确定弹性恢复目标:不同气候变化情景下美国东部齿状Castanea dentata生境适宜性制图与预测

Paul H. Noah , Nicolette L. Cagle , Jared W. Westbrook , Sara F. Fitzsimmons
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引用次数: 8

摘要

在上个世纪,美洲板栗(Castanea dentata)几乎被一种侵入性真菌病原体消灭,近几十年来,在美国东部的原原产地,在培育抗枯萎病品种方面取得了进展。利用最大熵物种分布建模软件,结合已知的存活标本位置和环境数据,确定最佳的当今栖息地特征。利用模式预估估算了在中等和极端碳排放气候情景下,从现在到2100年的几个时间范围内理想栖息地的变化。在所有情况下都有合适栖息地的地点被确定并建议作为恢复目标,最明显的是新英格兰低地和高海拔的南部和中大西洋阿巴拉契亚地区。目前的研究建立在先前工作的基础上,通过结合精细分辨率数据、区域尺度宽度、未来气候模型和不同来源的板栗位置数据,产生一个物种分布模型,该模型同时对当地样本收集者、国家级规划者和长期恢复管理者有用。
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Identifying resilient restoration targets: Mapping and forecasting habitat suitability for Castanea dentata in Eastern USA under different climate-change scenarios

Following the near-eradication of the American chestnut (Castanea dentata) over the last century by an invasive fungal pathogen, progress has been made in recent decades towards generating blight-resistant varieties for restoration in its former native range in the Eastern US. Maximum Entropy species distribution modeling software was used with known surviving specimen locations and environmental data to determine optimal present-day habitat characteristics. Model projection was used to estimate shifts in ideal habitat under moderate and extreme carbon-emission climate scenarios over several time horizons ranging between present day and 2100. Sites with suitable habitat across all scenarios were identified and suggested as restoration targets, most notably lowland New England and high-elevation Southern and Mid-Atlantic Appalachian regions. The current study builds upon previous work by combining fine-resolution data, regional-scale breadth, future climate models, and a different source of chestnut location data to produce a species distribution model that is concurrently useful to local sample collectors, state-level planners and long-term restoration managers.

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