The absence or presence of particular plant species indicates specific level of pollutions. It was hypothesized that the marble waste polluted ecosystem also host specific plant indicators that can grow, survive and tolerate more successfully than others and can be utilized in better managements of such systems. The current research work was therefore, conducted to determine the indicators of marble polluted region of Buner, Pakistan. Ecological techniques using varying sized quadrats i.e., 1 x 1 m², 5 x 2 m² and 10 x 2 m² for herbs, shrubs and tree species were used respectively. Standard protocols were used to prepare soil samples and plant parts (root, leaf and shoot) for Atomic Absorption Spectrophotometry. Indicator i.e., Populus alba L., Arundo donax L., Erigeron canadensis L and Morus alba L. were identified via ISA in various polluted zones. All the collected data were put in MS Excel for analyses in PCORD through Cluster Analysis (CA), Two Way Cluster Analysis (TWCA) and Indicator Species Analysis (ISA). CANOCO software was used to examine the impact of miscellaneous environmental variables in zonation via both direct and indirect gradient techniques i.e., Detrended Correspondence Analysis (DCA) and Canonical Correspondence Analysis (CCA). A total of 102 plant species belonging to 95 genera and 48 families were recorded in the marble waste polluted ecosystem. CA and TWCA through Jaccard Distance measurements and Wards Linkage methods gave rise to 3 major polluted zones. These zones were i) Heavily Polluted Zone (HPZ), ii) Moderate Polluted Zone (MPZ) and iii) Less Polluted Zone (LPZ). The recorded values of Biological Concentration Factor (BCF), Translocation Factor (TF) and Bioaccumulation Coefficient (BAC) for analyzed heavy metals i.e. Fe, Mg, Ca, Na and Cu in root and shoot of P. alba L., A. donax L., and M. alba L. showed that these species were significant phytostabilizers and E. canadensis L. was phytoextracters and hence best indicandum of marble waste polluted ecosystems. It was concluded that among all the measured environmental variables, higher phosphorus level, higher pH, moderate potassium and lower Electrical Conductivity (EC) had significant effects (p<0.05) on the functions of these indicators as phytoremediaters. It is recommended to develop green belts of these indicators around the Marble industrial areas for the management better and hazardous free environment.

特定植物物种的不存在或存在表明特定的污染水平。据推测，大理石废物污染的生态系统还拥有特定的植物指标，这些指标可以比其他指标更成功地生长，存活和耐受，并且可以用于此类系统的更好管理。因此，目前正在进行的研究工作是确定巴基斯坦布内尔大理石污染地区的指标。使用不同大小的样方生态技术，即，1×1米² 5×2米，²和10×2米²分别为草本植物，灌木和树物种中使用。使用标准规程准备用于原子吸收分光光度法的土壤样品和植物部位（根，叶和枝）。指标，即白杨L.，Arundo donax L.，Erigeron canadensis L和Morus alba通过ISA在各种污染区中鉴定出L.。所有收集的数据都放在MS Excel中，通过聚类分析（CA），双向聚类分析（TWCA）和指示剂种类分析（ISA）在PCORD中进行分析。CANOCO软件用于通过直接和间接梯度技术（即趋势趋势对应分析（DCA）和规范对应分析（CCA））来检查其他环境变量对分区的影响。在大理石废料污染的生态系统中，总共记录了102种植物，属于95属48个科。通过Jaccard距离测量和Wards Linkage方法进行的CA和TWCA导致3个主要污染区。这些区域是：i）重度污染区（HPZ），ii）中度污染区（MPZ）和iii）轻度污染区（LPZ）。银白杨属，A.竹属，和白兰L.表明，这些物种是显著phytostabilizers和E.加拿大一枝黄花属是phytoextracters和大理石废料污染的生态系统，因此最好indicandum。结论是，在所有测得的环境变量中，较高的磷含量，较高的pH值，适度的钾含量和较低的电导率（EC）对这些指标作为植物修复剂的功能具有显着影响（p < 0.05）。建议在大理石工业区周围开发这些指标的绿化带，以实现更好的管理和无危险的环境。