Team Photos - Growing Together at the Carbon Cycle Lab

This section features our team's group photos, capturing the collaborative spirit and camaraderie that define our work. These images reflect the diverse backgrounds and expertise of our members, all united by a shared goal: advancing scientific knowledge and making meaningful contributions to our field.

Field Survey Photos - Subtropical Forests in Dinghu Mountain

This collection highlights our long-term field surveys at Dinghu Mountain, a key site for studying subtropical forest ecosystems. Through years of field monitoring, we aim to reveal the dynamics of plant diversity and carbon cycling, offering valuable insights for sustainable forest management and conservation.

Drone Photogrammetry - Advancing Ecology Through Aerial Insights

Explore how we leverage drone photogrammetry to capture high-resolution images for intelligent sensing. This gallery showcases our use of drone photogrammetry as a cutting-edge tool in ecological research. As part of the Carbon Cycle Lab, we are excited to incorporate this innovative approach into our work.

The Lab Logo - Coupling the Carbon Cycle and Plant Diversity

Design Concept

  • The logo combines the acronym CCL (Carbon Cycle Lab), the letter E (Ecosystem Ecology), the Earth, a satellite orbit, and a bird in upward flight, symbolizing a dynamic and forward-looking vision for ecological research.

Visual Elements

  • The logo primarily features four distinct leaf types—needle, narrow, broad, and stipule—arranged in a color gradient from dark green and light green to yellow and red. These leaves represent the lab’s emphasis on forest ecosystem dynamics, particularly the integration of carbon cycling with plant diversity.

  • Embedded within the central stipule is a satellite orbit, symbolizing satellite remote sensing, and the bird’s eye, representing advanced UAV-based sensing technology.

Scientific Vision

  • The logo embodies the lab’s mission to investigate forest ecosystem processes across multiple spatial and biological scales, from the global to individual organs. It reflects a commitment to innovative and integrative approaches, combining field observations, remote sensing, and process-based modeling to advance ecological understanding in a changing world.