首页> 外文期刊>Global ecology and biogeography >Empirical analysis of the influence of forest extent on annual and seasonal surface temperatures for the continental United States.
【24h】

Empirical analysis of the influence of forest extent on annual and seasonal surface temperatures for the continental United States.

机译:对美国本土森林面积对年度和季节性地表温度影响的实证分析。

获取原文
获取原文并翻译 | 示例
       

摘要

Aim: Because of the low albedo of forests and other biophysical factors, most scenario-based climate modelling studies indicate that removal of temperate forest will promote cooling, indicating that temperate forests are a source of heat relative to other classes of land cover. Our objective was to test the hypothesis that US temperate forests reduce surface temperatures. Location: The continental United States. Methods: Ordinary least squares regression was used to develop relationships between forest extent and surface temperature. Forest extent was derived from the 900m2 2001 National Land Cover Database (NLCD 2001) and surface temperature data were from the MODIS 1 km2 8-day composite (MYD11A2). Forest-surface temperature relationships were developed for winter, spring, summer, autumn and annually using 5 years of MODIS land surface temperature data (2007-11) across six spatial scales (1, 4, 9, 16, 25 and 36 km2). Regression models controlled for the effects of elevation, aspect and latitude (by constraining the regressions within a 1 degrees range). Results: We did not find any significant positive slopes in regressions of average annual surface temperatures versus the proportion of forest, indicating that forests are not a source of heat relative to other types of land cover. We found that surface temperatures declined as the proportion of forest increased for spring, summer, autumn and annually. The forest-surface temperature relationship was also scale dependent in that spatially extensive forests produced cooler surface temperatures than forests that were dominant only locally. Main conclusions: Our results are not consistent with most scenario-based climate modelling studies. Because of their warming potential, the value of temperate afforestation as a potential climate change mitigation strategy is unclear. Our results indicate that temperate afforestation is a climate change mitigation strategy that should be implemented to promote spatially extensive forests.Digital Object Identifier http://dx.doi.org/10.1111/geb.12013
机译:目的:由于森林的反照率低和其他生物物理因素,大多数基于情景的气候模拟研究表明,温带森林的清除将促进降温,表明温带森林是相对于其他土地覆盖类型的热源。我们的目的是检验美国温带森林降低地表温度的假设。地点:美国大陆。方法:采用普通最小二乘回归法建立森林面积与地表温度之间的关系。森林面积是从900m 2 2001国家土地覆被数据库(NLCD 2001)中获得的,地表温度数据是从MODIS 1 km 2 8天复合物(MYD11A2)中获得的。利用5年的MODIS地表温度数据(2007-11)在六个空间范围(1、4、9、16、25和36 km 2 )。控制回归模型以控制高程,高程和纬度的影响(通过将回归限制在1度范围内)。结果:在年平均地表温度对森林比例的回归中,我们没有发现任何明显的正斜率,这表明相对于其他类型的土地覆盖而言,森林不是热源。我们发现随着春季,夏季,秋季和每年森林比例的增加,地表温度下降。森林与地表温度的关系也与规模有关,因为与仅局部占主导地位的森林相比,空间广泛的森林产生的地表温度要低。主要结论:我们的结果与大多数基于情景的气候模拟研究不一致。由于其变暖的潜力,温带造林作为潜在的缓解气候变化战略的价值尚不清楚。我们的结果表明,温带造林是一种减缓气候变化的策略,应实施以促进空间广泛的森林。数字对象标识符http://dx.doi.org/10.1111/geb.12013

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号