Larix principis-rupprechtii Growth Suitability Based on Potential NPP under Climate Change Scenarios in Hebei Province

被引：0
|
作者：
Lü Z. [1 ,2 ]
Li W. [2 ]
Huang X. [2 ]
Zhang Z. [2 ]
机构：
[1] College of Resource and Environment, Huazhong Agricultural University, Wuhan
[2] Hebei Province Key Laboratory of Forest Trees Germplasm Resources and Forest Protection College of Forestry, Agricultural University of Hebei, Baoding
来源：
Linye Kexue/Scientia Silvae Sinicae | 2019年 / 55卷 / 11期
关键词：
CASA model; Climate change; Growth suitability; Larix principis-rupprechtii; Net primary production;
D O I：
10.11707/j.1001-7488.20191105
中图分类号：
学科分类号：
摘要：
Objective: Simulating the potential NPP spatial pattern and classifying the appropriate growth level of Larix principis-rupprechtii trees, are essential steps to assess the impact of climate change on the species and to provide a theoretical basis for formulating adaptive forest management strategies and for improving forest quality. Method:Based on the forest resource inventory data and the yearly accumulative NDVI data from 2001 to 2010 in Hebei Province, the climate datasets of current and two future periods (2040-2069 and 2070-2099)were generated using the Climate AP model. The CASA model was applied to predict potential NPP of the L. principis-rupprechtii and to analyze its growth suitability in the current and the two future periods. Pearson correlation analysis was used to explore influence of temperature and precipitation on the spatial pattern of potential NPP at the pixel scale. Result:The current average annual potential NPP of L. principis-rupprechtii was 342.7 gC•m-2a-1in Hebei Province. More than 80% areas of Hebei Province, including plains and northwest region with high elevation, had low suitability for the L. principis-rupprechtii growth. Whereas areas with high growth suitability of L. principis-rupprechtii might tend to potentially occur in the subalpine region, only accounting for less than 20% of the whole region. From 2040 to 2069, the average annual potential NPP of L. principis-rupprechtii will be increased to 392.9 gC•m-2a-1, the overall suitability will be significantly improved, and the medium-suitable area will be expanded significantly to 59.4% of the whole region. From 2070 to 2099, the average annual potential NPP of L. principis-rupprechtii will be decreased slightly to 375.1 gC•m-2a-1, the growth suitability will be decreased, and the proportion of high suitable area will be reduced. The potential NPP of L. principis-rupprechtii in Hebei Province was mainly affected by precipitation and it was significantly positively correlated with precipitation in most areas(P< 0.05). The current precipitation conditions limit the productivity of L. principis-rupprechtii. Conclusion:The results indicated that the growth suitability of L. principis-rupprechtii change under changing climate in the future. The change mainly occurred in the region with low and medium-growth suitability and the overall suitability will be improved. Enlarging afforestation area of L. principis-rupprechtii in high growth suitable region for current and future could be an option for preventing the adverse effects of climate change. © 2019, Editorial Department of Scientia Silvae Sinicae. All right reserved.
引用
收藏
页码：37 / 44
页数：7
相关论文
共 31 条
  • [1] Lu Z.G., Li W.B., Huang X.R., Et al., Predicting suitable distribution area of three dominant tree species under climate change scenarios in Hebei Province, Scientia Silvae Sinicae, 55, 3, pp. 13-21, (2019)
  • [2] Peng J.J., He X.Y., Chen Z.J., Et al., Responses of Pinus tabulaeformis forest ecosystem in North China to climate change and elevated CO<sub>2</sub>: a simulation based on BIOME-BGC model and tree-ring data, Chinese Journal of Applied Ecology, 23, 7, pp. 1733-1742, (2012)
  • [3] Qi P.C., GIS-based modeling of the potential distribution and the net primary productivity of deciduous broad-leaved forest in the western part of the Chinese Loess Plateau, (2009)
  • [4] Sun L.Y., Ren X.W., Hebei Tree Records, (1997)
  • [5] Wu Z.L., Chinese Forest: Coniferous Forest, 2, (1999)
  • [6] Zhang F., Zhou G.S., Wang Y.H., Dynamics simulation of net primary productivity by a satellite data-driven CASA model in Inner Mongolian typical steppe, China, Chinese Journal of Plant Ecology, 32, 4, pp. 786-797, (2008)
  • [7] Zhou G.S., Zhang X.S., A natural vegetation NPP model, Chinese Journal of Plant Ecology, 19, 3, pp. 193-200, (1995)
  • [8] Zhou G.S., Zheng Y.R., Chen S.Q., Et al., NPP model of natural vegetation and its application in China, Scientia Silvae Sinicae, 34, 5, pp. 4-13, (1998)
  • [9] Zhu W.Q., Pan Y.Z., Long Z.H., Et al., Estimating net primary productivity of terrestrial vegetation based on GIS and RS: a case study in Inner Mongolia, China, Journal of Remote Sensing, 9, 3, pp. 300-307, (2005)
  • [10] Zhu W.Q., Pan Y.Z., Zhang J.S., Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing, Chinese Journal of Plant Ecology, 31, 3, pp. 413-424, (2007)
1234