Yusup Asadilla, Halik Ümüt, Abliz Abdulla, Aishan Tayierjiang, Keyimu Maierdang, Wei Jianxin
College of Ecology and Environment, Xinjiang University, Ürümqi, China.
Ministry of Education Key Laboratory of Oasis Ecology, Xinjiang University, Ürümqi, China.
Front Plant Sci. 2022 Jun 16;13:844819. doi: 10.3389/fpls.2022.844819. eCollection 2022.
Oliv. (Euphrates poplar), as the dominant tree species of desert riparian forests along the Central Asian inland rivers, plays a critical role in protecting arid land ecosystems. In recent decades, climate change and excessive water resources utilization activities have led to the environmental degradation of desert riparian forests along the Tarim River in northwest China. Understanding the forest stand structure and spatial distribution pattern provide important guidance for monitoring forest dynamics in support of sustainable management. However, few studies have examined how riparian forests stand attributes differ in response to environmental heterogeneity. In this study, terrestrial laser scanning (TLS) was applied to acquire a total of 1648 individual tree's 3D structure attributes within 18 plots along the upper, middle, and lower reaches of the Tarim River, which included tree height (TH), diameter at breast height (DBH), crown diameter (CD), crown projection area (CPA), stand density index (SDI), age structure ratios, and spatial pattern. The results showed that the average tree segmentation and structure determination accuracies of TLS were 93.2 and 94.6%. From the upper to the lower reaches, the average TH and CD decreased by 3.8 and 0.3 m, while the DBH increased by 4.2 cm. The SDI and CPA exhibited the following order: upper reaches (454 ha, 82.3%) > middle reaches (382 ha, 67.3%) > lower reaches (263 ha, 39.1%), the differences were significant at 0.05 level. The population age structure changed from growing population in the upper reaches to stable population in the middle and a temporarily stable population in the lower reaches. The pair correlation g() function determined random distribution pattern in the upper reaches [g() = 1.2], an aggregated pattern in the middle [g() = 3.1], and lower reaches [g() = 9.7]. The decline in groundwater depth and soil moisture increased aggregated distribution pattern ( = 0.67 and 0.56, < 0.05) of the along the mainstream of Tarim River. The results enrich our understanding of the current development stage of , which is important for optimizing management strategies and realizing the sustainability of floodplain ecosystems.
胡杨作为中亚内陆河流沿岸荒漠河岸林的优势树种,在保护干旱土地生态系统方面发挥着关键作用。近几十年来,气候变化和过度的水资源利用活动导致了中国西北塔里木河沿岸荒漠河岸林的环境退化。了解林分结构和空间分布格局为监测森林动态以支持可持续管理提供了重要指导。然而,很少有研究探讨河岸林的林分属性如何因环境异质性而不同。在本研究中,应用地面激光扫描(TLS)获取了塔里木河上游、中游和下游18个样地内总共1648株个体树木的三维结构属性,包括树高(TH)、胸径(DBH)、冠幅(CD)、树冠投影面积(CPA)、林分密度指数(SDI)、年龄结构比和空间格局。结果表明,TLS的平均树木分割和结构确定精度分别为93.2%和94.6%。从上游到下游,平均树高和冠幅分别下降了3.8米和0.3米,而胸径增加了4.2厘米。林分密度指数和树冠投影面积呈现以下顺序:上游(454公顷,82.3%)>中游(382公顷,67.3%)>下游(263公顷,39.1%),在0.05水平上差异显著。种群年龄结构从上游的增长型种群变为中游的稳定型种群和下游的暂时稳定型种群。配对相关g()函数确定上游为随机分布格局[g() = 1.2],中游为聚集分布格局[g() = 3.1],下游为聚集分布格局[g() = 9.7]。塔里木河干流沿线,地下水位深度和土壤湿度的下降增加了胡杨的聚集分布格局( = 0.67和0.56, < 0.05)。这些结果丰富了我们对胡杨当前发育阶段的理解,这对于优化管理策略和实现洪泛区生态系统的可持续性很重要。