Incorporating Local Adaptation Into Species Distribution Modeling of Paeonia mairei, an Endemic Plant to China

Chen, Qihang; Yin, Yijia; Zhao, Rui; Yang, Yong; Silva, Jaime A. Teixeira da; Yu, Xiaonan

doi:10.3389/fpls.2019.01717

Cited by 37 publications

(18 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, behavioral adaptations, such as altered depth use (Kleisner et al, 2016;Poloczanska et al, 2016) or spawning chronology could also mitigate the need for latitudinal distribution shifts in response to pervasive warming. Continued advances in species distribution modeling techniques such as hybrid models (Rodríguez et al, 2019) and adaptive models (Bush et al, 2016;Chen et al, 2020) will allow for more in-depth and holistic assessments of species vulnerabilities to climate change (Peck et al, 2018).…”

Section: Model Caveats and Assumptionsmentioning

confidence: 99%

Forecasted Shifts in Thermal Habitat for Cod Species in the Northwest Atlantic and Eastern Canadian Arctic

et al. 2021

View full text Add to dashboard Cite

Climate change will alter ecosystems and impose hardships on marine resource users as fish assemblages redistribute to habitats that meet their physiological requirements. Marine gadids represent some of the most ecologically and socio-economically important species in the North Atlantic, but face an uncertain future in the wake of rising ocean temperatures. We applied CMIP5 ocean temperature projections to egg survival and juvenile growth models of three northwest Atlantic coastal species of gadids (Atlantic cod, Polar cod, and Greenland cod), each with different thermal affinities and life histories. We illustrate how physiologically based species distribution models (SDMs) can be used to predict habitat distribution shifts and compare vulnerabilities of species and life stages with changing ocean conditions. We also derived an integrated habitat suitability index from the combined surfaces of each metric to predict areas and periods where thermal conditions were suitable for both life stages. Suitable thermal habitat shifted poleward for the juvenile life stages of all three species, but the area remaining differed across species and life stages through time. Arctic specialists like Polar cod are predicted to experience reductions in suitable juvenile habitat based on metrics of egg survival and growth potential. In contrast, habitat loss in boreal and subarctic species like Atlantic cod and Greenland cod may be dampened due to increases in suitable egg survival habitats as suitable juvenile growth potential habitats decrease. These results emphasize the need for mechanistic SDMs that can account for the combined effects of changing seasonal thermal requirements under varying climate change scenarios.

show abstract

Section: Model Caveats and Assumptionsmentioning

confidence: 99%

Forecasted Shifts in Thermal Habitat for Cod Species in the Northwest Atlantic and Eastern Canadian Arctic

et al. 2021

View full text Add to dashboard Cite

show abstract

“…In addition to the area changes, a feature of distribution changes, the influence of climate on the migration of suitable habitats for species is also important[43]. In this study, the future centroids of the four species generally displayed the characteristic of shifting north or west compared to the current position of the centroids, and the characteristic was the same as that of many species distributed in central and western China under the future scenarios[44][45]. The centroids of the four species had different shift distances in different periods under different scenarios, and the maximum centroid shift distances of each species ranged from 30 km to 100 km, which may be caused by the complex terrain and the suitable conditions of the species.…”

mentioning

confidence: 61%

Predicting the current and future distribution of four original plants of Gentianae Macrophyllae Radix in China under climate change scenarios

Cao

Liu

et al. 2021

Preprint

View full text Add to dashboard Cite

The wild resources of the four original plants (Gentiana crasicaulis Duthie ex Burk, Gentiana daurica Fisch, Gentiana straminea Maxim, and Gentiana macrophylla Pall) of Gentianae Macrophyllae Radix are becoming exhausted. Predicting the distribution under current and future climate scenarios is of significance for the sustainable utilization of resources and ecological protection. In this study, we constructed four species distribution models (SDMs) combining species distribution informations, 19 bioclimatic variables, and the maximum entropy (MaxEnt) model. The results showed that these 4 plants prefer a cool and humid climate. Under the future climate scenarios, the areas of the highly suitable habitats for Gentiana crasicaulis Duthie ex Burk and Gentiana daurica Fisch were likely to decrease, while Gentiana straminea Maxim was likely to expand, and Gentiana macrophylla Pall was less affected. In addition, the centroids of the highly suitable habitats for the four species shifted north or west. Most notably, most of the highly suitable habitats for the four species remained unchanged, which would be the preferred area for semi-artificial cultivation. The above information in this study would contribute to the development of reasonable strategies to reduce the impact of climate change on the four original plants.

show abstract

“…Guyang County, Baotou City has been certified by the Ministry of Agriculture and Rural Affairs of the People’s Republic of China as a geographical indication product for agriculture, and the quality of A. membranaceus grown in this area has been recognized by the state and society. 12 In a study over a larger area, Chen et al (2020) used an SDM to predict the potential distribution of Paeonia mairei , which is an endemic plant to China, and provided guidance for the conservation of this species. Wang et al (2021) studied the potential distribution of six Chinese almonds on a global scale to provide a reference for their wild species development and cultivation by exploring the relationship between environment and their distribution.…”

Section: Discussionmentioning

confidence: 99%

“…Guyang County, Baotou City has been certified by the Ministry of Agriculture and Rural Affairs of the People's Republic of China as a geographical indication product for agriculture, and the quality of A. membranaceus grown in this area has been recognized by the state and society. 12 In a study over a larger area, Chen et al (2020) used an SDM to predict the potential distribution FIGURE 6 | Regional suitability maps of high-quality Gentiana dahurica in Inner Mongolia. The suitability is based on swertiamarin (A), gentiopicroside (B), sweroside (C), total amount of loganic acid and gentiopicroside (D), and total iridoid (E) contents.…”

Section: Practical Application Of Predictionsmentioning

confidence: 99%

Influence of the Environment on the Distribution and Quality of Gentiana dahurica Fisch.

et al. 2021

View full text Add to dashboard Cite

Gentiana dahurica Fisch. is a characteristic medicinal plant found in Inner Mongolia, China. To meet the increase in market demand and promote the development of medicinal plant science, we explored the influence of the environment on its distribution and the quantity of its active compounds (loganic acid and 6’-O-β-D-glucosylgentiopicroside) to find suitable cultivation areas for G. dahurica. Based on the geographical distribution of G. dahurica in Inner Mongolia and the ecological factors that affect its growth, identified from the literature and field visits, a boosted regression tree (BRT) was used to model ecologically suitable areas in the region. The relationship between the content of each of active compound in the plant and ecological factors was also established for Inner Mongolia using linear regression. The results showed that elevation and soil type had the most significant influence on the distribution of G. dahurica—their relative contribution was 30.188% and 28.947%, respectively. The factors that had the greatest impact on the distribution of high-quality G. dahurica were annual precipitation, annual mean temperature, and temperature seasonality. The results of BRT and linear regression modeling showed that suitable areas for high-quality G. dahurica included eastern Ordos, southern Baotou, Hohhot, southern Wulanchabu, southern Xilin Gol, and central Chifeng. However, there were no significant correlations between the contents of loganic acid and 6’-O-β-D-glucosylgentiopicroside and the ecological factors. This study explored the influence of the environment on the growth and quantity of active compounds in G. dahurica to provide guidance for coordinating the development of medicinal plant science.

show abstract

Incorporating Local Adaptation Into Species Distribution Modeling of Paeonia mairei, an Endemic Plant to China

Cited by 37 publications

References 39 publications

Forecasted Shifts in Thermal Habitat for Cod Species in the Northwest Atlantic and Eastern Canadian Arctic

Forecasted Shifts in Thermal Habitat for Cod Species in the Northwest Atlantic and Eastern Canadian Arctic

Predicting the current and future distribution of four original plants of Gentianae Macrophyllae Radix in China under climate change scenarios

Influence of the Environment on the Distribution and Quality of Gentiana dahurica Fisch.

Contact Info

Product

Resources

About