The Landscape Regeneration Toolkit
Frequently asked questions
What are key considerations when adding species to improve landscape functioning?
For landscape regeneration, seed sources should have a high level of variation to provide resilience against climate variability and biological factors such as pathogens. This study provides a landscape genomic model for evaluating genomic variation suitable for predicted future climates. >
Supple, M.A. et al. (2018). Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change. eLIFE. 7.
For species that hold most of their genetic variation within populations, there could be little benefit in planning conservation strategies around environmental adaptation of seed sources. >
von Takach Dukai, B. et al. (2019). Pervasive admixture between eucalypt species has consequences for conservation and assisted migration.
There are many ethical, legal, and scientific issues of "managed relocation" (moving species to improve ecosystem functioning under climate change). This paper offers suggestions for land managers and government agencies. >
Schwartz, M.W. et al. (2012). Managed Relocation: Integrating the Scientific, Regulatory, and Ethical Challenges.
How can genetic data from plants help to combat climate change?
New technologies are helping to develop crops for better performance under climate change. This paper describes advancements that can help to inform plant breeding and production programs. >
Namin, S.T. et al. (2018). Deep phenotyping: deep learning for temporal phenotype/genotype classification.
This paper describes how genomics can help land managers plan to increase biodiversity for greater ecosystem resilience and conservation. >
Hoffmann, A. et al. (2015). A framework for incorporating evolutionary genomics into biodiversity conservation and management.
Climate Change Responses.
Control/sensing methods can combine with genetic databases to help identify high-performing plants. This paper explores how this can help to guide plant production efforts to predict growing results under climate change. >
Brown, T.B. et al. (2014). TraitCapture: genomic and environment modelling of plant phenomic data.
Current Opinion in Plant Biology
What kinds of plants have been involved in landscape genomic studies?
Many species have been studied under varying climate conditions at the genome-level. This paper
lists some species
and summarizes key research findings. >
Bragg, J.G. et al. (2015). Genomic variation across landscapes: insights and applications.
© 2019 Justin Borevitz
Design and illustrations by Maya P. Lim