Modeling land use and land cover dynamics of Bale Mountains National Park using Google Earth Engine and cellular automata–artificial neural network (CA-ANN) model DOI Creative Commons
Firdissa Sadeta Tiye,

Diriba Korecha,

Tariku Mekonnen Gutema

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0320428 - e0320428

Опубликована: Апрель 30, 2025

This research aimed to assess the observed land use and cover (LULC) changes of Bale Mountains National Park (BMNP) from 1993 2023 its future projections for years (2033 2053). The study utilized multi-date Landsat imagery 1993, 2003, 2013, 2023, leveraging 5 TM, 7 ETM+, 8 OLI-TIRS sensors LULC classification. Standard image pre-processing techniques were applied, composite images created using yearly median values in Google Earth Engine (GEE). In addition satellite data, both physical socioeconomic variables used as input modeling. Random Forest (RF) classification algorithm was classification, while Cellular Automata Artificial Neural Networks (CA-ANN) model within Modules Land Use Change Simulations (MOLUSCE) plugin QGIS employed projection. analysis revealed significant BMNP, primarily due anthropogenic activities, with further anticipated between 2053.The results showed a notable increase woodland shrubs at expense grassland Erica forest. While increased by 87.18% 36.7%, areas forest lost about 25% 22% their area, respectively, during this period. also indicated that covered are expected 15.97% 15.57%, 2053. Conversely, occupied cultivated land, forest, grassland, herbaceous plants projected decrease 28.52%, 3.28%, 19.03%, 6.55%, respectively. Proximity roads urban combined rising temperatures altered precipitation patterns emerged critical factors influencing conversion BMNP. These findings underscore complex interplay environmental human activities shaping dynamics. Hence, promoting sustainable management practices among park administration local community well enhancing habitat protection efforts recommended. Additionally, integrating advanced remote sensing technologies ground truthing will be essential accurate assessments dynamics area biodiversity.

Язык: Английский

Impacts of land use and cover changes on ecosystem service values from 1992 to 2052 in Gena District, Southwest Ethiopia DOI Creative Commons
Tesfaye Tadesse, Yericho Berhanu, Ginjo Gitima

и другие.

Scientific African, Год журнала: 2024, Номер 24, С. e02244 - e02244

Опубликована: Май 7, 2024

Land use and cover changes alter the functions structures of ecosystem, resulting in variations Ecosystem Service Values (ESVs). Thus, we examined impacts land use/land (LULC) on ESVs from 1992 to 2052 using geospatial technologies. The Landsat images were classified supervised maximum likelihood classification technique, future LULC predicted CA-Markov model. adopted empirical studies their evaluated based benefit transfer method data for study periods, with corresponding modified coefficients. results revealed that, proportions grassland, forestland shrubland declined by 58.5%, 48.15% 33.48%, respectively, 2022. Simultaneously, highest rate expansions waterbodies (34 times), farmland settlement threefold as well bareland (60.2%) 2022 was noticed. As a result, decreasing trends experienced total district US$33.6 million US$27.79 2022, are anticipated further decline US$25.94 2052. forestland, grassland shrank 53.1%, 40% 2.78% 33.28%, 33.16% 1.4% these continue next three decades, except trend increase ecosystem service value. Therefore, government should redesign effective management strategies alleviate negative consequences changes, facilitate payment services, design ecotourism boost income residents major management-based production systems ESV district.

Язык: Английский

Процитировано

5

Impact of Land Use Changes on Ecosystem Services Supply: A Meta Analysis of the Italian Context DOI Creative Commons
Davide Marino, Antônio Alci Barone, Angelo Marucci

и другие.

Land, Год журнала: 2023, Номер 12(12), С. 2173 - 2173

Опубликована: Дек. 16, 2023

Changes in land use and cover (LULC) are caused by several factors, including climate change, socio-demographic dynamics, human pressures urban sprawl. These factors alter the structure functionality of ecosystems their capacity to provide ecosystem goods services society. The study LULC changes is important for understanding dynamics relationships between environmental, social economic components analyzing affecting natural capital. Including (ES) spatial planning tools sectoral policies useful improving governance. In this paper, impact on ES provision has been estimated. To end, we carried out a literature review (Step 1) select biophysical coefficients supply classes collect them database 2). We subsequently aggregated macro 3) and, using benefit transfer approach, estimated change ESs concerning permanence transition phenomena Italy from 1990 2018 4). analysis also allowed us evaluate consequences urbanization green space governance supply. Indeed, these spaces can help reduce risks people’s health safety mitigate effects induced change. total, approximately 800 (biophysical economic) supplied Corine Land Cover were acquired. results show reduction annual EUR 927 million (2022) 2018. This research proposes methodology improve knowledge anthropogenic impacts support land-use regarding Agenda 2030 Sustainable Development Goals.

Язык: Английский

Процитировано

11

Evaluating the impact of land use and land cover changes on forest ecosystem service values using landsat dataset in the Atwima Nwabiagya North, Ghana DOI Creative Commons
Richard Baidoo,

Kwame Obeng

Heliyon, Год журнала: 2023, Номер 9(11), С. e21736 - e21736

Опубликована: Окт. 28, 2023

This study investigated land use and cover (LULC) changes its impact on forest ecosystem service values for 20 years in the Atwima Nwabaiagya North District using Landsat images of 2002, 2012 2022. Supervised classification with Maximum Likelihood Algorithm was used to classify images. Five LULC types (high-dense forest, low-dense water, bare-ground, Built-up area) were successfully classified, overall accuracies 99.0 % Kappa coefficients 0.99. The result showed a reduction high-dense 23.87 %, 26.53 water areas as 1.16 whereas built-up (21.44 %) bare-ground (27 experienced an expansion their areas. Related literatures ecological assets value table adjusted price evaluate response changes. discovered that high forests have declined from USD 22.68 million 8.75 14.56 5.2 respectively. total by 33.73 2002 21.91 It revealed most notable feature bare-grounds. There is need curb current drivers Nwabiagya stop further degradation optimum delivery district. For planners decision makers who site-specific information effects alterations services, study's findings are essential. will make it easier track past environmental obtain quick, accurate results decision-making.

Язык: Английский

Процитировано

10

Urbanization-Induced Land Use Dynamics and Its Impacts on Present and Future Urban Ecosystem Services in the Industrial Cities of India DOI
Sanjit Sarkar, Suraj Kumar Mallick, Harekrishna Manna

и другие.

Earth Systems and Environment, Год журнала: 2024, Номер 8(3), С. 869 - 893

Опубликована: Авг. 12, 2024

Язык: Английский

Процитировано

3

The Golden Afromontane ecosystems at cross-road: Wetland-based upstream-downstream linkage in Genale Dawa River Basin DOI Creative Commons

Habtamu Temesgen,

Haile Ketema,

Gezahegn Beyene Kebede

и другие.

Heliyon, Год журнала: 2025, Номер 11(2), С. e41658 - e41658

Опубликована: Янв. 1, 2025

Highlights•Significant non-linear land use change was observed in Genale-Dawa River Basin•Ecosystem service significantly reduced the afromontane region•Historical ecology identified ecosystem related previous problems basinAbstractUnderstanding relationship between and cover (LULC) wetland-based services (WESs) is crucial for sustaining wetlands maintaining hydrological connectivity Basin (GDRB). While quantification of LULC has received considerable emphasis, WESs are often overlooked this region. This research aims to analyze estimate potential (ESs) provided by GDRB. Data were collected through field observations, focus group discussions, key informant interviews, with respondents selected using simple random purposive sampling techniques. Landsat images from 2005 2020, along document reviews, utilized generate datasets. A stakeholders' consultation forum expert judgment employed understand historical Results showed that: (1) occurred non-linearly GDRB, agricultural continuously increasing while forestland, woodland, grassland decreased 2020; (2) estimated value (ESV) GDRB approximately US $10,360.28 million $9,033.06 per year indicating a decline 12.81%, resulting total net loss $1,327.22 basin. Although provisioning ESV increased, regulating, supporting, cultural ESVs have experienced significant losses. The increase does not compensate overall Soil compaction upstream part diminished recharge enhanced flooding downstream, jeopardizing sustainable situation placed basin at risk critical crossroads. Notably, landscape now more exposed anthropogenic pressures than past, clear impacts both locally downstream. Therefore, robust law enforcement awareness-raising efforts essential, targeted rehabilitation initiatives GDRB.Graphical abstract

Язык: Английский

Процитировано

0

Interplay Among Recent Trends in Climate Extremes, Vegetation Phenology, and Crop Production in the Southern Mediterranean Region DOI Creative Commons
Behnam Mirgol, Bastien Dieppois,

Jessica Northey

и другие.

International Journal of Climatology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 29, 2025

ABSTRACT The southern Mediterranean region is among the most vulnerable areas to climate change globally. However, in this region, there a need further understand complex interactions between climate, vegetation, and crops fully assess combined impacts of extreme events on agricultural sector. Using daily Normalised Difference Vegetation Index (NDVI) data, we evaluated trends across 15 vegetation phenology indicators 1982 2019 analysed their links land‐use land‐cover changes. We found significant increases maximum value NDVI (MaxV), length growing seasons (LengthGS), duration from crop emergence anthesis (BMaxT), particularly within croplands. These changes positively correlated with regional production, especially coastal interior plains where croplands forests are expanding. Conversely, bordering Sahara showed declining MaxV an expansion sparsely vegetated areas. then conducted comprehensive seasonal trend analysis climatic stresses discussed how they align recent key phenological indicators. Coastal experienced wetter conditions throughout year, ensuring sufficient water during season. Meanwhile, had autumns winters but drier springs summers. Additionally, warmer spring autumn, fewer cold wave events. Analysing frequency compound events, observed toward more light moderate dry/hot days autumn wet/hot summer autumn. significantly increased MaxV, improved productivity, extended LengthGS BMaxT. findings may serve as early future could impact highlighting risks opportunities guide informed decision‐making development adaptive strategies region.

Язык: Английский

Процитировано

0

Expanding Forest Cover Increases the Ecosystem Service Values of Dry Afromontane Forests in Tigray, Ethiopia DOI Open Access
Eskinder Gidey, Emiru Birhane, Paidamwoyo Mhangara

и другие.

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

ABSTRACT Ecosystem service valuation is crucial for ensuring the sustainability of ecosystem functions. However, services provided by expanding dry Afromontane forests, which could show potential conservation sustainability, have not been adequately quantified. This study aims to fill knowledge and methodological gaps assessing value Hugumburda Dry Forest (HDAF) in Tigray, Ethiopia, using Services Provision Index (ESPI), updated (ES) coefficients, ES (ESV) function. We applied Economics Ecosystems Biodiversity (TEEB) model analyze provisioning, regulating, supporting, cultural ESs. Satellite imagery from US Geological Survey (USGS) over past four decades, along with 240 control points, helped highlight inherent values forest. Our results that HDAF forest cover expected increase 19.1 km 2 (3.8%) 2030, up 88.6 2020. Consequently, ESV provisions are projected 1.88 million dollars annually, benefiting local community if current expansion efforts continue. found a significant correlation ( p < 0.01) between area forestland, shrubland, arable land, grassland, water bodies. The ESPI were highest forestland grassland (0.38) lowest bodies (−0.51). primarily provides regulatory services, followed services. combination optical remote sensing valuing ESs, promoting sustainable management practices, recognizing increasing benefits both environmental social outcomes. increases influenced only but also quality cover.

Язык: Английский

Процитировано

0

A Comparative Assessment of Water Supply Stress Index (WaSSI) and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) Models for Annual Water Yield Estimation: A Case Study in the Croatan National Forest DOI Open Access

M. Fallahi,

Stacy A. C. Nelson,

Solomon Beyene

и другие.

Environments, Год журнала: 2025, Номер 12(3), С. 89 - 89

Опубликована: Март 14, 2025

This study conducts a comparison of two ecosystem service models: the Water Supply Stress Index (WaSSI) and Integrated Valuation Ecosystem Services Tradeoffs (InVEST). It focuses on each model’s capability to estimate annual water yield within Croatan National Forest (CNF). The Forest, characterized as coastal with high biodiversity unique resource management challenges, provides an opportune setting examine compare accuracy efficiency these models in predicting yield. Utilizing field data remote sensing, we investigated capabilities both results indicate that can serve useful tools for ecosystems, yet there are differences their sensitivity environmental factors. is first models, WaSSI InVEST, forest calculation

Язык: Английский

Процитировано

0

Impact of LULC in Coastal Cities on Terrestrial Carbon Storage and Ecosystem Service Value: A Case Study of Liaoning Province DOI Open Access
Yuan Li, Bin Xu, Zhiyong Li

и другие.

Sustainability, Год журнала: 2025, Номер 17(7), С. 2889 - 2889

Опубликована: Март 24, 2025

Context: The intensification of land use changes in coastal cities has been a result the ongoing development social economy. A decrease ecosystem service value (ESV) and terrestrial carbon storage (TCS) observed as urbanization climate change. However, it is unclear whether influence change on ESV TCS towns would be facilitated or hampered under various growth scenarios. Aim: This study simulated impact future scenarios provided scientific policy references for preservation their ecological functions. Approaches: InVEST model PLUS were employed to predict Liaoning Province from 2030 2060 scenarios, based data three periods 2000 2010 2020. also calculated. Results: distribution pattern are significantly influenced by area chief influencing factors types Province. dynamic construction land, cultivated grassland, unused play significant role given variations patterns across different cities. Two primary that GDP, NDVI, DEM, rainfall, population distribution. Three provisioning services, regulating supporting cultural experienced gradual decline cities, while forest rivers, grasslands exhibited downward trend. spatial characteristics “low coastal, high eastern, western, inland areas, medium central grassland area.” Four can effectively mitigate services protection scenario. Conclusions: present demonstrates spatiotemporal propelling forces communities during simulation Important sustainable control through recommendations non-construction management enhance TCS.

Язык: Английский

Процитировано

0

Spatio‐Temporal Change of Habitat Quality in Northeast China: Driving Factors Exploration Based on Land Use and Land Cover Change DOI Open Access
Chuanbao Wu, Yuanyuan Cui, J.L. Zhen

и другие.

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Март 30, 2025

ABSTRACT Ecological environment plays an indispensable role in sustaining and developing human society natural ecosystems, while it continually suffers from degradation caused by activities. Land Use Cover (LULC), which serves as a proxy of the intensity intervention, has been regarded equally important factor affecting habitat quality climate change. Despite exploring close relationship between LULC changes quality, current research remains largely theoretical does not delve into management measures following degradation. Consequently, its practical implications for ecological conservation are limited. In this study, taking Northeast China, prominent contradiction protection, study area, InVEST model was introduced to assess based on data 2000 2020. Then, Geographically Weighted Regression (GWR) employed analyze explanatory variables change terms The results indicated that China 2020 mainly occurred cultivated land, artificial grassland, forestland. Habitat demonstrated progressive decline yet remained at intermediate level exhibited significant spatio‐temporal heterogeneity whole. Furthermore, regression there correlation Finally, classified three functional zones K‐Means clustering analysis: coordinated development zone, key each with own characteristics priorities. findings can provide scientific reference rational use land zoning China.

Язык: Английский

Процитировано

0