陕西省典型天然次生林和人工林生产力对气候变化的响应

doi:10.13287/j.1001-9332.201909.022

应用生态学报 ›› 2019, Vol. 30 ›› Issue (9): 2892-2902.doi: 10.13287/j.1001-9332.201909.022

陕西省典型天然次生林和人工林生产力对气候变化的响应

梁思琦¹, 彭守璋^2,3, 陈云明^2,3*

¹西北农林科技大学水土保持研究所, 陕西杨凌 712100;
²西北农林科技大学黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌 712100;
³中国科学院水利部水土保持研究所, 陕西杨凌 712100

收稿日期:2019-05-20 出版日期:2019-09-15 发布日期:2019-09-15
通讯作者: * E-mail: ymchen@ms.iswc.ac.cn
作者简介:梁思琦,男,1994年生,硕士研究生.主要从事流域生态学研究.E-mail:qsl675578582@163.com
基金资助:
国家自然科学基金项目(41601058)、中央高校基本科研业务费专项资金项目(2452017183)和中国科学院西部之光项目(XAB2015B07)资助

Responses of productivity of typical natural secondary forests and plantations to climate change in Shaanxi Province, China

LIANG Si-qi¹, PENG Shou-zhang^2,3, CHEN Yun-ming^2,3

¹Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China;
²Stake Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Northwest A&F University, Yangling 712100, Shaanxi, China;
³Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China

Received:2019-05-20 Online:2019-09-15 Published:2019-09-15
Contact: * E-mail: ymchen@ms.iswc.ac.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (41601058), the Fundamental Research Funds for the Central Universities (2452017183), and the West Light Foundation of Chinese Academy of Sciences (XAB2015B07)

摘要/Abstract

摘要： 本研究利用基于过程的动态植被模型LPJ-GUESS模拟并分析陕西省栎类林和刺槐林在未来时期(2015—2100年)不同气候情景下净初级生产力(NPP)和净生态系统生产力(NEP)的动态变化和趋势.结果表明: 与基准时期(1961—1990年)相比,未来时期陕北地区栎类林和刺槐林NPP将分别下降4.9%～29.5%、22.5%～56.2%,而在关中和陕南地区栎类林和刺槐林NPP将分别升高13.0%～49.0%、21.3%～62.9%; 未来时期,不同情景下的栎类林和刺槐林NPP均表现为RCP_2.6<RCP_4.5<RCP_8.5;未来时期,2种不同类型森林在陕北、关中、陕南3个分区均表现为碳汇,栎类林在陕北和关中地区的碳汇功能更强,而刺槐林在陕南地区的碳汇功能更强;3个分区刺槐林在不同RCP情景下NEP的变化幅度均大于栎类林.

Abstract: We analyzed the changes of net primary productivity (NPP) and net ecosystem productivity (NEP) of Quercus spp. forest and Robinia pseudoacacia plantation under different future climate scenarios in Shaanxi Province during 2015-2100, using the process-based dynamic vegetation model-LPJ-GUESS. The results showed that compared with the benchmark period (1961-1990), NPP of Quercus spp. forest and R. pseudoacacia plantation in northern Shaanxi would decrease by 4.9%-29.5% and 22.5%-56.2% respectively, while that in Guanzhong and southern Shaanxi would increase by 13.0%-49.0% and 21.3%-62.9% respectively in the future. The NPP of Quercus spp. forest and R. pseudoacacia plantation under the RCP_8.5 scenario was the highest, followed by that under the RCP_4.5 and RCP_2.6 scenarios. Those two types of forest would be carbon sink in three subregions in the future. Quercus spp. forest would have stronger carbon sink function in nor-thern Shaanxi and Guanzhong, while R. pseudoacacia plantation would have stronger carbon sink function in Southern Shaanxi. Under different RCP scenarios, the NEP variation range of R. pseu-doacacia plantation was greater than that of Quercus spp. forest in three subregions.

梁思琦, 彭守璋, 陈云明. 陕西省典型天然次生林和人工林生产力对气候变化的响应[J]. 应用生态学报, 2019, 30(9): 2892-2902.

LIANG Si-qi, PENG Shou-zhang, CHEN Yun-ming. Responses of productivity of typical natural secondary forests and plantations to climate change in Shaanxi Province, China[J]. Chinese Journal of Applied Ecology, 2019, 30(9): 2892-2902.

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陕西省典型天然次生林和人工林生产力对气候变化的响应

Responses of productivity of typical natural secondary forests and plantations to climate change in Shaanxi Province, China

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