What question did this study set out to answer?

The aim is to develop a method for creating and delineating meaningful forest management units using quantitative remote sensing data and spatial statistics.

October 2, 2019Australian Forestry

Creating forest management units with Hot Spot Analysis (Getis-Ord Gi*) over a forest affected by mixed-severity fires

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The aim is to develop a method for creating and delineating meaningful forest management units using quantitative remote sensing data and spatial statistics.
Conducted a case study in a 3940-ha fire-degraded forest area in Argentina.
Used an aerial survey with an unmanned aerial vehicle and a plot-based field inventory.
Applied Hot Spot Analysis (Getis-Ord Gi*) to aggregate areas based on the Adjusted Canopy Coverage Index (ACCI).
Cluster areas averaged 33.9 ha for the shortest analysis threshold of 178 m and 138.5 ha for the longest of 357 m.
Aggregated between 30.7% and 60.8% of the area into coldspots or hotspots of ACCI.
A trade-off was observed where increasing threshold distance led to a 12% increase in misclassification of area.

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Implication

Randomized trial demonstrates the creation of forest management units in a fire-degraded subtropical forest, suggesting a novel method for ecological rehabilitation.

Cite This Study

Rossi et al. (2019) studied this question.

synapsesocial.com/papers/6a61d9915aedc878c5f545ca https://doi.org/10.1080/00049158.2019.1678714

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Implication

Randomized trial demonstrates the creation of forest management units in a fire-degraded subtropical forest, suggesting a novel method for ecological rehabilitation.

Creating forest management units with Hot Spot Analysis (Getis-Ord Gi*) over a forest affected by mixed-severity fires

Key Points

Discussion

Implication

Cite This Study

Creating forest management units with Hot Spot Analysis (Getis-Ord Gi*) over a forest affected by mixed-severity fires

Key Points

Discussion

Implication

Cite This Study

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