4.5 Article

Current and future distribution of the deciduous shrub Hydrangea macrophylla in China estimated by MaxEnt

Journal

ECOLOGY AND EVOLUTION
Volume 11, Issue 22, Pages 16099-16112

Publisher

WILEY
DOI: 10.1002/ece3.8288

Keywords

China; climate change; Hydrangea macrophylla; MaxEnt model; potential geographical distribution; shrub; variable selection

Funding

  1. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) [073108002]

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Climate change significantly affects the growth and distribution of vegetation, such as the widely distributed Hydrangea macrophylla. Using the maximum entropy model, researchers predicted changes in the distribution of suitable habitats for H. macrophylla in China under current and future climate scenarios, finding that precipitation and temperature play key roles. The optimal model showed high accuracy in predicting the potential geographical distribution of H. macrophylla, with habitat expanding northwards in China and centroids shifting the furthest under the maximum greenhouse gas emission scenario.
Climate change has a significant impact on the growth and distribution of vegetation worldwide. Hydrangea macrophylla is widely distributed and considered a model species for studying the distribution and responses of shrub plants under climate change. These results can inform decision-making regarding shrub plant protection, management, and introduction of germplasm resources, and are of great importance for formulating ecological countermeasures to climate change in the future. We used the maximum entropy model to predict the change, scope expansion/reduction, centroid movement, and dominant climate factors that restrict the growth and distribution of H. macrophylla in China under current and future climate change scenarios. It was found that both precipitation and temperature affect the distribution of suitable habitat for H. macrophylla. Akaike information criterion (AICc) was used to select the feature combination (FC) and the regularization multiplier (RM). After the establishment of the optimal model (FC = QP, RM = 0.5), the complexity and over-fitting degree of the model were low (delta AICc = 0, omission rate = 0.026, difference between training and testing area under the curve values = 0.0009), indicating that it had high accuracy in predicting the potential geographical distribution of H. macrophylla (area under the curve = 0.979). Overall, from the current period to future, the potential suitable habitat of this species in China expanded to the north. The greenhouse effect caused by an increase in CO2 emissions would not only increase the area of high-suitability habitat in Central China, but also expand the area of total suitable habitat in the north. Under the maximum greenhouse gas emission scenario (RCP8.5), the migration distance of the centroid was the longest (e.g., By 2070s, the centroids of total and highly suitable areas have shifted 186.15 km and 89.84 km, respectively).

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