首页> 外文期刊>Italian Journal of Agronomy >Pastoral suitability driven by future climate change along the Apennines
【24h】

Pastoral suitability driven by future climate change along the Apennines

机译:亚平宁山脉未来气候变化驱动的牧草适宜性

获取原文
       

摘要

This work aims at evaluating the impacts of climate change on pastoral resources located along the Apennines chain. To this end, random forest machine learning model was first calibrated for the present period and then applied to future conditions, as projected by HadCM3 general circulation model, in order to simulate possible spatial variation/shift of pastoral areas in two time slices (centred on 2050 and 2080) under A2 and B2 SRES scenarios. Pre-existent spatial database, namely Corine land cover map and WorldClim, were integrated and harmonised in a GIS environment in order to extract climate variables (mean seasonal precipitation, mean maximum temperature of the warmest month and minimum temperature of the coldest month) and response variables (presence/absence of pastures) to be used as model predictors. Random forest model resulted robust and coherent to simulate pastureland suitability under current climatology (classification accuracy error=19%). Accordingly, results indicated that increases in temperatures coupled with decreases in precipitation, as simulated by HadCM3 in the future, would have impacts of great concern on potential pasture distribution. In the specific, an overall decline of pasturelands suitability is predicted by the middle of the century in both A2 (–46%) and B2 (–41%) along the entire chain. However, despite alarming reductions in pastures suitability along the northern (–69% and –71% under A2 and B2 scenarios, respectively) and central Apennines (–90% under both scenarios) by the end of the century, expansions are predicted along the southern areas of the chain (+96% and +105% under A2 and B2 scenarios, respectively). This may be probably due to expansions in pastures dominated by xeric and thermophiles species, which will likely benefit from warmer and drier future conditions predicted in the southern zone of the chain by the HadCM3. Hence, the expected climate, coupled with an increasing abandonment of the traditional grazing practices, will likely threat grassland biodiversity as well as pastoral potential distribution currently dominating the Apennines chain.
机译:这项工作旨在评估气候变化对亚平宁山脉沿线牧草资源的影响。为此,首先对当前阶段的随机森林机器学习模型进行了校准,然后将其应用到HadCM3一般环流模型所预测的未来条件中,以模拟两个时间片中牧区的可能空间变化/移动(以2050和2080)。在GIS环境中整合并协调了先前存在的空间数据库,即Corine土地覆盖图和WorldClim,以提取气候变量(平均季节降水量,最暖月的平均最高温度和最冷月的最低温度)和响应变量(牧场的存在/不存在)用作模型预测指标。随机森林模型具有鲁棒性和连贯性,可以模拟当前气候条件下的草地适宜性(分类精度误差= 19%)。因此,结果表明,如将来由HadCM3模拟的那样,温度升高和降水减少将对潜在的牧场分布产生重大影响。具体而言,到本世纪中叶,预计整个牧场中A2(–46%)和B2(–41%)的牧场适用性总体下降。然而,尽管到本世纪末,北部地区(分别在A2和B2方案下分别为–69%和–71%)和中亚平宁山脉(两种方案下均为–90%)的牧场适宜性下降令人震惊,但预计沿该地区的牧场会增加。南部地区(在A2和B2情景下分别为+ 96%和+ 105%)。这可能是由于以旱生和嗜热菌为主的牧场的扩张,这可能得益于HadCM3预测的链南区未来更温暖,更干燥的未来状况。因此,预期的气候,加上对传统放牧方式的日益放弃,可能会威胁到草原生物多样性以及目前主导亚平宁山脉的牧草潜力分布。

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