Hobi Bahçesi Uygunluk Analizinin Ahp Yöntemi ile Belirlenmesi Karadeniz Teknik Üniversitesi Yerleşke’si Örneği DOI Open Access
Hilâl Turgut, Kübra Haznedar, Taha Yasin Hatay

et al.

Akademik Ziraat Dergisi, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Amaç: Mekansal planlamalarda en uygun yer kriterlerinin belirlenmesi için pek çok çalışmalar yapılmıştır. Ancak hobi bahçeleri yapılan incelendiğinde farklı parametrelerin dikkate alındığı görülmüştür. Bu çalışmanın amacı, çalışmalarında alınarak kriterleri bir standart oluşturulmasıdır. amaçla, Analitik Hiyerarşi Süreci (AHP) yöntemi kullanılarak kriterlerin önem dereceleri belirlenmiş ve Karadeniz Teknik Üniversitesi Yerleşke’si içinde bu kriterlere göre alanlar tespit edilmiştir. Hobi bahçeleri, artan kent nüfusunun bireylerin doğayla iç içe vakit geçirmelerini, streslerini azaltmalarını fiziksel aktivitelerde bulunmalarını sağlar. Ayrıca, kentler yeşil oluşturarak bozulan ekosistem dengesini yeniden sağlamaya katkıda bulunur. bağlamda, ilk aşamasında ideal seçiminde kullanılacak kriterler tanımlanmış, ikinci ise belirlenmiştir. Materyal Yöntem: Araştırmada yöntemi, arazi gözlemleri Coğrafi Bilgi Sistemleri yardımıyla belirlenen doğrultusunda analizleri AHP, karmaşık karar verme problemlerini hiyerarşik yapıya indirgemeyi karşılaştırmalı değerlendirmeler yapmayı Çalışmanın adımları şu şekildedir: 1. Kriterlerin Belirlenmesi: bahçesi uygunluk analizinde 2. Ağırlıklandırılması: Uzman görüşleri literatür taramaları dereceleri, AHP ağırlıklandırılmıştır. 3. Alan Analizi: içerisindeki sonucu potansiyel alanı olabilecek 4 lokasyon belirlenmiş. CBS yardımı ile kriter ağırlıkları örneğinde analizler Sonuçların Değerlendirilmesi: Elde edilen veriler ışığında alan Araştırma Bulguları: sonucunda elde parametreler şekildedir. Toprak tekstürü 0,1741, toprak derinliği 0,1574, bakı 0,1529, konum, 0,1042, eğim, 0,0974, manzara, 0,0905, mevcut bitki varlığı, 0,0781, araç yoluna yakınlık, 0,0643 büyüklüğü, 0,0599 olarak sıralanmıştır. sonuçlara alanlarından I’in olabilmesi özelliğine sahip olduğu Sonuç: Çalışma, analizlerinin, çevresel sosyal ihtiyaçları karşılayan alanların belirlenmesinde etkili olduğunu ortaya koymaktadır. Yerleşke’sinde alanları, üniversite topluluğunun sağlığı refahı önemli adım teşkil etmektedir. çalışma, diğer kampüsleri şehir planlaması projeleri de örnek edebilir.

The dominant role of human activity intensity in spatial pattern of ecosystem health in the Poyang Lake ecological economic zone DOI Creative Commons

Qing Lu,

Fan Huanhuan,

Zhang Fuqing

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112347 - 112347

Published: July 8, 2024

Language: Английский

Citations

9

Ecosystem health assessment of the largest lake wetland in the Yellow River basin using an improved vigor-organization-resilience-services model DOI Creative Commons
Y. Li, Le Qin,

Yahui Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112539 - 112539

Published: Aug. 27, 2024

Language: Английский

Citations

9

Optimization of Land Use Patterns in a Typical Coal Resource-Based City Based on the Ecosystem Service Relationships of ‘Food–Carbon–Recreation’ DOI Creative Commons
Wei-Ling Hsu, Zhicheng Zhuang, Cheng Li

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 661 - 661

Published: March 20, 2025

Imbalanced supplies and demands of ecosystem services (ESSD) can negatively affect human well-being. Optimizing land use patterns in cities regions is, fact, essential to mitigate this challenge ensure sustainable development. In context, the present study aims analyze supply demand food production (FPs), carbon sequestration (CSs), recreation (RSs) a typical coal resource-based city (Huainan) China. addition, main influencing factors their driving mechanisms were further explored using geographical detector (Geo-Detector) multi-scale geographic weighted regression (MGWR) models. Future changes also predicted under traditional constrained development scenarios GeoSOS-FLUS model. The obtained results indicated that: (1) comprehensive service (ES) index decreased from 1.42 0.84, while increased 0.74 0.95 during 2010–2020 period; (2) urban rural areas had spatial disparities; (3) construction, ecological, cultivated strongly impacted ES; (4) implementing effectively protect ecological land, control expansion, improve ESSD relationships Huainan City. This provides valuable theoretical foundation methodological framework for future optimization efforts, as well enhancing sustainability mitigating imbalance between services.

Language: Английский

Citations

1

Study on driving factors of island ecosystem health and multi-scenario ecology simulation using ecological conservation and eco-friendly tourism for achieving sustainability DOI

Peijia Wang,

Jinhe Zhang, Dong Xu

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123480 - 123480

Published: Nov. 30, 2024

Language: Английский

Citations

4

Optimization of Land Use Structure Integrating Ecosystem Service Function and Economic Development—A Case Study in Dongting Lake Ecological and Economic Zone, China DOI Creative Commons
Yifan Zhu, Min Zhou

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100604 - 100604

Published: Jan. 1, 2025

Language: Английский

Citations

0

Temporal–Spatial Evolution and Driving Mechanism for an Ecosystem Health Service Based on the GD-MGWR-XGBOOT-SEM Model: A Case Study in Guangxi Region DOI Open Access

Zhenfeng Wei,

Dong Chen,

Qunying Huang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3305 - 3305

Published: April 8, 2025

With the expansion of urbanization in China, ecological environments are becoming more and prominent. Uncovering driving factors ways regulating ecosystem health has become a hot topic for regional sustainable development. This paper adopted improved vigor–organization–resilience service (VORS) model to diagnose status Guangxi from 2000 2020 verify main affecting health. Considering influencing (including vegetation, terrain, climate human activities), mechanism associated with was analyzed by using geographic detector (GD), multiscale geographically weighted regression (MGWR), XGBOOTS-SHAP model. The results show that spatial distribution is characterized low values central region high northern eastern regions higher elevations 2020. agglomeration evolution changes dispersion, consistent. interaction vegetation enhanced significantly, while relatively weak. And most impacts activities on environment negative. factor dominant positive effect health, activity elements have weak negative Meanwhile, complex changeable, their leading corresponding other factors. study provides scientific reference harmonious development humans nature southern China.

Language: Английский

Citations

0

Progressive Framework for Analyzing Driving Mechanisms of Ecosystem Services in Resource-Exhausted Cities: A Case Study of Fushun, China DOI Creative Commons
Yuyan Pan, Yanpeng Gao, Hua Qian

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 913 - 913

Published: April 22, 2025

The rapid pace of urbanization has led to excessive resource consumption and worsening environmental pollution, particularly in resource-based cities, where prolonged exploitation mineral resources resulted dual challenges ecological degradation economic imbalance. Using Fushun, a resource-exhausted city still struggling with its transformation, as case study, this research develops progressive analytical framework that integrates the InVEST model, optimal parameter geographic detector, multi-scale geographically weighted regression. This framework, comprising sequence steps—single-factor analysis, interaction-factor global regression analysis—enables comprehensive exploration driving mechanisms behind ES changes Fushun from 2000 2020. results indicate following: (1) Significant ecosystem services were observed, water yield soil conservation showing fluctuating upward trend, while carbon storage habitat quality experienced slight declines. (2) Over time, dominant drivers transitioned primarily socio-economic factors synergistic influence natural human activities. GDP land use intensity increasingly contributed explaining through their interaction effects. (3) At street scale, exhibited spatial heterogeneity. For instance, negative effects built-up cultivated more pronounced urban–rural transition zones, elevation NDVI had positive impact source areas. provides systematic targeted recommendations offer data-driven insights guide policies prioritizing regional sustainability. Furthermore, it practical reference points for improving other coal cities undergoing incomplete transformations.

Language: Английский

Citations

0

Examining the Influencing Factors of Green Transformation Efficiency in Resource-Exhausted Cities through the Lens of Chinese Case Studies: A Framework Integrating Urban System Composition Analysis and PLS-SEM Methodology DOI Creative Commons
Ziyi Wang, Yi Yang, Zhen Li

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106398 - 106398

Published: April 1, 2025

Language: Английский

Citations

0

Human activities and ecosystem health: A historical analysis of Poyang Lake DOI Creative Commons
Yaobin Liu,

Jiao Liu,

Xiaojie Yin

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112446 - 112446

Published: Aug. 2, 2024

Urbanization, industrialization, land development, and other human activities have led to ecological issues such as shrinking lake wetlands, fragmented cropland, reduced biodiversity. Taking the Poyang Lake urban agglomeration study area, textual analysis method was used analyze typical facts of historical succession since 1949, then index spatial were adopted characterize temporal evolution ecosystem health in period 2003–2020. On this basis, spillover effects on investigated based Durbin model four dimensions. The results show that area gone through management path from "agricultural retreat fishery advancement" "dike reclamation" "sand ban" "returning lake". Ecological protection has sublimation "enlightenment" "full implementation" "strengthening upgrading". 2003 2020 been range 0.37709 ∼ 0.3709 0.3709. 0.48485, with characteristics "low center high periphery". city expansion agricultural county are generally distributed pattern "high center, low periphery", while distribution water body is characterized by "near-lake" "near-river", newly registered enterprises a change "point" "surface". "proximity lake" river", changes There significant competition effect health, there negative collaboration industrial activities, effect. can provide more detailed empirical support for regulation global lakeside agglomerations.

Language: Английский

Citations

3

Analysis of the Spatiotemporal Dynamics and Drivers of Ecosystem Health in Xinjiang DOI Creative Commons

Xiaming Yang,

Renping Zhang,

Jing Guo

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 13387 - 13399

Published: Jan. 1, 2024

Ecosystem health is a key indicator of regional sustainable development and important for guiding ecological improvement. However, long-term time-series analyses ecosystem health, its drivers, changes related to future trends have not yet been adequately carried out. Xinjiang, typical Central Asian arid region, taken as case study, an system based on the driver–pressure–state–impact–response model established. Then, assessment method using TOPSIS with combined weighting proposed, determinants influencing ecosystems are scrutinized utilizing geographical detector approach geographically weighted regression model. Finally, trend change was predicted by applying Hurst exponent slope analysis. The findings reveal following observations: First, between 2000 2020, zones in Xinjiang demonstrating robust predominantly encompassed Altai Mountains areas proximal Tian Shan Mountains; low-value regions were concentrated Junggar Basin around Tarim Basin; improved index accounted 92.1% research zone. Second, natural driving factors dominate Dominant drivers vary among affected interactions multiple factors, positive negative effects. Third, designated study area, exhibiting increase persistent projected constitute 85.05% total area. This promising providing decision support Xinjiang.

Language: Английский

Citations

0