Implementation of mid-scale fire regime condition class mapping

Implementation of mid-scale fire regime condition class mapping
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DOI:
10.1071/wf07066
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发表时间:
2008-07
影响因子:
3.1
通讯作者:
L. Provencher;Jacquelyn C. Campbell;Janet L. Nachlinger
L. Provencher;Jacquelyn C. Campbell;Janet L. Nachlinger
中科院分区:
农林科学3区
文献类型:
--
作者:
L. Provencher;Jacquelyn C. Campbell;Janet L. Nachlinger

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我们使用中等规模的Fire Regime Condition Class (FRCC)地图,为美国内华达州Grant山地区的Hawthorne陆军仓库提供数据层,以规划燃料恢复项目,以满足资源管理目标。FRCC制图计算现有条件与自然变率范围的偏离指数,包括五个主要步骤:(1)基于土壤调查的解释绘制潜在自然植被类型(PNVT);(2)基于附加信息对PNVTs进行细化;(3)模拟每个PNVT的自然变率范围(NRV);(4)利用NRV遥感(IKONOS 4 m分辨率卫星影像)解译的结构植被类当前分布偏差进行实地验证、计算和制图;(5)绘制与参考条件不同的结构植被类型。松柏林地和山红木林地分布在自然保护区内,而低灌木和大灌木林地和混合沙漠灌木林地的偏离从中等到高的河岸山地草甸逐渐增加。几个PNVTs显示偏离接近FRCC等级限制。达到NRV的普遍建议是减少发育较晚的封闭和作弊草优势类的百分比,从而增加早期和中期发育类的百分比。
We used mid-scale Fire Regime Condition Class (FRCC) mapping to provide Hawthorne Army Depot in the Mount Grant area of Nevada, USA, with data layers to plan fuels restoration projects to meet resource management goals. FRCC mapping computes an index of the departure of existing conditions from the natural range of variability, and consists of five primary steps: (1) mapping the Potential Natural Vegetation Types (PNVT) based on interpretation of a soil survey; (2) refining PNVTs based on additional information; (3) modelling the natural range of variability (NRV) per PNVT; (4) using field verification, calculation and mapping of departure of current distribution of structural vegetation classes interpreted by remote sensing (IKONOS 4-m resolution satellite imagery) from the NRV; and (5) mapping structural vegetation classes that differ from reference conditions. Pinyon–juniper and mountain mahogany woodlands were found within the NRV, whereas departure increased from moderate for low and big sagebrush PNVTs and mixed desert shrub to high for riparian mountain meadow. Several PNVTs showed departures that were close to FRCC class limits. The common recommendation to reach the NRV was to decrease the percentage of late-development closed and cheatgrass-dominant classes, thus increasing the percentage of early and mid-development classes.