04 6月 2024 gabriels



  • Rui Cheng,美国明尼苏达大学
  • Daryl Yang,美国橡树岭国家实验室
  • Fred Huemmric,美国NASA戈达德太空飞行中心
  • Peter Nelson,美国阿科底亚国家公园Schoodic学院
  • Shawn Serbin,美国NASA戈达德太空飞行中心



The circumpolar Arctic is a critically understudied biome at the top of the planet that is experiencing the fastest warming on Earth. Landscapes in this region are extremely fragmented with complex interactions among climate, landform, permafrost, and vegetation that vary dramatically across space and time. Observations from remote sensing platforms provide opportunities for measuring ecological dynamics, but their application to Arctic ecology is strained by a notorious ‘scale’ problem – the mismatch between the scale of the observation and the scale at which ecological processes occur. Ecological patterns and understandings derived from different platforms at different scales often show large discrepancies, due to either changing dominant ecological processes across spatial and temporal scales or the ‘loss/gain’ of information across remote sensing observations that affect the detection of ecological processes. Addressing this scaling problem is critical to improving our description, scaling, and monitoring of Arctic ecosystems and guiding future development and use of remote sensing technology for Arctic Science.

Here we propose a focus collection to tackle the scaling issues for better observing and understanding Arctic ecology. We invite studies that couple field data with remote sensing (e.g., spectral imaging, thermal imaging, LiDAR, UASs) across scales to study the effects of spatial, temporal, and/or spectral scaling on understanding the complexity of Arctic ecosystems. We especially welcome contributions that can provide ground-breaking understandings to guide the future deployment and use of remote sensing technologies in the Arctic.

Key areas covered:

  • Terrestrial ecosystems in the Arctic
  • Aquatic ecosystem in the Arctic
  • Permafrost
  • Remote sensing
  • Plant functional traits
  • Carbon cycling
  • Heterogeneity of Arctic Ecology
  • Spatiotemporal representativeness of remote sensing





作者可登入期刊主页进行在线投稿,在“文章类型”中选择“特刊文章”,并在“选择特刊”的下拉框中选择“Focus on Remote Sensing Scaling for Advancing Arctic Ecology Research”。



Environmental Research: Ecology

  • Environmental Research: Ecology(ERE)是一本多学科、金色开放获取的期刊,致力于以关于全球变化、弹性、减轻和适应影响的兼具科学进展和评估的方式,解决在环境科学、大尺度生态学、生物多样性和保护的交界领域的重要全球挑战。本刊为促进环境科学家、生态学家、资源管理者和政策制定者的对话提供了论坛。本刊鼓励所有的研究方法,包括定量、定性、实验、理论和应用方法。