Eri Yamasaki, Florian Altermatt, Jeannine Cavender-Bares, Meredith C Schuman, Debra Zuppinger-Dingley, Irene Garonna, Fabian D Schneider, Carla Guillén-Escribà, Sofia J van Moorsel, Terhi Hahl, Bernhard Schmid, Gabriela Schaepman-Strub, Michael E Schaepman, Kentaro K Shimizu
Index: 10.1016/j.cosust.2018.03.005
Full Text: HTML
Although the monitoring and prediction of ecosystem dynamics under global change have been extensively assessed, large gaps remain in our knowledge, including a need for concepts in rapid evolution and phenotypic plasticity, and a lack of large-scale and long-term monitoring. Recent genomic studies using the model species Arabidopsis predict that plastic and evolutionary changes in phenology may affect plant reproduction. We propose that three genomic-scale methods would enhance global change studies. First, genome-wide RNA sequencing enables monitoring of diverse functional traits and phenology. Second, sequencing of DNA variants highlights the importance of genetic variation and evolution. Third, DNA metabarcoding provides efficient and unbiased ecosystem monitoring. Integrating these genomic-scale studies with remote sensing will promote the understanding and prediction of biodiversity change.
Spatial ecological networks: planning for sustainability in ...
2018-04-09 [10.1016/j.cosust.2018.03.012] |
Monitoring systems to improve forest conditions
2018-04-06 [10.1016/j.cosust.2018.03.011] |
The limits of voluntary programs for low-carbon buildings fo...
2018-04-03 [10.1016/j.cosust.2018.03.006] |
Towards a global comprehensive and transparent framework for...
2018-04-03 [10.1016/j.cosust.2018.03.009] |
Enabling investment for the transition to a low carbon econo...
2018-03-28 [10.1016/j.cosust.2018.03.004] |
Home | MSDS/SDS Database Search | Journals | Product Classification | Biologically Active Compounds | Selling Leads | About Us | Disclaimer
Copyright © 2024 ChemSrc All Rights Reserved