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Broussonetia papyrifera is an important native tree species in China with strong adaptability, wide distribution, and economic importance. Climate change is considered as the main threat to ecological processes and global biodiversity. Predicting the potential geographical distribution of B. papyrifera in future climate change scenarios will provide a scientific basis for ecological restoration in China. Principal component analysis (PCA) and Pearson correlation analysis were conducted to select the environmental variables. The distribution and changes in the potential suitable area for B. papyrifera were predicted using the maximum entropy (MaxEnt) model and the CIMP6 dataset from 2041 to 2060. The current highly suitable areas for B. papyrifera were mainly located in Guangdong (5.60×10 4 km 2), Guangxi (4.39×10 4 km 2), Taiwan (2.54×10 4 km 2), and Hainan (2.17×10 4 km 2) provinces. The mean temperature of the coldest quarter (11.54-27.11℃), precipitation of the driest quarter (51.48-818.40 mm), and precipitation of the wettest quarter (665.51-2302.60 mm) were the main factors limiting the suitable areas for B. papyrifera. The multi-modal average of the highly and the total suitable areas for B. papyrifera were 111.42×10 4 km 2 and 349.11×10 4 km 2 in the SSP5-8.5 scenario, while those in the SSP1-2.6 scenario were 87.50×10 4 km 2 and 328.29×10 4 km 2, respectively. The gained suitable areas for B. papyrifera will expand to the western and northern China in the future scenarios. The multi-model averaging results showed that the potential available planting area was 212.66×10 4 km 2 and 229.32×10 4 km 2 in the SSP1-2.6 and SSP5-8.5 scenarios, respectively, when the suitable area within the farmland range was excluded.
Broussonetia papyrifera is an important native tree species in China with strong adaptability, wide distribution, and economic importance. Climate change is considered as the main threat to ecological processes and global biodiversity. Predicting the potential geographical distribution of B. papyrifera in future climate change scenarios will provide a scientific basis for ecological restoration in China. Principal component analysis (PCA) and Pearson correlation analysis were conducted to select the environmental variables. The distribution and changes in the potential suitable area for B. papyrifera were predicted using the maximum entropy (MaxEnt) model and the CIMP6 dataset from 2041 to 2060. The current highly suitable areas for B. papyrifera were mainly located in Guangdong (5.60×10 4 km 2), Guangxi (4.39×10 4 km 2), Taiwan (2.54×10 4 km 2), and Hainan (2.17×10 4 km 2) provinces. The mean temperature of the coldest quarter (11.54-27.11℃), precipitation of the driest quarter (51.48-818.40 mm), and precipitation of the wettest quarter (665.51-2302.60 mm) were the main factors limiting the suitable areas for B. papyrifera. The multi-modal average of the highly and the total suitable areas for B. papyrifera were 111.42×10 4 km 2 and 349.11×10 4 km 2 in the SSP5-8.5 scenario, while those in the SSP1-2.6 scenario were 87.50×10 4 km 2 and 328.29×10 4 km 2, respectively. The gained suitable areas for B. papyrifera will expand to the western and northern China in the future scenarios. The multi-model averaging results showed that the potential available planting area was 212.66×10 4 km 2 and 229.32×10 4 km 2 in the SSP1-2.6 and SSP5-8.5 scenarios, respectively, when the suitable area within the farmland range was excluded.
To investigate the plant community structure and species diversity characteristics in the traditional villages of Dong nationality in Southeastern Guizhou and the interrelation between the two, the author adopts biodiversity theory, fractal theory, and forest stand spatial structure parameters to analyze the plant community structure and species diversity characteristics in the traditional villages of Dong nationality in Southeastern Guizhou. The coupling relationship between the two is also investigated. Results showed that: the plant communities in the traditional villages of Dong nationality display a low-degree clustering pattern, and the communities are in a transition from moderately mingled to stable states. Community structure parameters and species diversity are significantly different among different types of green spaces and three spaces, but show no significant changes under different topography and landforms. The spatial isolation degree of tree species in the arbor layer, the individual spatial distribution pattern and the spatial occupancy degree of the arbor layer are the main factors affecting species diversity in the arbor and shrub layer, while the main factor that affects the herb layer diversity is the competitiveness of the arbor layer. Dong culture acts as a key factor in maintaining the plant community structure and species diversity in the traditional villages of Dong nationality in Southeastern Guizhou. In the future, we need coordinate the relationship between ethnic cultural development and ecological environmental protection, strengthen ethnic culture construction to promote the sustainable development of biodiversity. This study can provide a theoretical foundation for the construction of plant landscapes under the background of rural revitalization, which is of important significance to the construction of an ecologically livable environment.
Amid global desertification, this study investigates karst ecosystems; analyzing soil’s physiological and ecological properties within intricate fissure networks supporting plant root growth. This study investigates soil nutrients in three types of rocky fissure network habitats in Maolan, through field surveys and experimental measurements. Significant variability was found across habitats. The quantities of organic carbon, total nitrogen, available nitrogen, available phosphorus, and available potassium were highest in Type I soil, followed by Type III; and were lowest in Type II. Total phosphorus was highest in Type III, intermediate in Type I, and lowest in Type II; while total potassium content was highest in Type III, moderate in Type II, and lowest in Type I. Based on nutrient participation in C, N, P, and K cycles, Type I habitats had the highest levels, Type III had moderate levels, and Type II had the lowest levels; while potassium-related nutrients were highest in Type III. The nutrient ratios C/K, N/K, P/K, and N/P were highest in Type I, moderate in Type II, and lowest in Type III. C/N was highest in Type II, moderate in Type III, and lowest in Type I; while C/P was highest in Type II, moderate in Type I, and lowest in Type III. A comprehensive nutrient evaluation ranked Type I as the best, Type III as moderate, and Type II as the worst. Key factors such as average trace length, areal density, and integration significantly influence soil nutrients by impacting humus and soil storage, and the growth space for plant roots within rocky habitats. Additionally, the orientation of fissures primarily impacts nutrient cycling, while both the angles and lacunarity significantly affect the stoichiometric ratios of nutrients. Rocky habitat networks characterize soil quality. A comparison of existing studies reveals stoichiometric differences between karst and non-karst regions. Effective ecological restoration in karst areas requires targeted strategies that consider the specific attributes of different rocky habitats. This study enhances understanding of soil nutrients in karst forest ecosystems and proposes new approaches for soil’s ecological restoration and combating global desertification.
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