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species-area relationship
Local Knowledge Graph (34 entities)
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Knowledge graph centered on species-area relationship with 34 nodes and 87 connections. Top connected: elevational gradients, Estimating species-area relationships from plot to, species diversity, space use, quadrat sampling method.
Description
Nested sampling design to construct species-area relationships across multiple spatial scales by subdividing plots into equal-area quadrats and averaging species counts across equivalent areas.
Typical Equipment
- Python with numpy, scipy, matplotlib libraries
Output Measurements
- species-area relationship slopes
- spatial scale effects on species richness
Papers Using This Protocol (10)
article
What sexual diversity in the natural world can teach humans about sex, gender, and inclusive biology
article
Shifting macroecological patterns and static theory failure in a stressed alpine plant community
student_paper
Species richness along elevation gradient and possible correlation factors
student_paper
Possible influence of altitude, geographical distance between sites and annual precipitation rates on species richness
student_paper
Species richness along an elevational gradient
student_paper
Plant community composition with respect to species richness along an altitudinal gradient in gunnison county, co
article
Estimating species richness at large spatial scales using data from discrete plots
article
Estimating species richness at large spatial scales using data from discrete plots
article
Estimating species-area relationships from plot to landscape scale using species spatial-turnover data
article