筛选
科学数据
统计数据
共检索到42条 ,权限内显示50条;
Data from: Pace of life syndrome under warming and pollution: integrating life history, behavior and physiology across latitudes
- 负责人：
- DOI：
- doi:10.5061/dryad.p39r7kh
- 摘要：
- , but less strong than at the across-latitude level. Physiological traits were also integrated within latitudes, yet there was no unambiguous coupling
-Arciniega, Janet Ana Isabel; Chagolla, Alicia; Tiessen, Axel; Winkler, Robert (2012): Evaluating the physiological state of maize (Zea mays L.) plants
- 负责人：
- 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：
- 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
