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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:
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:
was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
GBIF Occurrence Download
负责人:
关键词:
GBIF biodiversity species occurrences
DOI:
doi:10.15468/dl.h5llfs
摘要:
Tortugas Reef Visual Census 2006. 244 records from Florida Keys Reef Visual Census 2004. 670 records from Florida Keys Reef Visual Census 2002. 578
Data from: A coupled soil water balance model for simulating depression-focused groundwater recharge
负责人:
关键词:
2004;snowmelt runoff;2004-2011;topographic depression;Prairie Pothole Region;glaciated plain;2006-2011
DOI:
doi:10.5061/dryad.8gb685k
摘要:
In arid and semi-arid environments focussed infiltration of rain and snowmelt water under topographic depressions is an important mechanism of groundwater recharge. Quantifying the aggregated recharge from numerous small depressions is a major challenge in water resource management. Building on field-based investigations into the surface water-groundwater interaction of individual depressions and their catchments (i.e. uplands) in the Canadian Prairies, we have developed a simple water balance model to simulate groundwater recharge considering the hydrological coupling of a depression-upland system. The model is based on the Versatile Soil Moisture Budget (VSMB), which has been widely used in the Canadian Prairies to simulate soil moisture conditions. We evaluated the new model, VSMB Depression-Upland System (VSMB-DUS) using field data consisting of an artificial flooding experiment and long-term monitoring of a depression in Alberta, Canada. The model captured surface water level, soil moisture, and groundwater responses to the artificial flooding with a reasonable accuracy, and also represented the inter-annual variability of recharge fluxes during a five year period (2007-2011) including dry and wet years. Simulated annual recharge varied between 12 and 45 mm, whereas annual precipitation varied between 453 and 597 mm during the five-year period. The VSMB-DUS tends to over- or under-estimate snowmelt runoff in individual years, however, simulated recharge was only slightly impacted by the errors in snowmelt runoff estimation. Due to its computational efficiency and robust algorithms, the VSMB-DUS will provide a useful tool for estimating aggregated recharge in a large-scale model grid cell containing hundreds of depression-upland systems.
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:
was generated by Lynch (2004) using Geographically Weighted Regression. These ratios were then interpolated by Inverse Distance Weighting (IDW) ont
Public Attitudes to Genomics: Vignette Studies, 2004
负责人:
关键词:
DOI:
doi:10.5255/ukda-sn-5444-1
摘要:
These vignette studies form part of a wider project to provide a basic understanding of current attitudes among the public towards a range of new genetic technologies. Public attitudes and behaviour toward developments in this area of science are likely to be conditional, at least in part, upon consideration of contextual factors. The vignette studies were designed specifically to investigate:<ul><li>the effect of contextual factors upon intended behaviour and the cognitive and affective components of attitudes</li><li>the degree to which simple survey attitude questions might hide genuinely ambivalent responses to genetic technologies</li><li>the extent to which any context effects are domain specific (the domains being human, plant and animal applications of genetic technologies)</li></ul>
Data from: What pollinates Lantana camara in the mountains of Costa Rica?
负责人:
关键词:
butterflies;Lepidoptera;Hummingbirds;invasive species;Trochilidae
DOI:
doi:10.5061/dryad.5cn79808
摘要:
to native plants (Achhireddy & Singh 1984, Gentle & Duggin 1997b) and its fruits are dispersed by a variety of birds (Mandon-Dalger et al. 2004, Swarbrick et al
GBIF Occurrence Download
负责人:
关键词:
GBIF biodiversity species occurrences
DOI:
doi:10.15468/dl.trs5sf
摘要:
Centre - BRERC October 2009. 8 records from Artdata. 1 records from Dorset Environmental Records Centre - Dorset SSSI Species Records 1952 - 2004
Effectiveness of the Finnish agri-environmental scheme: specialist survey, 2002
负责人:
关键词:
agri-environmental measures biodiversity development needs specialist survey agri-environmental programme Finland
DOI:
doi:10.5063/aa/marjaana_toivonen.36.9
摘要:
, J., Helenius, J., Hietala-Koivu, R. & Heli?l?, J. (eds.) 2004. Maatalouden ymp?rist?tuen merkitys luonnon monimuotoisuudelle ja maisemalle: MYTVAS
Data from: Is diagnosability an indicator of speciation? Response to ‘Why one century of phenetics is enough’
负责人:
关键词:
Bovidae;taxonomic inflation;phylogenetic species concept;Bovidae
DOI:
doi:10.5061/dryad.82vr1
摘要:
e of our crucial practical concerns, notably the risk of taxonomic inflation (Isaac & Mace 2004) posed by their diagnostic phylogenetic species concept (dPSC). Her

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