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Degree of human modification and resistance surfaces within the M2B study area, 2017.
This dataset was downloaded from https://databasin.org/datasets/2f439902256248bcafa6d285450c98c1/ and published by Napa County PBES GIS Staff. |
| summary:
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Degree of human modification and resistance surfaces within the M2B study area, 2017.
This dataset was downloaded from https://databasin.org/datasets/2f439902256248bcafa6d285450c98c1/ and published by Napa County PBES GIS Staff. |
| accessInformation:
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This dataset was produced under a contract between The Nature Conservancy of California and Conservation Science Partners Inc. Analysis and spatial data produced by Conservation Science Partners Inc. 2017, Truckee, CA, USA. The Mayacamas to Berryessa (M2B) Connectivity Network is a project funded by the California Landscape Conservation Partnership to Pepperwood Foundation. Key contributors include Morgan Gray, Adina Merenlender, Lisa Micheli, and the M2B steering committee. Citation: Gray M., L. Micheli, A.M. Merenlender. 2018. Methodology for building habitat connectivity for climate adaptation: Mayacamas to Berryessa Connectivity Network (M2B). A technical report by the Dwight Center for Conservation Science at Pepperwood, Santa Rosa CA. 51 pp. References: Bonham-Carter G. 1994. Geographic Information Systems for geoscientists. Elsevier, 398 pgs. Brown MT, Vivas MB. 2005. Landscape development intensity index. Environmental monitoring and assessment 101:289-309. Salafsky N, et al. 2008. A standard lexicon for biodiversity conservation: unified classifications of threats and actions. Conservation Biology 22(4):897-911. Theobald DM. 2013. A general model to quantify ecological integrity for landscape assessments and US application. Landscape Ecology 28(10):1859-1874. Use constraints: This work is licensed under a Creative Commons Attribution 3.0 License. No warranty is made by Data Basin for use of this dataset. |
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| maxScale:
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0.0 |
| typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"] |
| description:
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Degree of human modification and resistance surfaces for California, 2017. To model the resistance to ecological flow across California as the main input to a connectivity model (e.g., Circuitscape), we generated a resistance surface (R) modeled from the degree of human modification (H) layer. The resistance surface was calculated as: R = (H + 1.0)^10 to mute the differences between natural lands and accentuate the differences between converted lands. We did this following a sensitivity analysis of different rescaling options. To calculate the degree of human modification, we followed methods described in Theobald (2013), with adjustments to include the number of lands in highways (footprint = 30 m for each lane), as well as roads on private forested lands, and additional power line and oil/gas pipelines. We also adjusted lakes, rivers, and estuaries to the highest resistance (using rivers from USGS NHD High resolution polygon rivers). A list of stressors (or threats to natural lands) was organized based on The Human Activities Framework (Salafsky et al. 2008). At the top level, stressors are organized into five Level I classes: residential and commercial development, agriculture, energy production and mining, transportation and service corridors, and biological harvesting. These are further broken into 1-3 specific activities, resulting in 11 Level II classes. For each stressor, specific datasets were used on which to calculate a specific indicator(s). In total, nearly two-dozen datasets were used to depict 14 types of human activities. Thus, the overall degree of human modification (H) at a location is calculated as: H = I x F, where a value of 0.0 has no human modification and a value of 1.0 has high modification. This dataset was resampled using the mean value from the original 30 m resolution to 810 m. We recommend that any analysis should consider a minimum mapping unit of roughly 810 m (cell size, roughly 160 acres). This dataset was produced under a contract between The Nature Conservancy of California and Conservation Science Partners Inc. Analysis and spatial data produced by Conservation Science Partners Inc. 2017. Truckee, CA, USA. This work is licensed under a Creative Commons Attribution 3.0 License. |
| licenseInfo:
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<p>From Napa County GIS Staff -</p><p>This layer is open data. It is made available under the Public Domain Dedication and License version v1.0 whose full text can be found at:</p><p></p><p>https://opendatacommons.org/licenses/pddl/1.0/</p><p></p><p>Disclaimer: This GIS data is intended to provide a visual display of data for the user's convenience. Users of this data are hereby notified that the appropriate public primary information sources should be consulted for verification of the information. Although every reasonable effort has been made to assure the accuracy of this data, Napa County makes no warranty, representation or guaranty as to the content, sequence, accuracy, timeliness or completeness of any of the data provided herein and explicitly disclaims any representations and warranties, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. Napa County assumes no liability for any errors, omissions, or inaccuracies in the information provided regardless of how caused and assumes no liability for any decisions made or actions taken or not taken by the user of the data in reliance upon any information or data furnished hereunder. Because the GIS data provided is not warranted to be up-to-date, the user should check with the County staff for updated information.</p> |
| catalogPath:
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| title:
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Permeability Surface Naturalness |
| type:
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Image Service |
| url:
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https://gissrvrprod05/arcgis/rest |
| tags:
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["m2b","blm","ca lcc","ca lcp","climate adaptation","climate connectivity","connectivity","corridors","cpad","cpad+","lake county","linkages","napa county","pepperwood","permeability","protected areas","riparian linkages","sonoma county","terrestrial linkages"] |
| culture:
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en-US |
| name:
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Permeability_Surface_Naturalness |
| guid:
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|
| minScale:
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0.0 |
| spatialReference:
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NAD_1983_UTM_Zone_10N |