LA MS CDN Protection Decision Support Tool

<div>FOR non-AGOL ACCOUNT HOLDERS, DOWNLOAD THIS GEOSPATIAL DATA HERE: </div><div><br /></div><div>https://gis-fws.opendata.arcgis.com/search?tags=lmvjv</div><div><br /></div><div>The Forest Protection DST of the LA MS CDN is constructed to help partners define a strategy for identifying and addressing delivery priorities in the Network area, particularly related to protection of extant forest. The DST combines best available landscape design data in the Mississippi Alluvial Valley that collectively consider multiple priorities for bottomland hardwood protection - Ducks Unlimited's Land Protection Model and the LMVJV's Forest Protection Model. This DST revision incorporates both updated data and newly revised data in this dual modeling approach. The incorporated data models include:  newly updated DU MAV Land Protection Model (2015) and newly created MAV LA MS MAV CDN Forest Protection Model (Lower MS Valley Joint Venture, 2019). Although inputs used in the revision are considered the highest resolution data (30m x 30m pixels) available, and fully consistent with landscape level conservation uses, final outputs are actually presented in the form of priority clusters or neighborhoods, produced through GIS focal neighborhood analysis. Since conservation activities do not typically occur at scales as small as 900 meters2 (or less than one-quarter acre), utilizing neighborhood analysis is helpful for finding where high priority pixels are more densely associated. Thus, the approach better assists in identifying priority areas where conservation actions might be focused as oppose to working with or attempting to target priority pixel areas.</div>

面向非AGOL (ArcGIS Online) 账户持有者，请在此下载此地理空间数据：

https://gis-fws.opendata.arcgis.com/search?tags=lmvjv

路易斯安那州-密西西比州保护交付网络（LA MS CDN）的森林保护决策支持工具（DST，Decision Support Tool）旨在协助合作伙伴制定策略，以识别并明确该网络区域内的保护交付优先级，尤其聚焦于现存森林的保护工作。该工具整合了密西西比河冲积河谷（MAV，Mississippi Alluvial Valley）中可获取的最优景观设计数据，这些数据综合考量了泛滥平原硬木林保护的多重优先级——即鸭子无限（DU，Ducks Unlimited）的土地保护模型与密西西比河下游河谷联合倡议（LMVJV，Lower Mississippi Valley Joint Venture）的森林保护模型。本次版本更新的决策支持工具采用双建模方法，整合了更新后的数据与全新修订的数据。所纳入的数据模型包括：2015年更新的鸭子无限密西西比河冲积河谷土地保护模型（DU MAV Land Protection Model），以及2019年由密西西比河下游河谷联合倡议开发的路易斯安那州-密西西比州保护交付网络森林保护模型（MAV LA MS MAV CDN Forest Protection Model）。尽管本次更新所使用的输入数据为当前可获取的最高分辨率数据（30米×30米像素），且完全适配景观尺度的保护应用，但最终输出结果实则以优先级集群与邻域的形式呈现，该结果通过地理信息系统（GIS，Geographic Information System）焦点邻域分析生成。由于保护行动通常不会以900平方米（或不足四分之一英亩）这样的极小尺度开展，因此采用邻域分析有助于识别高优先级像素的密集关联区域。相较于直接针对单个高优先级像素区域开展工作或设定保护目标，该方法能够更有效地协助确定需优先开展保护行动的区域。