耦合InVEST-PLUS模型的榆林市生境质量

冀泳帆; 贾鲁净; 杨联安; 李亚丽; 董强华

doi:10.13870/j.cnki.stbcxb.2023.01.018

您当前的位置：

首页 >

文章列表页 >

耦合InVEST-PLUS模型的榆林市生境质量

更新时间：2025-03-12

- 耦合InVEST-PLUS模型的榆林市生境质量
- Spatio-temporal Evolution and Prediction Analysis of Habitat Quality in Yulin City Coupled with InVEST-PLUS Model
- 水土保持学报 2023年37卷第1期页码：123-132
- 作者机构：
  
  1. 西北大学陕西省地表系统与环境承载力重点实验室,西安,710127
  2. 陕西省黄河研究院,西安,710127
  3. 西北大学城市与环境学院,西安,710127
- 作者简介：
  
  [ "冀泳帆(1999-),女,硕士研究生,主要从事地理信息系统在农业中的应用研究。E-mail:jiyongfan999@163.com" ]
- 基金信息：
  
  国家自然科学基金项目(41601290);陕西省农业科技攻关项目(2011K02-11)
- DOI：10.13870/j.cnki.stbcxb.2023.01.018
  中图分类号： X37;Q149
- 纸质出版：2023
- 稿件说明：
移动端阅览
冀泳帆, 贾鲁净, 杨联安, 等. 耦合InVEST-PLUS模型的榆林市生境质量[J]. 水土保持学报, 2023,37(1):123-132.

JI Yongfan, JIA Lujing, YANG Lian'an, et al. Spatio-temporal Evolution and Prediction Analysis of Habitat Quality in Yulin City Coupled with InVEST-PLUS Model[J]. 2023, 37(1): 123-132.
冀泳帆, 贾鲁净, 杨联安, 等. 耦合InVEST-PLUS模型的榆林市生境质量[J]. 水土保持学报, 2023,37(1):123-132. DOI： 10.13870/j.cnki.stbcxb.2023.01.018.

JI Yongfan, JIA Lujing, YANG Lian'an, et al. Spatio-temporal Evolution and Prediction Analysis of Habitat Quality in Yulin City Coupled with InVEST-PLUS Model[J]. 2023, 37(1): 123-132. DOI： 10.13870/j.cnki.stbcxb.2023.01.018.

摘要

生境质量是衡量一个地区生态环境优劣的重要参考指标

土地利用变化研究可为区域生境质量时空动态演变特征评估提供科学依据。基于1980年、2000年、2018年土地利用数据

通过InVEST模型、PLUS模型、地理信息图谱法分析并预测榆林市土地利用变化情况

以此探究陕西省榆林市生境质量时空演变特征。结果表明:(1)榆林市景观基质主要由草地和耕地构成

林地和未利用地次之

水域和建设用地占比相对较少

退耕还林政策的实施、治沙工程的开展

以及建设用地的开发是土地利用变化的主要驱动因素。(2)从区域整体分析

1980年、2000年、2018年、2030年生境质量平均值分别为0.502 8

0.520 9

0.518 3

0.525 9

生境值总体变化不大

呈现先增后降再增的波动变化趋势。从空间格局分析

榆林市生境质量分布具有一定的规律性

整体呈现东高西低的格局。生境退化平均值分别为0.029 8

0.028 9

0.029 2

0.028 3

具有生境退化的威胁。研究结果对榆林市自然环境的保护和生境质量的提高具有理论支持和政策意义。

Abstract

Habitat quality is an important reference index to measure the quality of a region’s ecological environment

and research on land use change can provide a scientific basis for evaluating the spatio-temporal dynamic evolution characteristics of regional habitat quality. Based on the land use data in 1980

2000 and 2018

this paper analyzes and predicts the change of land use in Yulin City through the InVEST model

PLUS model

and geographic information map method

so as to explore the spatio-temporal evolution characteristics of habitat quality in Yulin City

Shaanxi Province. The conclusions are as follows: (1) The landscape matrix in Yulin City is mainly composed of grassland and cultivated land

followed by forest land and unused land

while water and construction land account for a relatively small proportion. The implementation of the policy of returning farmland to forest

the development of desertification control projects

and the development of construction land are the main driving factors of land use change. (2) From the overall analysis of the region

the average habitat quality in 1980

2000

2018 and 2030 is 0.502 8

0.520 9

0.518 3 and 0.525 9

respectively. The overall habitat value does not change much

showing a fluctuating trend of first increase

then decrease and then increase. From the analysis of the spatial pattern

the distribution of habitat quality in Yulin City has a certain regularity

and the overall pattern is high in the east and low in the west. The average value of habitat degradation in Yulin City is 0.029 8

0.028 9

0.029 2 and 0.028 3

respectively

indicating the threat of habitat degradation. The research results have theoretical support and policy significance for the protection of the natural environment and the improvement of habitat quality in Yulin City.

关键词

Keywords

references

杨志鹏,许嘉巍,冯兴华,等.基于InVEST模型的东北地区土地利用变化对生境的影响研究[J].生态科学,2018,37(6):139-147.

李广东.全球土地覆被时空变化与中国贡献[J].地理学报,2022,77(2):353-368.

乔治,蒋玉颖,贺曈,等.土地利用变化模拟研究进展[J].生态学报,2022,42(2):5165-5176.

Liang X, Guan Q F, Clarke K C, et al. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model:A case study in Wuhan,China[J].Computers,Environment and Urban Systems,2021,85(6):101569-101583.

Zhang S H, Zhong Q L, Cheng D L, et al. Landscape ecological risk projection based on the PLUS model under the localized shared socioeconomic pathways in the Fujian Delta region[J].Ecological Indicators,2022,136(9):108642-108655.

Zhang X R, Zhou J, Li G N, et al. Spatial pattern reconstruction of regional habitat quality based on the simulation of land use changes from 1975 to 2010[J].Journal of Geographical Sciences,2020,30(4):601-620.

Karimi J D, Corstanje R, Harris J A. Bundling ecosystem services at a high resolution in the UK:Trade-offs and synergies in urban landscapes[J].Landscape Ecology,2021,36(6):1817-1835.

Imran M, Din N. Geospatially mapping carbon stock for mountainous forest classes using InVEST model and Sentinel-2 data:A case of Bagrote valley in the Karakoram range[J].Arabian Journal of Geosciences,2021,14(9):756-768.

Deepakshi B, Areendran G, Mehebub S, et al. Assessment and prediction of carbon sequestration using Markov chain and InVEST model in Sariska Tiger Reserve,India[J].Journal of Cleaner Production,2021,27(8):123-140.

Gong J, Xie Y C, Cao E J, et al. Research on the change of mountain plant diversity based on the InVEST habitat quality model and landscape pattern index:Taking the Bailong River Basin in Gansu as an example[J].Journal of Geographical Sciences,2019,29(7):1193-1210.

李亚丽,杨粉莉,杨联安,等.近40年榆林市土地利用空间格局变化及影响因素分析[J].干旱区地理,2021,44(4):1011-1021.

党晶晶,孙斌,龚直文.榆林市土地利用变化的驱动因素研究[J].西安工业大学学报,2018,38(1):74-80.

黄木易,岳文泽,冯少茹,等.基于InVEST模型的皖西大别山区生境质量时空演化及景观格局分析[J].生态学报,2020,40(9):2895-2906.

王子尧,黄楚梨,李倞,等.耦合InVEST-HFI-PLUS模型的生态分区规划与动态评估:以博尔塔拉蒙古自治州为例[J].生态学报,2022,42(14):1-10.

李琛,高彬嫔,吴映梅,等.基于PLUS模型的山区城镇景观生态风险动态模拟[J].浙江农林大学学报,2022,39(1):84-94.

李胜鹏,柳建玲,林津,等.基于1980-2018年土地利用变化的福建省生境质量时空演变[J].应用生态学报,2020,31(12):4080-4090.

刘春芳,王川.基于土地利用变化的黄土丘陵区生境质量时空演变特征:以榆中县为例[J].生态学报,2018,38(20):7300-7311.

王燕,高吉喜,金宇,等.基于2005-2015年土地利用变化和InVEST模型的内蒙古巴林右旗农牧交错带生境质量研究[J].生态与农村环境学报,2020,36(5):654-662.

陈妍,乔飞,江磊.基于InVEST模型的土地利用格局变化对区域尺度生境质量的影响研究:以北京为例[J].北京大学学报(自然科学版),2016,52(3):553-562.

Jlanhua H, Junlong H, Chun L. The evaluation for the impact of land use change on habitat quality:A joint contribution of cellular automata scenario simulation and habitat quality assessment model[J].Ecological Modelling,2017,35(5):366-378.

杨存建.地学信息图谱思想与实践探索[J].地球信息科学学报,2020,22(4):697-704.

Ding Q L, Chen Y, Bu L T, et al. Multi-Scenario analysis of habitat quality in the Yellow River Delta by Coupling FLUS with InVEST Model[J].International Journal of Environmental Research and Public Health,2021,18(5):2389-2408.

Yang L Y, Sun Z H, Li J F, et al. Spatiotemporal patterns and driving forces of land-use and land-cover change in the Mu Us Sandy Land,China from 1980 to 2018[J].Arid Land Research and Management,2022,36(1):109-124.

包玉斌,刘康,李婷,等.基于InVEST模型的土地利用变化对生境的影响:以陕西省黄河湿地自然保护区为例[J].干旱区研究,2015,32(3):622-629.

Song Y N, Wang M, Sun X F, et al. Quantitative assessment of the habitat quality dynamics in Yellow River Basin,China[J].Environmental Monitoring and Assessment,2021,193(9):614-614.

浏览量

1147

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于PLUS-InVEST模型的三峡库区土地利用变化与土壤侵蚀多情景预测

基于InVEST模型的西柳沟流域生境质量现状

基于InVEST模型的乌江流域生境质量时空演变及其驱动因素分析

基于PLUS与InVEST模型的内蒙古自治区土地利用变化及碳储量评估

生境质量对气候变化与人类活动的空间响应——以青藏高原为例