Response of Rangeland Vegetation to Recent Trends in Seasonal Climate in Mansehra, Pakistan
Rangeland response to the recent climate trends
DOI:
https://doi.org/10.53560/PPASB(59-3)721Keywords:
climate change, rangeland, Vegetation, Remote sensing, NDVIAbstract
The deterioration of rangeland resources as a result of environmental changes is a serious concern in the Himalayan mountainous region of Pakistan. The present study is aimed to evaluate the response of vegetation cover of rangeland to recent trends in climate parameters, such as the seasonal temperature and rainfall in the Mansehra district of Khyber Pakhtunkhwa province, Pakistan. Correlation analysis was performed between the MODIS data products, i.e., NDVI (Normalized difference vegetation index) and LST (Land surface temperature), and TRMM rainfall datasets of the 2000-2018 period. NDVI indicated a negative correlation with LST of winter (R= -0.56), spring (R= -0.7), summer (R= -0.24), and autumn (R= -0.23) significant (p<0.05) for winter and spring seasons only. In
contrast, the correlation of NDVI was observed positive with seasonal rainfall exhibiting coefficient of correlation values of 0.41, 0.79, 0.64, 0.7 for winter, spring, summer, and autumn significant (p<0.05) for the last two seasons only. The low correlation observed between NDVI and LST of summer and autumn seasons is likely because of the prevailing stress condition of chlorophyll contents of the vegetation cover under warming conditions. However, this situation appears to be compensated by the rainfall as indicative of the moderate to strong correlation between the NDVI and rainfall of these two seasons. The least NDVI values observed during the winter season indicate limited vegetation cover for grazing opportunities in the lower valleys. However, an in-depth investigation of production patterns would further facilitate analyzing the grazing potential to support decision-making for long-term grazing management.
References
Hamayun, S., Shujaul, M.K., David, M., et al. Species diversity, community structure and distribution patterns in Western Himalayan alpine pasture of Kashmir, Pakistan. Mountain Res. Devel. (MRD) 31(2): 153–159 (2011).
FAOSTAT. Food and Agriculture Organization of the United Nations: Statistics Division (2014).
Thorvaldsson, G., Bjornsson, H., Hermannsson, J. The influence of weather on early growth rate of grasses. Icel Agric Sci 4: 65–73 (2004).
Polley, H.W., Briske, D.D., Morgan, J.A., Wolter, K., et al. Climate change and North American rangelands: trends, projections, and implications. Rangeland Ecology and Management 66: 493–511 (2013).
Tadesse, T., Brown, J.F., Hayes, M.J. A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the US central plains. ISPRS J. Photogramm. Remote Sens. 59: 244–253 ( 2005).
Omer, R.M., Hester, A.J., Gordon, I.J., Swaine, M.D., et al. Seasonal changes in pasture biomass, production and offtake under the transhumance system in northern Pakistan. Jour of Arid Environment 67: 641–660 (2006).
Reeves, M.C., Zhao, M., Running, S.W. Applying improved estimates of MODIS productivity to characterize grassland vegetation dynamics. Rangeland Ecology & Management 59(1): 1–10 (2006).
Ullah, S., Tahir, A.A., Akbar, T.A., Hassan, Q.K., et al. Remote Sensing-Based Quantification of the Relationships between Land Use Land Cover Changes and Surface Temperature over the Lower Himalayan Region. Sustainability 11(9): 5492 (2019). DOI:10.3390/su11195492.
Regmi, R., Ma, Y., Ma, W., Baniya, B., et al. Interannual variation of NDVI, Precipitation and Temperature during the growing season in Langtang National Park, Central Himalaya, Nepal. Applied Ecology and Environmental Sciences 8: 218–228 (2020).
Xu, B., Yang, X.C., Tao, W.G., Qin, Z.H., et al. Remote sensing monitoring upon the grass production in China. Acta Ecologica Sinica 27(2): 405–413 (2007).
Yu, L., Zhou, L., Liu, W., Zhou, H. Using Remote Sensing and GIS Technologies to Estimate Grass Yield and Livestock Carrying Capacity of Alpine Grasslands in Golog Prefecture, China. Pedosphere 20(3): 342–351 (2010).
Yang, J., Wan, Z., Borjigin, S., Zhang, D., et al. Changing trends of NDVI and their responses to climatic variation in different types of grassland in Inner Mongolia from 1982 to 2011. Sustainability 11(12): 1–12 (2019).
Huffman, G.J. The TRMM multi-satellite precipitation analysis (TMPA). In: F. Hossain and M. Gebremichael, et al. (eds.) Satellite applications for surface hydrology. New York, Springer: 3–22 (2010).
Zeng, H.W., Li, L.J. Accuracy validation of TRMM 3B43 Data in Lancang River Basin. Acta Geographica Sinica 66 (7): 994–1004 (2011).
Rafique, M., Aujl1a, K.M., Abrar, H., Ghuman, A.M., et al. Performance of Rambouillet crossbreed grazing on alpine pastures of Pakistan under transhumant System. Egyptian J. Sheep and Goat Sci. 8(1): 189–199 (2013).
Mobashar, M., Habib, G., Anjum, M., Gul, I., et al. Herbage production and nutritive value of alpine pastures in upper Kaghan valley, Khyber Pakhtunkhwa. Pakistan. Jour of Animal and Plant Sciences 27: 1472–1478 (2017).
Farooq, M., Anjum, W., Hussain, M., Saqib, Z., et al. Forest situation analysis and future forecasting of famous Upper Tanawal forests ecosystems on western banks of lesser Himalaya. Acta Ecologica Sinica 39 (1): 9–13 (2019).
Phan, T.N., Kappas, M. Application of MODIS land surface temperature data: A systematic literature review and analysis. Jour of Applied Remote Sensing 12(4): 041501 (2018). DOI:10.1117/1.JRS.12.041501
Shao,Y., Lunetta, R.S., Wheeler, B. Iiames, J.S., et al. An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data. Remote Sens. Environ. 174: 258–265 (2016).
Atkinson, P.M., Jeganathan, C., Dash, J., Atzberger, C. Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology. Remote Sens. Environ. 123: 400–417 (2012).
Zhang, G., Yao, T., Xie, H., Qin, J., et al., Estimating surface temperature changes of lakes in the Tibetan Plateau using MODIS LST data. J. Geophys. Res. Atmos. 119: 8552–8567 (2014). DOI:10.1002/2 014JD02161 5.
Stathopoulou, M. and Cartalis, C., Daytime urban heat islands from Landsat ETM+ and Corine land cover data: an application to major cities in Greece. Solar Energy 81(3): 358–368 (2007).
Barsi, J.A., Schott, J.R., Hook, S.J., Raqueno, N.G., et al. Landsat-8 thermal infrared sensor (TIRS) vicarious radiometric calibration. Remote Sensing 6(11): 11607–26 (2014).
Weng, Q.H., Lu, D.S. and Schubring, J. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sensing of Environ. 89(4): 467–483 (2004).
Srivastava, P.K., Majumdar, T.J. and Bhattacharya, A.K. Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Advances in Space Research 43(10): 1563–1574 (2009).
Iqbal, M.F. and Athar, H. Validation of satellite based precipitation over diverse topography of Pakistan. Atmospheric Research 201: 247–260 (2018).
Rehman, A., Chishtie, F., Qazi, W.A, Ghuffar, S. Validation of TRMM 3B42 Rainfall Product at Lai Nullah Basin, Islamabad, Pakistan. Jour of Space Technology 8(1): 59–64 (2018).
Hasson S, Böhner J, Lucarini V. Prevailing climatic trends and runoff response from Hindukush–Karakoram–Himalaya, upper Indus Basin. Earth Syst. Dyn. 8: 337–355 (2017).
Latif Y, Yaoming M, Yaseen M. Spatial analysis of precipitation time series over the Upper Indus Basin. Theor. Appl. Climatol. 131: 761–775 (2018).
Chaudhry QZ. Climate change profile of Pakistan. Asian development bank: p-130 (2017). DOI:http://dx.doi.org/10.22617/TCS178761
Chaudhry QZ, Mahmood A, Rasul G, Afzaal M. Climate indicators of Pakistan. PMD Technical Report 22/2009 (2009).
Liu, Y., Lei, H. Responses of natural vegetation dynamics to climate drivers in China from 1982 to 2011. Remote Sensing 7(8): 10243-68 (2015).
Ahmad, S., Bari, A., Muhammad, A. Climate Change and Water resources of Pakistan: Impact Vulnerabilities, Copying mechanisma. Workshop on Climate Change and Water resources in South Asia, Kathmandu, Nepal (2003).
Muhammad, S., Mehmood, K., Khan, H. Overuse and over rest of range land; A case study of Siran Valley, Hazara Regions, District Mansehra, Pakistan (2016). https://en.engormix.com/dairy-cattle/articles/ (Accessed on 20 March, 2021).
Rehman, Z., Kazmi, S., Khanum, F., Samoon, Z.A. Analysis of Land Surface Temperature and NDVI using Geo-Spatial Technique: A Case Study of Keti Bunder, Sindh, Pakistan. Jour of Basic and Applied Sciences 11: 514-527 (2015).
Park, H., Sohn, B. Recent trends in changes of vegetation over East Asia coupled with temperature and rainfall variations (1984–2012). J. Geophys. Res. Atmos. 115. (2010). DOI:10.1029/2009JD012752
Peng, S., Chen, A., Xu, L., Cao, C., et al. Recent change of vegetation growth trend in China. Environ. Res. Lett. 6(4): 044027 (2011).
Wang, X., Piao, S., Ciais, P., Li, J., Friedlingstein, P., Koven, C., Chen, A. Spring temperature change and its implication in the change of vegetation growth in North America from 1982 to 2006. Proc. Natl. Acad. Sci. USA: 1240–1245 (2011).
Xu, G., Zhang, H., Chen, B., Zhang, H., et al. Changes in Vegetation Growth Dynamics and Relations with Climate over China Landmass from 1982 to 2011. Remote Sensing 6: 3263–3283 (2014).
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