. Foody
2. Nathalie Pettorelli
3. Harini Nagendra
4. Carlo Ricotta
5. Kate S. He
6. Jens Oldeland
7. Duccio Rocchini
8. Markus Neteler

Citations in the corpus

• Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges (2010, background): “…al., 2003), Western Ghats (India) tropical forests (Krishnaswamy et al., 2009), tropical dry forests (Rocchini et al., 2009), North and South Carolina (US) lowlands and floodplains (He et al., 2009), and African savannas (Rocchini et al., 2010), to global worldwide assessments (He and Zhang, 2009).”
• Will remote sensing shape the next generation of species distribution models? (2015, background): “Even with a few spectral bands, it is possible to separate functional types of vegetation (i.e. grasslands, forests, deserts, salt marshes, etc.) across broad spatial extents (He et al. 2009).”