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白洋淀大清河流域油松精准适宜性空间分布
引用本文:郭虹扬,史明昌,杨建英,陈春阳.白洋淀大清河流域油松精准适宜性空间分布[J].浙江农林大学学报,2021,38(6):1100-1108.
作者姓名:郭虹扬  史明昌  杨建英  陈春阳
作者单位:1.北京林业大学 水土保持学院,北京 1000832.北京林业大学 教育部水土保持与荒漠化防治重点实验室,北京 100083
基金项目:国家水体污染控制与治理科技重大专项(2018ZX07110001)
摘    要:  目的  油松Pinus tabulaeformis作为白洋淀大清河流域上游山区主要造林树种,研究其精准适宜性空间分布对流域内水源涵养林的建设与提升具有生产指导作用。  方法  依据植物生态学、植物地理学原理,采用空间限制性因子叠加及最大熵模型(MaxEnt),以白洋淀大清河流域油松为研究对象,基于野外190个样方数据,结合24个地理环境变量(高程、坡度、坡向、气象、岩石类型、土壤类型等),其中气象因子通过多元线性回归克里金插值方法(multiple linear regression Kriging, MLRK)得到,对白洋淀大清河流域油松的适宜性空间分布进行了研究。  结果  油松适宜性预测模型效果达到准确水平(受试者工作曲线ROC值为0.869),积温、年均最大日降水量、高程、年均气温标准差为流域油松适宜性主导地理环境变量,油松高适宜区主要分布在灵丘县、涞源县、涞水县、易县、房山区等。  结论  白洋淀大清河流域油松的适宜性条件为:积温2 800~3 800 ℃、海拔500~1 200 m、年均日最大降水量70~110 mm、年均气温标准差0.31~0.42 ℃,按照该适宜性条件进行油松林营造,可充分发挥其有益机能。图8表2参30

关 键 词:适宜性    多元线性回归克里金(MLRK)    空间叠加    最大熵模型    油松
收稿时间:2020-09-17

Precise spatial distribution of suitability of Pinus tabulaeformis in Daqing River Basin,Baiyangdian
GUO Hongyang,SHI Mingchang,YANG Jianying,CHEN Chunyang.Precise spatial distribution of suitability of Pinus tabulaeformis in Daqing River Basin,Baiyangdian[J].Journal of Zhejiang A&F University,2021,38(6):1100-1108.
Authors:GUO Hongyang  SHI Mingchang  YANG Jianying  CHEN Chunyang
Institution:1.College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China2.Key Laboratory of Soil and Water Conservation and Desertification Combating, Ministry of Education, Beijing Forestry University, Beijing 100083, China
Abstract:  Objective  This study, with an investigation of the precise spatial distribution of suitability of Pinus tabulaeformis, a main afforestation tree species in the upper reaches of Baiyangdian Daqing River Basin, is aimed to enhance its guiding role in the construction of water conservation forest and improve the forest water conservation capacity in the basin.   Method  Based on the principles of plant ecology and plant geography, with 190 sample siets data obtained from field survey, and the 24 geographical environment variables (elevation, slope, slope, meteorology, rock type, soil type, etc.) examined, an analysis was conducted of the meteorological factors using multiple linear regression Kriging interpolation (MLRK).   Result  The model of the suitability prediction of P. tabulaeformis reached a very accurate level (ROC=0.869). The accumulated temperature, the annual maximum daily precipitation, elevation and the standard deviation of annual temperature were the main geographical environment variables of the suitability of the P. tabulaeformis. The high suitable area of P. tabulaeformis enjoyed better spatial distribution of suitability in areas like Lingqiu County, Laiyuan County, Laishui County, Yi County, Fangshan District among other counties and districts.  Conclusion  The suitable conditions of P. tabulaeformis in Baiyangdian Daqing River Basin are as follows: the accumulated temperature staying at 2 800?3 800 ℃, the altitude remaining 500?1 200 m, the average annual maximum daily precipitation being 70?110 mm whereas the average annual standard deviation of temperature kept at 0.31?0.42 ℃. And it can be seen that with such conditions P. tabulaeformis forest can grow well and develop better. Ch, 8 fig. 2 tab. 30 ref.]
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