Monitoring and prediction of land cover dynamics in the Middle Volga using satellite data with QGIS MOLUSCE DOI Open Access

Oleg Vorobyev,

Э.А. Курбанов,

Jianjun Sha

и другие.

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, Год журнала: 2023, Номер 20(5), С. 176 - 193

Опубликована: Янв. 1, 2023

Оперативный дистанционный мониторинг и моделирование потенциальных изменений наземного покрова -важные мероприятия при принятии решений по устойчивому управлению территориями.В работе проведён прогнозный анализ пространственно-временной динамики семи классов (растительного) Среднего Поволжья до 2041 г. данным спутниковых изображений Landsat за 2001 2021 гг.и тематическим картам местности.Моделирование проводилось методом клеточных автоматов искусственной нейронной сети CA-ANN (англ.Cellular Automata -Artificial Neural Network) в плагине MOLUSСE (англ.Modules for Land-Use Change Simulation -модули для моделирования землепользовании) программы QGIS (англ.Quantum GIS) условии существующих прошедшие 20 лет тенденций земле-и лесопользовании, а также природных нарушений исследуемом регионе.Проведён интенсивности вероятности пространственно-временных переходов между исследуемыми классами моделируемый период времени.В результате создан набор картографических материалов программном обеспечении ArcGIS Pro матриц перехода наземном покрове Поволжья.Проведённый позволил определить будущие тренды г.Результаты показывают, что большинство исследуемых 2021-2041 гг.будут подвержены изменениям площади.В первую очередь это затронет субъекты Поволжья, имеющие высокую лесистость на своей территории, такие как Кировская Нижегородская области, Республика Марий Эл.Прогнозный свидетельствует о том, площадь лесного исследуемой территории может увеличиться сравнению с 23,8 %.Максимум демонстрирует класс «молодняки», динамика ежегодного прироста которого площади составить 1,6 % год.Часть хвойных насаждений площадью 0,31 млн га перейти смешанные, 0,357 -в лиственные насаждения.Полученные результаты могут быть использованы дальнейшего прогнозного мониторинга спутниковым изображениям учётом дополнительных факторов меняющемуся климату социально-экономической деятельности региональном локальном уровнях.

Язык: Русский

Ecological security pattern based on remote sensing ecological index and circuit theory in the Shanxi section of the Yellow River Basin DOI Creative Commons
Ben Wang,

Shaotong Fu,

Zixuan Hao

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112382 - 112382

Опубликована: Июль 19, 2024

Evaluating the quality and establishing an ecological network are beneficial for maintaining ecosystem health stability optimizing national spatial pattern. This study used morphological pattern analysis (MSPA) remote sensing index (RSEI) to identify sources (ESs) in Shanxi section of Yellow River Basin (SYRB). Comprehensive resistance surface is constructed corrected based on weight. The corridor was identified by Linkage Mapper tool, node barrier points were determined basis minimum cost path theory establish security (ESP) SYRB. 108 ESs identified, with a total area 34,157.42 km2. unevenness distribution obvious concentrated areas higher elevations environmental quality. We 243 corridors (ECs), totaling 3,259.44 km. main land use types ECs cultivated land, forest, grassland. Low-resistance mainly distributed central pearl-shaped basin, connecting two major source east west. high-resistance southern part which had highly fragmented at periphery. 41 pinch points, Mianshan Mountain, plays key role energy exchange between ESs. 26 overlapped ECs, obstructed landscape connectivity. A comprehensive "two zones, one belt, three corridors" ESP established, providing solid theoretical support practical guidance future sustainable development enhanced design

Язык: Английский

Процитировано

15

Impact of Land Use/Land Cover Change on Ecological Quality during Urbanization in the Lower Yellow River Basin: A Case Study of Jinan City DOI Creative Commons

Guangting Yu,

Tongwen Liu,

Qi Wang

и другие.

Remote Sensing, Год журнала: 2022, Номер 14(24), С. 6273 - 6273

Опубликована: Дек. 11, 2022

Rapid urbanization in the lower Yellow River basin has greatly contributed to socio-economic development of Northern China, but it also exacerbated land use/land cover change, with significant impacts on ecology. Ecological quality is a comprehensive spatial and temporal measure an ecosystem’s elements, structure function, reflecting ecological state under external pressures. However, how change affects during rarely been explored. In this study, Jinan, megacity basin, was taken as typical region, response 2000, 2010 2020 retrieved using remote sensing index. For mixed types, type-decomposition heterogeneity quantification method based abundance index proposed, impact mechanisms were revealed by coupling GeoDetector. The results show that: (1) Farmland built-up areas, dominant primary factors controlling pattern quality. (2) Urban expansion farmland protection policies resulted transfer woodland areas well grassland farmland, which intensified degradation (3) prompted main cause for improvement (4) Although urban implemented parallel, uneven changes 1.4 times expanded area poorer increasingly serious agglomeration effects. This study can provide scientific references conservation high-quality, sustainable cities basin.

Язык: Английский

Процитировано

25

Construction and evaluation of the Panjin wetland ecological network based on the minimum cumulative resistance model DOI

Yujia Lu,

Qian Cheng, Meiqing Wang

и другие.

Ecological Modelling, Год журнала: 2025, Номер 505, С. 111118 - 111118

Опубликована: Апрель 7, 2025

Язык: Английский

Процитировано

0

Temporal and Spatial Response of Ecological Environmental Quality to Land Use Transfer in Nanling Mountain Region, China Based on RSEI: A Case Study of Longnan City DOI Creative Commons
Qiulin Xiong,

Qingwen Hong,

Wenbo Chen

и другие.

Land, Год журнала: 2024, Номер 13(5), С. 675 - 675

Опубликована: Май 13, 2024

Nanling Mountain region is a typical southern hilly region, which plays an important ecological and environmental protection role in China’s overall land pattern. Based on the remote sensing image data of Longnan City 2013, 2018 2023, this paper interpreted use type analyzed transfer situation by using flow, matrix. At same time, based index (RSEI) model, quality from 2013 to 2023 was retrieved. The temporal spatial response model discussed autocorrelation geographical detector. results show that decrease forest (16.23 km2) increase construction (13.25 were main transfers City. environment indexes 0.789, 0.917 0.872, respectively, showing trend “first rising then decreasing”. north significantly lower than south, poor area appeared around northern urban area, “inward contraction”. Forest land, garden grassland, cultivated water have positive impact quality, while traffic other negative quality. different modes related change interaction between cover (LUCC) factors had great evolution

Язык: Английский

Процитировано

2

Ecological Security Pattern Construction in Rural Settlements Based on Importance and Vulnerability of Ecosystem Services: A Case Study of the Southeast Region of Chongqing, China DOI Open Access

Denghui Xu,

Xianhua Guo,

Teiji Watanabe

и другие.

Sustainability, Год журнала: 2023, Номер 15(9), С. 7477 - 7477

Опубликована: Май 2, 2023

With the development of urbanization, a large number village settlements have disappeared. As important carriers ethnic and cultural heritage, are for continuation folk culture farming spirit. Building regional ecological security pattern helps to protect integrity promote sustainable Chinese nation. In this work, importance ecosystem services was first obtained by using Integrated Valuation Ecosystem Services Tradeoffs model (In-VEST) revised universal soil loss equation (RUSLE) evaluate in southeastern region Chongqing (SRC). Then, evaluation results were combined with sensory derive conservation areas identify source points their high-value areas. Finally, corridors minimum cumulative resistance (MCR). The constructed, i.e., triangular protection area strategy “one screen, one belt, three cores”. show following: total sites larger than 20 km2 SRC is 436.02 km2, accounting 2.28% SRC. largest patch 69.93 16.04% sites. Thirteen identified as follows: four Youyang County, Shizhu Wulong Pengshui County. There 78 length 4832.82 km, including 32 about 1544.53 km 46 potential 3288.29 km. Based on constructed eight factors, spatial variation surface analyzed, showing trend being high west central part low surrounding area. County Nature Reserve sensitivity that overlap extreme, which should be given sufficient attention. core protected consist mountains Qiyao Mountain Range, Wuling Reserve. based mode “source–ecological corridor–ecological node” can function areas, providing scientific guidance China.

Язык: Английский

Процитировано

5

Landscape pattern optimization of small watershed based on water purification (Danjiangkou reservoir area, China) DOI Creative Commons
Bojun Ma, Kun Sun, Xiaoshuang Wang

и другие.

Environmental and Sustainability Indicators, Год журнала: 2024, Номер 22, С. 100366 - 100366

Опубликована: Фев. 28, 2024

In recent years, landscape pattern optimization has been regarded as a cutting-edge science in various fields, and basin hydrology is no exception. Its effect on water purification also focused on. Based the analysis of land use types patterns Danjiangkou Reservoir Basin, combined with determination quality indicators relationship between spatial Landscape Morphology was studied; It found that among basic characteristic many basins, main influencing factors high Variable importance for projection (VIP>1) are IJI (Interspersion Juxtaposition Index), COHE (Patch Cohesion AI (Aggregation PD Density), ED (Edge Density); Using PLSR (Partial Least Squares Regression) analysis, were discussed. there significant negative regression (Rc < 0) CODMn (permanganate index), TP (Total Phosphorus), TN Nitrogen) NH4+-N (ammonia nitrogen) basin, topographic humidity index, relief, slope, forest area; The patch connectivity index used to determine ecological source areas reservoir have improved need be protected; priority corridor construction protection determined; With help minimum cumulative resistance model, sources constructed; grips identified. order provide technical support configuration purpose area.

Язык: Английский

Процитировано

1

Monitoring and Analysis of the Driving Forces of Changes in the Ecological Environment of a Mining Area of Western China from 1986 to 2022 DOI Open Access
Lu Bai,

Yingming Yang,

Kai Zhang

и другие.

Processes, Год журнала: 2023, Номер 11(6), С. 1721 - 1721

Опубликована: Июнь 4, 2023

The remote sensing ecological index (RSEI) has been widely used in the rapid monitoring and evaluation of regional environment; however, research on main factors that cause changes RSEI impact human activities mining area is not often explored. To this end, paper selected Landsat (TM/OLI) series images from 1986 to 2022; extracted four important indicators normalized difference vegetation (NDVI), wetness component tasseled cap transformation (WET), built-up soil (NDBSI), land surface temperature (LST); calculated based principal analysis method; monitored evaluated environment Shendong Mining Area for a period 36 years; analyzed driving forces these changes. results show following: (1) status study shown an overall upward trend during 1986–2022 period. (2) From 2022, with grade 0.4–0.6 increased by 1142.74 km2, 0.6–0.8 124.09 0.8–1.0 0.73 km2. (3) In past years, proportion positive was 97.52%, regions negative 6.20%. (4) Rainfall factor causes environment. By analyzing change relationship between RSEI, reference can be provided formulation environmental protection policies planning areas.

Язык: Английский

Процитировано

3

Evolution of long-term ecological security pattern of island city and its influencing factors—a case study in Pingtan Island DOI Creative Commons

Binsheng Wu,

Kunli Dai,

Chunqing Liu

и другие.

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Июнь 13, 2024

Introduction: As the global urbanization process accelerates, contradiction between economic development demands and ecological protection becomes increasingly prominent. Methods: In this study, we simulated evolution of security pattern (ESP) Pingtan Island from 2000 to 2020 by extracting sources using Remote Sensing Ecological Index (RSEI), identifying corridors key nodes combining with Linkage Mapping (LM) Circuit Theory. addition, Geodetector was utilized identify these major determinants affecting RSEI. Results: The results showed 1) From 2020, environmental quality (EEQ) continued improve, mean value RSEI gradually increased 0.47 0.51. 2) Univariate analysis that elevation slope were most significant factors spatial variability RSEI, interaction proportion built-up area having a effect on EEQ. 3) number extent expanded year variability. At same time, range also underwent phase adjustment. 4) Further exploration ESP in identified 32 pinch points (EPPs) 52 barrier (EBPs), which mainly located within or near corridors, indicating areas for future restoration efforts. Discussion: These insights help enhance urban planning ecosystem provide blueprint comparable island environments.

Язык: Английский

Процитировано

0

Long Time-Series and High-Frequency Ecological Evaluation of Henan Section of the Yellow River DOI
Jianzhong Guo,

Daozhu Xu,

Jian Xu

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Comprehensive evaluation and future trend prediction of ecological security in Fuzhou City: a DIKW framework and multi-model integration analysis DOI

Shuhui Lai,

Xiaomei Li,

Jinming Sha

и другие.

Human and Ecological Risk Assessment An International Journal, Год журнала: 2024, Номер 30(9-10), С. 833 - 857

Опубликована: Ноя. 5, 2024

Understanding the ecological security situation of Fuzhou City holds significant theoretical and practical value for government departments in implementing development strategies achieving Sustainable Development Goal 11 (Sustainable Cities Communities). Using Data, Information, Knowledge, Wisdom (DIKW) framework, this study combined various remote sensing GIS methods to comprehensively analyze Fuzhou's past, present, future levels. The results showed a strong isotropic cluster city's security. Among influencing factors, degree regional was found have greatest impact, while water body coverage had least. factors are mutually reinforcing. Under natural scenario, area secure level 2020 decreased by 1243.70 km2, under protection it declined 1263.34 km2. In future, is expected face increasing fragmentation. Based on these findings, proposes balance economic City. These recommendations aim provide with relevant data support land resource management contribute high-level

Язык: Английский

Процитировано

0