How do organisms affect and respond to climate change?

Life on Earth is diverse at many levels, meaning there is a lot of variety within species and there are many different kinds of species. This biodiversity provides many of the resources that humans need and enhances our quality of life. All of Earth’s organisms are affected by Earth’s climate, but they also influence Earth’s climate. In this article, we show how research on plants, animals, and microbes helps us better understand how living things can both impact and respond to climate change. This research also gives us insight into what the future might be like for life on Earth. Such knowledge will help us to protect our planet—and the living things on it—from the harmful effects of future climate change

Stable isotope and trace element data for a Siderastrea siderea coral core CIM_C_2-2-1/CIM_C_2-2-2 from the Gulf of Mexico

Massive corals act as a climate archive for the tropical oceans. They can provide valuable information in regions that have no or limited observations such as the southern Gulf of Mexico (GOM), where there is almost no information reaching back to preindustrial times on sea surface temperature (SST) or sea surface salinity (SSS) available. For the reconstruction of SST and SSS in the southern GOM the massive coral Siderastrea siderea was cored in 2005 providing a time window into the past reaching from 1845 to 2005 CE. The coral core was cut and X-rayed and bimothly samples were drilled with a Proxxon drill and 0.4 mm diamant coated drill bit. Oxygen isotopes were measured at the MARUM facilities in Bremen with a Finnigan MAT 251 and Finningan Mat 253plus isotope ratio mass spectrometer. Trace element analysis was done at the ZMT facilities in Bremen on a Plasma Quant MS Elite Inductively Coupled Plasma - Mass Spectrometer. The Dataset also includes reconstructed δ18OSW after data Ren et al. (2002) as well as the detrended δ18OSW dataset and Pseudo Coral model data (Thompson et al., 2011). The age model for the dataset was interpolated using the Arand software Ager and Timer (Howell et al., 2006). Outliers were identified with the detection method provided by Chen and Liu (1993)