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Publications by Wendell Cropper
Predicting Understory Species Richness From Stand and Management Characteristics Using Regression Trees
Forests
Forestry
Related publications
Predicting Mammal Species Richness From Remotely Sensed Data at Different Spatial Scales
The Open Remote Sensing Journal
Predicting Cognitive Data From Medical Images Using Sparse Linear Regression
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Emergent Aquatics: Stand Establishment, Management, and Species Screening
Spatial Distribution Characteristics of Species Diversity Using Geographically Weighted Regression Model
Sensors and Materials
Materials Science
Instrumentation
Using Taxonomic Revision Data to Estimate the Global Species Richness and Characteristics of Undescribed Species of Diving Beetles (Coleoptera: Dytiscidae)
Biodiversity Informatics
Predicting Understory Maximum Shrubs Cover Using Altitude and Overstory Basal Area in Different Mediterranean Forests
European Journal of Forest Research
Forestry
Plant Science
Species Richness and Diversity in Shrub Savanna Using Ordinary Kriging
Pesquisa Agropecuaria Brasileira
Animal Science
Zoology
Agronomy
Crop Science
Table 1: Sampling Units Characteristics With Richness of Taxa, Abundances of Shrubs, Trees and Pteridium.
Global Models for Predicting Woody Plant Richness From Climate: Comment
Ecology
Evolution
Ecology
Systematics
Behavior
