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Keywords = Co$ting Nature Modeling

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13 pages, 2345 KB  
Article
Valuation of Potential and Realized Ecosystem Services Based on Land Use Data in Northern Thailand
by Torlarp Kamyo, Dokrak Marod, Sura Pattanakiat and Lamthai Asanok
Land 2025, 14(3), 529; https://doi.org/10.3390/land14030529 - 3 Mar 2025
Cited by 1 | Viewed by 2417
Abstract
Evaluating potential (PES) and realized (RES) ecosystem services can significantly improve the clarity and understanding of sustainable natural resource management practices. This study determined spatial distribution indices and assessed the economic value of both PES and RES in Northern Thailand. The geographic distribution [...] Read more.
Evaluating potential (PES) and realized (RES) ecosystem services can significantly improve the clarity and understanding of sustainable natural resource management practices. This study determined spatial distribution indices and assessed the economic value of both PES and RES in Northern Thailand. The geographic distribution and intensity of 17 ecological services of six land use categories (i.e., forests, agriculture, shrubland, urban land, water bodies, and barren land) were estimated for the distribution and unit values of PES and RES, by using the Co$ting Nature Model. Our results suggested that the PES and RES values were spatially consistent. The map showing the distribution of PES and RES values revealed high values in the cities of Chiang Mai, Chiang Rai, Lamphun, Lampang, Phitsanulok, and Nakhon Sawan. Nutrient cycling, soil formation, and water supply were identified as the top potential ecological services, while nutrient cycling, water supply, and soil formation were the most realized. The ecosystem service packages in Northern Thailand had a potential annual value of 36.31 billion USD per year. However, after adjusting for relative indices, the realized ecosystem services were valued at 13.44 billion USD per year, representing only one-third of the potential value. To manage resources effectively and make informed decisions, it is essential to comprehend the gap between possible and actual ecosystem services. This research underscores the financial worth of ecosystem services and emphasizes the significance of using them sustainably to enhance human well-being and conserve the environment in Northern Thailand. Full article
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15 pages, 1622 KB  
Article
Trends in the Occurrence of Compound Extremes of Temperature and Precipitation in Côte d’Ivoire
by Elisée Yapo Akobé, Adama Diawara, Fidèle Yoroba, Benjamin K. Kouassi, Assi Louis Martial Yapo, Ibrahima Diba, Kouakou Kouadio, Dro T. Tiémoko, Dianikoura Ibrahim Koné and Arona Diedhiou
Atmosphere 2025, 16(1), 3; https://doi.org/10.3390/atmos16010003 - 24 Dec 2024
Viewed by 1734
Abstract
The aim of this study is to characterize the compound extremes of rainfall and temperature in Côte d’Ivoire. For this purpose, we analyzed the outputs of fourteen (14) climate models from the CORDEX-Africa project. Results show an increase (approximately 4.3 °C) in the [...] Read more.
The aim of this study is to characterize the compound extremes of rainfall and temperature in Côte d’Ivoire. For this purpose, we analyzed the outputs of fourteen (14) climate models from the CORDEX-Africa project. Results show an increase (approximately 4.3 °C) in the surface temperature and a decrease (5.90%) of the mean rainfall in the near (2036–2065) and far futures (2071–2100) over Côte d’Ivoire during the January–February–March (JFM) period. The analysis of the compound extremes of the wet/warm type highlights an increase in the frequency of this climatic hazard in the northern and central parts of the country during the January–March (JFM) season in the near and far futures. The dry/warm mode will increase in the central and southern parts of the country in the near future and in the whole country in the far future. These increases in compound extremes could lead to an increase in droughts and natural disasters across the country and could have a negative impact on socio-economic activities, such as transportation and agricultural production. This work could provide decision support for political decision-makers in formulating future public policies for managing agricultural production, food security, and natural disasters. Full article
(This article belongs to the Section Meteorology)
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32 pages, 6210 KB  
Article
Prospectivity Mapping of Heavy Mineral Ore Deposits Based upon Machine-Learning Algorithms: Columbite-Tantalite Deposits in West- Central Côte d’Ivoire
by Kassi Olivier Shaw, Kalifa Goïta and Mickaël Germain
Minerals 2022, 12(11), 1453; https://doi.org/10.3390/min12111453 - 17 Nov 2022
Cited by 7 | Viewed by 5344
Abstract
This study aimed to model the prospectivity for placer deposits using geomorphic and landscape parameters. Within a geographic information system (GIS), spatial autocorrelation analysis of 3709 geochemical samples was used to identify prospective and non-prospective targets for columbite-tantalite (Nb-Ta) placer deposits of Hana-Lobo [...] Read more.
This study aimed to model the prospectivity for placer deposits using geomorphic and landscape parameters. Within a geographic information system (GIS), spatial autocorrelation analysis of 3709 geochemical samples was used to identify prospective and non-prospective targets for columbite-tantalite (Nb-Ta) placer deposits of Hana-Lobo (H-L) Geological Complex (West- Central Côte d’Ivoire, West Africa). Based on mineralization system analysis, hydrologic, geomorphologic and landscape parameters were extracted at the locations of the identified targets. Supervised automatic classification approaches were applied, including Random Forest (RF), K-Nearest Neighbors (KNN) and Support Vector Machines (SVM) to find a prospectivity model complex enough to capture the nature of the data. Metrics such as cross-validation accuracy (CVA), Receiver Operating Characteristic (ROC) curves, Area Under Curve (AUC) values and F-score values were used to evaluate the performance and robustness of output models. Results of applying machine-learning algorithms demonstrated that predictions provided by the final RF and KNN models were very close (κ = 0.56 and CVA = 0.69; κ = 0.54 and CVA = 0.68, respectively) and those provided by the SVM models were slightly lower with κ = 0.46 and CVA = 0.63. Independent validation results confirmed the slightly higher performance of both KNN and RF prospectivity models, compared to final SVM. Sensitivity analyses of both KNN and RF prospectivity models for medium and high-grade Nb-Ta deposits show a prediction rate of up to 90%. Full article
(This article belongs to the Special Issue AI-Based GIS for Pinpointing Mineral Deposits)
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12 pages, 6295 KB  
Communication
Combining Co$ting Nature and Suitability Modeling to Identify High Flood Risk Areas in Need of Nature-Based Services
by Sara Prybutok, Galen Newman, Kayode Atoba, Garett Sansom and Zhihan Tao
Land 2021, 10(8), 853; https://doi.org/10.3390/land10080853 - 15 Aug 2021
Cited by 13 | Viewed by 3770
Abstract
Coastal areas are often subject to the severe consequences of flooding from intense storms or hurricanes. Increases in coastal development have amplified both flooding intensity and negative impacts for coastal communities. Reductions in pervious land cover and replacement with impervious ones have reduced [...] Read more.
Coastal areas are often subject to the severe consequences of flooding from intense storms or hurricanes. Increases in coastal development have amplified both flooding intensity and negative impacts for coastal communities. Reductions in pervious land cover and replacement with impervious ones have reduced the amount of ecosystem services. This research examines the services provided by nature-based solutions by applying outputs from Co$ting Nature models into suitability models to quantify ecosystem services along the Texas Coast. Results show that only around 13% of the Houston-Galveston coastal area has relatively high NBS, and nearly ¼ of the area shows relatively low NBS. The majority of the areas lie in the middle, which, due to increases in development, are at particular risk for becoming areas offering low NBS in the future if not treated. Such vulnerability assessment informs future implementation strategies for NBS in coastal communities to protect people and property from flooding. Full article
(This article belongs to the Section Land Planning and Landscape Architecture)
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16 pages, 13739 KB  
Article
Collaborative 3D Monitoring for Coastal Survey: Conclusive Tests and First Feedbacks Using the SELPhCoAST Workflow
by Elsa Cariou, Agnes Baltzer, Donatienne Leparoux and Vincent Lacombe
Geosciences 2021, 11(3), 114; https://doi.org/10.3390/geosciences11030114 - 2 Mar 2021
Cited by 4 | Viewed by 2064
Abstract
“Structure from Motion” by smart devices photography (SfM-S) is a current promising tool to support 3D participatory monitoring of heritage and geosites. Within the ODySéYeu scientific project, which aims to analyze the sedimentary dynamics around the isle of Yeu (France), a consortium of [...] Read more.
“Structure from Motion” by smart devices photography (SfM-S) is a current promising tool to support 3D participatory monitoring of heritage and geosites. Within the ODySéYeu scientific project, which aims to analyze the sedimentary dynamics around the isle of Yeu (France), a consortium of different local actors was invited to collectively develop an integrated solution to monitor the coastal evolution of the isle in 3D. This new solution is composed of a combination of an application (SENTINELLES de la côte) and a specific workflow (SELPhCoAST), which guides citizens to acquire reliable in-situ photo datasets with their own smart device, facilitates data transmission, and allows both a reliable data treatment and a public presentation of matters and results. This study presents the results of reproducibility and accuracy tests performed on a test-site to validate the SELPhCoAST workflow, over 20 months of monitoring, with multiple operators and devices. Tests show that at least 95% of each SfM-S model is identical to the terrestrial laser scans models within a range of ±5 cm, almost independently of the operator or smartphone model. This study highlights the interest of this cost-effective participatory solution to understand coastal erosion processes, and facilitate the establishment of soft and nature-based solutions of protection, management or restoration of sites. Full article
(This article belongs to the Special Issue Coastal Environment Monitoring)
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17 pages, 2319 KB  
Article
Determinants of Termite Assemblages’ Characteristics within Natural Habitats of a Sudano-Guinean Savanna (Comoe National Park, Côte d’Ivoire)
by N’golo Abdoulaye Koné, Kolotchèlèma Simon Silué, Souleymane Konaté and Karl Eduard Linsenmair
Insects 2018, 9(4), 189; https://doi.org/10.3390/insects9040189 - 10 Dec 2018
Cited by 5 | Viewed by 4595
Abstract
Termites are one of the major components of tropical ecosystems. However, the ecological and biological variables determining the structure of their communities within natural habitats are less documented in general and especially in the Comoe National Park, a Sudano-Guinean savanna zone located in [...] Read more.
Termites are one of the major components of tropical ecosystems. However, the ecological and biological variables determining the structure of their communities within natural habitats are less documented in general and especially in the Comoe National Park, a Sudano-Guinean savanna zone located in the north-eastern part of Côte d’Ivoire (West Africa). Using a standardized method of belt transects, the structure of termite’s communities was estimated within habitats differing in the structure of their vegetation, soil characteristics, and the disturbance level caused by annual occurrences of bushfires. The effect of a set of environmental variables (habitat type, occurrence of annual bushfire, woody plant density, woody plant species richness, and soil physicochemical parameters) was tested on the habitat-specific recorded termite species. Sixty species of termites belonging to 19 genera, seven subfamilies and two families, namely Rhinotermitidae (Coptotermitinae and Rhinotermitinae) and Termitidae (Apicotermitinae, Cubitermitinae, Macrotermitinae, Nasutitermitinae, and Termitinae) were sampled. These species were assigned to the four feeding groups of termites: fungus growers (18 species), wood feeders (17 species), soil feeders (19 species) and the grass feeders (6 species). The highest diversity of termites was encountered in forest habitats, with 37 and 34, respectively, for the gallery forest and the forest island. Among savanna habitats, the woodland savanna was identified as the most diversified habitat with 32 recorded species, followed by the tree savanna (28 species) and the grassy savanna (17 species). The distribution of termite species and their respective feedings groups was determined by the habitat type and a set of environmental variables such as Woody Plant Diversity (WPD), Woody plant Families Diversity (WPFD), and Organic Carbon (OC). The annual Fire Occurrence (FO) was found to indirectly impact the characteristics of termite assemblages within natural habitats via their respective Herbaceous Species Richness (HSR) and Woody Plant Species Richness (WPSR). In summary, the spatial heterogeneity of the Comoe National Park, modeled by the uncontrolled annual bushfire, offers a diversified natural habitat with an important variety of termite-habitat-specific species, probably due to the food preference of these organisms and its relatively good conservation status. Full article
(This article belongs to the Special Issue Ecology of Termites)
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17 pages, 1696 KB  
Article
The Tragedy of Forestland Sustainability in Postcolonial Africa: Land Development, Cocoa, and Politics in Côte d’Ivoire
by Symphorien Ongolo, Sylvestre Kouamé Kouassi, Sadia Chérif and Lukas Giessen
Sustainability 2018, 10(12), 4611; https://doi.org/10.3390/su10124611 - 5 Dec 2018
Cited by 18 | Viewed by 6826
Abstract
Tropical countries are often blamed for not managing their natural resources sustainably. But what if overexploitation is inherent in political structures and policies—rooted in foreign colonial order—and is consistently detrimental in the contemporary use of forestlands? This article argues that post-colonial land development [...] Read more.
Tropical countries are often blamed for not managing their natural resources sustainably. But what if overexploitation is inherent in political structures and policies—rooted in foreign colonial order—and is consistently detrimental in the contemporary use of forestlands? This article argues that post-colonial land development policies and related political interests seriously impede the sustainability of forest ecosystems in Côte d’Ivoire. Methodologically, the study builds on a historic contextualisation of forestland use policies in Sub-Saharan Africa, with Côte d’Ivoire serving as a case study. The results indicate that the increasing development of so-called rent crops clearly follows the historical dynamics of ‘land grabbing’ and a post-colonial agrarian model. This situation benefits agribusiness entrepreneurs and, more recently, sustainability standards. The study discusses the findings based on recent literature and empirical evidence. In conclusion, the post-colonial heritage and the manipulation of the related patterns by elites and policy-makers largely explains the present-day unsustainable forestland conversions in Côte d’Ivoire. Full article
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