Kong Fen

Bio: Kong Fen is an academic researcher. The author has contributed to research in topics: Paeonia rockii & Pruning. The author has an hindex of 2, co-authored 3 publications receiving 9 citations.

Assessing the impact of climate change on the distribution of Osmanthus fragrans using Maxent

Abstract: Models that evaluate the potential geographic distribution of species can be used with a variety of important applications in conservation biology. Osmanthus fragrans has high ornamental, culinary, and medicinal value, and is widely used in landscaping. However, its preferred habitat and the environmental factors that determine its distribution remain largely unknown; the environmental factors that shape its suitability also require analysis. Based on 89 occurrence records and 30 environmental variables, this study constructed Maxent models for current as well as future appropriate habitats for O. fragrans. The results indicate that UV-B seasonality (19.1%), precipitation seasonality (18.8%), annual temperature range (13.1%), and mean diurnal temperature range (12.5%) were the most important factors used for interpreting the environmental demands for this species. Highly appropriate habitats for O. fragrans were mainly distributed in southwestern Jiangsu, southern Anhui, Shanghai, Zhejiang, Fujian, northern Guangdong, Guangxi, southern Hunan, southern Hubei, Sichuan, and Taiwan. Under climate change scenarios, the spatial extent of the area of suitable distribution will decrease, and the distribution center of O. fragrans will shift to the southwest. The results of this study will help land managers to avoid blindly introducing this species into inappropriate habitat while improving O. fragrans yield and quality.

Pruning method for preventing degeneration of mother branch of paeonia rockii

Abstract: The invention discloses a pruning method for preventing the degeneration of the mother branch of the paeonia rockii. The method comprises the steps of 1, determining the pruning time; 2, implementing the pruning method: a, clearing away old branches, b, conducting double branch renewal or trunk cutting. The pruning method for preventing the degeneration of the mother branch of the paeonia rockii has the advantages that the pruning method can solve the problem that branches of the ornamental paeonia rockii are scattered and disorderly lie around, the inner hall is closed, the flower and fruit branch and the mother branch are slow in growth or seriously degenerated and withered to death, and the pruning method can make the paeonia rockii for oil use keep stable and high in yield, the paeonia rockii for ornamental use is kept big in flower and bright in color, and the tree shape looks robust.

Planting method of oil-utilized paeonia rockii for sakura interplanting

Abstract: The invention discloses a planting method of oil-utilized paeonia rockii for sakura interplanting. The planting method comprises the following steps of 1) selecting a nursery land; 2) performing soilpreparation disinfection and pest removal; 3) performing fertilizing; 4) cultivating seedlings; and 5) executing post management. The method has the beneficial effects that implanting of sakura and oil-utilized paeonia rockii is performed, the sense of layering and perspective rate are improved in terms of the clandscape effect, and the ornamental value of a planting base is improved; in terms ofinteraction, sakura and paeonia rockii form mingled forest, organic matter content is increased, the soil is loose in texture, the porosity of soil is improved, surface runoff and soil loss are reduced, relatively high suppression is achieved on disease and pests, and soil resources are saved; in terms of economic benefit, the benefits of sakura planters is highly increased by virtue of the interplanting oil-utilized paeonia rockii; oil-utilized paeonia rockii can bring economic values for many years after one time of investment; and meanwhile, the method has the advantages of simple plantingprocess and low planting cost.

Global potential distribution prediction of Xanthium italicum based on Maxent model.

Abstract: Alien invasive plants pose a threat to global biodiversity and the cost of control continues to rise. Early detection and prediction of potential risk areas are essential to minimize ecological and socio-economic costs. In this study, the Maxent model was used to predict current and future climatic conditions to estimate the potential global distribution of the invasive plant Xanthium italicum. The model consists of 366 occurrence records (10 repeats, 75% for calibration and 25% for verification) and 10 climate prediction variables. According to the model forecast, the distribution of X. italicum was expected to shrink in future climate scenarios with human intervention, which may be mainly caused by the rise in global average annual temperature. The ROC curve showed that the AUC values of the training set and the test set are 0.965 and 0.906, respectively, indicating that the prediction result of this model was excellent. The contribution rates of annual mean temperature, monthly mean diurnal temperature range, standard deviation of temperature seasonal change and annual average precipitation to the geographical distribution of X. italicum were 65.3%, 11.2%, 9.0%, and 7.7%, respectively, and the total contribution rate was 93.2%. These four variables are the dominant environmental factors affecting the potential distribution of X. italicum, and the influence of temperature is greater than that of precipitation. Through our study on the potential distribution prediction of X. italicum under the future climatic conditions, it has contribution for all countries to strengthen its monitoring, prevention and control, including early warning.

MaxEnt Modeling Based on CMIP6 Models to Project Potential Suitable Zones for Cunninghamia lanceolata in China

Abstract: Cunninghamia lanceolata (Lamb.) Hook. (Chinese fir) is one of the main timber species in Southern China, which has a wide planting range that accounts for 25% of the overall afforested area. Moreover, it plays a critical role in soil and water conservation; however, its suitability is subject to climate change. For this study, the appropriate distribution area of C. lanceolata was analyzed using the MaxEnt model based on CMIP6 data, spanning 2041–2060. The results revealed that (1) the minimum temperature of the coldest month (bio6), and the mean diurnal range (bio2) were the most important environmental variables that affected the distribution of C. lanceolata; (2) the currently suitable areas of C. lanceolata were primarily distributed along the southern coastal areas of China, of which 55% were moderately so, while only 18% were highly suitable; (3) the projected suitable area of C. lanceolata would likely expand based on the BCC-CSM2-MR, CanESM5, and MRI-ESM2-0 under different SSPs spanning 2041–2060. The increased area estimated for the future ranged from 0.18 to 0.29 million km2, where the total suitable area of C. lanceolata attained a maximum value of 2.50 million km2 under the SSP3-7.0 scenario, with a lowest value of 2.39 million km2 under the SSP5-8.5 scenario; (4) in combination with land use and farmland protection policies of China, it is estimated that more than 60% of suitable land area could be utilized for C. lanceolata planting from 2041–2060 under different SSP scenarios. Although climate change is having an increasing influence on species distribution, the deleterious impacts of anthropogenic activities cannot be ignored. In the future, further attention should be paid to the investigation of species distribution under the combined impacts of climate change and human activities.