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| 1 | An Overview of Spatial Analysis of Emerging Infectious Diseases显示文摘 | Colin Robertson Trisalyn A. Nelson | 2014 | The Professional Geographer2014，，4： | 1 |
| 2 | Refining spatial neighbourhoods to capture terrain effects显示文摘Introduction:Spatially explicit ecological research has increased substantially in the past 20 years.Most spatial approaches require the definition of a spatial neighbourhood or the region over which spatial relationships are modelled or assessed.Spatial neighbourhood definitions impact analysis results,and there are benefits in considering neighbourhood definitions that better capture ecological processes.The goal of this research is to present a simple and flexible approach in constraining ecological spatial neighbourhoods using terrain data.Methods:Using watershed boundaries,we can restrict spatial neighbourhoods from combining populations or processes that should be separated by terrain effects.We demonstrate the need for ecological constraints by way of a simulation study and highlight our approach with a case study examining mountain pine beetle(Dendroctonus ponderosae,Coleoptera;Hopkins)infestation hot spots.Results:Our results demonstrate how failure to constrain neighbourhoods can lead to errors when the spatial signals from unrelated populations are mixed.Also,unconstrained spatial neighbourhoods can unintentionally detect spatial relationships across many scales.Conclusions:There will be benefits to studies that develop new,ecology-based approaches in defining spatial neighbourhoods that better illuminate ecological function of phenomena under study. | Trisalyn A Nelson Colin Robertson | 2012 | Ecological Processes2012，1，1： | 1 |
| 3 | Characterization of spatial relationships between three remotely sensed indirect indicators of biodiversity and climate:a 21years’data series review across the Canadian boreal forest显示文摘Climate drives ecosystem processes and impacts biodiversity.Biodiversity patterns over large areas,such as Canada’s boreal,can be monitored using indirect indicators derived from remotely sensed imagery.In this paper,we characterized the historical space–time relationships between climate and a suite of indirect indicators of biodiversity,known as the Dynamic Habitat Index(DHI)to identify where climate variability is co-occurring with changes in biodiversity indicators.We represented biodiversity using three indirect indicators generated from 1987 to 2007 National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer images.By quantifying and clustering temporal variability in climate data,we defined eight homogeneous climate variability zones,where we then analyzed the DHI.Results identified unique areas of change in climate,such as the Hudson Plains,that explain significant variations in DHI.Past variability in temperatures and growing season index had a strong influence on observed vegetation productivity and seasonality changes throughout Canada’s boreal.Variation in precipitation,for most of the area,was not associated with DHI changes.The methodology presented here enables assessment of spatial–temporal relationships between biodiversity and climate variability and characterizes distinctive zones of variation that may be used for prioritization and planning to ensure long-term biodiversity conservation in Canada. | Liliana Perez Trisalyn Nelson Nicholas C.Coops Fabio Fontana C.Ronnie Drever | 2016 | International Journal of Digital Earth2016，9，7： | 0 |
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