Ecosystem services and biodiversity trends in Mozambique as a consequence of land cover change

The impact of land cover change on the carbon stock of moist afromontane forests in the Majang Forest Biosphere Reserve

BACKGORUND

Forest plays an important role in the global carbon cycle by sequestering carbon dioxide and thereby mitigating climate change. In this study, an attempt was made to investigate the effects of land use/land cover (LULC) change (1989-2017) on carbon stock and its economic values in tropical moist Afromontane forests of the Majang Forest Biosphere Reserve (MFBR), south-west Ethiopia. Systematic sampling was conducted to collect biomass and soil data from 140 plots in MFBR. The soil data were collected from grassland and farmland. InVEST modelling was employed to investigate the spatial and temporal distribution of carbon stocks. Global Voluntary Market Price (GVMP) and Tropical Economics of Ecosystems and Biodiversity (TEEB) analysis was performed to estimate economic values (EV) of carbon stock dynamics. Correlation and regression analyses were also employed to identify the relationship between environmental and anthropogenic impacts on carbon stocks.

RESULTS

The results indicated that the above-ground carbon and soil organic carbon stocks were higher than the other remaining carbon pools in MFBR. The mean carbon stock (32.59 M tonne) in 2017 was lower than in 1989 (34.76 Mt) of MFBR. Similarly, the EV of carbon stock in 2017 was lower than in 1989. Elevation, slope, and harvesting index are important environmental and disturbance factors resulting in major differences in carbon stock among study sites in MFBR.

CONCLUSIONS

Therefore, the gradual reduction of carbon stocks in connection with LULC change calls for urgent attention to implement successful conservation and sustainable use of forest resources in biosphere reserves.

Mining-induced changes in ecosystem services value and implications of their economic and relational cost in a mining landscape, Ghana

The surge in mining operations to meet the global demand for mineral resources adversely impacts ecosystem services and dependent households, but the issue barely attracts attention. This study evaluated the dynamics of mining-induced changes in the value of ecosystem services (ES) and the consequent economic and relational cost to rural households in the Ahafo region of Ghana. Face-to-face structured interviews with 200 householders were conducted in three mining communities. We determined relational values in the landscape through focus group discussion and the economic cost of the ecosystem services lost by applying replacement and contingency cost estimations. Old-growth forests, degraded forests, teak plantations, cultivated land, wetlands, and grassland were ecosystems identified in the mining landscape. The most valued ecosystem was old-growth forest, while the least was grassland. Provisioning service was the most valued ES, while supporting service was the least. Provisioning ES was rated the most impacted by the mine, whereas cultural services were the least affected. Mining activities caused a significant loss of 14 ecosystem services (including crops, livestock, capture fisheries, wild food, bush meat, biomass fuel, and freshwater) that were of priority to the communities. The affected households experienced relatively high monthly economic costs, approximating $300 per household, from the loss of priority ecosystem services. Canonical correspondence analysis revealed connections between ecosystem services valuation and the socio-demographic characteristics of the respondents. There was a perceived mine-adverse effect on the relational values of the people relating to cultural identity, sovereignty, symbolic value, security, subsistence and livelihood, sense of place, social cohesion, social memory, female emotional/mental health, and womanhood training opportunities. Actors in the mining industry should consider policies and management interventions that will limit ecosystem services loss, widely ascertain ecosystem benefits, and comprehensively mitigate the impact of their loss on households.

Local People's perception of forest ecosystem services, traditional conservation, and management approaches in North Wollo, Ethiopia

For their livelihoods, many people rely on the services offered by forest ecosystems. Nevertheless, forests are being lost and degraded on a global scale, endangering the delivery of important services. This is the situation in Ethiopia, a nation where land degradation and deforestation pose a threat to the majority of forest ecosystems. Studies in North Wollo are very scarce and limited despite the present growth in evidence bases measuring environmental services and risks across the globe. The traditional knowledge and attitudes of the locals concerning trends in forest management, conservation, and ecosystem services were investigated in this study. We used many approaches for gathering data. The quantitative data were analyzed and interpreted using descriptive statistics, one-way ANOVA, multiple linear regression, and general linear regression models. The main threats to forest ecosystems in North Wollo included deforestation for the production of firewood and charcoal, increased population growth and agricultural needs, environmental pollution, the allelopathic influence of exotic species, and loss of soil fertility. These dangers cause instability and a decline in the range of ecological services provided by forests. Regarding this, the customary rules, social exclusion, and indigenous beliefs were utilized as a conservation technique to maintain and protect the remaining natural resources. In addition, the community uses terracing, gully prevention, and hillside planting with native trees to restore the ecology that has been damaged. As a result, efforts should be made to solve the current difficulties and dangers since local people, the government and non-governmental organizations have an interest in preserving forest ecosystems. In general, encouraging the direct involvement of locals in decision-making and equitable distribution of the benefits resulting from the ecosystems could aid in addressing the difficulties and risks to the ecosystems.

Ecological consequences of urban blue space transformation

This study presents the ecological consequences of the blue space conversion and its qualitative degradation in the English Bazar Municipality (EBM) and its surrounding area. The primary blue spaces of the area, the marshy wetland called Chatra and Mohananda river, are the most affected due to urban activities like built-up expansion and sewage and wastewater discharge. Built-up development encroached more than 300 m within wetland territory and caused a 0.57 km² conversion of wetland area. It is also evident within the bed of the Mohananda river. Agriculture also caused the conversion of the blue space. As a result, the wetland's ecosystem service value (ESV) was reduced by 12.7%, along with a reduction of cultural services by 27.86%. The massive pouring of sewage and wastewater caused hyper-eutrophication in almost the entire wetland area. The trophic state index (TSI) value increased significantly in the last 10 years, causing high growth and areal expansion of water hyacinth. The expanding settlements and agricultural land that captured the river channel face inundation vulnerability during peak discharge. Extreme danger level discharge causes floods in the extensive municipality area. The areal encroachment, water extraction, sewage and wastewater discharge, and water quality deterioration caused severe hydro-ecological degradation of the river. Since blue space is critically essential for urban environmental health, these ecological consequences can cause a crisis for urban wellbeing. Therefore, the anthropogenic adversities towards the urban blue space must be restricted, and the blue space's ecological sustenance must be paid enough attention.

Exploring the nexus between land use land cover (LULC) changes and population growth in a planned city of islamabad and unplanned city of Rawalpindi, Pakistan

For the last three decades, Islamabad - a planned city, and Rawalpindi - an unplanned city, have experienced massive land use and land cover changes. The main objective of this study was a comparative assessment and quantification of LULC changes in relation to population growth and urbanization from 1990 to 2021 with the help of satellite imagery and population data in planned and unplanned cities. For classification four land-use land cover classes: built-up, vegetation, bare land, and water were selected. Maximum likelihood algorithm and confusion matrix were employed for classification and accuracy assessment. Results revealed that built-up increased from 5.7% (52 km²) to 25.7% (233 km²) and 3.7% (60 km²) to 14.1% (228 km²) from 1990 to 2021 for Islamabad and Rawalpindi, respectively. Wherein the bare land decreased from 42.2% (382 km²) to 18.1% (164 km²) in Islamabad and 65.5% (1058 km²) to 32.1% (518 km²) in Rawalpindi. Vegetation showed an increment of 4.7% for Islamabad and 24.5% for Rawalpindi. Surface water bodies decreased in both study areas. Population growth showed a strong positive correlation with the built-up class and a strong negative correlation with the bare land class for both cities. The outcomes of this study may be helpful in policymaking for better planning and management of land use land cover and urban sprawl in the context of sustainable development goals.

Analysis of land cover dynamics in Mozambique (2001–2016)

Land cover change (LCC) is a complex and dynamic process influenced by social, economic, and biophysical factors that can cause significant impacts on ecological processes and biodiversity conservation. The assessment of LCC is particularly relevant in a country like Mozambique where livelihood strongly depends on natural resources. In this study, LCC was assessed using a point-based sampling approach through Open Foris Collect Earth (CE), a free and open-source software for land assessment developed by the Food and Agriculture Organization of the United Nations. This study aimed to conduct an LCC assessment using CE for the entire Mozambique, and according to three different land classifications: administrative boundaries (provinces), ecoregions, and protected vs unprotected areas. A set of 23,938 randomly selected plots, with an area of 0.5 hectares, placed on a 4 × 4 km regular grid over the entire country, was assessed using CE. The analysis showed that Mozambique has gone through significant loss of forest (− 1.3 Mha) mainly to the conversion to cropland. Deforestation is not occurring evenly throughout the country with some provinces, such as Nampula and Zambezia, characterized by higher rates than others, such as Gaza and Niassa. This result can be explained considering a combination of ecological and socio-economic factors, as well as the conservative role played by the protected areas. Our study confirmed that LCC is a complex phenomenon, and the augmented visual interpretation methodology can effectively complement and integrate the LCC analyses conducted using the traditional wall-to-wall mapping to support national land assessment and forest inventories and provide training data for environmental modeling.

Utilizing Marine Cultural Heritage for the Preservation of Coastal Systems in East Africa

This paper presents the key contributions of marine cultural heritage to the survival of coastal ecosystems and the communities that rely on them in East Africa. Marine cultural heritage (MCH) describes the evidence of past human interactions with coastal and marine space, encompassing tangible material culture remains and associated intangible cultural expressions within coastal communities. By incorporating the protection of MCH into local and regional environmental frameworks, we gain an essential indicator to monitor change dynamics in natural habitats, the cumulative impacts of climate change, and the development of social adaptation strategies. An essential aspect of this development is the move away from global sustainability strategies towards community-centric management and stewardship. Such processes utilise a combination of traditional knowledge systems and scientific approaches designed to harness targeted economic, ecological, and social sustainable development. To argue for the incorporation of MCH into local and regional environmental frameworks in the area, this paper presents four case studies from the Rising from the Depths Network, a challenge-led research network focusing on harnessing the potential of MCH to bring sustainable development strategies to East Africa.

Methane emissions only negligibly reduce the ecosystem service value of wetlands and rice paddies in the mature Ganges Delta

Wetland provides a wide range of ecosystem services with immense value. However, methane (CH₄) emissions adversely affect ecosystem services, and it requires fixation cost. The objective of the present study was to estimate CH₄ emissions and ecosystem services value (ESV) and how much the fixation cost of CH₄ reduces the ESV. Since rice cultivation is a very common practice here, the paddy fields were also incorporated in this study. CH₄ flux and satellite data were employed for estimating the emissions with the help of two-factor (temperature and water availability) model. Global coefficients of ecosystem service value (ESV) that is defined as the monetary valuation of materialistic and non-materialistic services were adapted for estimating the ecosystem service of the CH₄ emitting sources. Results show that during the boro season (pre-monsoon summer paddy cultivation season), average monthly emissions of paddy fields are equal to the wetlands which are 0.16 t/km². During amon season (monsoon paddy cultivation season), this emissions is 0.7 t/km² and 0.53 t/km², respectively, from wetlands and paddy fields. Both wetlands and paddy fields emit a greater amount of CH₄ during amon season than boro season. Behind this seasonal variation, water availability in terms of precipitation-evaporation ratio plays a more vital role than temperature. Total estimated ESV is 928.51 million US$, and CH₄ fixation cost is 6.64 million US$ which is only 0.71% to total ESV. So, considering such huge net ESV, emphasis on wetland conservation and restoration are necessary.

Expressing carbon storage in economic terms: The case of the upper Omo Gibe Basin in Ethiopia

Terrestrial carbon storage is important for planning decisions regarding climate change. Therefore, modelling the spatial distribution of carbon storage and valuation can help restore the sustainability of the ecosystems. This study aimed at showing the spatial and temporal variations in carbon storage and valuation in the upper Omo Gibe Basin. Land use/cover and carbon pool data based on field data collection and laboratory analyses supported by GIS and remote sensing were used. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) software was used for modelling carbon storage. The Global voluntary carbon market price and Tropical Economics of Ecosystems and Biodiversity (TEEB) data were used for describing carbon storage in economic terms. ANOVA was carried out to detect significant differences in carbon stock correlation with parameters. The results show that the annual carbon stock declined by 0.37 t/ha and the carbon market declined from USD 25.04 billion in 1988 to USD 24.01 billion in 2018. The highest loss of carbon storage and valuation was found in forest land followed by grazing land. Moreover, carbon stock was positively correlated with NDVI and habitat quality (p < 0.05). Slopes did not affect carbon stock (p > 0.05). This study helps promote and enhance carbon trading.

Climate Change in Fisheries and Aquaculture: Analysis of the Impact Caused by Idai and Kenneth Cyclones in Mozambique

Fisheries and Aquaculture are among the most popular activities in coastal regions of the world. In addition, both correspond to high-risk activities within a climate change context as they are vulnerable to environmental changes that threaten the socio-economic sustainability of the fishing communities that depend on fish for food security and income generation. In 2019, the central part of Mozambique was hit by two unprecedented cyclones: Idai and Kenneth that killed over 600 people and left nearly 2.2 million people in need of urgent assistance. The aim of the present study was to investigate the impacts these cyclones had on fisheries and aquaculture in the provinces of Sofala and Zambézia in Mozambique. The study further seeks to propose strategies that could be adopted by the communities to minimize the risks in the future. For the construction of the database, both secondary and primary data collection approaches were used to characterize the cyclone events. Secondary data was collected through sector reports and previously published articles, while primary data was collected through interviews with fishers, sector employees, and aquaculture producers in the affected provinces. The results revealed that these natural events had both a direct and indirect impact on fishing, as they affected more than 1,440 fishermen that lost 590 vessels, 1,800 fishing gear, and 67 boat engines in Sofala province. In Zambézia province, aquaculture producers lost 169 fish ponds, two cages, and 606,000 lost fry, while in Sofala province, 58 fish tanks, 204 cages, and 257,500 fish fry were lost. Overall, our study reveals the vulnerability of fisheries and aquaculture to extreme events particularly the cyclones in Mozambique. Lack of knowledge regarding climate change, advanced preventive measures, and poor adaptive capacity makes the sectors more vulnerable to disasters. Therefore, it is recommended to improve awareness programs, introduce measures and policies that promote resilience and optimum adaptive efficiency.

Future land-use changes and its impacts on terrestrial ecosystem services: A review

Terrestrial ecosystem services (ES) are vulnerable to land use and land cover changes (LULCC). These changes are triggered by different drivers of change (e.g., economic, social, political, environmental - climate change). Understanding the potential future LULCC is an effective way to anticipate the impacts on ES supply. In recent years, some researchers applied different spatial modelling methods to assess the potential LULCC future impacts on ES supply, but so far, no systematic review was carried out. This work aims to do a bibliographic review about future LULCC and their implications on ES supply (provisioning, regulating, and cultural services). After a rigorous bibliographic review, we identified 957 papers. However, only 79 papers meet the criteria to be used in the review. The results showed that (i) the studies have been mainly focused on Asia (55.70%) and Europe (17,72%); (ii) the most common and extensively used models to project future LULCC were cellular automata (30.86%), CLUE-S model (8.64%) and Land Change Modeler (8.64%); and (iii) the most used methods to assess future impacts on ES were the InVEST model (24.04%), and equations used in previous works (12.5%). These studies were mainly focused on measuring future impacts on provisioning (44.11%) and regulating services (43.59%). Also, most of the works lack external validation. The diversity of studies evaluated allowed to recognise gaps and outline insights into the current scientific research on this scientific domain, representing an essential contribution to the current state of knowledge by supporting both practitioners and scientists.

Impact of land use/land cover dynamics on ecosystem service value-a case from Lake Malombe, Southern Malawi

Lake Malombe ecosystem provides a vast range of services that are vital for the sustenance of the riparian communities. Understanding land use and land cover (LULC) dynamics, as well as the associated impacts on the multiple ecosystem service value (ESV), is extremely important in decision-making processes and effective implementation of an ecosystem-based management approach. This study analyzed the LULC dynamics from 1989 to 2019. The primary objective of the study was to assess its impact on ecosystem services (ES). The ESV was determined using LULC analysis and established global ESV coefficient. The LULC analysis showed a reduction in forest cover by 84.73% during the study period. Built-up, cultivated land, bare land, shrubs, and grassland increased considerably. Rapid population growth, climate change, government policy conflicts, and poverty were identified as the most important drivers of LULC dynamics. Based on ESVs estimations, the ES changes instigated by LULC dynamics in the study area result in an average loss of US$45.58 million during the study period. Within the same period, the lake fishery also recorded a net loss of US$8.63 million. The highest net loss of US$79.832 million was recorded from 1999 to 2019 due to increased loss of forest, a decrease in water bodies and marsh areas. The sensitivity analysis (CS) indicated that our estimates were relatively robust. This study findings provide a piece of empirical evidence that LULC dynamics in the Lake Malombe catchment have led to a significant loss of ESVs, with serious implications for the livelihoods of the local population.

Ecological Risk Assessment Based on Land Cover Changes: A Case of Zanzibar (Tanzania)

Land use and land cover (LULC) under improper land management is a major challenge in sub-Saharan Africa and has drastically affected ecological security. Addressing environmental impacts related to this challenge requires efficient planning strategies based on the measured information of land use patterns. This study assessed the ecological risk index (ERI) of Zanzibar based on LULC. A random forest classifier was used to classify three Landsat images of Zanzibar for the years 2003, 2009, and 2018. Then, a land change model was employed to simulate the LULC changes for 2027 under a business-as-usual (BAU), conservation, and extreme scenarios. Results showed that the built-up areas and farmland of Zanzibar Island have increased constantly, while the natural grassland and forest cover have decreased. The forest, agricultural, and grassland were highly fragmented into several small patches. The ERI of Zanzibar Island increased at a constant rate and, if the current trend continues, this index will increase by up to 8.9% in 2027 under an extreme scenario. If a conservation scenario is adopted, the ERI will increase by 4.6% whereas if a BAU policy is followed, this value will increase by 6.2%. This study provides authorities with useful information to understand better the ecological processes and LULC dynamics and prevent unmanaged growth and haphazard development of informal housing and infrastructure.

Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition

Land cover information plays a vital role in many aspects of life, from scientific and economic to political. Accurate information about land cover affects the accuracy of all subsequent applications, therefore accurate and timely land cover information is in high demand. In land cover classification studies over the past decade, higher accuracies were produced when using time series satellite images than when using single date images. Recently, the availability of the Google Earth Engine (GEE), a cloud-based computing platform, has gained the attention of remote sensing based applications where temporal aggregation methods derived from time series images are widely applied (i.e., the use the metrics such as mean or median), instead of time series images. In GEE, many studies simply select as many images as possible to fill gaps without concerning how different year/season images might affect the classification accuracy. This study aims to analyze the effect of different composition methods, as well as different input images, on the classification results. We use Landsat 8 surface reflectance (L8sr) data with eight different combination strategies to produce and evaluate land cover maps for a study area in Mongolia. We implemented the experiment on the GEE platform with a widely applied algorithm, the Random Forest (RF) classifier. Our results show that all the eight datasets produced moderately to highly accurate land cover maps, with overall accuracy over 84.31%. Among the eight datasets, two time series datasets of summer scenes (images from 1 June to 30 September) produced the highest accuracy (89.80% and 89.70%), followed by the median composite of the same input images (88.74%). The difference between these three classifications was not significant based on the McNemar test (p > 0.05). However, significant difference (p < 0.05) was observed for all other pairs involving one of these three datasets. The results indicate that temporal aggregation (e.g., median) is a promising method, which not only significantly reduces data volume (resulting in an easier and faster analysis) but also produces an equally high accuracy as time series data. The spatial consistency among the classification results was relatively low compared to the general high accuracy, showing that the selection of the dataset used in any classification on GEE is an important and crucial step, because the input images for the composition play an essential role in land cover classification, particularly with snowy, cloudy and expansive areas like Mongolia.

Mapping Knowledge Gaps of Mozambique's Terrestrial Mammals

A valuable strategy to support conservation planning is to assess knowledge gaps regarding primary species occurrence data to identify and select areas for future biodiversity surveys. Currently, increasing accessibility to these data allows a cost-effective method for boosting knowledge about a country’s biodiversity. For understudied countries where the lack of resources for conservation is more pronounced to resort to primary biodiversity data can be especially beneficial. Here, using a primary species occurrence dataset, we assessed and mapped Mozambique’s knowledge gaps regarding terrestrial mammal species by identifying areas that are geographically distant and environmentally different from well-known sites. By comparing gaps from old and recent primary species occurrence data, we identified: (i) gaps of knowledge over time, (ii) the lesser-known taxa, and (iii) areas with potential for spatiotemporal studies. Our results show that the inventory of Mozambique’s mammal fauna is near-complete in less than 5% of the territory, with broad areas of the country poorly sampled or not sampled at all. The knowledge gap areas are mostly associated with two ecoregions. The provinces lacking documentation coincide with areas over-explored for natural resources, and many such sites may never be documented. It is our understanding that by prioritising the survey of the knowledge-gap areas will likely produce new records for the country and, continuing the study of the well-known regions will guarantee their potential use for spatiotemporal studies. The implemented approach to assess the knowledge gaps from primary species occurrence data proved to be a powerful strategy to generate information that is essential to species conservation and management plan. However, we are aware that the impact of digital and openly available data depends mostly on its completeness and accuracy, and thus we encourage action from the scientific community and government authorities to support and promote data mobilisation.

Implications of land use/land cover dynamics and Prosopis invasion on ecosystem service values in Afar Region, Ethiopia

Land use/land cover (LULC) dynamics and the resulting changes in ecosystems, as well as the services they provide, are a consequence of human activities and environmental drivers, such as invasive alien plant species. This study assessed the changes in LULC and ecosystem service values (ESVs) in the Afar National Regional State, Ethiopia, which experiences a rapid invasion by the alien tree Prosopis juliflora (Swartz DC). Landsat satellite data of 1986, 2000 and 2017 were used in Random Forest algorithm to assess LULC changes in the last 31 years, to calculate net changes for different LULC types and the associated changes in ESVs. Kappa accuracies of 88% and higher were obtained for the three LULC classifications. Post-classification change analyses for the period between 1986 and 2017 revealed a positive net change for Prosopis invaded areas, cropland, salt flats, settlements and waterbodies. The rate of Prosopis invasion was estimated at 31,127 ha per year. Negative net changes were found for grassland, bareland, bush-shrub-woodland, and natural forests. According to the local community representatives, the four most important drivers of LULC dynamics were climate change, frequent droughts, invasive species and weak traditional law. Based on two different ESVs estimations, the ecosystem changes caused by LULC changes resulted in an average loss of ESVs in the study area of about US$ 602 million (range US$ 112 to 1091 million) over the last 31 years. With an increase in area by 965,000 ha, Prosopis-invaded land was the highest net change during the study period, followed by grassland (-599,000 ha), bareland (-329,000 ha) and bush-shrub-woodland (-327,000 ha). Our study provides evidence that LULC changes in the Afar Region have led to a significant loss in ESVs, with serious consequences for the livelihoods of the rural people.

Human modified landscape structure and its implication on ecosystem services at Guder watershed in Ethiopia

We investigated the impacts of landscape structure changes on ecosystem services for Guder watershed. We first analyzed remotely sensed data of four decades (1973-2015). The raster data sets of land uses were used as an input in FRAGSTAT to analyze the magnitude of fragmentation. Furthermore, the locally modified ecosystem service values to estimate the ESVs for the watershed were used. Results indicated that grasslands, shrub land, and forest lands reduced by 83.5%, 48.5%, and 37.5%, whereas the corresponding increase was recorded for settlement and cultivated land by 572.2% and 7.1%. Fragmentation analysis showed an increase in class area (CA) for cultivated land and settlement, whereas number of patches (NP) rose for forest land, shrub land, grassland, settlement, and cultivated land signifying the extent of fragmentation. The overall ESVs of the watershed decreased due to the changes in landscape structure. We recommend the need to take in to account landscape-level watershed conservation to enhance ecosystem services.

JAXA High-Resolution Land Use/Land Cover Map for Central Vietnam in 2007 and 2017

Robust remote monitoring of land cover changes is essential for a range of studies such as climate modeling, ecosystems, and environmental protection. However, since each satellite data has its own effective features, it is difficult to obtain high accuracy land cover products derived from a single satellite’s data, perhaps because of cloud cover, suboptimal acquisition schedules, and the restriction of data accessibility. In this study, we integrated Landsat 5, 7, and 8, Sentinel-2, Advanced Land Observing Satellite Advanced Visual, and Near Infrared Radiometer type 2 (ALOS/AVNIR-2), ALOS Phased Array L-band Synthetic Aperture Radar (PALSAR) Mosaic, ALOS-2/PALSAR-2 Mosaic, Shuttle Radar Topography Mission (SRTM), and ancillary data, using kernel density estimation to map and analyze land use/cover change (LUCC) over Central Vietnam from 2007 to 2017. The region was classified into nine categories, i.e., water, urban, rice paddy, upland crops, grassland, orchard, forest, mangrove, and bare land by an automatic model which was trained and tested by 98,000 reference data collected from field surveys and visual interpretations. Results were the 2007 and 2017 classified maps with the same spatial resolutions of 10 m and the overall accuracies of 90.5% and 90.6%, respectively. They indicated that Central Vietnam experienced an extensive change in land cover (33 ± 18% of the total area) during the study period. Gross gains in forests (2680 km2) and water bodies (570 km2) were primarily from conversion of orchards, paddy fields, and crops. Total losses in bare land (495 km2) and paddy (485 km2) were largely to due transformation to croplands and urban & other infrastructure lands. In addition, the results demonstrated that using global land cover products for specific applications is impaired because of uncertainties and inconsistencies. These findings are essential for the development of resource management strategy and environmental studies.