利用森林调查数据、土壤质地数据、地理属性数据和气候数据,采用最大熵生态位模型(MaxEnt)模拟了青海省青海云杉、川西云杉、祁连圆柏、青杨、金露梅和沙棘这6种青海主要的造林树种的适宜分布范围,并结合当前林业相关政策提取出青海适宜造林的区域。模拟结果中,6个树种的最大熵拟合结果精度都较好(AUC=0.86~0.99)。经分析发现,假设以上6树种在现有农田(坡度>25°)和荒地中造林,则青海省可造林的区域面积为549.25hm2,占全省面积的0.01‰,占已有林地面积的0.49‰,主要分布在德令哈、都兰、共和、贵南、囊谦、班玛以及海东市和西宁市的部分地区。
崔雪晴
,
马红萍
,
黄桂林
,
侯盟
,
徐明
,
郑国强
,
崔北祥
,
卓凌
,
廖成章
. 青海省6个主要树种适宜造林地研究[J]. 林草资源研究, 2016
, 0(4)
: 74
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DOI: 10.13466/j.cnki.lyzygl.2016.04.014
Our research modeled the ecological niche of Picea crassifolia,Picea likiangensis,Sabina przewalskii,Populus cathayana,Pentaphylloides fruticose and Hippophae rhamnoides in Qinghai Province using MaxEnt by climate data,soil data,DEM and forest inventory data,and then determined the appropriate afforestation area according to forestry policy.All 6 species showed high accuracy during modeling(AUC=0.86~0.99).The results showed that the whole appropriate afforestation area of Qinghai reached 549.25hm2 if we plant these 6 species in cropland (slope>25°) and bareland,which covered 0.01‰ of the province and is equivalent to 0.49‰ of the existing forest land and shrub land.The research also revealed that the appropriate afforestation is mainly distributed in Delingha,Dulan,Guinan,Gonghe,Nangqian,Banma and parts of Haidong and Xining.
[1] Li R,Xu M,Wong M H G,et al.Climate change induced decline in bamboo habitats and species diversity:implications for giant panda conservation[J].Diversity & Distributions,2014,21(4):379-391.
[2] Wong M H G,Li R,Xu M,et al.An integrative approach to assessing the potential impacts of climate change on the Yunnan snub-nosed monkey[J].Biological Conservation,2013,158(2):401-409.
[3] Frick A,Tanneberger F,Bellebaum J.Model-based selection of areas for the restoration of acrocephalus paludicola habitats in NE Germany[J].Environmental Management,2014,53(4):728-738.
[4] Elith J,Graham H C,Anderson P R,et al.Novel methods improve prediction of species distributions from occurrence data[J].Ecography,2006,29:129-151.
[5] Phillips S,Anderson R I,Schapille R.E.Maximum Entropy modeling of species geographic distribution.Ecological Modelling[J],2006,190(3):231-259.
[6] Phillips S,Miroslav D.Modeling of species distributions with Maxent:new extensions and a comprehensive evaluation[J].Ecography,2008,31:161-175.
[7] 王运生,谢丙炎,万方浩,等.ROC曲线分析在评价入侵物种分布模型中的应用[J].生物多样性,2007,15(4):365-372.
[8] 李根前,唐德瑞,赵一庆.沙棘的生物学与生态学特性[J].西北植物学报,2000,20(5):892-897.