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Chukwuka O, Emeka I, Ibrahim Y, Fenetahun Y, Yuan Y, Yongdong W. Remote sensing approach in evaluating anthropogenic impacts on the spatiotemporal changes in net primary productivity of the Niger river basin, from 2000 to 2020. Heliyon 2023; 9:e21246. [PMID: 37954281 PMCID: PMC10632717 DOI: 10.1016/j.heliyon.2023.e21246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/23/2023] [Accepted: 10/18/2023] [Indexed: 11/14/2023] Open
Abstract
Deterioration of the environment can be examined by utilizing a statistical evaluation of the effects of anthropogenic activities (beneficial or detrimental) on net primary productivity. The Niger River Basin's net primary productivity is significant both theoretically and practically for the management of the natural environment. It is important for her member countries to understand vegetation dynamics, maintain carbon balance, and ensure food security in the region. The research applied remote sensing to determine the relative impact of human activities on the net primary productivity of the Niger River Basin from 2000 to 2020. The study simulated the actual and potential net primary productivity using the Carnegie Ames Stanford Approach and Thornthwaite's Memorial Model respectively, while the result of the simulations was used to calculate human-influenced net primary productivity. The slope of the three simulations was calculated and merged in several scenarios using ArcGIS 10.8 to determine the impact of human activities on net primary productivity of the study area. The negative impacts of human activities were recorded in 89.88 % of the investigated area, while 10.12 % of the NRB had signs of positive impacts. Amongst the biomes, urban areas and bare land experienced the largest negative impacts (97.2 % and 99.8 %, respectively). The study advised the effectiveness of ecological restoration programs, through sound scientific and technical methods, such as those used in rural development, nomadic herding, environmental protection, and natural resource management policies.
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Affiliation(s)
- Ogbue Chukwuka
- National Engineering Technology Research Center for Desert and Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road Urumqi 830011, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Igboeli Emeka
- National Engineering Technology Research Center for Desert and Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road Urumqi 830011, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yahaya Ibrahim
- National Engineering Technology Research Center for Desert and Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road Urumqi 830011, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yeneayehu Fenetahun
- National Engineering Technology Research Center for Desert and Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road Urumqi 830011, Xinjiang, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - You Yuan
- National Engineering Technology Research Center for Desert and Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road Urumqi 830011, Xinjiang, China
| | - Wang Yongdong
- National Engineering Technology Research Center for Desert and Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 818 South Beijing Road Urumqi 830011, Xinjiang, China
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Duan X, Li X, Tan W, Xiao R. Decoupling relationship analysis between urbanization and carbon emissions in 33 African countries. Heliyon 2022; 8:e10423. [PMID: 36097474 PMCID: PMC9463585 DOI: 10.1016/j.heliyon.2022.e10423] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 05/27/2022] [Accepted: 08/18/2022] [Indexed: 11/27/2022] Open
Affiliation(s)
- Xuelin Duan
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
| | - Xi Li
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
| | - Wenfang Tan
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
| | - Rui Xiao
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
- Corresponding author.
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Zhang X, Nian L, Liu X, Li X, Adingo S, Liu X, Wang Q, Yang Y, Zhang M, Hui C, Yu W, Zhang X, Ma W, Zhang Y. Spatial-Temporal Correlations between Soil pH and NPP of Grassland Ecosystems in the Yellow River Source Area, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148852. [PMID: 35886703 PMCID: PMC9323939 DOI: 10.3390/ijerph19148852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/16/2022] [Accepted: 07/19/2022] [Indexed: 11/16/2022]
Abstract
In recent years, ecological concerns such as vegetation destruction, permafrost deterioration, and river drying have been paid much more attention to on the Yellow River Basin in China. Soil pH is regarded to be the fundamental variable among soil properties for vegetation growth, while net primary productivity (NPP) is also an essential indicator to reflect the healthy growth of vegetation. Due to the limitation of on-site samples, the spatial−temporal variations in soil pH and NPP, as well as their intrinsic mechanisms, remain unknown, especially in the Yellow River source area, China. Therefore, it is imperative to investigate the coupling relationship between soil pH and NPP of the area. The study coupled MODIS reflectance data (MOD09A1) with on-site soil pH to estimate spatial−temporal variations in soil pH, explore the response of NPP to soil pH, and assess the extent to which they contribute to grassland ecosystems, thus helping to fill knowledge gaps. Results indicated that the surface spectral reflectance for seven bands could express the geographic pattern of soil pH by applying a multiple linear regression equation; NPP exhibited an increasing trend while soil pH was the contrary in summer from 2000 to 2021. In summer, NPP was negatively correlated with soil pH and there was a lag effect in the response of NPP to soil pH, revealing a correlation between temperate steppes > montane meadows > alpine meadows > swamps in different grassland ecosystems. In addition, contribution indices for temperate steppes and montane meadows were positive whereas they were negative for swamps and alpine meadows, which are apparent findings. The contribution index of montane and alpine meadows was greater than that of temperate steppes and swamps. The approach of the study can enable managers to easily identify and rehabilitate alkaline soil and provides an important reference and practical value for ecological restoration and sustainable development of grassland ecosystems in alpine regions.
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Affiliation(s)
- Xiaoning Zhang
- College of Forestry, Gansu Agricultural University, Lanzhou 730070, China; (X.Z.); (L.N.); (X.L.); (X.L.); (S.A.); (W.M.); (Y.Z.)
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
| | - Lili Nian
- College of Forestry, Gansu Agricultural University, Lanzhou 730070, China; (X.Z.); (L.N.); (X.L.); (X.L.); (S.A.); (W.M.); (Y.Z.)
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
| | - Xingyu Liu
- College of Forestry, Gansu Agricultural University, Lanzhou 730070, China; (X.Z.); (L.N.); (X.L.); (X.L.); (S.A.); (W.M.); (Y.Z.)
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
| | - Xiaodan Li
- College of Forestry, Gansu Agricultural University, Lanzhou 730070, China; (X.Z.); (L.N.); (X.L.); (X.L.); (S.A.); (W.M.); (Y.Z.)
- College of Management, Gansu Agricultural University, Lanzhou 730070, China;
| | - Samuel Adingo
- College of Forestry, Gansu Agricultural University, Lanzhou 730070, China; (X.Z.); (L.N.); (X.L.); (X.L.); (S.A.); (W.M.); (Y.Z.)
| | - Xuelu Liu
- College of Forestry, Gansu Agricultural University, Lanzhou 730070, China; (X.Z.); (L.N.); (X.L.); (X.L.); (S.A.); (W.M.); (Y.Z.)
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
- Correspondence:
| | - Quanxi Wang
- College of Humanities and Law, Northeastern University, Shenyang 110169, China;
| | - Yingbo Yang
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
| | - Miaomiao Zhang
- College of Management, Gansu Agricultural University, Lanzhou 730070, China;
| | - Caihong Hui
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
| | - Wenting Yu
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
| | - Xinyu Zhang
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
| | - Wenjun Ma
- College of Forestry, Gansu Agricultural University, Lanzhou 730070, China; (X.Z.); (L.N.); (X.L.); (X.L.); (S.A.); (W.M.); (Y.Z.)
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
| | - Yaoquan Zhang
- College of Forestry, Gansu Agricultural University, Lanzhou 730070, China; (X.Z.); (L.N.); (X.L.); (X.L.); (S.A.); (W.M.); (Y.Z.)
- College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China; (Y.Y.); (C.H.); (W.Y.); (X.Z.)
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The Different Impacts of Climate Variability and Human Activities on NPP in the Guangdong–Hong Kong–Macao Greater Bay Area. REMOTE SENSING 2022. [DOI: 10.3390/rs14122929] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
As two main drivers of vegetation dynamics, climate variability and human activities greatly influence net primary productivity (NPP) variability by altering the hydrothermal conditions and biogeochemical cycles. Therefore, studying NPP variability and its drivers is crucial to understanding the patterns and mechanisms that sustain regional ecosystem structures and functions under ongoing climate variability and human activities. In this study, three indexes, namely the potential NPP (NPPp), actual NPP (NPPa), and human-induced NPP (NPPh), and their variability from 2000 to 2020 in the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) were estimated and analyzed. Six main scenarios were generated based on change trends in the three indexes over the past 21 years, and the different relative impacts of climate variability and human activities on NPPa variability were quantitatively analyzed and identified. The results showed that the NPPp, NPPa, and NPPh had heterogeneous spatial distributions, and the average NPPp and NPPa values over the whole study area increased at rates of 3.63 and 6.94 gC·m−2·yr−1 from 2000 to 2020, respectively, while the NPPh decreased at a rate of −4.43 gC·m−2·yr−1. Climate variability and the combined effects of climate variability and human activities were the major driving factors of the NPPa increases, accounting for more than 72% of the total pixels, while the combined effects of the two factors caused the NPPa values to increase by 32–54% of the area in all cities expect Macao and across all vegetation ecosystems. Human activities often led to decreases in NPPa over more than 16% of the total pixels, and were mainly concentrated in the central cities of the GBA. The results can provide a reference for understanding NPP changes and can offer a theoretical basis for implementing ecosystem restoration, ecological construction, and conservation practices in the GBA.
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Impacts of Land Use Changes on Net Primary Productivity in Urban Agglomerations under Multi-Scenarios Simulation. REMOTE SENSING 2022. [DOI: 10.3390/rs14071755] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Land use is closely related to the sustainability of ecological development. This paper employed a patch-generating land use simulation (PLUS) model for the multi-scenario simulation of urban agglomerations. In addition, mathematical analysis methods such as Theil-Sen Median trend analysis, R/S analysis, Getis-Ord Gi* index and unary linear regression were used to study the temporal and spatial evolution characteristics of net primary productivity (NPP) for the impact of land use changes on NPP in urban agglomerations from 2000 to 2020 and to forecast the future trend of NPP. The results indicate that urban expansion is obvious in the baseline scenario and in the ecological protection scenario. In the scenario of cropland protection, the urban expansion is consistent with the land use plan of the government for 2035. The NPP in Beijing decreased gradually from northwest to southeast. The hot spot areas are concentrated in the densely forested areas in the mountainous areas of northwest. The cold spot areas are mainly concentrated in the periphery of urban areas and water areas. The NPP will continue to increase in forest and other areas under protection and remain stable in impervious surfaces. The NPP of Beijing showed a strong improvement trend and this trend will continue with the right ecological management and urban planning of the government. The study of land use in urban agglomeration and the development trend of vegetation NPP in the future can help policymakers rationally manage future land use dynamics and maintain the sustainable development of urban regional ecosystems.
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