The objective of this research is to evaluate the potential of remote sensing data for the modelling of mushroom yields in forests at large spatial scales. Specifically, we want to see if combining remote sensor-based data could represent more accuracy to the current models which are based on climate observations. Showing the potential of remote sensing to model mushroom yields is a first step for the future development of small-scale predictive models.
Case studies tagged with monitoring methodologies
A large number of the medicinal and aromatic plants (MAPs) on the market come from wild collection and some of them are being overexploited or exploited without following proper practices. Establishing an adequate management could maintain the use of some species without compromising their conservation and obtain a benefit for the rural community.
In order to collect, it is necessary to evaluate the situation of that species in the place where it is going to be collected to estimate if it can be considered a “resource” or not, and to do it following an adequate methodology.