...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Environmental Management >EcoAnthromes of Alberta: An example of disturbance-informed ecological regionalization using remote sensing
【24h】

EcoAnthromes of Alberta: An example of disturbance-informed ecological regionalization using remote sensing

机译：艾伯塔省生态干旱：以遥感为依据的干扰信息化生态分区示例

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Humans influence ecosystems on magnitudes that often exceed that of natural forces such as climate and geology; however, frameworks rarely include anthropogenic disturbance when delineating unique ecological regions. A critical step toward understanding, managing and monitoring human-altered ecosystems is to incorporate disturbance into ecological regionalizations. Furthermore, quantitative regionalization approaches are desirable to provide cost-effective, repeatable and statistically sound stratification for environmental monitoring. We applied a two-stage multivariate clustering technique to identify 'EcoAnthromes' across a large area - the province of Alberta, Canada - at 30 m spatial resolution, and using primarily remotely sensed inputs. The EcoAnthrome clusters represent regions with unique ecological characteristics based on a combination of natural ecological potential (e.g., climatic and edaphic factors) and disturbance, both natural and anthropogenic. Compared to existing expert-derived Natural Subregions in Alberta, the model-based EcoAnthromes showed greater class separation and explained more variance for an assortment of variables related to land cover, disturbance and species intactness. The EcoAnthromes successfully separated important ecological regions that are defined by complex assemblages of topography, climate and disturbance, such as gravel-bed river valleys, boreal forests, grasslands, post-fire recovery areas and highly disturbed agricultural, industrial and urban landscapes. In addition to presenting a flexible method for EcoAnthrome regionalization, we group and describe the EcoAnthromes created for Alberta and discuss how they can complement expert-derived regionalizations to aid in environmental management efforts, such as species recovery planning and monitoring for threatened species.
机译：人类对生态系统的影响程度往往超过气候和地质等自然力量；然而，当划定独特的生态区域时，框架很少包括人为干扰。理解，管理和监测人类改变的生态系统的关键一步是将干扰纳入生态区域划分。此外，需要定量的区域化方法来为环境监测提供具有成本效益的，可重复的和统计上合理的分层。我们应用了两阶段的多元聚类技术，以30 m的空间分辨率在加拿大艾伯塔省（加拿大）的大片区域内识别“生态蒽”，并主要使用遥感输入。 EcoAnthrome集群代表了具有独特生态特征的区域，这些区域基于自然生态潜能（例如气候和水文因素）和自然与人为干扰的结合。与现有的源自亚伯达省的专家自然分区相比，基于模型的生态Anthromes显示出更大的类别分离，并解释了与土地覆被，干扰和物种完好性相关的各种变量的更多方差。 EcoAnthromes成功地将重要的生态区域分隔开来，这些区域是由地形，气候和干扰因素组成的复杂组合，例如砾石河谷，北方森林，草原，火灾后恢复区以及受到严重干扰的农业，工业和城市景观。除了提供一种灵活的EcoAnthrome区域划分方法外，我们将分组和描述为艾伯塔省创建的EcoAnthromes，并讨论它们如何补充专家派生的区域划分，以协助环境管理工作，例如物种恢复计划和受威胁物种的监测。

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