Philippa Kaur

1. Elbert, W. et al. Contribution of cryptogamic covers to the global cycles of carbon and nitrogen. Nature Geoscience 5, 459–462, https://doi.org/10.1038/ngeo1486 (2012). 2. Ramanan, R., Kim, B. H., Cho, D. H., Oh, H. M. & Kim, H. S. Algae-bacteria interactions: Evolution, ecology and emerging applications. Biotechnology Advances 34, 14–29, https://doi.org/10.1016/j.biotechadv.2015.12.003 (2016). 3. Rippin, M., […] More

1. Smith, R. C., Martinson, D. G., Stammerjohn, S. E., Iannuzzi, R. A. & Ireson, K. Bellingshausen and western Antarctic Peninsula region: Pigment biomass and sea-ice spatial/temporal distributions and interannual variabilty. Deep Sea Res. Part II Top. Stud. Oceanogr. 55, 1949–1963 (2008). 2. Schofield, O. et al. Decadal variability in coastal phytoplankton community composition in […] More

Aridity index AI, a measure of climatic dryness, is the ratio of the annual precipitation (P) to annual PET. Drylands are defined as regions where the AI is less than 0.65, and humid regions are defined as the regions where the AI is greater than 0.65. We used previously published global AI datasets with a […] More

The boratic microbialite, Shivlinga Shivlinga is a 35-cm-tall microbialite that is several decades old according to residents of the closest village situated at the eastern end of the Puga valley (Fig. 1A,G). The abundance of microbial biomass on its surface and chemical composition of its mineral body (see below) suggest that Shivlinga has formed via precipitation […] More

Two environmental disasters of large proportions involving mining dams occurred in Brazil in less than four years. Iron ore tailings released by the ruptures of both the Fundão and Brumadinho Dams have similar features, such as fine particulate material, with a majority of silt-clay particles and a predominance of Al, Fe, and Mn9,12,13. The major […] More

A framework to estimate macroscale species abundance In the following sections, we describe a hierarchical modelling approach that estimates species abundance in discrete geographical units (e.g. grid cells) from spatially replicated multispecies detection–nondetection observations, in combination with various data sources indicating the geographic distribution of species (Fig. 1). A hierarchical model is composed of a series […] More

Our study provides the first record of scavenging crustacean taxa in an area of the Chilean Patagonia that is highly likely to be impacted by several anthropogenic activities. We report a total of 14 taxa, including 7 Decapoda (the 11% of species reported for the whole Patagonian region14). Most decapod taxa were found within the […] More

1. Lieth, H. Modeling the Primary Productivity of the World. In Primary Productivity of the Biosphere (eds. Lieth, H. & Whittaker, R. H.) 237–263 (Springer Berlin Heidelberg). https://doi.org/10.1007/978-3-642-80913-2_12 (1975). 2. Gaston, K. J. Global patterns in biodiversity. Nature 405, 220–227 (2000). 3. Altizer, S. et al. Seasonality and the dynamics of infectious diseases: Seasonality and […] More