Return on investments in restoration and fuel treatments in frequent-fire forests of the American west: A meta-analysis

被引:0
|
作者
Hjerpe, Evan E. [1 ,2 ]
Colavito, Melanie M. [1 ]
Waltz, Amy E. M. [1 ]
Meador, Andrew Sanchez [1 ]
机构
[1] No Arizona Univ, Ecol Restorat Inst, Flagstaff, AZ 86011 USA
[2] Conservat Econ Inst, Twin Falls, ID USA
关键词
Forest restoration; Fuel treatments; Avoided wildfire costs; Ecosystem services; Restoration economics; Benefit-cost analysis; WILLINGNESS-TO-PAY; REDUCTION TREATMENTS; ECOSYSTEM SERVICES; WILDLAND FIRE; PONDEROSA; WILDFIRE; SUPPRESSION; COSTS; SEVERITY; OBJECTIVES;
D O I
10.1016/j.ecolecon.2024.108244
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Arid forests in the American West contend with overly dense stands and a need to reduce fuels and restore more natural fire regimes. Forest restoration efforts include fuel treatments, such as thinning and prescribed burning, that can reduce ground and ladder fuels. Restoration and fuel treatments have emerged as leading wildfire riskreduction strategies in the American West, yet little is known about the cost-effectiveness of such programs. To evaluate forest restoration and fuel treatment benefits and costs, we conducted a meta -analysis of benefit -cost ratios for restoration benefit types documented in the literature for Western U.S. dry mixed conifer forests at risk of uncharacteristic wildfires. A total of 120 observations were collated from 16 studies conducted over the last two decades, with benefits ranging from enhanced ecosystem services to extensively avoided wildfire costs. Significant variation in the value of restoration and fuel treatment benefit types was found, indicating that restoration benefits differ in value based on societal importance. Overall, 17 individual benefit types were aggregated to show that in the most valuable and at -risk watersheds, every dollar invested in forest restoration can provide up to seven dollars of return in the form of benefits and provide a return -on -investment of 600%.
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页数:11
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