人类活动对生境质量的影响及空间关系定量分析

闫语; 秦耀伟; 平玉荣; 东嘉琪; 李双江; 曹建生; 肖捷颖

doi:10.12153/j.issn.1674-991X.20230710

人类活动对生境质量的影响及空间关系定量分析—以石家庄为例

doi: 10.12153/j.issn.1674-991X.20230710

1.
河北科技大学环境科学与工程学院
2.
中国科学院遗传与发育生物学研究所农业资源研究中心

基金项目: 河北省重点研发计划项目（21374001D）；科技部科技基础资源调查项目（2022FY100104）

详细信息

作者简介:
闫语（1999—），女，硕士研究生，主要从事生态环境评价研究，yy6430@126.com

通讯作者:
肖捷颖（1970—），女，教授，主要从事环境遥感、环境规划与评价研究，jyxiao2014@126.com

中图分类号: X24
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- 被引次数: 0
出版历程
- 收稿日期: 2023-10-07
- 录用日期: 2024-01-21
- 修回日期: 2024-01-21
- 网络出版日期: 2024-02-24

Quantitative analysis of the impact of human activities on habitat quality and their spatial relationship: Shijiazhuang as an example

1.
College of Environmental Sciences and Engineering, Hebei University of Science and Technology
2.
Agricultural Resources Research Center, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences

摘要

摘要:
定量分析并揭示人类活动对生境质量的影响及相关关系，可为区域生态环境的治理及修复提供科学依据。以石家庄为例，基于2010年、2015年、2021年遥感影像解译土地利用结果，利用InVEST模型评估石家庄生境质量的时空演变，结合土地利用、夜间灯光、人口密度数据构建人类活动强度指标，运用双变量空间自相关和多尺度地理加权回归模型分析人类活动与生境质量的空间相关性及其对生境质量的影响。结果表明：2010—2021年，研究区的人类活动强度变化较小，整体处于较低水平，总体为增长趋势，空间上呈西低东高分布；研究区的生境质量平均值处于中等级，呈V型波动，先减小后增加，且呈西部高、中部及东部低的分布特征；人类活动对生境质量的影响存在显著空间异质性，整体以负相关为主且影响程度减弱，在河流沿线及局部山区呈正相关。未来石家庄生态环境保护及修复措施需要考虑人类活动强度与生境质量间的空间相关性，将中东部地区作为重点，控制建设用地发展，保护基本农田，加强滹沱河沿线生态修复，以提高生境质量。
- 人类活动强度 /
- 生境质量 /
- 夜间灯光数据 /
- 多尺度地理加权回归模型 /
- InVEST模型
Abstract:
Quantitative analysis and revealing of the impact and the correlation of human activities on habitat quality can provide a scientific basis for the management and restoration of the regional eco-environment. Taking Shijiazhuang City as a case study, the temporal and spatial evolution of habitat quality was evaluated by InVEST model based on land use results from remote sensing images of 2010, 2015 and 2021. The spatial correlation between human activities and habitat quality and the impact of human activities on habitat quality were analyzed by bivariate spatial autocorrelation and multiscale geographically weighted regression (MGWR) models, and the human activity intensity index was constructed in combination with the land use, night light and population density data. The results showed that from 2010 to 2021, the human activity intensity in the study area was generally at a stable lower level, showing an increasing trend, with a spatial distribution of low in the western parts and high in the eastern parts. The average value of habitat quality was in the medium level, with a "V" type fluctuation, decreasing first and then increasing. In the spatial distribution, habitat quality level was high in the west and low in the central and eastern parts. There was a significant spatial heterogeneity in the impact of human activity on habitat quality, with a predominantly negative correlation and a decreasing impact, while a positive correlation appeared along rivers and in parts of mountain areas. It was suggested that the spatial correlation between human activity intensity and habitat quality should be considered for eco-environment protection and restoration measures in Shijiazhuang, focusing on the areas in the east-central parts. The measures included controlling the expansion of construction land, protecting basic farmland, and strengthening the ecological restoration along the Hutuo River to improve the habitat quality.
- human activity intensity /
- habitat quality /
- night light data /
- MGWR model /
- InVEST model

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图 1 研究区行政区划示意

Figure 1. Schematic diagram of administrative divisions of the study area

下载: 全尺寸图片幻灯片

图 2 2010—2021年石家庄人类活动强度空间分布

Figure 2. Spatial distribution of human activity intensity in Shijiazhuang from 2010 to 2021

下载: 全尺寸图片幻灯片

图 3 2010—2021年石家庄生境质量空间分布

Figure 3. Spatial distribution of habitat quality of Shijiazhuang from 2010 to 2021

下载: 全尺寸图片幻灯片

图 4 2010—2021年石家庄1 km格网尺度人类活动强度与生境质量空间LISA聚类

Figure 4. Spatial LISA clustering of human activity intensity and habitat quality at 1 km grid scale in Shijiazhuang from 2010 to 2021

下载: 全尺寸图片幻灯片

图 5 2010—2021年石家庄1 km格网尺度HAI回归系数空间分布

Figure 5. Spatial distribution of regression coefficient of HAI at 1 km grid scale in Shijiazhuang from 2010 to 2021

下载: 全尺寸图片幻灯片

图 6 2010—2021年区域人类活动强度对生境质量影响的差异

Figure 6. Difference of impact of regional human activity intensity on habitat quality from 2010 to 2021

下载: 全尺寸图片幻灯片

图 7 2021年石家庄空间LISA聚类与遥感影像验证

Figure 7. Spatial LISA clustering and RS image validation of Shijiazhuang in 2021

下载: 全尺寸图片幻灯片

表 1 威胁因子参数

Table 1. Threat factor parameters

土地利用类型	最大影响距离/km	权重	空间衰退类型
耕地	1.50	0.60	线性
城镇用地	6.00	1.00	指数
未利用地	2.00	0.40	线性

下载: 导出CSV

表 2 各土地利用类型生境质量适宜度及其对威胁因子的相对敏感度

Table 2. Suitability degree of land use types to habitat quality and its sensitivity to threat factors

土地利用类型	生境适宜度	威胁因子相对敏感度
土地利用类型	生境适宜度	耕地	建设用地	未利用地
耕地	0.40	0.25	0.50	0.30
林地	1.00	0.80	1.00	0.70
草地	0.80	0.70	0.80	0.80
水域	0.70	0.65	0.75	0.75
建设用地	0.00	0.00	0.00	0.00
未利用地	0.10	0.10	0.30	0.10

下载: 导出CSV

表 3 2010—2021年石家庄不同人类活动强度等级面积占比

Table 3. Area proportion of different levels of human activity intensity in Shijiazhuang from 2010 to 2021 %　

年份	HAI等级
年份	低	较低	中	较高	高
2010	39.89	12.79	32.76	10.12	4.43
2015	44.67	19.95	23.68	8.45	3.25
2021	39.17	13.89	29.81	11.09	6.04

下载: 导出CSV

表 4 2010—2021年石家庄市不同生境质量等级面积占比

Table 4. Area proportion of different habitat quality grades in Shijiazhuang from 2010 to 2021 %　

年份	生境质量等级
年份	低	较低	中	较高	高
2010	23.58	38.43	2.98	19.64	15.36
2015	29.79	33.90	3.01	12.30	20.99
2021	28.66	33.64	3.20	11.81	22.69

下载: 导出CSV

表 5 MGWR模型拟合参数

Table 5. MGWR model fitting parameters

年份	RSS	AIC_c	R²	R_adj²
2010年	515.25	−1 850.10	0.96	0.95
2015年	578.38	−342.32	0.95	0.95
2021年	470.42	−2 955.99	0.96	0.96
注：RSS为残差平方和；AIC_c 为修正赤池信息准则；R²为拟合优度；R_adj²为调整后的R²。

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