Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern China

Kayumba, Patient Mindje; Chen, Yaning; Mind’je, Richard; Mindje, Mapendo; Li, Xiaoyang; Maniraho, Albert Poponi; Umugwaneza, Adeline; Uwamahoro, Solange

doi:10.1007/s10980-021-01240-8

Cited by 20 publications

(14 citation statements)

References 66 publications

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“…Generally, as displayed by Figure S1 in the supporting material, surfaces with high albedo (concrete desert surface) dissipated low energy while those with low albedo (T. grasslands-wetlands) dissipated a large amount of energy. Consistent with recent studies [73,74], vegetated wetland surfaces with an ample water supply were detected to have a high evaporative fraction compared to other vegetation covers, and Sun, Wei [75] also estimated the evapotranspiration in the Nansi Lake wetland of China and realized the evaporation to be greatly pronounced across swamps than other vegetated surfaces. Likewise, Liljedahl, Hinzman [76] assessed the nonlinear curbs on ET in artic coastal wetlands by closing that there is a resistance in the hydrological system that controls soil drying in coastal Arctic wetlands.…”

Section: Near-surface Energies Fluxes Partition Across Yanqi Canopy Densitysupporting

confidence: 84%

“…Particularly, vegetation cover contributed to the modification of energy fluxes by greatly intensifying the ET (LE) from vegetation to soil patches. Largely, this phenomenon is reported by Kayumba, Chen [73], and Yamazaki, Yabuki [74] who discussed that the high ratio of LE/Rn depicted in temperate grasslands and wetlands can further be elucidated by the high moisture availability and low surface confrontation to evaporation. The vegetation dynamics produced a divergence in the net radiation, most likely due to the high reflectance of leaves present in temperate grassland and wetlands.…”

Section: Near-surface Energies Fluxes Partition Across Yanqi Canopy Densitymentioning

confidence: 77%

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Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China

et al. 2021

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The Yanqi basin is the main irrigated and active agroecosystem in semi-arid Xinjiang, northwestern China, which further seeks responses to the profound local water-related drawbacks in relation to the unceasing landscape desiccation and scant precipitation. Yet, it comes as an astonishment that a few reported near-surface items and water vapor fluxes as so far required for water resources decision support, particularly in a scarce observation data region. As a contributive effort, here we adjusted the sensible heat flux (H) calibration mechanism of Surface Energy Balance Algorithm for Land (SEBAL) to high-resolution satellite dataset coupled with in-situ observation, through a wise guided “anchor” pixel assortment from surface reflectance-α, Leaf area index-LAI, vegetation index-NDVI, and surface temperature () to model the robustness of energy fluxes and Evapotranspiration-ETa over the basin. Results reasonably reflected ETa which returned low RMSE (0.6 mm), MAE (0.48 mm) compared to in-situ recordings, indicating the competence of SEBAL to predict vapor fluxes in this region. The adjustment unveiled the estimates of the land-use contribution to evapotranspiration with an average ranging from 3 to 4.69 mm, reaching a maximum of 5.5 mm. Furthermore, findings showed a high striking energy dissipation (LE/Rn) across grasslands and wetlands. The vegetated surfaces with a great evaporative fraction were associated with the highest LE/Rn (70–90%), and water bodies varying between 20% and 60%, while the desert ecosystem dissipated the least energy with a low evaporative fraction. Still, besides high portrayed evaporation in water, grasslands and wetlands varied interchangeably in accounting for the highest ETa followed by cropland. Finally, a substantial nexus between available energy (Rn-G) and ETa informed the available energy, influenced by NDVI to be the primary driver of these oases’ transpiration. This study provides essentials of near-surface energy fluxes and the likelihood of ETa with considerable baseline inferences for Yanqi that may be beneficial for long-term investigations that will attend in agrometeorological services and sustainable management of water resources in semi-arid regions.

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Section: Near-surface Energies Fluxes Partition Across Yanqi Canopy Densitysupporting

confidence: 84%

Section: Near-surface Energies Fluxes Partition Across Yanqi Canopy Densitymentioning

confidence: 77%

Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China

et al. 2021

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“…6. Elevation Since most human disturbance activities are within low-altitude areas, regional ecological risk level decreases as the elevation increases (Kayumba et al 2021), because temperature drops with increasing elevation. ArcGIS10.2 is used to divide the elevation range from 400 to 1900 m into five grades with the interval of 300 m. 7.…”

Section: Landscape Dominancementioning

confidence: 99%

Ecotourism risk assessment in Yaoluoping Nature Reserve, Anhui, China based on GIS

Tang

et al. 2022

Environ Earth Sci

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As tourism development and human disturbance increase, they have been affecting the functional structure distribution, sustainable utilization of resources, and ecological benefits of nature reserves. At the same time, ecological risk has increased significantly. This study proposes ecotourism development patterns for risk areas at each level, to provide a basis for stabilizing and promoting the ecological sustainable development of nature reserves. Yaoluoping National Nature Reserve in China is used as a study case. Based on GaoFen-2 satellite data within the reserve area in 2017, ENVI, Fragstats and ArcGIS10.2 are used for land use classification as well as evaluation indicators selection and analysis. The ecotourism risk assessment model of the reserve is constructed, which is also imbedded with analytic hierarchy process and Ecological Risk Index. The model consists of landscape ecology, topographic hydrology, land use and human activities factors, and it can produce the distribution map at the ecotourism risk level of the reserve. Results show that the high ecotourism risk areas in the reserve are mainly located around rivers and roads, and they are distributed in strips. Overall, the ecotourism risk level in the northern part of the reserve is higher than that in the southern part. Nearly 90% of the regional ecotourism risk is at the middle or low level, implying the reserve in a healthy level overall. However, except for low-risk areas, the proportion of risk areas at all levels in the core zone is higher than that in the buffer zone.

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Section: Data and Preprocessingmentioning

confidence: 99%

“…The Landsat 7 ETM+ and Landsat 8 OLI-TIRS images (30 m × 30 m, WRS path 172 and rows 61) products were acquired from the United States Geological Survey (USGS) EROS data center. These images were pre-processed for radiometric and atmospheric rectification [32] and then used for calculating the vegetation index, as well as LULC classification using a supervised maximum classification algorithm supported by expert judgment and ground truth observation. The main land-cover classes were water bodies, forest, grassland, cropland, wetland and settlements.…”

Section: Data and Preprocessingmentioning

confidence: 99%

Application of the Adapted Approach for Crop Management Factor to Assess Soil Erosion Risk in an Agricultural Area of Rwanda

Maniraho

Mind’je

Liu

et al. 2021

Land

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Land use and land cover (LULC) management influences the severity of soil erosion risk. However, crop management (C) is one factor of the Revised Universal Soil Loss Equation (RUSLE) model that should be taken into account in its determination, as it influences soil loss rate estimations. Thus, the present study applied an adapted C-factor estimation approach (CvkA) modified from the former approach (Cvk) to assess the impact of LULC dynamics on soil erosion risk in an agricultural area of Rwanda taking the western province as a case study. The results disclosed that the formerly used Cvk was not suitable, as it tended to overestimate C-factor values compared with the values obtained from t CvkA. An approximated mean soil loss of 15.1 t ha−1 yr−1, 47.4 t ha−1 yr−1, 16.3 t ha−1 yr−1, 66.8 t ha−1 yr−1 and 15.3 t ha−1 yr−1 in 2000, 2005, 2010, 2015 and 2018, respectively, was found. The results also indicated that there was a small increase in mean annual soil loss from 15.1 t ha−1 yr−1 in 2000 to 15.3 t ha−1 yr−1 in 2018 (1.3%). Moreover, the soil erosion risk categories indicated that about 57.5%, 21.8%, 64.9%, 15.5% and 73.8% had a sustainable soil erosion rate tolerance (≤10 t ha−1 yr−1), while about 42.5%, 78.2%, 35.1%, 84.5% and 16.8% had an unsustainable mean soil erosion rate (>10 t ha−1 yr−1) in 2000, 2005, 2010, 2015 and 2018, respectively. A major portion of the area fell under the high and very high probability zones, whereas only a small portion fell under the very low, low, moderate and extremely high probability zones. Therefore, the CvkA approach presents the most suitable alternative to estimate soil loss in the western province of Rwanda with reasonable soil loss prediction results. The study area needs urgent intervention for soil conservation planning, taking into account the implementation of effective conservation practices such as terracing for soil erosion control.

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Geospatial land surface-based thermal scenarios for wetland ecological risk assessment and its landscape dynamics simulation in Bayanbulak Wetland, Northwestern China

Cited by 20 publications

References 66 publications

Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China

Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China

Ecotourism risk assessment in Yaoluoping Nature Reserve, Anhui, China based on GIS

Application of the Adapted Approach for Crop Management Factor to Assess Soil Erosion Risk in an Agricultural Area of Rwanda

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