Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
SpringerLink
Log in

Assessing climatic, edaphic, vegetation cover data, and their trends around cities located in desert environments using online remote sensing

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

Air, water, soil, and plant resources have been endangered by human activities in recent years. The aim is to study the trend of changes in these resources using remote sensing data over the last 20 years. The study area of Yazd province (including 24 cities) is in the desert area in the center of Iran. Data were extracted from remote sensing products with web-based software Giovanni NASA and Google Earth Engine platform in the form of time series maps and graphs. The results showed there are two groups, increased and decreased variables. Increased variables were the vegetation density soil temperature, soil organic carbon, black carbon, and evapotranspiration. Decreased variables were wind speed, carbon monoxide, dust, soil moisture, and land surface temperature. Comparing these three categories of climatic, edaphic, and plant factors showed plant and climatic factors had a good trend. Edaphic factors only 50% of them had a good trend. In climatic factors, evapotranspiration had an unfavorable trend, but temperature and wind speed had a good trend. We found good trends; for example, enhanced vegetation index (EVI) had 42%, increasing relative minimum and land surface temperature (LST) had about 46% decreasing relative maximum in the desert region in urban areas. The policy of conservation of plant environmental resources in the desert region was caused by increasing vegetation cover density and decreasing dust, wind speed, and air temperature. Good and bad trends were observed in regions with more nighttime light in cities. This method provides a quick review of many various resources in early warning to governments and decision-makers in the region.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Availability of data and material

Data are available when requested.

Code availability

https://code.earthengine.google.com/a2d328e74b82ea8fd1738c213defbbdf, https://code.earthengine.google.com/85c2518bd85212216055daae815d9959.

References

  • Abbas, S., Hussain, M. S., Shirazi, S. A., & Khurshid, M. (2020a). Assessment of physiographic features and changing climate of Kabul river catchment area in northwestern Pakistan. Pakistan Journal of Science, 72(2).

  • Abbas, A., Ullah, S., Ullah, W., Waseem, M., Dou, X., Zhao, C., Karim, A., Zhu, J., Hagan, D. F., Bhatti, A. S., & Ali, G. (2022). Evaluation and projection of precipitation in Pakistan using the coupled model intercomparison project phase 6 model simulations. International Journal of Climatology, 42(13), 6665–6684.

    Article  Google Scholar 

  • Abbas, S., & Kousar, S. (2021). Spatial analysis of drought severity and magnitude using the standardized precipitation index and streamflow drought index over the Upper Indus Basin, Pakistan. Environment, Development and Sustainability, 23, 15314–15340.

    Article  Google Scholar 

  • Abbas, S., Kousar, S., & Pervaiz, A. (2021). Effects of energy consumption and ecological footprint on CO2 emissions: An empirical evidence from Pakistan. Environment, Development and Sustainability, 23(9), 13364–13381.

    Article  Google Scholar 

  • Abbas, S., Shirazi, S. A., Hussain, M. S., Yaseen, M., Shakarullah, K., Wahla, S. S., & Khurshid, M. (2020b). Impact of climate change on forest cover: Implications for carbon stock assessment and sustainable development in HKH region-Pakistan. Pakistan Vision, 21(1), 66.

    Google Scholar 

  • Baniya, B., Tang, Q., Huang, Z., Sun, S., & Techato, K. A. (2018). Spatial and temporal variation of NDVI in response to climate change and the implication for carbon dynamics in Nepal. Forests, 9(6), 329. https://doi.org/10.3390/f9060329

    Article  Google Scholar 

  • Beauregard, F., & de Blois, S. (2014). Beyond a climate-centric view of plant distribution: Edaphic variables add value to distribution models. PLoS ONE, 9(3), e92642. https://doi.org/10.1371/journal.pone.0092642

    Article  CAS  Google Scholar 

  • Brink, A. B., & Eva, H. D. (2009). Monitoring 25 years of land cover change dynamics in Africa: A sample based remote sensing approach. Applied Geography, 29, 501–512.

    Article  Google Scholar 

  • Chen, H., Liu, X., Ding, C., & Huang, F. (2018). Phenology-based residual trend analysis of MODIS-NDVI time series for assessing human-induced land degradation. Sensors, 18(11), 3676. https://doi.org/10.3390/s18113676

    Article  Google Scholar 

  • Cheng, C. H., & Lehmann, J. (2009). Ageing of black carbon along a temperature gradient. Chemosphere, 75(8), 1021–1027.

    Article  CAS  Google Scholar 

  • da Silva, R. G., dos Santos, A. R., Pelúzio, J. B. E., Fiedler, N. C., Juvanhol, R. S., de Souza, K. B., & Branco, E. R. F. (2021). Vegetation trends in a protected area of the Brazilian Atlantic forest. Ecological Engineering, 162, 106180. https://doi.org/10.1016/j.ecoleng.2021.106180

    Article  Google Scholar 

  • DOLAT (2023). https://dolat.ir/detail/390604 Accessed 27 Feb 2023.

  • Dudley, N., & Alexander, S. (2017). Agriculture and biodiversity: A review. Biodiversity, 18, 45–49.

    Article  Google Scholar 

  • Faour, G., Mhawej, M., & Fayad, A. (2016). Detecting changes in vegetation trends in the middle East and North Africa (MENA) region using SPOT vegetation. Cybergeo: European Journal of Geography. https://doi.org/10.4000/cybergeo.27620

    Article  Google Scholar 

  • Folberth, C., Skalský, R., Moltchanova, E., Balkovič, J., Azevedo, L. B., Obersteiner, M., & Van Der Velde, M. (2016). Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations. Nature Communications, 7(1), 1–13. https://doi.org/10.1038/ncomms11872

    Article  CAS  Google Scholar 

  • Hofhansl, F., Chacón-Madrigal, E., Fuchslueger, L., Jenking, D., Morera-Beita, A., Plutzar, C., Silla, F., Andersen, K. M., Buchs, D. M., Dullinger, S., & Fiedler, K. (2020). Climatic and edaphic controls over tropical forest diversity and vegetation carbon storage. Scientific Reports, 10(1), 1–11. https://doi.org/10.1038/s41598-020-61868-5

    Article  CAS  Google Scholar 

  • Imran, A., & Altawaha, A. R. (2022). Carbon assimilation and dry matter partitioning in soybean ameliorates with the integration of nano-black carbon, along with beneficial microbes and phosphorus fertilization. Journal of Plant Nutrition. https://doi.org/10.1080/01904167.2022.2035753

    Article  Google Scholar 

  • Jackson, T., Mansfield, K., Saafi, M., Colman, T., & Romine, P. (2008). Measuring soil temperature and moisture using wireless MEMS sensors. Measurement, 41(4), 381–390. https://doi.org/10.1016/j.measurement.2007.02.009

    Article  Google Scholar 

  • Jafari, R., Bashari, H., & Tarkesh, M. (2017). Discriminating and monitoring rangeland condition classes with MODIS NDVI and EVI indices in Iranian arid and semi-arid lands. Arid Land Research and Management, 31(1), 94–110. https://doi.org/10.1080/15324982.2016.1224955

    Article  Google Scholar 

  • Jamali, A. A., & Abdolkhani, A. (2009). Preparedness against landslide disasters with mapping of landslide potential by GIS-SMCE (Yazd-Iran). International journal of geoinformatics, 5(4), 25–31.

  • Jamali, A. A., Zarekia, S., & Randhir, T. O. (2018). Risk assessment of sand dune disaster in relation to geomorphic properties and vulnerability in the Saduq-Yazd Erg. Applied Ecology & Environmental Research, 16(1). https://doi.org/10.15666/aeer/1601_579590

  • Jamali, A. A., Arianpour, M., Pirasteh, S., & Eslamian, S. (2022). Flood Hazard, Vulnerability, and Risk Mapping in GIS: Geodata Analytical Process in Boolean, AHP, and Fuzzy Models. In Flood Handbook (pp. 431–444). CRC Press. https://doi.org/10.1201/9780429463938-26

  • Jucker, T., Bongalov, B., Burslem, D. F., Nilus, R., Dalponte, M., Lewis, S. L., Phillips, O. L., Qie, L., & Coomes, D. A. (2018). Topography shapes the structure, composition and function of tropical forest landscapes. Ecology Letters, 21(7), 989–1000. https://doi.org/10.1111/ele.12964

    Article  Google Scholar 

  • Kalisa, W., Igbawua, T., Henchiri, M., Ali, S., Zhang, S., Bai, Y., & Zhang, J. (2019). Assessment of climate impact on vegetation dynamics over East Africa from 1982 to 2015. Scientific Reports, 9(1), 1–20. https://doi.org/10.1038/s41598-019-53150-0

    Article  CAS  Google Scholar 

  • Kang, M. S., & Banga, S. S. (2013). Global agriculture and climate change. Journal of Crop Improvement, 27, 667–692.

    Article  Google Scholar 

  • Khosravi, H., Azareh, A., Dameneh, H. E., Sardoii, E. R., & Dameneh, H. E. (2017). Assessing the effects of the climate change on land cover changes in different time periods. Arabian Journal of Geosciences, 10(4), 93. https://doi.org/10.1007/s12517-017-2837-z

    Article  Google Scholar 

  • Kousari, M. R., Ekhtesasi, M. R., Tazeh, M., Naeini, M. A. S., & Zarch, M. A. A. (2011). An investigation of the Iranian climatic changes by considering the precipitation, temperature, and relative humidity parameters. Theoretical and Applied Climatology, 103(3), 321–335.

    Article  Google Scholar 

  • Lawrence, D., & Vandecar, K. (2015). Effects of tropical deforestation on climate and agriculture. Nature Climate Change, 5, 27–36.

    Article  Google Scholar 

  • Liu, J., Ding, J., Li, X., Zhang, J., & Liu, B. (2023). Identification of dust aerosols, their sources, and the effect of soil moisture in Central Asia. Science of The Total Environment, 868, 161575. https://doi.org/10.1016/j.scitotenv.2023.161575

  • Ma, B., Pu, R., Wu, L., & Zhang, S. (2017). Vegetation index differencing for estimating foliar dust in an ultra-low-grade magnetite mining area using landsat imagery. IEEE Access, 5, 8825–8834. https://doi.org/10.1109/ACCESS.2017.2700474

    Article  Google Scholar 

  • Masoudi, M., Jokar, P., & Pradhan, B. (2018). A new approach for land degradation and desertification assessment using geospatial techniques. Natural Hazards and Earth System Sciences. https://doi.org/10.5194/nhess-18-1133-2018

  • Neary, A., Mata-González, R., & Schmalz, H. (2021). Topographic edaphic and climate influences on aspen (Populus tremuloides) drought stress on an intermountain bunchgrass prairie. Forest Ecology and Management, 479, 118530. https://doi.org/10.1016/j.foreco.2020.118530

    Article  Google Scholar 

  • Rezaei, N. (2017). Resident perceptions toward tourism impacts in historic center of Yazd, Iran. Tourism Geographies, 19(5), 734–755. https://doi.org/10.1080/14616688.2017.1331261

    Article  Google Scholar 

  • Saremi Naeini, M. A. (2017). Estimate the frequency of speed and direction of erosive winds and generating dust storms in Yazd province by using Windrose, Stormrose and Sandrose. Desert Management, 4(8), 96–106.

    Google Scholar 

  • Shishir, S., Mollah, T. H., Tsuyuzaki, S., & Wada, N. (2020). Predicting the probable impact of climate change on the distribution of threatened Shorea robusta forest in Purbachal, Bangladesh. Global Ecology and Conservation. https://doi.org/10.1016/j.gecco.2020.e01250

    Article  Google Scholar 

  • Stolpe, N., & Undurraga, P. (2016). Long term climatic trends in Chile and effects on soil moisture and temperature regimes. Chilean Journal of Agricultural Research, 76(4), 487–496. https://doi.org/10.4067/S0718-58392016000400013

    Article  Google Scholar 

  • Sun, Q. M., Liu, T., Han, Z. Q., & Liu, H. F. (2014). Effects of climate changes on vegetation cover in the northern Tianshan mountains using multiple time scales. Research on Crops, 15(1), 264–269. https://doi.org/10.5958/j.2348-7542.15.1.038

    Article  Google Scholar 

  • Taddeo, S., Dronova, I., & Depsky, N. (2019). Spectral vegetation indices of wetland greenness: Responses to vegetation structure, composition, and spatial distribution. Remote Sensing of Environment, 234, 111467. https://doi.org/10.1016/j.rse.2019.111467

    Article  Google Scholar 

  • Willis, K. J., Bennett, K. D., Burrough, S. L., Macias-Fauria, M., & Tovar, C. (2013). Determining the response of African biota to climate change: Using the past to model the future. Philosophical Transactions of the Royal Society B: Biological Sciences, 368(1625), 20120491. https://doi.org/10.1098/rstb.2012.0491

    Article  CAS  Google Scholar 

  • Xu, X., Yang, D., & Sivapalan, M. (2012). Assessing the impact of climate variability on catchment water balance and vegetation cover. Hydrology and Earth System Sciences, 16(1), 43. https://doi.org/10.5194/hess-16-43-2012

    Article  CAS  Google Scholar 

  • Yan, L., He, R., Kašanin-Grubin, M., Luo, G., Peng, H., & Qiu, J. (2017). The dynamic change of vegetation cover and associated driving forces in Nanxiong Basin, China. Sustainability, 9(3), 443. https://doi.org/10.3390/su9030443

    Article  Google Scholar 

  • Yang, X., Zhou, C., Huo, W., Yang, F., Liu, X., & Mamtimin, A. (2019). A study on the effects of soil moisture, air humidity, and air temperature on wind speed threshold for dust emissions in the Taklimakan Desert. Natural Hazards, 97, 1069–1081. https://doi.org/10.1007/s11069-019-03686-1

  • You, G., Liu, B., Zou, C., Li, H., McKenzie, S., He, Y., Gao, J., Jia, X., Arain, M. A., Wang, S., & Wang, Z. (2020). Sensitivity of vegetation dynamics to climate variability in a forest-steppe transition ecozone, north-eastern Inner Mongolia, China. Ecological Indicators, 120, 106833. https://doi.org/10.1016/j.ecolind.2020.106833

    Article  Google Scholar 

Download references

Funding

Private funding by authors.

Author information

Authors and Affiliations

  1. Department of GIS-RS and Watershed Management, Meybod Branch, Islamic Azad University, Meybod, Iran

    Ali Akbar Jamali

  2. Forest and Rangeland Research Division, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Yazd, Iran

    Sedigheh Zarekia

  3. Department of Remote Sensing and GIS, Yazd Branch, Islamic Azad University, Yazd, Iran

    Seyede Razieh Keshavarz

Authors
  1. Ali Akbar Jamali
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sedigheh Zarekia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Seyede Razieh Keshavarz
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Author 1 contributed to conceptualization, methodology, investigation, validation, resources, data curation, writing—review and editing, supervision, and project administration and provided software, Author 2: was involved in conceptualization, methodology, investigation, formal analysis, resources, data curation, and writing—original draft, and provided software, and Author 3 contributed to conceptualization, methodology, investigation, formal analysis, resources, and data curation and provided software.

Corresponding author

Correspondence to Ali Akbar Jamali.

Ethics declarations

Conflict of interest

None.

Consent to publish

Authors consent to publishing.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jamali, A.A., Zarekia, S. & Keshavarz, S.R. Assessing climatic, edaphic, vegetation cover data, and their trends around cities located in desert environments using online remote sensing. Environ Dev Sustain 26, 11913–11928 (2024). https://doi.org/10.1007/s10668-023-03550-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-023-03550-0

Keywords

Search

Navigation