...
首页> 外文期刊>Environmental Science and Pollution Research >Assessing the spatiotemporal variation of NPP and its response to driving factors in Anhui province, China
【24h】

Assessing the spatiotemporal variation of NPP and its response to driving factors in Anhui province, China

机译:评估NPP的时空变化及其对安徽省驾驶因子的响应

获取原文
获取原文并翻译 | 示例

摘要

Net primary productivity (NPP) of terrestrial ecosystems is an important metric of ecosystem functioning; however, the understanding of response mechanism of NPP to influencing factors and driving mechanisms are still limited. In this study, taking Anhui province as an example, spatio-temporal changes of NPP and its response to influencing factors were investigated for evaluating the effects of climate change and land use and land cover change (LUCC) on regional NPP. The Carnegie-Ames-Stanford Approach (CASA) model was employed for NPP simulation by using the MODIS normalized difference vegetation index (NDVI) data and meteorological data over 2001-2016. Combined domestic LUCC, the spatiotemporal distribution pattern and dynamic change characteristics of NPP under a long time series and its response to climate factors and human activities were analyzed in the Anhui province. The results indicated that from 2001 to 2016, total NPP had a fluctuated and decreased trend with the variation range between 30.52 and 38.07 TgC in Anhui province. The multi-year average of total NPP was about 34.62 TgC. The highest value was in 2008 and the lowest value was in 2011. Among them, amount of forestland NPP was the most. The spatial distribution of NPP shows that the high value area was mainly distributed in southern Anhui mountain areas and western Anhui Dabie mountain areas; the lower value was distributed in the middle in the study area. The area of which the NPP showed a slight decrease and essentially unchanged accounted for 59.35% and 31.82%, respectively. In general, the correlation between vegetation NPP and temperature was greater than that between precipitation. The vegetations NPP of eight land use types were all positively correlated with temperature. However, the other seven types of land use were negatively correlated with precipitation except cultivated land. In the past 16 years, the decrease of cultivated land areas and the increase of urban and construction land areas contributed a lot to the decrease of vegetation NPP in Anhui province. The NPP changes of different land use types were closely related to climatic factors, land cover area, and vegetation types.
机译:陆地生态系统的净初级生产率(NPP)是生态系统运行的重要指标;然而,对影响因素和驾驶机制的NPP响应机制的理解仍然有限。在本研究中,以安徽省为例,研究了NPP的时空变化及其对影响因素的反应,以评估气候变化和土地利用和土地覆盖变革(LUCC)对区域NPP的影响。 Carnegie-AMES-STANFORD方法(CASA)模型用于通过使用MODIS归一化差异植被指数(NDVI)数据和2001 - 2016年的气象数据来用于NPP仿真。在漫长的时间序列下,国内LUCC,NPP的时空分布模式和动态变化特征及其对气候因素和人类活动的响应。结果表明,从2001年到2016年,总NPP在安徽省30.52和38.07英镑之间的变化范围波动和下降趋势。总NPP的多年平均值约为34.62 TGC。最高价值是2008年,最低价值在2011年。其中,林地NPP的数量最多。 NPP的空间分布表明,高价值区域主要分布在安徽南部和安徽省西部山区;较低的值分布在研究区域的中间。 NPP的地区分别表现出略微减少,基本不变地占59.35%和31.82%。通常,植被NPP和温度之间的相关性大于沉淀之间的相关性。植被NPP的八种土地使用类型与温度呈正相关。然而,除了耕地之外,其他七种类型的土地使用与除耕地之外的降水负相关。在过去的16年中,耕地地区的减少和城市和建设土地的增加贡献了安徽省植被植被下降。不同土地使用类型的NPP变化与气候因素,陆地覆盖面积和植被类型密切相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号