Roy Rana, Wang Jinxin, Sarker Tanwne, Kader Abdul, Hasan Ahmed Khairul, Babur Emre
College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.
Department of Agroforestry and Environmental Science, Sylhet Agricultural University, Sylhet 3100, Bangladesh.
Data Brief. 2022 Apr 30;42:108222. doi: 10.1016/j.dib.2022.108222. eCollection 2022 Jun.
To improve our understanding of how coal mining areas can be re-vegetated and ecosystem function restored, we examined the potential effects of five water (W) regimes (40, 50, 60, 70 and 80% of field capacity), five nitrogen (N) (0, 24, 60, 96 and 120 mg kg soil) and five phosphorus (P) fertilizer doses (0, 36, 90, 144 and 180 mg kg soil), which control the growth and development of under adverse environmental conditions. To optimize the W-N-P application rate, three factors and five levels of central composite design along with an optimization technique named response surface methodology were utilized. Here we provide data on root-shoot biomass ratio, leaf dry matter content, stomatal conductance, chlorophyll (Chl) , Chl , membrane stability index and soluble protein content of . The data described in this article are available in Mendeley Data, DOI: 10.17632/2vfbrdxyf2.2[1]. These data could be used to evaluate the improvement in growth performance of subjected to various regimes of W, N and P. This dataset showed that grew optimally in coal-mine spoils when irrigated at 66% of field capacity and supplemented with 74.0 mg N and 36.0 mg P kg soil. This could considerably help the success of revegetation in coal-mined degraded arid areas where W is scarce. This article contains data complementary to the main research entitled "Fine-tuning of soil water and nutrient fertilizer levels for the ecological restoration of coal-mined spoils using " in the Journal of Environmental Management (Roy et al., 2020).
为了更好地理解煤矿区如何进行植被恢复和生态系统功能恢复,我们研究了五种水分(W)处理(田间持水量的40%、50%、60%、70%和80%)、五种氮(N)(0、24、60、96和120毫克/千克土壤)和五种磷(P)肥料用量(0、36、90、144和180毫克/千克土壤)的潜在影响,这些因素在不利环境条件下控制着[具体植物名称未给出]的生长和发育。为了优化W-N-P的施用量,采用了三因素五水平的中心复合设计以及一种名为响应面法的优化技术。在此,我们提供了[具体植物名称未给出]的根冠生物量比、叶片干物质含量、气孔导度、叶绿素(Chl)a、Chl b、膜稳定性指数和可溶性蛋白含量的数据。本文所述数据可在Mendeley Data上获取,DOI:10.17632/2vfbrdxyf2.2[1]。这些数据可用于评估在不同W、N和P处理下[具体植物名称未给出]生长性能的改善情况。该数据集表明,当灌溉量为田间持水量的66%并补充74.0毫克N和36.0毫克P/千克土壤时,[具体植物名称未给出]在煤矿废弃地中生长最佳。这对于水资源稀缺的煤矿开采退化干旱地区植被恢复的成功具有重要帮助。本文包含与发表在《环境管理杂志》上的主要研究“利用[具体植物名称未给出]对煤矿废弃地进行土壤水分和营养肥料水平的微调以实现生态恢复”(Roy等人,2020年)互补的数据。