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Lan Qie

Researcher at University of Lincoln

Publications -  37
Citations -  3100

Lan Qie is an academic researcher from University of Lincoln. The author has contributed to research in topics: Rainforest & Biodiversity. The author has an hindex of 18, co-authored 35 publications receiving 2065 citations. Previous affiliations of Lan Qie include Xishuangbanna Tropical Botanical Garden & University of Leeds.

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An integrated pan‐tropical biomass map using multiple reference datasets

TL;DR: The fusion method can be applied at any scale including the policy-relevant national level, where it can provide improved biomass estimates by integrating existing regional biomass maps as input maps and additional, country-specific reference datasets.
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Asynchronous carbon sink saturation in African and Amazonian tropical forests

Wannes Hubau, +132 more
- 04 Mar 2020 - 
TL;DR: Overall, the uptake of carbon into Earth’s intact tropical forests peaked in the 1990s and independent observations indicating greater recent carbon uptake into the Northern Hemisphere landmass reinforce the conclusion that the intact tropical forest carbon sink has already peaked.

Nonlinear elastic and viscoelastic deformation of the human red blood cell with optical tweezers.

TL;DR: New experimental and computational results on shape evolution, force-extension curves, elastic properties and viscoelastic response of human red blood cells subjected to large elastic deformation using optical tweezers are presented.
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Compositional response of Amazon forests to climate change

Adriane Esquivel-Muelbert, +111 more
TL;DR: A slow shift to a more dry‐affiliated Amazonia is underway, with changes in compositional dynamics consistent with climate‐change drivers, but yet to significantly impact whole‐community composition.
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Diversity and carbon storage across the tropical forest biome

Martin J. P. Sullivan, +124 more
- 17 Jan 2017 - 
TL;DR: In this article, a pan-tropical dataset of 360 plots located in structurally intact old-growth closed-canopy forest, surveyed using standardised methods, allowing a multi-scale evaluation of diversity-carbon relationships in tropical forests.