Research on the urban forest landscape pattern and carbon storage characteristics in Urumqi using remote sensing technology

doi:10.6048/j.issn.1001-4330.2024.11.023

Abstract

Abstract:

【Objective】 The aim of this study is to examine the landscape patterns of various forest types in Urumqi, analyze the fundamental ecological features of urban forests, and investigate the spatial distribution characteristics of carbon storage and carbon density in these forests.【Methods】 This article focused on the arbors of urban forests as the research subject, utilized remote sensing technology combined with field survey data, employed biomass conversion methods to calculate carbon stocks, and utilized ArcGIS software and Fragstates 4.2 software to calculate landscape pattern indices.【Results】 The results showed that the chest diameter range of Urumqi urban forest trees was mainly distributed between 4 cm and 14 cm, while tree height was predominantly distributed in the intervals of 3-5 m and 6-8 m.In Urumqi, the urban forest stored a total of 348.57×10³ t of carbon, with scenic recreation forests having the largest carbon storage size, followed by road forests, ecological public welfare forests, affiliated forests, and production and operation forests.The carbon density was the highest in production and operation forests, followed by affiliated forests, scenic recreation forests, road forests, and ecological public welfare forests.The carbon density exhibited a pattern of decrease followed by increase from the center to the north, and a decrease towards the south.Carbon storage was found to be greater in the southern region than in the northern region.【Conclusion】 The urban forest landscape of Urumqi is predominantly shaped by the process of urbanization.The dominant forest structure in Urumqi consists of young and middle-aged forests, indicating significant ecological development potential.The spatial distribution of carbon density is directly linked to the arid oasis environment and unique topography.

Key words: urban forest types; landscape pattern characteristics; carbon stock; carbon density

摘要：

【目的】研究乌鲁木齐市城市不同森林类型的景观格局特征,分析乌鲁木齐市城市森林的基本生态学特征,探究乌鲁木齐市森林碳储量与碳密度的空间分布特征。【方法】以城市森林乔木为研究对象,基于遥感技术结合野外实地调查样地数据,通过生物量转换法计算碳储量,通过ArcGIS软件与Fragstates 4.2软件计算景观格局指数。【结果】乌鲁木齐市城市森林乔木的胸径范围主要集中分布在4~14 cm,树高大小主要分布于3~5 m与6~8 m。乌鲁木齐市城市森林整体碳储量为348.57×10³ t,不同城市森林类型碳储量之间大小关系为风景游憩林>道路林>生态公益林>附属林>生产经营林。碳密度的大小关系为生产经营林>附属林>风景游憩林>道路林>生态公益林。乌鲁木齐市碳密度整体以中心点向北呈现先降低再升高的趋势,向南呈现降低的趋势。【结论】乌鲁木齐市城市森林景观格局主要受到城市化进程的影响。乌鲁木齐市城市森林结构以中幼龄林占主导地位,仍然具备相当大的生态发展潜力。碳密度在空间分布与干旱绿洲环境以及特殊地形有直接关系。

关键词: 城市森林类型, 景观格局特征, 碳储量, 碳密度

CLC Number:

YANG Gongxin, Aliya Baidurela, ZHANG Wenya, CHENG Sisi, SUN Qian, LI Liu. Research on the urban forest landscape pattern and carbon storage characteristics in Urumqi using remote sensing technology[J]. Xinjiang Agricultural Sciences, 2024, 61(11): 2815-2824.

杨公新, 阿丽亚·拜都热拉, 张文雅, 程思思, 孙倩, 李柳. 基于遥感技术分析乌鲁木齐市城市森林景观格局及碳储量特征[J]. 新疆农业科学, 2024, 61(11): 2815-2824.

Figures/Tables 7

References 30

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树种名称 Name of tree species	生物量计算方程 Biomass calculation equation	平均胸径 Average diameter at breast height (cm)	平均树高 Average tree height (m)	所占总数百分比 Percentage of total (%)
新疆杨 Populus alba var.pyramidalis	Y=0.136 2(D²H)⁰^.^{779 6}	13.32	10.43	3.8
箭杆杨 Populus nigra var.thevestina	Y=0.136 2(D²H)⁰^.^{779 6}	15.32	17.61	2.8
雪岭云杉Picea schrenkiana	Y=0.738 6(D²H)⁰^.^{560 8}	8.21	8.43	0.1
白榆Ulmus pumila	Y=0.924 0+0.042 0(D²H)	11.58	7.07	45.4
欧洲白榆Ulmus laevis	Y=0.924 0+0.042 0(D²H)	14.36	8.14	2.7
裂叶榆Ulmus laciniata	Y=0.924 0+0.042 0(D²H)	13.19	7.73	2.8
青海云杉Picea crassifolia	Y=0.084 5(D²H)⁰^.^{849 2}	9.05	5.23	0.2
白柳Salix alba	Y=0.443 9D¹^.^{975 0}	40.16	12.70	0.12
白蜡Fraxinus chinensis	Y=0.028 8(D²H)¹^.^{004 1}	9.25	6.15	17.3
北美海棠Malus sieboldi	Y=0.178 0D¹^.^{101 0}+0.124 0D¹^.^{1234 0} +0.160 0D⁰^.^{656 0}	4.15	3.06	8.3
黄太平Malus robusta	Y=0.178 0D¹^.^{101 0}+ 0.124 0D¹^.^{123 40} +0.160 0D⁰^.^{656 0}	9.52	3.71	2.8
红皮云杉Picea koraiensis	lg(Y)=-0.954 5+0.847 2·lg(D²H)	22.02	17.58	0.5
胡杨Populus euphratica	Y=0.122 1(D²H)⁰^.^{781 3}	37.78	8.31	0.3
白桦Betula platyphylla	Y=0.064 3(D²H)⁰^.^{884 7}	12.17	5.07	2.1
山桃Armeniaca davidiana	Y=0.178 0D¹^.^{101 0}+ 0.124 0D¹^.^{123 40} +0.160 0D⁰^.^{656 0}	10.26	6.91	1.5
圆冠榆Ulmus densa	Y=0.924 0+0.042 0(D²H)	16.96	7.97	4.1

树种名称 Name of tree species	生物量计算方程 Biomass calculation equation	平均胸径 Average diameter at breast height (cm)	平均树高 Average tree height (m)	所占总数百分比 Percentage of total (%)
新疆杨 Populus alba var.pyramidalis	Y=0.136 2(D²H)⁰^.^{779 6}	13.32	10.43	3.8
箭杆杨 Populus nigra var.thevestina	Y=0.136 2(D²H)⁰^.^{779 6}	15.32	17.61	2.8
雪岭云杉Picea schrenkiana	Y=0.738 6(D²H)⁰^.^{560 8}	8.21	8.43	0.1
白榆Ulmus pumila	Y=0.924 0+0.042 0(D²H)	11.58	7.07	45.4
欧洲白榆Ulmus laevis	Y=0.924 0+0.042 0(D²H)	14.36	8.14	2.7
裂叶榆Ulmus laciniata	Y=0.924 0+0.042 0(D²H)	13.19	7.73	2.8
青海云杉Picea crassifolia	Y=0.084 5(D²H)⁰^.^{849 2}	9.05	5.23	0.2
白柳Salix alba	Y=0.443 9D¹^.^{975 0}	40.16	12.70	0.12
白蜡Fraxinus chinensis	Y=0.028 8(D²H)¹^.^{004 1}	9.25	6.15	17.3
北美海棠Malus sieboldi	Y=0.178 0D¹^.^{101 0}+0.124 0D¹^.^{1234 0} +0.160 0D⁰^.^{656 0}	4.15	3.06	8.3
黄太平Malus robusta	Y=0.178 0D¹^.^{101 0}+ 0.124 0D¹^.^{123 40} +0.160 0D⁰^.^{656 0}	9.52	3.71	2.8
红皮云杉Picea koraiensis	lg(Y)=-0.954 5+0.847 2·lg(D²H)	22.02	17.58	0.5
胡杨Populus euphratica	Y=0.122 1(D²H)⁰^.^{781 3}	37.78	8.31	0.3
白桦Betula platyphylla	Y=0.064 3(D²H)⁰^.^{884 7}	12.17	5.07	2.1
山桃Armeniaca davidiana	Y=0.178 0D¹^.^{101 0}+ 0.124 0D¹^.^{123 40} +0.160 0D⁰^.^{656 0}	10.26	6.91	1.5
圆冠榆Ulmus densa	Y=0.924 0+0.042 0(D²H)	16.96	7.97	4.1

	PLAND	LPI	AI	FRAC_MN	PARA_MN	PD	LSI	COHESION
道路林Road forest	22.522 4	1.774 7	79.120 3	1.113 2	687.867 6	2.997 4	40.426 3	93.596 3
附属林Auxiliary forest	10.104 4	1.138 4	81.748 5	1.115 4	448.993 8	0.957 5	23.980 4	94.198 1
风景游憩林 landscape recreation forest	36.995 6	7.298 7	92.655 1	1.115 2	308.667 2	0.624 5	18.796 7	98.066 7
生态公益林 Ecological public welfare forest	27.173 4	6.026 1	95.365 5	1.102 4	149.528 5	0.277 5	10.602 9	97.930 6
生产经营林 Production and operation forest	3.204 1	0.7	90.798 6	1.106 7	181.952 6	0.104 1	7.465 3	95.344 7

	PLAND	LPI	AI	FRAC_MN	PARA_MN	PD	LSI	COHESION
道路林Road forest	22.522 4	1.774 7	79.120 3	1.113 2	687.867 6	2.997 4	40.426 3	93.596 3
附属林Auxiliary forest	10.104 4	1.138 4	81.748 5	1.115 4	448.993 8	0.957 5	23.980 4	94.198 1
风景游憩林 landscape recreation forest	36.995 6	7.298 7	92.655 1	1.115 2	308.667 2	0.624 5	18.796 7	98.066 7
生态公益林 Ecological public welfare forest	27.173 4	6.026 1	95.365 5	1.102 4	149.528 5	0.277 5	10.602 9	97.930 6
生产经营林 Production and operation forest	3.204 1	0.7	90.798 6	1.106 7	181.952 6	0.104 1	7.465 3	95.344 7

区域 Areas	碳储量 Carbon reserves (kt)	面积 Area (ha)	碳密度 Carbon density (kg/m²)	样方数 Sample number	平均胸径 Average diameter at breast height (D/cm)	平均树高 Average tree height (H/m)	植株数 Number of plants	株数密度 Density of plant number (ha)
道路林Road forest	74.24	3 246.03	4.47	33	10.68±2.81	5.98±1.04	2 883	802.36
风景游憩林 Landscape recreation forest	142.92	5 331.96	5.25	57	15.22±4.68	9.39±2.36	2 969	578.75
附属林 Auxiliary forest	43.17	1 456.29	5.81	15	23.62±5.63	10.51±3.26	433	320.74
生产经营林 Production and operation forest	16.34	461.79	6.93	5	4.09±1.13	3.02±1.81	951	2 113.33
生态公益林 Ecological public welfare forest	71.90	3 916.35	3.60	39	8.69±2.12	6.12±1.03	3 335	950.14