Predicting the distribution of plant associations under climate change: A case study on Larix gmelinii in China.

Association is the basic unit of plant community classification. Exploring the distribution of plant associations can help improve our understanding of biodiversity conservation. Different associations depend on different habitats and studying the association level is important for ecological restoration, regional ecological protection, regulating the ecological balance, and maintaining biodiversity. However, previous studies have only focused on suitable distribution areas for species and not on the distribution of plant associations. Larix gmelinii is a sensitive and abundant species that occurs along the southern margin of the Eurasian boreal forests, and its distribution is closely related to permafrost. In this study, 420 original plots of L. gmelinii forests were investigated. We used a Maxent model and the ArcGIS software to project the potential geographical distribution of L. gmelinii associations in the future (by 2050 and 2070) according to the climate scenarios RCP 2.6, RCP 4.5, and RCP 8.5. We used the multi-classification logistic regression analysis method to obtain the response of the suitable area change for the L. gmelinii alliance and associations to climate change under different climate scenarios. Results revealed that temperature is the most crucial factor affecting the distribution of L. gmelinii forests and most of its associations under different climate scenarios. Suitable areas for each association type are shrinking by varying degrees, especially due to habitat loss at high altitudes in special terrains. Different L. gmelinii associations should have different management measures based on the site conditions, composition structure, growth, development, and renewal succession trends. Subsequent research should consider data on biological factors to obtain more accurate prediction results.

Model-based conservation planning of the genetic diversity of Phellodendron amurense Rupr due to climate change.

Climate change affects both habitat suitability and the genetic diversity of wild plants. Therefore, predicting and establishing the most effective and coherent conservation areas is essential for the conservation of genetic diversity in response to climate change. This is because genetic variance is a product not only of habitat suitability in conservation areas but also of efficient protection and management. Phellodendron amurense Rupr. is a tree species (family Rutaceae) that is endangered due to excessive and illegal harvesting for use in Chinese medicine. Here, we test a general computational method for the prediction of priority conservation areas (PCAs) by measuring the genetic diversity of P. amurense across the entirety of northeast China using a single strand repeat analysis of twenty microsatellite markers. Using computational modeling, we evaluated the geographical distribution of the species, both now and in different future climate change scenarios. Different populations were analyzed according to genetic diversity, and PCAs were identified using a spatial conservation prioritization framework. These conservation areas were optimized to account for the geographical distribution of P. amurense both now and in the future, to effectively promote gene flow, and to have a long period of validity. In situ and ex situ conservation, strategies for vulnerable populations were proposed. Three populations with low genetic diversity are predicted to be negatively affected by climate change, making conservation of genetic diversity challenging due to decreasing habitat suitability. Habitat suitability was important for the assessment of genetic variability in existing nature reserves, which were found to be much smaller than the proposed PCAs. Finally, a simple set of conservation measures was established through modeling. This combined molecular and computational ecology approach provides a framework for planning the protection of species endangered by climate change.

Development and characterization of polymorphic microsatellite loci in Phellodendron amurense (Rutaceae).

PREMISE OF THE STUDY: Microsatellite markers were developed for the rare species Phellodendron amurense to assess the genetic diversity and population structure of this plant. • METHODS AND RESULTS: In total, 27 microsatellite markers were developed for P. amurense by using an enriched genomic library and hybridization; all of these primers successfully amplified DNA fragments in P. amurense. These markers were screened in 74 individuals from four populations in China; 15 loci were found to be polymorphic, with the number of alleles per locus ranging from one to nine. • CONCLUSIONS: The microsatellite markers developed here represent a useful tool for studying the population genetic structure of P. amurense and to inform toward the development of effective conservation programs for this species.

Isolation and characterization of 20 polymorphic microsatellite markers for Juglans mandshurica (Juglandaceae).

PREMISE OF THE STUDY: Fifty microsatellite loci were developed for the endangered species Juglans mandshurica to investigate its genetic diversity and population structure. • METHODS AND RESULTS: In all, 50 microsatellite markers were isolated from J. mandshurica, using the Fast Isolation by AFLP of Sequences COntaining repeats (FIASCO) protocol. Twenty of these polymorphic markers were assessed in samples collected from 98 individuals among five populations in northeastern China. Across all of the J. mandshurica samples, the number of alleles per locus ranged from one to 17. • CONCLUSIONS: These new microsatellite loci will be useful for conservation genetics studies of J. mandshurica.

Isolation and characterization of 13 novel polymorphic microsatellite markers for Pinus koraiensis (Pinaceae).

PREMISE OF THE STUDY: Thirteen polymorphic microsatellite markers were developed to investigate the genetic diversity and population structure of Pinus koraiensis. • METHODS AND RESULTS: Using the Fast Isolation by AFLP of Sequences COntaining repeats (FIASCO) method with three specific PCR primers for screening the positive clones, 13 loci were found to be polymorphic in 78 individuals of P. koraiensis. Across all of the P. koraiensis samples, the number of alleles per locus ranged from two to 11. • CONCLUSIONS: These polymorphic markers will be useful for conservation genetics studies of this species and to inform the development of effective P. koraiensis conservation programs.

[Distribution and accumulation of vindoline, catharanthine and vinblastine in Catharanthus roseus cultivated in China].

OBJECTIVE: The content of vindoline, catharanthine and vinblastine in the root, stem, leaf, flower and fruit of Catharanthus roseus at various developmental stages were determined, and the biomass allocation was also determined to find the best harvest time. METHOD: The content of vindoline, catharanthine and vinblastine in the root, stem, leaf, flower and fruit of C. roseus were determined by HPLC. RESULT: The content of these alkaloids were influenced by season and it varied in the different tissues of the plant. The content of vindoline and catharanthine in the leaves were the highest, and there was no vindoline detected in the root, but the content of vinblastine in the flower was the highest; the content of vindoline and catharanthine reached the maximum between the August and September, and the content of vinblastine reached the highest after the September. The biomass was the highest in the initial stage of September. CONCLUSION: The best harvest time was in the initial stage of September.