Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Potential impacts of climate change on biogeochemistry of mine wastes and efficiency of organic covers

ABSTRACT: organic covers response to climate change

PROVIDER: PRJEB74110 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Potential impacts of climate change on biogeochemistry of mine wastes and efficiency of organic covers

Project description:organic covers response to climate change

| PRJEB74221 | ENA

Climate change impacts on fungi

Project description:Experimental climate change modifies degradative succession in boreal peatland fungal communities

| PRJEB14309 | ENA

Climate change

Project description:Microbial communities of boreal peatlands under climate change conditions: Does community structure indicate the dynamics of ecosystem function?

| PRJEB25233 | ENA

Climate Change & fungal communities

Project description:Climate change favours specific fungal communities in Boreal peatlands

| PRJEB14310 | ENA

Cool Climate Organic Vineyard

Project description:A Characterization of the Grape Root Microbiome Across Rootstocks and Root Depth in a Cool Climate Organic Vineyard

| PRJEB45622 | ENA

Climate change impacts on fungi

Project description:Dynamics of fungal communities in boreal peatlands

| PRJEB14005 | ENA

Climate change impacts on fungi

Project description:Dynamics of fungal communities in boreal peatlands

| PRJEB14008 | ENA

Climate change impacts on fungi

Project description:Dynamics of fungal communities in boreal peatlands

| PRJEB14122 | ENA

Climate change impacts on fungi

Project description:Dynamics of fungal communities in boreal peatlands

| PRJEB14119 | ENA

Observing climate change trends in ocean biogeochemistry: when and where.

Project description:Understanding the influence of anthropogenic forcing on the marine biosphere is a high priority. Climate change-driven trends need to be accurately assessed and detected in a timely manner. As part of the effort towards detection of long-term trends, a network of ocean observatories and time series stations provide high quality data for a number of key parameters, such as pH, oxygen concentration or primary production (PP). Here, we use an ensemble of global coupled climate models to assess the temporal and spatial scales over which observations of eight biogeochemically relevant variables must be made to robustly detect a long-term trend. We find that, as a global average, continuous time series are required for between 14 (pH) and 32 (PP) years to distinguish a climate change trend from natural variability. Regional differences are extensive, with low latitudes and the Arctic generally needing shorter time series (<~30 years) to detect trends than other areas. In addition, we quantify the 'footprint' of existing and planned time series stations, that is the area over which a station is representative of a broader region. Footprints are generally largest for pH and sea surface temperature, but nevertheless the existing network of observatories only represents 9-15% of the global ocean surface. Our results present a quantitative framework for assessing the adequacy of current and future ocean observing networks for detection and monitoring of climate change-driven responses in the marine ecosystem.

| S-EPMC4785610 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data