20200623
10452900
1.0
TRUE
Map1
<p>◦Overview: A key principle of Landscape Conservation Design is that “Stakeholders design landscape configurations that promote resilient and sustainable social-ecological systems” (Campellone et al, 2018). From Campellone et al: (2018): “A beneficial aspect of stakeholder engagement in spatial design is the development of a deeper trust that the models used to identify priorities integrate their interests with other information and knowledge, which furthers social learning and collective agreement on resource allocation and landscape objectives” (Melillo et al., 2014). Overall, the co-development of a spatial design helps organize landscape elements while maintaining and improving stakeholder buy-in” (De Groot, Alkemade, Braat, Hein, & Willemen, 2009; Melillo et al., 2014).”</p><p>◦Analytical Question: Create a prototype landscape design (blueprint) that integrates multiple values on the landscape including wildlife conservation, forest and agriculture production, recreation, cultural and human health. The prototype will be created based upon readily available data.This analysis will be used to understand landscape-scale conservation and working landscape priorities, while incorporating other important values.The blueprint will be used to represent a sustainable landscape in the future.</p><p>◦Desired Outcome: A map or maps that represents a balance of multiple values on the landscape, with a focus on conservation and working landscape values.</p>
Cascades to Coast Landscape Collaborative
Spatial Design
Oregon
Washington
Coastal Ecoregion
Landscape Conservation Design
Ecosystem Services
This feature class represents key attributes that are important for Ecosystem Services. This is for version 1.0 of the spatial design process of the Cascades to Coast Landscape Collaborative.
<p style='margin-bottom:0in;'><span style='font-size:12.0pt; font-family:"Arial",sans-serif; color:black; background:white;'>The United States Fish and
Wildlife Service (Service) shall not be held liable for improper or incorrect
use of the data described and/or contained herein. While the Service makes
every reasonable effort to ensure the accuracy and completeness of data
provided for distribution, it may not have the necessary accuracy or
completeness required for every possible intended use. The Service
recommends that data users consult the associated metadata record to
understand the quality and possible limitations of the data. The Service
creates metadata records in accordance with the standards endorsed by the
Federal Geographic Data Committee.</span><span style='font-size:12.0pt; font-family:"Times New Roman",serif;'><o:p></o:p></span></p>
<p style='margin-bottom:0in; background:white;'><span style='font-size:11.5pt; font-family:"Helvetica",sans-serif; color:#4C4C4C;'><o:p> </o:p></span></p>
<p style='margin-bottom:0in; background:white;'><span style='font-size:12.0pt; font-family:"Arial",sans-serif; color:black; background:white;'>As a result of the above
considerations, the Service gives no warranty, expressed or implied, as to the
accuracy, reliability, or completeness of the data. It is the
responsibility of the data user to use the data in a manner consistent
with the limitations of geospatial data in general and these data in
particular. Although these data have been processed successfully on a
computer system at the Service, no warranty, expressed or implied, is made
regarding the utility of the data on another system or for general or
scientific purposes, nor shall the act of distribution constitute any such
warranty. This applies to the use of the data both alone and in aggregate
with other data and information.</span><span style='font-size:11.5pt; font-family:"Helvetica",sans-serif; color:#4C4C4C;'><o:p></o:p></span></p>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