Predictive Modeling of Suitable Habitats for Cinnamomum Camphora (L.) Presl Using Maxent Model under Climate Change in China

Abstract

Rapid changes in global climate exert tremendous pressure on forest ecosystems. Cinnamomum camphora (L.) Presl is a multi-functional tree species, and its distribution and growth are also affected by climate warming. In order to realize its economic value and ecological function, it is necessary to explore the impact of climate change on its suitable habitats under different scenarios. In this experiment, 181 geographical distribution data were collected, and the MaxEnt algorithm was used to predict the distribution of suitable habitats. To complete the simulation, we selected two greenhouse gas release scenarios, RCP4.5 and RCP8.5, and also three future time periods, 2025s, 2055s, and 2085s. The importance of environmental variables for modeling was evaluated by jackknife test. Our study found that accumulated temperature played a key role in the distribution of camphor trees. With the change of climate, the area of suitable range will increase and continue to move to the northwest of China. These findings could provide guidance for the plantation establishment and resource protection of camphor in China.

Distribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Peru

“…This format allowed the generation of a map of continuous probability values for the distribution in a range from 0 to 1. Furthermore, these values were reclassified into four ranges [66]: (1) "high" potential habitat (>0.6), (2) "moderate" habitat (0.4-0.6), (3) "low" habitat (0.2-0.4), and (4) "non-potential" habitat (<0.2). In addition, to assess coexistence, we intersected the high potential distribution among the ten species.…”

Suitability of Habitats in Nepal for Dactylorhiza hatagirea Now and under Predicted Future Changes in Climate

“…In addition to habitat loss, which is characterized as the greatest threat to species [ 2 ], living creatures are also affected by the increase in human emissions of carbon dioxide due to burning fossil fuels and other greenhouse gases, which are causing climate change [ 1 ]. The potential effects of future climatic conditions on biodiversity have been widely investigated and a large number of publications exist that predict these effects on trees [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ], medicinal herbaceous plants and shrubs [ 11 , 12 , 13 , 14 , 15 , 16 , 17 ], fungi [ 18 ], invasive plants [ 19 , 20 ], terrestrial orchids [ 21 ], etc.…”

Predicting the Suitable Geographical Distribution of Sinadoxa Corydalifolia under Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model

“…There are several reports on the prediction of suitable species distributions under climate change using the MaxEnt model. These reports mainly focus on energy plants, medicinal plants, invasive species, endangered species, and the migration routes of species [ 4 , 38 , 39 , 42 , 45 , 46 , 47 , 48 ]. Different plants have different requirements for their growth environments, resulting in obvious differences in suitable distributions.…”