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-Arciniega, Janet Ana Isabel; Chagolla, Alicia; Tiessen, Axel; Winkler, Robert (2012): Evaluating the physiological state of maize (Zea mays L.) plants
负责人:
关键词:
Event label File content File name Uniform resource locator\/link to file Sampling by hand
DOI:
doi:10.1594/pangaea.776064
摘要:
, we have assessed the economic, technical and statistical feasibility of using direct mass spectrometry methods to evaluate the physiological
Data from: A meta-analysis reveals global patterns of sediment effects on marine biodiversity
负责人:
关键词:
benthic communities;corals;seagrass;Fish;Algae;stress factors;Suspended Sediment;marine biota;sedimentation;1979-2017
DOI:
doi:10.5061/dryad.82v52rd
摘要:
effect on abundance for sponge and polychaete species. Many individual studies described physiological effects on coral reefs, but effects on diversity of soft-bottom
Monthly Rainfall and its Inter-Annual Variability (October)
负责人:
South African Environmental Observation Network
关键词:
mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
DOI:
doi:10.15493/sarva.beeh.10000056
摘要:
h was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (March)
负责人:
South African Environmental Observation Network
关键词:
mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
DOI:
doi:10.15493/sarva.beeh.10000060
摘要:
h was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (January)
负责人:
South African Environmental Observation Network
关键词:
mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
DOI:
doi:10.15493/sarva.beeh.10000055
摘要:
h was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (April)
负责人:
South African Environmental Observation Network
关键词:
mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
DOI:
doi:10.15493/sarva.beeh.10000061
摘要:
h was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (May)
负责人:
South African Environmental Observation Network
关键词:
mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
DOI:
doi:10.15493/sarva.beeh.10000062
摘要:
h was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (July)
负责人:
South African Environmental Observation Network
关键词:
mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
DOI:
doi:10.15493/sarva.beeh.10000064
摘要:
h was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Monthly Rainfall and its Inter-Annual Variability (February)
负责人:
South African Environmental Observation Network
关键词:
mean annual precipitation daily rainfall agriculture geographically weighted regressions Weather and climate Regional and seasonal variability Commercial forestry Physiological stress drivers Agriculture Biophysical variables
DOI:
doi:10.15493/sarva.beeh.10000059
摘要:
h was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont

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