Arid
DOI10.1016/j.catena.2022.106263
Monitoring the impacts of cultivated land quality on crop production capacity in arid regions
Zhuang, Qingwei; Wu, Shixin; Huang, Xiao; Kong, Lu; Yan, Yuyan; Xiao, Hao; Li, Yuzhen; Cai, Peng
通讯作者Wu, SX
来源期刊CATENA
ISSN0341-8162
EISSN1872-6887
出版年2022
卷号214
英文摘要Cultivated land plays a vital role in human survival and the development of human civilization. The cultivated land quality (CLQ) is of considerable significance for ensuring food security and social stability. Although studies have been conducted to assess CLQ, efforts regarding the quantitative impacts of CLQ on crop production capacity are still scarce, especially in arid regions. Understanding such a question greatly benefits land resources management and sustainable development of oasis agriculture. The objective of this study is to explore the spatiotemporal variations of CLQ and to quantify the impacts of CLQ on crop production capacity via an ordinary linear regression (OLS) model and correction analysis in arid regions. The Delphi-AHP (analytic hierarchy process) method is applied to assess CLQ in this study with the highest accuracy (96.35%). The average score of cultivated land quality (S-CLQ) is 58.75 in the study area. The results further suggest that the quality of decreasing cultivated land (61.53) is much higher than that of increasing cultivated land (57.99). We use net primary productivity (NPP) calculated by the vegetation photosynthesis model (VPM) to simulate the crop production capacity and find that CLQ has a significant positive impact on crop production capacity (R-2 = 0.706). The distribution of average annual NPP is similar to that of CLQ. 62.41% of cultivated land shows an increasing trend in annual NPP, whereas 37.57% of cultivated land shows a decreasing trend. Pearson coefficient by intervals is calculated to identify areas where crop production capacity does not match the quality of cultivated land. The results reveal considerable differences in the Pearson coefficient in various intervals (negative correlation in 5 intervals and positive correlation in 10 intervals). This research quantifies the impacts of CLQ on crop production capacity and provides a way to accurately capture the location of cultivated land that needs to be improved in arid regions.
英文关键词Cultivated land quality Crop production capacity Vegetation photosynthesis model Delphi-analytic hierarchy process Arid regions
类型Article
语种英语
收录类别SCI-E ; SSCI
WOS记录号WOS:000798080300003
WOS关键词SANGONG RIVER-BASIN ; CLIMATE-CHANGE ; AIRBORNE LIDAR ; HEAVY-METALS ; SOIL ; MODEL ; SCALE ; EVAPOTRANSPIRATION ; PHOTOSYNTHESIS ; ACCUMULATION
WOS类目Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向Geology ; Agriculture ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/392093
推荐引用方式
GB/T 7714
Zhuang, Qingwei,Wu, Shixin,Huang, Xiao,et al. Monitoring the impacts of cultivated land quality on crop production capacity in arid regions[J],2022,214.
APA Zhuang, Qingwei.,Wu, Shixin.,Huang, Xiao.,Kong, Lu.,Yan, Yuyan.,...&Cai, Peng.(2022).Monitoring the impacts of cultivated land quality on crop production capacity in arid regions.CATENA,214.
MLA Zhuang, Qingwei,et al."Monitoring the impacts of cultivated land quality on crop production capacity in arid regions".CATENA 214(2022).
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