Services Directory - Final_Local_Connectedness_with_lava

Final_Local_Connectedness_with_lava_mask (Map Service)

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Service Description:

We mapped local connectedness based on a resistant kernel model developed by Brad Compton of the University of Massachusetts (Compton et al. 2007). The first step in running the model was to convert the 30-m landcover and roads data in to a “resistance” grid by coding each land cover class with the resistant weights described above (Table 2, Figure 18). Resistance weights are assigned by how easy or hard it is for a general organism to We aggregated the resistance grid to 30 meters by using a mean function to allow for faster computation time. Next, we assigned a maximum distance of 3 km to the model (the default value recommended by the software developer) to represent the distance where the influence on the focal cell is zero. We implemented the resistance kernel based model by running focal statistics, neighborhood weighted kernel with center cells having more weight and less weight as you get further from the center to a maximum of three km. The map of all focal cell scores creates a continuous wall-to-wall estimate of local connectedness.

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Local Connectedness(0)

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Copyright Text: Center for Resilient Conservation Science, The Nature Conservancy.

Spatial Reference:
102100

Single Fused Map Cache: true

Capabilities: Map,TilesOnly,Tilemap

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Spatial Reference:
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Resampling: true

Document Info:

Title: Hawaii Local Connectedness
Author: arlene_olivero@tnc.org_TNC
Comments:
Subject: Final CRCS datasets. Hawaii Local Connectedness. Updated 1/27/2022. Local Connectedness refers to the degree of fragmentation and strength of barriers that create resistance to movement within a landscape. A highly connected landscape promotes resilience by allowing species to move through the landscape and find suitable microclimates where they can persist. In this study, we calculate local connectedness by measuring the amount and configuration of human-created barriers like major roads, development, energy infrastructure, farming and forestry land. This layer was developed as part of The Nature Conservancy’s resilience analysis which develops an approach to conserve biological diversity while allowing species and communities to rearrange in response to a continually changing climate. For more information on the analysis, results and downloadable data, please see The Nature Conservancy's Hawaiian Resilient and Connected Networks webpage: Terrestrial Resilience https://nature.org/HIresilience or Coastal Resilience https://nature.org/HIcoast
Category:
Keywords: Local Connectedness, Fragmentation, Hawaii