Promoting sustainable land management: An innovative approach to land-take decision-making DOI
Pranav Gupta, Alka Bharat, Nick McCullen

et al.

Land Use Policy, Journal Year: 2024, Volume and Issue: 149, P. 107419 - 107419

Published: Nov. 28, 2024

Language: Английский

Using ecological security pattern to identify priority protected areas: A case study in the Wuhan Metropolitan Area, China DOI Creative Commons
Wen Zeng, Huan Tang, Xun Liang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 148, P. 110121 - 110121

Published: March 14, 2023

Protected areas (PAs) play a key role in mitigating ecological crises. Currently, priority protected (PPAs) focus on biological conservation, and few studies have considered the connectivity between patches. Few formulated future conservation measures from two dimensions of security pattern (ESP) reserve effectiveness. To fill this gap, study use ESP to identify that meet objectives. We take Wuhan metropolitan area as research area. constructed framework for formulating development plans based areas. The complete method system, we focused construction evaluation index system landscape connectivity. Then, effectiveness PAs could be evaluated, PPAs identified. results showed there were five isolated among existing PAs. Moreover, total was 9328.91 km2, they had high value. Due low protection rate PPAs, are not main target PAs; thus, new According our plan, with different classes will achieve functions work. Our focuses achieving sustainable formulates environmental land planning balance urban development. It can provide information support realization 2030 vision

Language: Английский

Citations

40

Implementing urban agriculture as nature-based solutions in China: Challenges and global lessons DOI Creative Commons
Zhe Zhu, Faith Ka Shun Chan, Gang Li

et al.

Soil & Environmental Health, Journal Year: 2024, Volume and Issue: 2(1), P. 100063 - 100063

Published: Feb. 1, 2024

Urban agriculture, the cultivation, processing and distribution of plants animals within urban or suburban boundaries, is becoming an increasingly relevant strategy to enhance food security for residents. With rapid urbanization in past decades, three forms agriculture have emerged China: small-scale, capital-intensive, tourism-type. Each form presents unique benefits challenges, their development has been largely shaped by local socio-economic context government policies. The are numerous including improvement community cohesion, promotion physical health, enhancement environmental sustainability, creation new economic opportunities. However, it also faces many challenges such as land availability, capital shortage, market access, governmental support. This review summarized its current limitations proposed strategies overcome these hurdles China based on successful examples Global North. Four specific recommendations were provided promote integration into cities, solutions resource use, support reactions, well planning regulations. Adoption expected result healthier cities a more robust agricultural system China.

Language: Английский

Citations

13

Suitability evaluation of the rural settlements in a farming-pastoral ecotone area based on machine learning maximum entropy DOI Creative Commons
Haitao Zhou, Xiaodong Na, Lin Li

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110794 - 110794

Published: Aug. 12, 2023

The suitability evaluation of rural settlements is the core foundation planning and layout optimization. Settlements in a farming-pastoral ecotone are migrative, dynamic, diverse, thus their changes constantly. However, our limited understanding factors that drive this dynamic process affect humane hindered high-quality development human such areas. Here we selected ethnic minority border area Dalham Maomingan United Banner (DMUB) Northern China to evaluate its settlements. A data-driven machine learning maximum entropy (Maxent) method was applied settlement datasets DMUB years 1996, 2010, 2020, as well 13 influencing derived from optical images topographical ancillary data, demonstrating Maxent model can quantitatively measure contribution importance each factor variation over time. Furthermore, results showed distance cultivated land, population density, road had great influence on early-stage distribution land gradually decreased with significantly increased effect grassland later period. fluctuated first increasing then decreasing. also used automatically determine suitable range for according response curve: elevation falling between 1450 1650 m approximately, slope being <7°, aspect about 75°-225°, optimal town hospital within 3000 m, vegetation cover 0.60–0.75. Such multi-period indicated decreased, fragmentation serious. has been dynamically transformed, but mostly toward unsuitable development. This study provides decision-making basis site selection livability assessment villages ecotone.

Language: Английский

Citations

19

Optimization of land-use pattern based on suitability and trade-offs between land development and protection: A case study of the Hohhot-Baotou-Ordos (HBO) area in Inner Mongolia, China DOI
Yanwei Feng, Wenzhong Zhang,

YU Jian-hui

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 466, P. 142796 - 142796

Published: June 4, 2024

Language: Английский

Citations

7

Conservation and Restoration of Mangroves in Response to Invasion of Spartina alterniflora Based on the MaxEnt Model: A Case Study in China DOI Open Access
Lina Cui, Uta Berger,

Minmin Cao

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(6), P. 1220 - 1220

Published: June 13, 2023

In China, the invasion of Spartina alterniflora is an important driver for decrease mangrove area and ecological service functions related to this habitat. past few decades, S. clearing restoration projects have mainly focused on areas where it already changed but ignored potential distribution areas. This study suggested that implementation protection prior with threat could greatly improve efficiency save costs. Thus, using Maximum Entropy Modeling (MaxEnt), we estimated spatial both mangroves in considering current data, topographical, sediments, sea surface temperature bioclimatic variables. What’s more, identified calculated distributed each province. We aimed explore (i) key factors determining along coastline (ii) hotspots their competitive occurrence, including degradation areas, order support conservation. The model showed distance topography play roles alterniflora, while were more sensitive range annual temperature. Our results furthermore confirm has a wider (~10,585 km2) than (~9124 at China; predict provinces Zhangzhou, Quanzhou, Zhanjiang, Beihai Wenzhou as competition between alterniflora. propose priority should be given or plants those which are co-suitable these management measures conducted hinder invasions clear existing plants, firstly. provides guidance native species by preventing biological invasion.

Language: Английский

Citations

16

Analyzing spatial patterns and influencing factors of different illegal land use types within ecological spaces: A case study of a fast-growing city DOI
Hua Li,

Yinuo Peng,

Minying Li

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 424, P. 138883 - 138883

Published: Sept. 14, 2023

Language: Английский

Citations

14

Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways DOI Creative Commons
Mo Wang, Fu‐Rong Chen, Dongqing Zhang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110764 - 110764

Published: Aug. 6, 2023

Driven by the change in intense land use and cover (LULC) due to fast urbanization, urban flooding events have become most frequent influential hazards over last few decades. Accurately predicting possible flood-prone locations under dynamic fluctuations of LULC is crucial for sustainable development. However, there has been sparse studies on systematic integration changes into anticipate development scenarios coupled with vulnerability assessment. Therefore, this study proposed a robust powerful cascade modeling chain consisting Maximum Entropy, System Dynamics Patch-generating Land Use Simulation combination shared socio-economic pathways projecting temporal spatial associated vulnerability. Taking Guangdong Hong Kong Macao Greater Bay Area (GBA) as case study, results showed that increase was largely caused expansion construction land. Overall, substantial distinction within observed ranked order SSP126 < SSP245 SSP585. Under SSP585, areas high risk will be expected significantly, accounting 26% total areas, nearly half built-up are exposed 2050. SSP245, medium were anticipated fifth areas. scenario, no predicted area risk, only 1%, future urbanization hotspots serious risks likely found fringe GBA's line extent expansion. The finding shed comprehensive insight identification distribution facilitate exploration flood mitigation measures use.

Language: Английский

Citations

12

Investigating the Spatial Distribution and Influencing Factors of Non-Grain Production of Farmland in South China Based on MaxEnt Modeling and Multisource Earth Observation Data DOI Creative Commons
Juntao Chen,

Zhuochun Lin,

Jinyao Lin

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(21), P. 3385 - 3385

Published: Oct. 24, 2024

Excessive non-grain production of farmland (NGPF) seriously affects food security and hinders progress toward Sustainable Development Goal 2 (Zero Hunger). Understanding the spatial distribution influencing factors NGPF is essential for agricultural management. However, previous studies on identification have mainly relied high-cost methods (e.g., visual interpretation). Furthermore, common machine learning techniques difficulty in accurately identifying based solely spectral information, as not merely a natural phenomenon. Accurately at grid scale elucidating its emerged critical scientific challenges current literature. Therefore, aims this study are to develop grid-scale method that integrates multisource remote sensing data enhance precision provide more comprehensive understanding factors. To overcome these challenges, we combined images, natural/anthropogenic factors, maximum entropy model reveal scale. This combination can detailed information quantify integrated influences multiple from microscale perspective. In case Foshan, China, area under receiver operating characteristic curve 0.786, with results differing by only 1.74% statistical yearbook results, demonstrating reliability method. Additionally, total error our result lower than using information. Our enhances resolution effectively detects small fragmented farmlands. We identified elevation, farming radius, population density dominant affecting NGPF. These offer targeted strategies mitigate excessive The advantage lies independence negative samples. feature applicability other cases, particularly regions lacking high-resolution grain crop-related data.

Language: Английский

Citations

4

Modeling Susceptibility to Illegal Land Occupation in Cape Town, South Africa: A Random Forest Approach DOI Creative Commons
Curtis J. Bailey, Kyle Loggenberg

Transactions in GIS, Journal Year: 2025, Volume and Issue: 29(1)

Published: Feb. 1, 2025

ABSTRACT Illegal land occupation is a pervasive challenge in South Africa, particularly urban landscapes such as Cape Town. Despite numerous studies investigating its causes, spatial distribution, and impacts, there scarcity of research focused on predicting occurrence. This study addresses this gap by developing machine learning model to identify areas susceptible illegal invasion within the Town Metropole. A random forest (RF) regression was built utilizing samples prevalence pseudoabsence. total 1070 were collected (535 points per class), with 70% used for training 30% validation. The RF demonstrated accurate predictive performance an R 2 0.809. study's findings indicate that bordering existing informal settlements are most at risk future occupation. developed can be valuable tool planners policymakers more effective strategies prevent manage

Language: Английский

Citations

0

Spatiotemporal Evolution and Suitability Evaluation of Rural Settlements in the Typical Mountainous Area of the Upper Minjiang River: A Case Study of Lixian County, Sichuan Province, China DOI Open Access

Ruotong Mao,

Jiangtao Xiao,

Ping Ren

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2902 - 2902

Published: March 25, 2025

Under the framework of Rural Revitalization Strategy, optimizing layout rural settlements in mountainous areas and guiding their sustainable development must be based on a deep understanding evolution characteristics suitability evaluations. This study focuses Lixian County, located southwestern part China, Sichuan Province, as research area employs methods such average nearest neighbor index, kernel density analysis, landscape pattern index to analyze spatiotemporal 2000, 2010, 2020. Additionally, Maxent model, ecological niche theory, is applied evaluate settlements. The results reveal following: (1) County exhibit spatial distribution characterized by “sparser west, denser east, belt-like pattern”, with clustered trend. number settlement patches increased, becoming more centralized, shapes complex, connectivity between improving. (2) highly suitable land for has decreased annually, over 85% classified unsuitable layout. Suitability transitions mostly occur adjacent levels, it difficult become suitable. (3) In earlier years, was significantly influenced distance cultivated land, slope, geological hazard sites. By 2020, however, roads had second most important environmental factor, following land. Natural factors, particularly topographic features elevation were found exert greater influence than socioeconomic factors evaluating County. These findings provide scientific foundation layouts regions, offering valuable insights into transformation not only upper Minjiang River but also reference other similar regions.

Language: Английский

Citations

0