Gillani Syed Waseem, Ahmad Mushtaq, Manzoor Muhammad, Waheed Muhammad, Tribsch Andreas, Shaheen Hamayun, Mehmood Abdul Basit, Fonge Beatrice Ambo, Al-Andal Abeer
Department of Plant Sciences, Quaid-I-Azim University, Islamabad, 45320, Pakistan.
Department of Environment & Biodiversity, University of Salzburg, Salzburg, Austria.
BMC Plant Biol. 2025 May 7;25(1):599. doi: 10.1186/s12870-025-06664-x.
Climate change is impacting forest tree species adversely and making the ecological system vulnerable. The Himalayan cedar (Cedrus deodara), a keystone species in Western Himalayan forests, plays an important ecological role but is under increasing threats from natural and anthropogenic pressures. The current study analyses the population structure, spatial distribution, environmental factors, and future conservation strategies for Himalayan cedar populations in the Kashmir Himalayas.
Field sampling was carried out between 2023 and 2024 in various districts of the Kashmir Himalayas. The quadrat method was used to record the vegetation data across an elevational gradient ranging from 1300 to 2700 m. GIS and spatial analysis were used to map population distribution while, cluster analysis was performed to identify species associations. Canonical Correspondence Analysis (CCA) was applied to identify the influence of environmental factors while, Non-Metric Multidimensional Scaling (NMDS) and SIMPER analysis were used to investigate inter-association dissimilarity.
The populations showed an average stem density of 110.73 trees/ha and low regeneration rates, with just 15 seedlings per ha on average. Stump density (mean: 90.62 stumps/ha) demonstrated human-induced pressures. GIS and spatial analysis revealed that Cedar populations were mostly found at altitudes ranging from 1900 to 2200 m, with a preference for north-facing slopes. Cluster analysis identified four distinct species associations in which each with a different species richness and ecological composition. Association 3 was the most diverse (Shannon index: 3.31 ± 0.05), while Association 4 showed the highest dominance (0.062 ± 0.002). Canonical Correspondence Analysis (CCA) identified altitude and timber extraction as the key drivers of variation, accounting for 16.2% and 15.2% of the distribution variance, respectively. Grazing, erosion, and fire accelerated the degradation of habitat. Cedar density was influenced by various edaphic parameters, with total nitrogen (R = 0.11) and soil moisture (R = 0.09) demonstrating the strongest association. Soil pH, electrical conductivity, and total phosphorus exhibited minimal or negligible effects. Associations 1 and 2 were associated with increased soil pH and electrical conductivity, but Associations 3 and 4 were influenced more by nutrient-rich and moisture-retentive soils. Non-Metric Multidimensional Scaling (NMDS) and SIMPER analysis identified a 56.99% dissimilarity between associations, mostly driven by species such as Parrotiopsis jacquemontiana and Viburnum grandiflorum.
The study reveals that Himalayan cedar populations in the Kashmir Himalayas face low regeneration rates and significant anthropogenic pressure. Their distribution is influenced by various factors, including altitude, timber extraction, soil nitrogen, moisture, grazing, erosion, and fire. These findings highlight the necessity for targeted conservation strategies. Future conservation strategies should encompass controlled grazing, regulated timber extraction, soil conservation measures, anti-logging policies, ecotourism initiatives, and collaboration among local communities and policymakers.
气候变化正对森林树种产生不利影响,使生态系统变得脆弱。喜马拉雅雪松(Cedrus deodara)是西喜马拉雅森林中的关键物种,发挥着重要的生态作用,但正受到来自自然和人为压力的日益威胁。本研究分析了克什米尔喜马拉雅地区喜马拉雅雪松种群的种群结构、空间分布、环境因素及未来保护策略。
于2023年至2024年期间在克什米尔喜马拉雅地区的各个县进行了实地采样。采用样方法记录了海拔1300至2700米梯度范围内的植被数据。利用地理信息系统(GIS)和空间分析绘制种群分布图,同时进行聚类分析以识别物种关联。应用典范对应分析(CCA)确定环境因素的影响,而非度量多维尺度分析(NMDS)和相似性百分比分析(SIMPER)则用于研究种间关联差异。
这些种群的平均茎密度为110.73株/公顷,再生率较低,平均每公顷仅有15株幼苗。伐桩密度(平均:90.62个伐桩/公顷)表明存在人为压力。GIS和空间分析显示,雪松种群大多分布在海拔1900至2200米之间,偏好朝北的山坡。聚类分析确定了四个不同的物种关联,每个关联具有不同的物种丰富度和生态组成。关联3最为多样(香农指数:3.31±0.05),而关联4显示出最高的优势度(0.062±0.002)。典范对应分析(CCA)确定海拔和木材采伐是变异的关键驱动因素,分别占分布变异的16.2%和15.2%。放牧、侵蚀和火灾加速了栖息地的退化。雪松密度受各种土壤参数影响,其中全氮(R = 0.11)和土壤湿度(R = 0.09)的关联最强。土壤pH值、电导率和总磷的影响极小或可忽略不计。关联1和2与土壤pH值和电导率升高有关,但关联3和4更多地受到养分丰富和保水土壤的影响。非度量多维尺度分析(NMDS)和相似性百分比分析(SIMPER)确定各关联之间存在56.99%的差异,主要由诸如小叶拟单性木兰(Parrotiopsis jacquemontiana)和大花荚蒾(Viburnum grandiflorum)等物种驱动。
该研究表明,克什米尔喜马拉雅地区的喜马拉雅雪松种群面临再生率低和重大人为压力。其分布受多种因素影响,包括海拔、木材采伐、土壤氮、湿度、放牧、侵蚀和火灾。这些发现凸显了制定针对性保护策略的必要性。未来的保护策略应包括控制放牧、规范木材采伐、土壤保护措施、反伐木政策、生态旅游倡议以及当地社区与政策制定者之间的合作。