机构地区:[1]浙江省仙居县林业技术推广总站,浙江仙居317300 [2]浙江省仙居县林业学会,浙江仙居317300 [3]浙江省林业技术推广总站,浙江杭州310020
出 处:《浙江林业科技》2025年第1期102-115,共14页Journal of Zhejiang Forestry Science and Technology
摘 要:本文基于2017年浙江省台州市的古树名木调查结果,将台州全市分别按经度0°10′、纬度0°10′或海拔100 m的梯度划分单位,研究该市古树名木β多样性的空间梯度格局。结果表明:(1)台州市的古树名木总体β多样性在沿纬度、经度或海拔梯度均主要由树种的空间轮转决定。(2)沿纬度、经度或海拔梯度,对基于多度的总体β多样性贡献最大的前8个树种均为云锦杜鹃Rhododendron fortunei、樟Cinnamomum camphora、马尾松Pinus massoniana、柳杉Cryptomeria japonica var.sinensis、甜槠Castanopsis eyrei、枫香树Liquidambar formosana、苦槠Castanopsis sclerophylla、柏木Cupressus funebris。(3)两相邻区位间的Sorensen指数值、Jaccard指数值、Bray-Curtis指数值和Morisita-Horn指数值随纬度的增加呈现出先增大后减小的趋势;无论是基于多度还是有无二元法,8号区位(位于29°10′0″~29°20′0″N)对总体β多样性贡献最大。两相邻区位间的Sorensen指数值、Jaccard指数值、Bray-Curtis指数值和Morisita-Horn指数值随经度的增加呈现先小后大的波浪曲线变化趋势,无论是基于多度还是有无二元法,5号区位(位于120°0′0″~121°10′0″E)对总体β多样性贡献最大。两相邻区位间的Sorensen指数值、Jaccard指数值、Bray-Curtis指数值和Morisita-Horn指数值随海拔的增加呈先大后小的波浪曲线变化的趋势,无论是基于多度还是有无二元法,1号区位(位于海拔1~100 m之间)对总体β多样性贡献最大。本研究结果表明,沿纬度、经度或海拔梯度,在全市分布较为普遍且集中的树种基于多度的总体β多样性贡献最大,株数只有几株或几十株但分布比较均匀的树种,基于有无二元法的总体β多样性贡献大;在选择β多样性指数时,不能仅考虑测度计算方法的简便易用,还需考虑每一物种的个体数量或相对多度等信息,以免稀疏种在区位中的作用被夸大,以致得出不合理的结论Based on the 2017 survey results of ancient and famous trees in Taizhou City,Zhejiang Province,this study divides the city into units according to 0°10′longitude intervals,0°10′latitude intervals,or 100 m elevation intervals,and investigates the spatial gradient patterns of beta diversity among ancient and famous trees in the city.The results showed that:(1)The overall β diversity of ancient and famous trees in Taizhou City is mainly determined by the spatial rotation of tree species along latitude,longitude,or altitude gradients.(2)The top eight species contributing most to overall beta diversity based on abundance were consistent across latitude,longitude,and elevation gradients:Rhododendron fortunei,Cinnamomum camphora,Pinus massoniana,Cryptomeria japonica,Castanopsis eyrei,Liquidambar formosana,Castanopsis sclerophylla,and Cupressus funebris.(3)The Sorensen,Jaccard,Bray-Curtis,and Morisita-Horn indices between adjacent regions initially increased and then decreased with increasing latitude.Regardless of abundance or presence-absence binary methods,Region 8(29°10′0″-29°20′0″N)contributed most to overall beta diversity.Along the longitudinal gradient,these indices exhibited a wave-like pattern of initial decrease followed by increase.Region 5(120°0′0″-121°10′0″E)showed the highest contribution to beta diversity.Along the elevational gradient,the indices displayed a wave-like trend of initial increase followed by decrease,with Region 1(1-100 m elevation)contributing most significantly.The findings indicate that species with wide and concentrated distributions contribute most to beta diversity when abundance-based metrics are used,while species with sparse but uniform distributions contribute more under presence-absence binary methods.When selecting beta diversity indices,it is essential to consider species abundance or relative dominance to avoid overestimating the role of rare species,which may lead to biased conclusions.
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