[Effect of competition on the prediction accuracy of individual tree biomass model for natural Larix gmelinii forests]. / ç«žäº‰å¯¹å ´å®‰è½å¶æ¾å¤©ç„¶æž—å•æœ¨ç”Ÿç‰©é‡æ¨¡åž‹é¢„ä¼°ç²¾åº¦çš„å½±å“.

Quantifying the impact of competition on individual tree biomass and its distribution pattern can provide a basis for improving the prediction accuracy of forest biomass models. To accurately quantify the effects of competition factors on individual biomass and its distribution, we constructed three different individual biomass models by using nonlinear coupling equations based on the biomass survey data of 50 Larix gmelinii from 18 plots of Pangu Forest Farm in Daxing'an Mountains. M-1 was a traditional singly additive biomass model. M-2 and M-3 were models taking the distance dependent simple competition index (CI) and distance independent relative diameter (Rd) into account, respectively. Those models were used to reveal the influence of competition factors on the prediction accuracy and distribution pattern of single tree biomass model of L. gmelinii. The results showed that the adjusted R2 of three additive models ranged from 0.694 to 0.974, mean prediction errors ranged from -0.017 to 0.021, and mean absolute errors ranged from 0.152 to 0.357. The introduction of Rd could improve the fitting degree and prediction accuracy of most biomass models, but CI did not affect the model fitting effect and prediction ability. Among the three models, M-3 model had the best performance, with good fitting degree and prediction accuracy of the biomass of each part, which could accurately estimate the single tree biomass of L. gmelinii. Further simulation results showed that the variation of biomass with DBH was mainly affected by CI and Rd grade, and the influence of Rd was stronger than CI. CI had greater influence on root and dry biomass, but less influence on branch and leaf biomass. Rd had a more significant effect on biomass of branch and leaf than on that of root and trunk.

[Clinical Characteristics and Prognosis of Patients with Hematological Malignancies Superimposed with Solid Tumors].

OBJECTIVE: To investigate the clinical characteristics and prognosis of hematological malignancies superimposed patients with solid tumors. METHODS: The clinical data of 30 patients with more than two kinds of malignancy (the second is hematological malignancy) from October 2011 to October 2020 in Department of Hematology, Jiangning Hospital Affiliated to Nanjing Medical University were collected and analyzed retrospectively. The overall survival time was used as the prognostic evaluation standard, and the survival of patients were analyzed by KaplanMeier method. Logrank test and Cox regression model were used to carry out univariate and multivariate retrospective analysis on clinical and laboratory parameters of 30 patients. RESULTS: Among 30 cases, 20 were male, 10 were female, the median age of onset of the second tumor was 70 years old. The common types of the secondary hematological malignancies to solid tumors are myelodysplastic syndrome, acute myeloid leukemia, multiple myeloma. Univariate analysis showed that patients' gender, age, type of solid tumors, the onset of interval between two kinds of tumor, chromosome karyotype were not related to do with the patients' overall survival time. Type of hematologic disease, ECOG score were associated with patients' overall survival time, and the multivariate analysis showed that the type of hematologic disease and ECOG score were independent risk factors for patients with poor prognosis. CONCLUSION: Patients superimposed with solid tumors complicated with myelodysplastic syndrome or acute leukemia and ECOG score ≥3 have poor prognosis and shorter overall survival time, which are independent risk factors influencing the prognosis. Bone marrow injury, immune dysfunction and genetic susceptibility after chemoradiotherapy may be the main causes of these diseases.

[Response of radial growth of Pinus koraiensis and Picea jezoensis to climate change in Xiao-xing'anling Mountains, Northeast China]. / å°å ´å®‰å²­çº¢æ¾å’Œé±¼é³žäº‘æ‰å¾„å‘ç”Ÿé•¿å¯¹æ°”å€™å˜åŒ–çš„å“åº”.

Based on dendrochronological methods, we established residual chronologies of Pinus koraiensis and Picea jezoensis, with the dominant species of broadleaved Korean pine mixed forest at low altitudes chosen as the research object, to identify the key climatic factors affecting the radial growth of the two species in Xiaoxing'anling Mountains, Northeast China. The results showed that the responses of the two species to climate factors were different, and P. koraiensis was more sensitive, and hence more suitable for dendroclimatological analysis. Response function coefficients indicated that the radial growth of P. koraiensis negatively correlated with June mean temperature of current year, while positively correlated with precipitation in June of current year. There was no significant correlation between P. jezoensis and all climate variables. Spatial correlation analysis revealed that variations in chronology of P. koraiensis contained strong regional signals, and the highest correlation occurred in the vicinity of the study area. Warming caused drought stress, which was the main factor that limited the growth of P. koraiensis, and it might have adverse effects on the Korean pine if global temperature continues to increase. The coupling effects of large-scale atmospheric-oceanic variability may affect the radial growth of P. koraiensis in Xiaoxing'anling Mountains.