Environmental sensitivity assessment of land desertification in the Hexi Corridor, China
Tài liệu tham khảo
Abuzaid, 2022, Assessment of desertification using modified MEDALUS model in the north nile delta, egypt, Geoderma, 405, 10.1016/j.geoderma.2021.115400
Afzali, S. F., Khanamani, A., Maskooni, E. K., Berndtsson, R., 2021. Quantitative assessment of environmental sensitivity to desertification using the modified MEDALUS model in a semiarid area. Sustainability (Basel, Switzerland), 13(14). https://doi.org/10.3390/su13147817.
Akbari, 2020, Monitoring desertification processes using ecological indicators and providing management programs in arid regions of iran, Ecol. Ind., 111, 10.1016/j.ecolind.2019.106011
Al-Awadhi, 2003, Causes and consequences of desertification in kuwait: a case study of land degradation, Bull. Eng. Geol. Environ., 62, 107, 10.1007/s10064-002-0175-0
Basso, 2000, Evaluating environmental sensitivity at the basin scale through the use of geographic information systems and remotely sensed data: An example covering the agri basin (southern italy), Catena, 40, 19, 10.1016/S0341-8162(99)00062-4
Brauman, 2010, Forest structure influences on rainfall partitioning and cloud interception: a comparison of native forest sites in kona, Hawai’i. Agricul. Forest Meteorol., 150, 265, 10.1016/j.agrformet.2009.11.011
Cao, 2021, Spatiotemporal variations of global terrestrial vegetation climate potential productivity under climate change, Sci. Total Environ., 770, 10.1016/j.scitotenv.2021.145320
Chen, Z., Liu, J., Li, L., Wu, Y., Feng, G., Qian, Z., Sun, G., 2022. Effects of climate change on vegetation patterns in hulun buir grassland. Physica A, 597https://doi.org/10.1016/j.physa.2022.127275.
Chen, 2016, Land use/land cover change and driving effects of water environment system in dunhuang basin, northwestern china, Environ. Earth Sci., 75, 1, 10.1007/s12665-016-5809-9
Contador, 2009, Mapping sensitivity to land degradation in Extremadura, SW spain, Land Degradat. Dev., 20, 129, 10.1002/ldr.884
Copeland, S. M., Bradford, J. B., Duniway, M. C., Schuster, R. M., 2017. Potential impacts of overlapping land-use and climate in a sensitive dryland: A case study of the colorado plateau, USA. Ecosphere (Washington, D.C), 8(5). https://doi.org/10.1002/ecs2.1823.
De Pina Tavares, 2015, Assessment and mapping the sensitive areas to desertification in an insular sahelian mountain region case study of the ribeira seca watershed, santiago island, cabo verde, Catena, 128, 214, 10.1016/j.catena.2014.10.005
Egidi, 2021, Assessing the impact of multiple drivers of land sensitivity to desertification in a mediterranean country, Environ. Impact Assess. Rev., 89, 10.1016/j.eiar.2021.106594
Elnashar, 2022, Assessment of environmentally sensitive areas to desertification in the blue nile basin driven by the MEDALUS-GEE framework, Sci. Total Environ., 815, 152925, 10.1016/j.scitotenv.2022.152925
Guo, 2022, The changes of spatiotemporal pattern of rocky desertification and its dominant driving factors in typical karst mountainous areas under the background of global change, Remote Sensing, 14, 2351, 10.3390/rs14102351
Han, 2014, Desertification assessments in the Hexi corridor of northern China’s Gansu province by remote sensing, Nat. Hazards, 75, 2715, 10.1007/s11069-014-1457-0
Hu, 2020, Land desertification and its influencing factors in kazakhstan, J. Arid Environ., 180, 10.1016/j.jaridenv.2020.104203
Jiang, 2019, Monitoring land sensitivity to desertification in central Asia: Convergence or divergence?, The Sci. Total Environ., 658, 669, 10.1016/j.scitotenv.2018.12.152
Karamesouti, 2015, Land-use and land degradation processes affecting soil resources: Evidence from a traditional mediterranean cropland (greece), Catena, 132, 45, 10.1016/j.catena.2015.04.010
Karamesouti, 2018, Model-based spatio-temporal analysis of land desertification risk in Greece, Catena, 167, 266, 10.1016/j.catena.2018.04.042
Keane, 2020, Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates, For. Ecol. Manage., 477, 10.1016/j.foreco.2020.118498
Kornejady, 2017, Landslide susceptibility assessment using maximum entropy model with two different data sampling methods, Catena, 152, 144, 10.1016/j.catena.2017.01.010
Kosmas, C., Kirkby, M., Geeson, N., 1999. Manual on Key Indicators of Desertification and Mapping Environmentally Sensitive Areas to Desertification. EUR 18882, European Commission, Energy, Environment and Sustainable Development, Bruxelles (1999).
Kosmas, C, Karis, O, Karavitis, C , Ritsema, C.J, Salvati, L, Acikalin, S, Alcala, S, Alfama, P, Atlhopheng, J, Barrera, J, Belgacem, A, Sole-Benet, A, Brito, J, Chaker, M, Chanda, R, Coelho, C, Darkoh, M, Diamantis, I, Ermolaeva, O, Fassouli, V, Fei, W, Fernandez, F, Ferreira, A, Gokceoglu, C, Gonzalez, D, Gungor, H, Hessel, R, Juying, J, Khatteli, H, Kounalaki, A, Laouina, A, Lollino, P, Lopes, M, Magole, L, Medina, L, Mendoza, M, Morais, P, Mulale, K, Ocakoglu, F, Ouessar, M, Ovalle, C, Perez, C, Perkins, J, Pliakas, F, Polemio, M, Pozo, A, Prat, C, Qinke, Y, Ramos, A, Riquelme, J, Romanenkov, V, Rui, L, Santaloia, F, Sebego, R, Sghaier, M, Silva, N, Sizemskaya, M, Soares, J, Sonmez, H, Taamallah, H, Tezcan, L, Torri, D, Ungaro, F, Valente, S, Vente, de, J, Zagal, E, Zeiliguer, A, Zhonging, W, Ziogas, A., 2013. Evaluation and selection of indicators for land degradation and desertification monitoring: Methodol. App.. Environ. Manage. 54(5), 951-970. https://doi.org/10.1007/s00267-013-0109-6.
Kurmangozhinov, 2020, High biomass production with abundant leaf litterfall is critical to ameliorating soil quality and productivity in reclaimed sandy desertification land, J. Environ. Manage., 263, 110373, 10.1016/j.jenvman.2020.110373
Li, 2021, The interacting roles and relative importance of climate, topography, soil properties and mineralogical composition on soil potassium variations at a national scale in china, Catena (Giessen), 196
Lin, 2021, Spatiotemporal variations and driving factors of the potential wind erosion rate in the hexi region, PR China, Land Degradat. Dev., 32, 139, 10.1002/ldr.3702
Luo, 2020, Using composite fingerprints to quantify the potential dust source contributions in northwest china, Sci. Total Environ., 742, 140560, 10.1016/j.scitotenv.2020.140560
Ma, 2020, The soil properties and their effects on plant diversity in different degrees of rocky desertification, Sci. Total Environ., 736, 139667, 10.1016/j.scitotenv.2020.139667
Madrau, S., Zucca, C., 2008. Desertification risk assessment in an area characterised by high anthropic impact in NW Sardinia. Moving ahead from assessments to actions: could we win the struggle with land degradation, 165-168.
Maneja, 2020, Long-term NDVI and recent vegetation cover profiles of major offshore island nesting sites of sea turtles in saudi waters of the northern arabian gulf, Ecol. Ind., 117, 10.1016/j.ecolind.2020.106612
Oliveira, G.d.C., Arruda, D.M., Fernandes Filho, E.I., Veloso, G.V., Francelino, M.R., Schaefer, Carlos Ernesto Gonçalves Reynaud., 2021. Soil predictors are crucial for modelling vegetation distribution and its responses to climate change. Sci. Total Environ. 780, 146680–146680. https://doi.org/10.1016/j.scitotenv.2021.146680.
Prăvălie, 2017, Spatial assessment of land degradation sensitive areas in southwestern Romania using modified MEDALUS method, Catena, 153, 114, 10.1016/j.catena.2017.02.011
Prăvălie, 2020, Spatial assessment of land sensitivity to degradation across Romania. A quantitative approach based on the modified MEDALUS methodology, Catena, 187, 10.1016/j.catena.2019.104407
Pravalie, 2017, Spatial assessment of land degradation sensitive areas in southwestern Romania using modified MEDALUS method, Catena, 153, 114, 10.1016/j.catena.2017.02.011
Sakizadeh, 2021, Source identification and contribution of land uses to the observed values of heavy metals in soil samples of the border between the northern ireland and republic of ireland by receptor models and redundancy analysis, Geoderma, 404, 10.1016/j.geoderma.2021.115313
Salesa, 2020, Three topographical approaches to survey soil erosion on a mountain trail affected by a forest fire. barranc de la manesa, llutxent, eastern iberian peninsula, J. Environ. Manage., 264, 110491, 10.1016/j.jenvman.2020.110491
Salvati, 2011, Land sensitivity to desertification across Italy: past, present, and future, Appl. Geogr., 31, 223, 10.1016/j.apgeog.2010.04.006
Salvati, 2015, Complex adaptive systems, soil degradation and land sensitivity to desertification: a multivariate assessment of Italian agro-forest landscape, Sci. Total Environ., 521, 235, 10.1016/j.scitotenv.2015.03.094
Salvati, 2016, Fifty years on: long-term patterns of land sensitivity to desertification in Italy, Land Degrad. Dev., 27, 97, 10.1002/ldr.2226
Segaran, T., 2007. Programming Collective Intelligence: Building Smart Web 2.0 Applications. Sebastopol, CA: O'Reilly Media, 2007.
Shao, 2021, Application of BP - ANN model in evaluation of soil quality in the arid area, northwest China, Soil Tillage Res., 208, 10.1016/j.still.2020.104907
Shao, 2022, Distribution of soil available nutrients and their response to environmental factors based on path analysis model in arid and semi-arid area of northwest china, Sci. Total Environ., 827, 154254, 10.1016/j.scitotenv.2022.154254
Turan, 2019, Spatial assessment and mapping of soil quality index for desertification in the semi-arid terrestrial ecosystem using MCDM in interval type-2 fuzzy environment, Comput. Electron. Agric., 164, 10.1016/j.compag.2019.104933
UNCCD, 1994. United Nations Convention to Combat Desertification, Intergovernmental Negotiating Committee for a Convention to Combat Desertification, Elaboration of an International Convention to Combat Desertification in Countries Experiencing Serious Drought and/or Desertification, Particularly in Africa. U.N. Doc. A/AC.241/27, 33 I.L.M. 1328. New York, United Nations.
UNEP, 1997. World Atlas of Desertification, second ed. Middleton, N., Thomas, D.S.G., (Eds.) Edward Arnold, London, UK.
Uzuner, 2020, Desertification risk assessment in turkey based on environmentally sensitive areas, Ecol. Ind., 114, 10.1016/j.ecolind.2020.106295
Wang, X., Xiao, F., Geng, X., Hu, S., Wang, Z., 2022. Spatiotemporal variations in surface water and its significance to desertification in china from 2000 to 2019. Catena, 213https://doi.org/10.1016/j.catena.2022.106182.
Wang, 2021, Salinification and salt transports under aeolian processes in potential desertification regions of china, Sci. Total Environ., 782, 10.1016/j.scitotenv.2021.146832
Wei, 2022, The change pattern and its dominant driving factors of wetlands in the Yellow River delta based on Sentinel-2 images, Remote Sensing, 14(17), 4388
Wijitkosum, 2021, Factor influencing land degradation sensitivity and desertification in a drought prone watershed in Thailand, Int. Soil Water Conserv. Res., 9, 217, 10.1016/j.iswcr.2020.10.005
Xu, 2019, Assessing the spatial-temporal pattern and evolution of areas sensitive to land desertification in north china, Ecol. Ind., 97, 150, 10.1016/j.ecolind.2018.10.005
Xu, 2022, Linking priority areas and land restoration options to support desertification control in northern china, Ecol. Ind., 137, 10.1016/j.ecolind.2022.108747
Xue, 2021, Revised zoning method for environmental fragility evaluation to desertification in arid–semiarid areas: a case of Dousitu river basin, Environ. Earth Sci., 80, 10.1007/s12665-021-09819-9
Yang, 2022, Analysis of spatiotemporal changes and driving factors of desertification in the Africa Sahel, Catena, 213, 10.1016/j.catena.2022.106213
Yang, 2020, Historical settlement abandonment in the middle hexi corridor linked to human-induced desertification, Palaeogeogr. Palaeoclimatol. Palaeoecol., 545, 10.1016/j.palaeo.2020.109634
Yang, 2022, Risk assessment of water resource shortages in the Aksu river basin of northwest china under climate change, J. Environ. Manage., 305, 114394, 10.1016/j.jenvman.2021.114394
You, 2021, Comparative study of desertification control policies and regulations in representative countries of the belt and road initiative, Global Ecol. Conserv., 27
Zhang, Q., Lv, X., Yu, X., Ni, Y., Ma, L., Liu, Z., 2022. Species and spatial differences in vegetation rainfall interception capacity: A synthesis and meta-analysis in china. Catena, 213https://doi.org/10.1016/j.catena.2022.106223.
Zhang, Z., Liang, A., Dong, Z., Zhang, Z., 2022. Sand provenance in the gurbantunggut desert, northern china. Catena, 214https://doi.org/10.1016/j.catena.2022.106242.
Zhang, 2018, Combating desertification in China: monitoring, control, management and revegetation, J. Cleaner Prod., 182, 765, 10.1016/j.jclepro.2018.01.233
Zhang, 2021, Wind speed in spring dominated the decrease in wind erosion across the Horqin sandy land in northern China, Ecol. Ind., 127, 10.1016/j.ecolind.2021.107599
Zhang, 2008, Contributions of sandy lands and stony deserts to long-distance dust emission in china and Mongolia during 2000–2006, Global Planet. Change, 60, 487, 10.1016/j.gloplacha.2007.06.001