RustMapper:美国西部高海拔森林的白松水疱锈病风险。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Sparkle L Malone, Anna W Schoettle, Kelly S Burns, Holly S J Kearns, Jane E Stewart, Maria Newcomb, Christy M Cleaver
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引用次数: 0

摘要

白松水疱锈病(WPBR)是北美最具破坏性的树木疫病之一。我们汇总了1995年至2024年美国西部80多项独立研究的数据,在适应性管理工具RustMapper中估计了1980年至2023年高海拔五针松物种(High-5)的WPBR风险。WPBR风险是在High-5上观察到WPBR的概率。河流密度、地形、抗寒带、降水、气温、蒸汽压差和相对湿度是估算WPBR风险的关键因素。WPBR风险随湿度的增加而增加,随温度的升高而降低。在High-5范围内,在疾病尚未入侵的地区和疾病已经确立的整个地区都发现了适宜的条件。结果表明,北部地区WPBR的平均风险(~0.6)远高于南部地区(~0.15)。这些发现表明,人们对该疾病已形成地区的疾病缓解成功持谨慎乐观态度,而在目前WPBR发病率较低的地区,迫切需要采取主动管理措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

RustMapper: White Pine Blister Rust Risk Across High Elevation Forests in the Western United States.

RustMapper: White Pine Blister Rust Risk Across High Elevation Forests in the Western United States.

RustMapper: White Pine Blister Rust Risk Across High Elevation Forests in the Western United States.

RustMapper: White Pine Blister Rust Risk Across High Elevation Forests in the Western United States.

White pine blister rust (WPBR) is one of North America's most damaging tree epidemics. Aggregating data from more than 80 independent studies across the western U.S. from 1995-2024, we estimate WPBR risk for high-elevation five-needle pine species (High-5) from 1980-2023 in the adaptive management tool RustMapper. WPBR risk is the probability of observing WPBR on the High-5. Stream density, topography, hardiness zone, precipitation, air temperature, vapor pressure deficit, and relative humidity were critical in estimating WPBR risk. WPBR risk increased with moisture and declined with temperature. Across the High-5 range, suitable conditions were found in areas where the disease had not yet invaded and throughout regions where the disease was well established. As a result, the mean risk for WPBR was much higher in the north (~0.6) compared to the southern portions of the High-5 range (~0.15). These findings indicate cautious optimism for disease mitigation success in regions where the disease is established and urgency for proactive management where WPBR occurrence is currently low.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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