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Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest

机译:育空河流域北方森林扰动和气候变化对生态系统性能的影响

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A warming climate influences boreal forest productivity, dynamics, and disturbance regimes. We used ecosystem models and 250 m satellite Normalized Difference Vegetation Index (NDVI) data averaged over the growing season (GSN) to model current, and estimate future, ecosystem performance. We modeled Expected Ecosystem Performance (EEP), or anticipated productivity, in undisturbed stands over the 2000–2008 period from a variety of abiotic data sources, using a rule-based piecewise regression tree. The EEP model was applied to a future climate ensemble A1B projection to quantify expected changes to mature boreal forest performance. Ecosystem Performance Anomalies (EPA), were identified as the residuals of the EEP and GSN relationship and represent performance departures from expected performance conditions. These performance data were used to monitor successional events following fire. Results suggested that maximum EPA occurs 30–40 years following fire, and deciduous stands generally have higher EPA than coniferous stands. Mean undisturbed EEP is projected to increase 5.6% by 2040 and 8.7% by 2070, suggesting an increased deciduous component in boreal forests. Our results contribute to the understanding of boreal forest successional dynamics and its response to climate change. This information enables informed decisions to prepare for, and adapt to, climate change in the Yukon River Basin forest.
机译:气候变暖会影响北方森林的生产力,动态和干扰状况。我们使用了生态系统模型和在生长期(GSN)上平均得到的250 m卫星归一化植被指数(NDVI)数据来对当前模型进行建模,并估算未来的生态系统性能。我们使用基于规则的分段回归树,对来自各种非生物数据源在2000–2008年期间不受干扰的林分中的预期生态系统绩效(EEP)或预期生产力进行了建模。 EEP模型已应用于未来的气候集合A1B预测中,以量化对成熟北方森林性能的预期变化。生态系统绩效异常(EPA)被确定为EEP和GSN关系的残差,表示绩效偏离了预期的绩效状况。这些性能数据用于监视火灾后的继发事件。结果表明,最大的EPA发生在火灾后30–40年,落叶林的EPA通常比针叶林的EPA高。预计到2040年,不受干扰的平均EEP值将增加5.6%,到2070年将增加8.7%,这表明北方森林的落叶成分将增加。我们的结果有助于理解北方森林的演替动态及其对气候变化的响应。这些信息可以帮助您做出明智的决定,以准备并适应育空河盆地森林中的气候变化。

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