Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model
文献类型：期刊论文
| 作者 | Ye Hui; Huang Xiao-tao; Luo Ge-ping; Wang Jun-bang; Zhang Miao; Wang Xin-xin |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2019 |
| 卷号 | 16期号:2页码:323-336 |
| ISSN号 | 1672-6316 |
| 关键词 | Remote sensing Defoliation formulation model Net primary production Grazed land Spatial-temporal patterns Xinjiang |
| DOI | 10.1007/s11629-018-5200-2 |
| 文献子类 | Article |
| 英文摘要 | Remote sensing (RS) technologies provide robust techniques for quantifying net primary productivity (NPP) which is a key component of ecosystem production management. Applying RS, the confounding effects of carbon consumed by livestock grazing were neglected by previous studies, which created uncertainties and underestimation of NPP for the grazed lands. The grasslands in Xinjiang were selected as a case study to improve the RS based NPP estimation. A defoliation formulation model (DFM) based on RS is developed to evaluate the extent of underestimated NPP between 1982 and 2011. The estimates were then used to examine the spatiotemporal patterns of the calculated NPP. Results show that average annual underestimated NPP was 55.74 gC.m(-2)yr(-1) over the time period understudied, accounting for 29.06% of the total NPP for the Xinjiang grasslands. The spatial distribution of underestimated NPP is related to both grazing intensity and time. Data for the Xinjiang grasslands show that the average annual NPP was 179.41 gC.m(-2)yr(-1), the annual NPP with an increasing trend was observed at a rate of 1.04 gC.m(-2)yr(-1) between 1982 and 2011. The spatial distribution of NPP reveals distinct variations from high to low encompassing the geolocations of the Tianshan Mountains, northern and southern Xinjiang Province and corresponding with mid-mountain meadow, typical grassland, desert grassland, alpine meadow, and saline meadow grassland types. This study contributes to improving RS-based NPP estimations for grazed land and provides a more accurate data to support the scientific management of fragile grassland ecosystems in Xinjiang. |
| 电子版国际标准刊号 | 1993-0321 |
| 语种 | 英语 |
| WOS记录号 | WOS:000458657000007 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/46431]  |
| 专题 | Journal of Mountain Science_Journal of Mountain Science-2019_Vol16 No.2 |
| 推荐引用方式 GB/T 7714 | Ye Hui,Huang Xiao-tao,Luo Ge-ping,et al. Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(2):323-336. |
| APA | Ye Hui,Huang Xiao-tao,Luo Ge-ping,Wang Jun-bang,Zhang Miao,&Wang Xin-xin.(2019).Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model.JOURNAL OF MOUNTAIN SCIENCE,16(2),323-336. |
| MLA | Ye Hui,et al."Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model".JOURNAL OF MOUNTAIN SCIENCE 16.2(2019):323-336. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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