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* Metric Name: Density – Large Trees *  

* Tier: 2  

* Data Vintage: 06/2020  

* Unit Of Measure: Continuous, trees per 900 sq m  

* Represent element and pillar: Yes  

* Type and distribution of data: Zero-inflated, right-skewed distribution representing continuous values. Raw data values range from 0 to 10.  

* Translation: Where is large tree density high?  

* Translation method and outcome: Raw data values translated to range from +1 to -1 representing more favorable to less favorable conditions, respectively. **** The proposition of more favorable is based on the objective of large tree density being higher (positive linear slope). More favorable (translated to +1) set at > 10 trees/ac, and less favorable (translated to -1) set at 0 trees per ac.

Figure 108. Histogram and scoring criterion of current condition of density of
trees greater than 30 inches diameter at breast height across the Southern
California.

Figure 109. Histogram of translated current condition of density of trees
greater than 30 inches diameter at breast height across the Southern
California.

Figure 110. Maps displaying raw metric and translated metric of current
condition of the density of trees greater than 30 inches diameter at breast
height across the Southern California.

  

* Metric Definition and Relevance: Large trees are important to forest manager as they have a greater likelihood of survival from fire, provide sources of seed stock and wildlife habitat, and contribute to other critical processes like carbon storage and nutrient cycling. Large trees are often the focus of management in order to protect existing ones and to foster future ones. In consultation with National Forests, “large trees” have been determined as greater than 30” dbh.  

* Credits: California Forest Observatory (Salo Sciences), 2020