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Simon Willcock

Researcher at Bangor University

Publications -  86
Citations -  4977

Simon Willcock is an academic researcher from Bangor University. The author has contributed to research in topics: Ecosystem services & Medicine. The author has an hindex of 26, co-authored 66 publications receiving 3606 citations. Previous affiliations of Simon Willcock include University of Oxford & Scotland's Rural College.

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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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Tree height integrated into pantropical forest biomass estimates

Ted R. Feldpausch, +87 more
- 27 Aug 2012 - 
TL;DR: In this article, the effect of tree height (H) on tropical forest biomass and carbon storage estimates was investigated using data from 20 sites across four continents, and the results showed that tree H is an important allometric factor that needs to be included in future forest biomass estimates to reduce error in estimates of tropical carbon stocks and emissions.
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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.
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Above-ground biomass and structure of 260 African tropical forests.

Simon L. Lewis, +74 more
TL;DR: The results indicate that AGB is mediated by both climate and soils, and suggest that the AGB of African closed-canopy tropical forests may be particularly sensitive to future precipitation and temperature changes.
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Mapping socio-economic scenarios of land cover change: a GIS method to enable ecosystem service modelling.

TL;DR: A GIS method is presented to interpret qualitatively expressed socio-economic scenarios in quantitative map-based terms for carbon storage in the Eastern Arc Mountains of Tanzania and quantifying the impacts of differing future scenarios is important if payments for ecosystem services are to be used to change policy in order to maintain critical ecosystem services.