Evaluation of tropical coastal land cover and land use changes and their impacts on ecosystem service values

Ligate, Elly Josephat; Chen, Can; Wu, Chengzhen

doi:10.1080/20964129.2018.1512839

Cited by 22 publications

(19 citation statements)

References 52 publications

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“…Once external disturbance exceeds an acceptable level, ecosystems are vulnerable and can even disintegrate and no longer provide sufficient benefits (Feng-jin & Hua, 2002;Yu et al, 2013). Land is a complex dynamic system developing and evolving under the influence of long-term interactions between nature and human activity (Lambin et al, 2003(Lambin et al, , 2001, and land use changes are a direct result of human activity, affecting ecological systems and services (Gashaw et al, 2018;Khaledian et al, 2016;Ligate et al, 2018;Mohawesh et al, 2015;Yu et al, 2015). As a consequence, reasonable development and utilization of land is vital to the sustainable development of ecosystems, and it is essential to study the impact of land use changes on ecosystem services including their underlying ecological mechanisms (Daniel et al, 2015;Sherrouse et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Global Spatio‐Temporal Assessment of Changes in Multiple Ecosystem Services Under Four IPCC SRES Land‐use Scenarios

Sun

Shi

2020

Earth's Future

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Social development and technological advancement have led to land use changes, influencing the structure of ecosystem services and severely impacting ecological balance. This study spatially and quantitatively assesses the effects of land-use changes on ecosystem services based on the fourth assessment report of the Intergovernmental Panel on Climate Change (IPCC) and using the Integrated Valuation of Ecosystem Services and Tradeoff (InVEST) model. This model, applied on a global scale, was used to quantify the changes in three ecosystem services, namely, carbon storage, water yield, and sediment retention, 2010 and 2100 under four land use scenarios (A1B, A2, B1, and B2) and to evaluate the impact of land use changes to these services. The results indicate that (1) sediment retention and carbon storage under scenario B1 increase more than under other scenarios, with average global increases of 175.74 t/km 2 and 913.60 Mg/km 2 , respectively; water yield increase only under scenario A2 between 2010 and 2100, with average global increase of 3.51 mm; (2) forest and grassland are the principal land types providing three ecosystem services globally, and decreasing the area of barren contributes to increases in three ecosystem services; and (3) when barren is converted to forest, grassland, cropland, and urban, ecosystem services all increase, strengthening the utilization of barren land can increase ecosystem services greatly. This study provides a reference for further research and the sustainable development of ecosystem services. Plain Language Summary Analyzing the effects of land use changes on ecosystem services on a global scale is vital for the promotion of the sustainable development of ecosystems, especially in little-studied areas. Many studies have mapped and analyzed ecosystem services, but most have considered only local regions. There is no global research on this subject using IPCC SRES scenarios. This study aims to predict how different development scenarios (A1B, A2, B1, and B2) affect land use changes and to analyze the impact of corresponding land use changes on the ecosystem services of carbon storage, water yield, and sediment retention from a global perspective. We found that sediment retention and carbon storage under scenario B1 increased more than under other scenarios, with average global increases of 175.74 t/km 2 and 913.60 Mg/km 2 , respectively; water yield increased only under scenario A2 between 2010 and 2100, with average global increase of 3.51 mm, when forest, grassland, cropland, and urban were converted to barren, all three ecosystem services increased, strengthening the utilization of barren land increased ecosystem services greatly.

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Section: Introductionmentioning

confidence: 99%

Global Spatio‐Temporal Assessment of Changes in Multiple Ecosystem Services Under Four IPCC SRES Land‐use Scenarios

Sun

Shi

2020

Earth's Future

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“…These points were overlaid on top of the Google Earth satellite images, and the LULC type of each point was validated using the Google Earth images temporally around the Globe Land 30′s production year. The LULC datasets for each year were used as proxies for the measurement of the ESV, and the corresponding area in hectares was assessed and presented in a raster in the GIS [ 33 ].…”

Section: Methodsmentioning

confidence: 99%

“…The land-use intensity was evaluated via the equation below: I = ∑ (L i P i ) × 100% where Ⅰ is the land-use intensity comprehensive index of the study area related to human activity, L i is the level or stages index of land-use intensity of LULC type i, and P i is the quantity of the LULC type. With reference to Cao, Li et al [ 24 , 33 ], considering the current characteristics of land-use management in the study area, and according to the natural balance of land under the influence of social factors, specifically based on the degree of human disturbances in our study area which may differently affect various land types, the comprehensive index of land-use intensity has been divided into five levels ( Table 2 ).…”

Section: Methodsmentioning

confidence: 99%

Tropical Coastal Land-Use and Land Cover Changes Impact on Ecosystem Service Value during Rapid Urbanization of Benin, West Africa

Tiando

Fan

et al. 2021

IJERPH

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West African coastal areas including the Beninese coastal zones have undergone an intensification of socio-economic activity in the last few decades that has been strongly driven by the effects of rapid urbanization. This has led to land-use and land cover changes that represent threats to the sustainability of various ecosystem functions. Such dynamics of land use and land cover changes pose challenges to coastal zone management. Correct assessment is vital for policymakers and planners to ensure efficient and sustainable use of the coastal ecosystem services, and it remains crucial to achieving sustainable coastal zone management. This study examines changes in land-use and land cover (LULC) and their impacts on ecosystem services value (ESV) fluctuations in the tropical coastal region of Benin, West Africa. We employed Globe Land 30 image data for the years 2010 and 2020, and the ESV fluctuations during the study period were evaluated using the benefit transfer approach (BTA) with corresponding local coefficients values and the GIS techniques. The results reveal that (1) in the current urbanizing coastal area, the LULC types have changed significantly, with obvious reductions in forest land and waterbodies and a considerable increase in artificial surfaces; (2) the total ESV decreased by 8.51% from USD 7.1557 million in 2010 to USD 6.5941 million in 2020; (3) the intensity of LULC in the coastal region has increased over the last 10 years; (4) regions with high land-use intensity have a high rate of ESV change; and (5) provisioning services are the greatest contributors of ESV (51% in 2010; 41% in 2020), followed by supporting services (37% in 2010; 35% in 2020) and regulating services (25% in 2010; 30% in 2020). Uncontrolled changes in LULC from forest land and waterbodies are the main causes of the loss in total ESV, necessitating urgent measures to improve the coastal ecosystem sustainability through effective planning and policies.

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“…Several studies have applied remote sensing data and GIS techniques to provide information of land use transformation and degradation. To track deforestation, changes in cultivation, ecosystem and land use transformation patterns, airborne and satellite remote sensing are very precise and useful (Fu et al 2013;Ligate, Chen, and Wu 2018;Nzunda and Midtgaard 2019). Combining them with socioeconomic surveys, social sensing data, censuses, and other biophysical information collection methods have brought an improved understanding of land cover and use patterns and change detection as well as the factors driving these changes (Huang, Wang, and Li 2018).…”

Section: Introductionmentioning

confidence: 99%

Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data

Shao

Sumari

Portnov

et al. 2020

Geo-spatial Information Science

174

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Urbanization is one of the most impactful human activities across the world today affecting the quality of urban life and its sustainable development. Urbanization in Africa is occurring at an unprecedented rate and it threatens the attainment of Sustainable Development Goals (SDGs). Urban sprawl has resulted in unsustainable urban development patterns from social, environmental, and economic perspectives. This study is among the first examples of research in Africa to combine remote sensing data with social media data to determine urban sprawl from 2011 to 2017 in Morogoro urban municipality, Tanzania. Random Forest (RF) method was applied to accomplish imagery classification and location-based social media (Twitter usage) data were obtained through a Twitter Application Programming Interface (API). Morogoro urban municipality was classified into built-up, vegetation, agriculture, and water land cover classes while the classification results were validated by the generation of 480 random points. Using the Kernel function, the study measured the location of Twitter users within a 1 km buffer from the center of the city. The results indicate that, expansion of the city (built-up land use), which is primarily driven by population expansion, has negative impacts on ecosystem services because pristine grasslands and forests which provide essential ecosystem services such as carbon sequestration and support for biodiversity have been replaced by built-up land cover. In addition, social media usage data suggest that there is the concentration of Twitter usage within the city center while Twitter usage declines away from the city center with significant spatial and numerical increase in Twitter usage in the study area. The outcome of the study suggests that the combination of remote sensing, social sensing, and population data were useful as a proxy/inference for interpreting urban sprawl and status of access to urban services and infrastructure in Morogoro, and Africa city where data for urban planning is often unavailable, inaccurate, or stale.

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Evaluation of tropical coastal land cover and land use changes and their impacts on ecosystem service values

Cited by 22 publications

References 52 publications

Global Spatio‐Temporal Assessment of Changes in Multiple Ecosystem Services Under Four IPCC SRES Land‐use Scenarios

Global Spatio‐Temporal Assessment of Changes in Multiple Ecosystem Services Under Four IPCC SRES Land‐use Scenarios

Tropical Coastal Land-Use and Land Cover Changes Impact on Ecosystem Service Value during Rapid Urbanization of Benin, West Africa

Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data

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