, Remote Sensing of Environment, Volume 237, February 2020
Sustainable Development Goal (SDG) indicator 15.1.1 proposes to quantify “Forest area as a proportion of total land area” in order to achieve SDG target 15.1. While area under forest cover can provide useful information regarding discrete changes in forest cover, it does not provide any insight on subtle changes within the broad vegetation class, e.g. forest degradation. Continental or national-level studies, mostly utilizing coarse-scale satellite data, are likely to fail in capturing these changes due to the fine spatial and long temporal characteristics of forest degradation.
, The Lancet Planetary Health, Volume 1, May 2017
, Science Bulletin, Volume 61, 1 December 2016
Future climate change is usually projected by coupled earth system models under specific emission scenarios designed by integrated assessment models (IAMs), and this offline approach means there is no interaction between the coupled earth system models and the IAMs. This paper introduces a new method to design possible future emission scenarios and corresponding climate change, in which a simple economic and climate damage component is added to the coupled earth system model of Beijing Normal University (BNU-ESM).
, Food Research International, Volume 68, February 01, 2015
A changing climate alters the living conditions for almost every species on earth. We recognise that these changes may threaten our environment, our water and food supply, and our health; predicting the likely changes and impacts we try to prepare for different weather conditions. A complicated and perhaps underestimated threat is how climate change may affect foodborne parasites - a subject that tends to be neglected among infectious diseases under any climatic conditions.