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气候变化对智利人工林生产力的影响。

Effects of climate change on forest plantation productivity in Chile.

机构信息

Investigaciones Forestales Bioforest S.A., Concepción, Chile.

Land and Water, CSIRO, Hobart, Tasmania, Australia.

出版信息

Glob Chang Biol. 2022 Dec;28(24):7391-7409. doi: 10.1111/gcb.16418. Epub 2022 Sep 18.

Abstract

Forest plantations in Chile occupy more than 2.2 million ha and are responsible for 2.1% of the GDP of the country's economy. The ability to accurately predictions of plantations productivity under current and future climate has an impact can enhance on forest management and industrial wood production. The use of process-based models to predict forest growth has been instrumental in improving the understanding and quantifying the effects of climate variability, climate change, and the impact of atmospheric CO concentration and management practices on forest growth. This study uses the 3-PG model to predict future forest productivity Eucalyptus globulus and Pinus radiata. The study integrates climate data from global circulation models used in CMIP5 for scenarios RCP26 and RCP85, digital soil maps for physical and chemical variables. Temporal and spatial tree growth inventories were used to compare with the 3-PG predictions. The results indicated that forest productivity is predicted to potentially increase stand volume (SV) over the next 50 years by 26% and 24% for the RCP26 scenario and between 73% and 62% for the RCP85 scenario for E. globulus and P. radiata, respectively. The predicted increases can be explained by a combination of higher level of atmospheric CO , air temperatures closer to optimum than current, and increases in tree water use efficiency. If the effect of CO is not considered, the predicted differences of SV for 2070 are 16% and 14% for the RCP26 scenario and 22% and 14% for RCP85 for the two species. While shifts in climate and increasing CO are likely to benefit promote higher productivity, other factors such as lack insufficient availability of soil nutrients, events such as increasing frequency and duration of droughts, longer periods of extreme temperatures, competing vegetation, and occurrence of new pests and diseases may compromise these potential gains.

摘要

智利的人工林占地超过 220 万公顷,占该国经济 GDP 的 2.1%。准确预测当前和未来气候下人工林的生产力,对于加强森林管理和工业木材生产具有重要意义。利用基于过程的模型来预测森林生长,有助于提高对气候变异性、气候变化以及大气 CO2浓度和管理实践对森林生长影响的理解和量化。本研究使用 3-PG 模型来预测未来桉树和辐射松的森林生产力。该研究整合了来自 CMIP5 中使用的全球环流模型的气候数据,用于 RCP26 和 RCP85 情景,以及物理和化学变量的数字土壤图。时空树木生长清单用于与 3-PG 预测进行比较。结果表明,预计在未来 50 年内,桉树和辐射松的林分蓄积量(SV)将分别增加 26%和 24%(RCP26 情景)和 73%和 62%(RCP85 情景)。预测的增长可以解释为大气 CO2水平升高、空气温度更接近最佳温度以及树木水分利用效率提高的综合作用。如果不考虑 CO2 的影响,对于 2070 年,RCP26 情景下 SV 的预测差异分别为 16%和 14%,而 RCP85 情景下则分别为 22%和 14%。虽然气候和 CO2 增加可能有利于提高生产力,但其他因素,如土壤养分供应不足、干旱频率和持续时间增加、极端温度持续时间延长、竞争植被以及新病虫害的发生等,可能会影响这些潜在收益。

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