Environmental and microbiome datasets were integrated to quantify the potential damage of plant diseases to global tea-producing regions.
Core Findings
Constructed an integrated big data prediction model coupling climate and fungal plant diseases
Calculated that over one-third of global tea plantations are threatened by disease recession
Proposed ecological prevention strategies and suitable habitat protection schemes for plateau tea-growing areas
Publication Info: Published in Frontiers series journals (IF = 5.8)
Research Progress
Climate-Pathogen Coupled Model Warns That Nearly 30% of Global Tea Plantations Face Risks of Disease-Induced Decline
👤 Yang Dong’s Group
📅 九月 15, 2021
👁 Views 1
Summary:A spatiotemporal prediction model was built by integrating climate and pathogen big data to evaluate the long-term adverse impacts of climate change on tea plantation suitable habitats. The relevant paper was published in the Frontiers series journals (Impact Factor: 5.8).