基于遥感主要环境影响因子与春尺蠖羽化的相关性分析

doi:10.6048/j.issn.1001-4330.2024.04.020

新疆农业科学 ›› 2024, Vol. 61 ›› Issue (4): 954-963.DOI: 10.6048/j.issn.1001-4330.2024.04.020

• 植物保护·微生物·农业装备工程与机械化 • 上一篇下一篇

基于遥感主要环境影响因子与春尺蠖羽化的相关性分析

郭正宇(), 孙倩(), 胡馨月, 黄瑾依

新疆农业大学林学与风景园林学院,乌鲁木齐 830052

收稿日期:2023-07-11 出版日期:2024-04-20 发布日期:2024-05-31
通信作者: 孙倩(1986-),女,新疆沙湾人,副教授,博士,硕士生导师,研究方向为林业遥感技术,(E-mail)sq061@163.com
作者简介:郭正宇(1998-),男,山西太原人,硕士研究生,研究方向为林业遥感与荒漠化防治,(E-mail)1061050069@qq.com
基金资助:
:新疆维吾尔自治区自然科学基金项目“基于3S技术的主要环境因子对春尺蠖时空分布及其羽化的影响”(2020D01B34)

Correlation analysis of main environmental impact factors based on remote sensing and Apocheima cinerarius Erschoff emergence

GUO Zhengyu(), SUN Qian(), HU Xinyue, HUANG Jinyi

College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi 830052, China

Received:2023-07-11 Published:2024-04-20 Online:2024-05-31
Correspondence author: SUN Qian (1986-), female, from Shawan, Xinjiang, Aassociate professor, Ph.D., research direction: forestry remote sensing, (E-mail)sq061@163.com
Supported by:
Natural Foundation of Xinjiang Uygur Autonomous Region“The Influence of Main Environmental Factors Based on 3S Technology on the Spatial and Temporal Distribution and Eclosion of Apocheima Cinerarius”(2020D01B34)

摘要/Abstract

摘要：

【目的】研究地表温度、土壤含水量对春尺蠖羽化的影响,为提高虫害防治效率、降低防治成本提供理论依据。【方法】以新疆克拉玛依市开发区为例,选择有代表性的12块林地(P₀~P₁₁),利用实测春尺蠖羽化量数据、地表温度及土壤含水量卫星数据,采用趋势、相关性及回归方法,分析春尺蠖羽化量的时空分布特征及其变化趋势,研究地表温度、土壤含水量在时空维度对其羽化的影响。【结果】(1)点P₃、P₄、P₁₀、P₁₁所处林分春尺蠖虫害最严重,P₆所处林分虫害水平始终较低。(2)春尺蠖逐日羽化量与地表温度呈正相关,与土壤含水量呈负相关,且这种相关性主要集中在羽化高峰日前。(3)点P₅、P₇、P₈所处林分内土壤含水量与春尺蠖逐日羽化量的负相关性较大。(4)2021年羽化高峰日前,地表温度主要通过蒸发效应影响土壤含水量进而间接影响羽化进程,而2022年地表温度对羽化则主要表现为直接影响。【结论】地表温度、土壤含水量对春尺蠖羽化的影响是一种综合效应。在适宜春尺蠖羽化的土壤温湿度范围内,地表温度的上升或土壤含水量的下降会促进羽化,反之则抑制羽化,且这种影响主要集中在羽化高峰日前。点P₅、P₇、P₈所处林分内土壤含水量与春尺蠖逐日羽化量的负相关性较大,可在这些区域内开展人工灌溉从而抑制春尺蠖的发生。

关键词: 春尺蠖; 羽化; 遥感; 环境影响因子

Abstract:

【Objective】 To study the effects of surface temperature and soil water content on the emergence of Apocheima cinerarius Erschoff, and to provide theoretical basis for improving the efficiency of pest control and reducing the cost of pest control. 【Methods】 In this study, the development zone of Karamay,Xinjiang, was taken as an example, select 12 representative forest areas(P₀-P₁₁). Based on the measured data of the emergence of Apocheima cinerarius Erschoff, the satellite data of surface temperature and soil moisture content, the temporal and spatial distribution characteristics and trends of the emergence of Apocheima cinerarius Erschoff were analyzed by trend analysis, correlation and regression analysis, and the effects of surface temperature and soil moisture content on its emergence in the spatial and temporal dimensions were discussed. 【Results】 (1)The pest damage of Apocheima cinerarius Erschoff was the most serious in P₃, P₄, P₁₀ and P₁₁, and the pest damage level of P₆ was always low. (2)The daily emergence of Apocheima cinerarius Erschoff was positively correlated with surface temperature and negatively correlated with soil water content, and this correlation was mainly concentrated before the peak day of emergence. (3)The negative correlation between the soil water content and the daily emergence of Apocheima cinerarius Erschoff at P₅, P₇ and P₈ was larger.(4)Before the peak of emergence in 2021, the surface temperature mainly affected the soil moisture content through the evaporation effect and indirectly affected the emergence process, while the surface temperature in 2022 mainly affected the emergence directly. 【Conclusion】 The effects of surface temperature and soil water content on the emergence of Apocheima cinerarius Erschoff are a comprehensive effect.Within the range of soil temperature and humidity suitable for the emergence of Apocheima cinerarius Erschoff, the increase of surface temperature or the decrease of soil water content will promote the emergence, and vice versa, it will inhibit the emergence, and this effect is mainly concentrated before the peak day of emergence. In the spatial dimension, the soil water content in the stands of P₅, P₇ and P₈ has a great negative correlation with the daily emergence of Apocheima cinerarius Erschoff. Therefore, artificial irrigation can be carried out in these areas to inhibit the occurrence of Apocheima cinerarius Erschoff.

Key words: Apocheima cinerarius Erschoff; emergence; remote sensing; environmental impact factors

中图分类号:

S763

郭正宇, 孙倩, 胡馨月, 黄瑾依. 基于遥感主要环境影响因子与春尺蠖羽化的相关性分析[J]. 新疆农业科学, 2024, 61(4): 954-963.

GUO Zhengyu, SUN Qian, HU Xinyue, HUANG Jinyi. Correlation analysis of main environmental impact factors based on remote sensing and Apocheima cinerarius Erschoff emergence[J]. Xinjiang Agricultural Sciences, 2024, 61(4): 954-963.

图/表 8

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编号 Number	纬度 Latitude	经度 Longitude	海拔高度 Altitude (m)
P₀	45°29'23.677″N	84°57'31.775″E	265.7
P₁	45°29'04.871″N	84°57'04.359″E	270.6
P₂	45°28'31.136″N	84°56'03.698″E	270.9
P₃	45°27'52.396″N	84°54'59.708″E	282.1
P₄	45°26'50.943″N	84°53'20.656″E	270.5
P₅	45°26'20.926″N	84°52'31.890″E	272.3
P₆	45°25'11.995″N	84°50'42.600″E	269.8
P₇	45°23'51.086″N	84°52'27.672″E	267.9
P₈	45°24'46.507″N	84°53'56.956″E	268.7
P₉	45°25'59.900″N	84°55'48.645″E	268.7
P₁₀	45°27'31.857″N	84°58'20.894″E	268.5
P₁₁	45°25'09.826″N	84°58'27.850″E	267.7

编号 Number	纬度 Latitude	经度 Longitude	海拔高度 Altitude (m)
P₀	45°29'23.677″N	84°57'31.775″E	265.7
P₁	45°29'04.871″N	84°57'04.359″E	270.6
P₂	45°28'31.136″N	84°56'03.698″E	270.9
P₃	45°27'52.396″N	84°54'59.708″E	282.1
P₄	45°26'50.943″N	84°53'20.656″E	270.5
P₅	45°26'20.926″N	84°52'31.890″E	272.3
P₆	45°25'11.995″N	84°50'42.600″E	269.8
P₇	45°23'51.086″N	84°52'27.672″E	267.9
P₈	45°24'46.507″N	84°53'56.956″E	268.7
P₉	45°25'59.900″N	84°55'48.645″E	268.7
P₁₀	45°27'31.857″N	84°58'20.894″E	268.5
P₁₁	45°25'09.826″N	84°58'27.850″E	267.7

日期(月/日) Data (M/D)	每日研究区羽化量均值(只)及标准差 Daily mean value and standard deviation of emergence in the study area		每日采样点羽化量均值(只)及标准差 Mean and standard deviation of emergence at daily sampling points
日期(月/日) Data (M/D)	2021年	2022年	2021年	2022年
3/20	7.77±2.21	7.77±1.73	7.67±2.33	7.42±2.14
3/21	9.79±3.46	11.70±1.85	8.92±3.85	11.25±3.61
3/22	16.15±5.08	8.50±0.25	15.08±5.49	8.50±2.13
3/23	12.61±3.91	8.77±0.18	11.75±4.80	8.67±2.30
3/24	19.45±4.41	12.21±0.41	18.75±5.42	12.00±1.78
3/25	23.52±4.78	17.48±4.64	22.75±5.25	17.33±5.41
3/26	21.00±4.16	21.59±6.21	20.00±5.26	21.50±7.18
3/27	21.84±3.79	25.82±4.30	21.00±4.09	25.67±5.42
3/28	16.94±2.96	30.11±0.12	16.42±4.37	29.92±3.93
3/29	20.08±3.46	38.68±15.97	19.58±5.06	35.83±18.25
3/30	14.97±3.03	32.06±14.96	14.75±3.67	26.42±15.06
3/31	10.72±2.36	19.33±4.19	10.50±2.42	18.33±5.05
4/1	8.92±1.77	13.43±2.79	8.92±2.60	12.92±3.19
4/2	7.93±1.37	9.36±1.84	7.75±1.70	9.00±2.91
4/3	6.07±1.22	6.88±2.28	6.08±1.43	6.58±3.15
4/4	4.65±1.05	4.83±0.20	4.67±1.10	4.83±0.37
4/5	3.36±1.16	3.68±0.40	3.42±1.15	3.75±0.76
4/6	2.11±0.87	2.33±0.66	2.17±1.59	2.50±1.51

日期(月/日) Data (M/D)	每日研究区羽化量均值(只)及标准差 Daily mean value and standard deviation of emergence in the study area		每日采样点羽化量均值(只)及标准差 Mean and standard deviation of emergence at daily sampling points
日期(月/日) Data (M/D)	2021年	2022年	2021年	2022年
3/20	7.77±2.21	7.77±1.73	7.67±2.33	7.42±2.14
3/21	9.79±3.46	11.70±1.85	8.92±3.85	11.25±3.61
3/22	16.15±5.08	8.50±0.25	15.08±5.49	8.50±2.13
3/23	12.61±3.91	8.77±0.18	11.75±4.80	8.67±2.30
3/24	19.45±4.41	12.21±0.41	18.75±5.42	12.00±1.78
3/25	23.52±4.78	17.48±4.64	22.75±5.25	17.33±5.41
3/26	21.00±4.16	21.59±6.21	20.00±5.26	21.50±7.18
3/27	21.84±3.79	25.82±4.30	21.00±4.09	25.67±5.42
3/28	16.94±2.96	30.11±0.12	16.42±4.37	29.92±3.93
3/29	20.08±3.46	38.68±15.97	19.58±5.06	35.83±18.25
3/30	14.97±3.03	32.06±14.96	14.75±3.67	26.42±15.06
3/31	10.72±2.36	19.33±4.19	10.50±2.42	18.33±5.05
4/1	8.92±1.77	13.43±2.79	8.92±2.60	12.92±3.19
4/2	7.93±1.37	9.36±1.84	7.75±1.70	9.00±2.91
4/3	6.07±1.22	6.88±2.28	6.08±1.43	6.58±3.15
4/4	4.65±1.05	4.83±0.20	4.67±1.10	4.83±0.37
4/5	3.36±1.16	3.68±0.40	3.42±1.15	3.75±0.76
4/6	2.11±0.87	2.33±0.66	2.17±1.59	2.50±1.51

自变量 Indepe- ndent variable	与Y的简单相关系数 Simple correlation coefficient with Y	通径系数 (直接作用) Path coefficient (direct effect)	间接通径系数 (间接作用) Indirect path coefficient (indirect effect)
自变量 Indepe- ndent variable	与Y的简单相关系数 Simple correlation coefficient with Y	通径系数 (直接作用) Path coefficient (direct effect)	X₁	X₂
X₁	0.493	0.194		0.299
X₂	-0.571	-0.438	-0.133

基于遥感主要环境影响因子与春尺蠖羽化的相关性分析

Correlation analysis of main environmental impact factors based on remote sensing and Apocheima cinerarius Erschoff emergence

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