The area of Queensland is 172.8 million hectares. In 2013, about 80% of the state contained remnant regional ecosystems, of which 1% had a conservation classification of 'endangered' regional …Show full descriptionThe area of Queensland is 172.8 million hectares. In 2013, about 80% of the state contained remnant regional ecosystems, of which 1% had a conservation classification of 'endangered' regional ecosystems, 10% classified as 'of concern' and 69% of remnant regional ecosystems were of 'no concern at present'.

SummaryThis dataset provides mapping of water bodies and wetland regional ecosystems at 1:100,000 scale across Queensland.### Further details

This dataset provides mapping of water bodies and wetland regional ecosystems at 1:100,000 scale across Queensland.

Note

      This content was directly extracted
      from the Australian government's website:
      http://data.australia.gov.au/ by a machine,
      please refer to the source for accurate and
      timely information.

This data publication contains data and scripts associated with the publication:

Tebbett SB, Connolly SR, Bellwood DR. Benthic composition changes on coral reefs at global scales. Nature Ecology and Evolution

In this study we wanted to gain an insight into likely coral reef configurations of the near future. Specifically we focused on two relatively straightforward questions: 1) how is the benthic composition of coral reefs changing at a global scale? and 2) how, and to what extent, do these changes vary among major marine realms? To explore these questions, we compiled an extensive, global, dataset composed of observations of coral reef benthic composition (cover of 6 benthic categories).

The individual datapoints in our dataset were mean site level (i.e. a unique latitude and longitude) benthic community composition data. The six benthic categories were: hard coral, soft corals, macroalgae, low lying algae, sand, and other. We sourced all data from publicly availably databases (all references are supplied in CSV file 1) and previous literature (references and data supplied in CSV files 2 and 3). Specifically, we compiled benthic composition data from six major publicly available monitoring databases: Reef Check, Reef Check Australia, Reef Life Survey, Caribbean Coastal Marine Productivity (CARICOMP), Moorea Coral Reef Long Term Ecological Research and the National Oceanic and Atmospheric Administration (NOAA). The raw data from these six publicly available databases can be accessed through the list of references and relevant accession details listed in CSV file 1. There are 48 references listed in this file as these detail the specific location of each individual data source within these broader databases to ensure raw data can be easily located. To complement the data from these databases and to ensure that our dataset was comprehensive, we then undertook an extensive formal search of the literature for available data. Ultimately, this search process resulted in 83 publications with data that could be used in our study. The references and derived data from these 83 studies is provided in CSV files 2 and 3.

This data publication also includes five R scripts (R markdown files) that detail the statistical analyses and compilation of figures from the main text in the manuscript.

For full methodological details, please see the published manuscript (referenced above).

Further details of the files associated with this data publication can also be found in the 'read me' file.

Regional coupled ecosystem simulation of the Southern North Sea with the fully coupled Modular System for Shelves and Coasts (MOSSCO), an application layer of the Earth System Modeling Framework (ESMF). Here, we couple (1) the General Estuarine Transport Model (GETM) hydrodynamics and local waves with (2) the Model for Adaptive ECoSystems (MAECS) in the pelagic through the Framework for Aquatic Biogeochemical Models (FABM), and (3) the Ocean Margin Experiment Diagenesis (OMExDia) with added phosphorus cycle in the benthic through FABM.

This experiment considers the increase of chlorophyll-a from the shelf towards the coast as a biologically enhanced gradient. It builds on the capability of MAECS (Wirtz and Kerimoglu 2016) to resolve adaptive traits; it tests the trophic effect of carnivory – grazing on zooplankton by juvenile fish and benthic filter feeders – and the effect of viral control on shaping this gradient by performing three sub-experiments (1) a reference including both coastal carnivory and viral control (2); a simulation with uniform carnivory, but including viral control; (3) a simulation including a carnivory gradient but no viral control. This experiment is described and evaluated by Wirtz (2019).

Forcing and boundary conditions are provided by (1) zero-gradient open boundary dissolved and particulate nutrients from a North Atlantic shelf simulation with the Ecosystem Model Hamburg (ECOHAM), (2) astronomical forcing of tides as boundary sea surface elevation, (3) surface winds from the CoastDat2 Climate Limited Area (CLM) hindcast, (4) sediment porosity from the North Sea Observation and Assessment of Habitats (NOAH) atlas, and (5) river fluxes and nutrient loads from the Hereon River database.

All three simulations cover the period 1 Jan 2000 to 31 Dec 2011; the longer reference simulation ends 31 Dec 2014. The experiment is performed on a curvilinear grid of the Southern North Sea, represented by a 98 x 139 logically rectangular grid, with varying spatial resolution of 3.7-66 sqkm per grid cell, and highest resolution in the Elbe Estuary. Vertical resolution is 20 layers in the pelagic on terrain-following sigma coordinates, and 15 z-levels resolving the ocean floor down to 20 cm. The output format is netCDF in the Climate and Forecast (CF) convention as much as possible. Complete three-dimensional data are available at 36-hour intervals.

The experiment was extensively validated with observational data, including the spatially resolved ESA CCI surface chlorophyll product, the time series stations data for dissolved nutrients and chlorophyll from the Noordwijk and Terschelling transects, the stations at List, Norderney and Norderelbe, zooplankton time series data from Helgoland Roads as well as climatological zooplankton from the Continuous Plankton Recorder.

The coupled model system and the model setup are described in detail in Lemmen et al. (2018). Validations of the ecosystem coupling were performed, amongst others Slavik et al. (2019) using the same setup. Coupling to sediment processes is described by Nasermoaddeli et al. (2018) and to bentho-pelagic filtration by Lemmen (2018). Model physics has been evaluated by Xu et al. (2022). The model system and all of its components are available as free and open source and available from https://codebase.helmholtz.cloud/mossco/code.