Browse > Article
http://dx.doi.org/10.3741/JKWRA.2021.54.9.705

Probabilistic evaluation of ecological drought in forest areas using satellite remote sensing data  

Won, Jeongeun (Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University)
Seo, Jiyu (Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University)
Kang, Shin-Uk (National Drought Information-Analysis Center, K-water)
Kim, Sangdan (Department of Environmental Engineering, Pukyong National University)
Publication Information
Journal of Korea Water Resources Association / v.54, no.9, 2021 , pp. 705-718 More about this Journal
Abstract
Climate change has a significant impact on vegetation growth and terrestrial ecosystems. In this study, the possibility of ecological drought was investigated using satellite remote sensing data. First, the Vegetation Health Index was estimated from the Normalized Difference Vegetation Index and Land Surface Temperature provided by MODIS. Then, a joint probability model was constructed to estimate the possibility of vegetation-related drought in various precipitation/evaporation scenarios in forest areas around 60 major ASOS sites of the Meteorological Administration located throughout Korea. The results of this study show the risk pattern of drought related to forest vegetation under conditions of low atmospheric moisture supply or high atmospheric moisture demand. It also identifies the sensitivity of drought risks associated with forest vegetation under various meterological drought conditions. These findings provide insights for decision makers to assess drought risk and develop drought mitigation strategies related to forest vegetation in a warming era.
Keywords
Copula; Ecological drought; Forest; Satellite remote sensing data; Vegetation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Sadegh, M., Ragno, E., and AghaKouchak, A. (2017). "Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a B ayesian framework." Water Resources Research, Vol. 53, No. 6, pp. 5166-5183. doi: 10.1002/2016WR020242   DOI
2 Won, J., and Kim, S. (2020). "Future drought analysis using SPI and EDDI to consider climate change in South Korea." Water Supply, Vol. 20, No. 8, pp. 3266-3280, ws2020209, doi: 10.2166/ws.2020.209.   DOI
3 Sklar, M. (1959). "Fonctions de repartition an dimensions et leurs marges." Publications de l'Institut de statistique de l'Universite de Paris, Vol. 8, pp. 229-231.
4 Tourre, Y.M., Jarlan, L., Lacaux, J.P., Rotela, C.H., and Lafaye, M. (2008). "Spatio-temporal variability of NDVI - precipitation over southernmost South America: Possible linkages between climate signals and epidemics." Environmental Research Letters, Vol. 3, No. 4, 044008. doi: 10.1088/1748-9326/3/4/044008   DOI
5 Zhong, L., Ma, Y., Salama, M.S., and Su, Z. (2010). "Assessment of vegetation dynamics and their response to variations in precipitation and temperature in the Tibetan Plateau." Climatic Change, Vol. 103, No. 3, pp. 519-535. doi: 10.1007/s10584-009-9787-8   DOI
6 Won, J., Choi, J., Lee, O. and Kim, S. (2020a). "Copula-based Joint Drought Index using SPI and EDDI and its application to climate change." Science of The Total Environment, Vol. 744, 140701. doi: 10.1016/j.scitotenv.2020.140701   DOI
7 Won, J., Choi, J., Lee, O., Seo, J., and Kim, S. (2020b). "Weighting coefficient estimation of vegetation health index for ecological drought analysis." Journal of Wetlands Research, Vol. 22, No. 4, pp. 275-285. doi: 10.17663/JWR.2020.22.4.275. (in Korean)   DOI
8 Yao, N., Li, Y., Lei, T., and Peng, L. (2018). "Drought evolution, severity and trends in mainland China over 1961-2013." Science of the Total Environment, Vol. 616, pp. 73-89. doi: 10.1016/j.scitotenv.2017.10.327   DOI
9 Zhang, L., and Singh, V.P. (2007). "Bivariate rainfall frequency distributions using Archimedean copulas." Journal of Hydrology, Vol. 332, No. 1-2, pp. 93-109. doi: 10.1016/j.jhydrol.2006.06.033   DOI
10 Zhang, L.S.V.P., and Singh, V.P. (2006). "Bivariate flood frequency analysis using the copula method." Journal of Hydrologic Engineering, Vol. 11, No. 2, pp. 150-164. doi: 10.1061/ASCE1084-0699200611:2150   DOI
11 Allen, R.G., Periera, L.S., Raes, D., and Smith, M. (1998). Crop evapotranspiration: Guidelines for computing crop requirements. FAO Irrigation and Drainage Paper 56, FAO, Rome, Italia.
12 Asner, G.P., and Alencar, A. (2010). "Drought impacts on the Amazon forest: the remote sensing perspective." New Phytologist, Vol. 187, No. 3, pp. 569-578. doi: 10.1111/j.1469-8137.2010.03310.x   DOI
13 Bardossy, A., and Pegram, G.G.S. (2009). "Copula based multisite model for daily precipitation simulation." Hydrology and Earth System Sciences, Vol. 13, No. 12, pp. 2299-2314. doi: 10.5194/hess-13-2299-2009   DOI
14 Salvadori, G., and De Michele, C. (2004). "Frequency analysis via copulas: Theoretical aspects and applications to hydrological events." Water Resources Research, Vol. 40, No. 12, doi: 10.1029/2004WR003133   DOI
15 Won, J., Jang, S., Kim, K., and Kim, S. (2018). "Applicability of the evaporative demand drought index." Journal of the Korean Society of Hazard Mitigation, Vol. 18, No. 6, pp. 431-442. doi: 10.9798/KOSHAM.2018.18.6.431 (in Korean)   DOI
16 Orimoloye, I.R., Ololade, O.O., Mazinyo, S.P., Kalumba, A.M., Ekundayo, O.Y., Busayo, E.T., Akinsanola, A.A., and Nel, W. (2019). "Spatial assessment of drought severity in Cape Town area, South Africa." Heliyon, Vol. 5, No. 7, e02148. doi: 10.1016/j.heliyon.2019.e02148   DOI
17 Mittelbach, G.G., Steiner, C.F., Scheiner, S.M., Gross, K.L., Reynolds, H.L., Waide, R.B., Willig, M.R., Dodson, S.I., and Gough, L. (2001). "What is the observed relationship between species richness and productivity?" Ecology, Vol. 82, No. 9, pp. 2381-2396. doi: 10.1890/0012-9658(2001)082[2381:WITORB]2.0.CO;2   DOI
18 Chang, Y.Y., Kim, S.D., and Choi, G.W. (2006). "A study of drought spatio-temporal characteristics using SPI-EOF analysis." Journal of Korea Water Resources Association, Vol. 39, No. 8, pp. 691-702. doi: 10.3741/JKWRA.2006.39.8.691 (in Korean)   DOI
19 de Jong, R., Verbesselt, J., Schaepman, M.E., and De Bruin, S. (2012). "Trend changes in global greening and browning: Contribution of short term trends to longer term change." Global Change Biology, Vol. 18, No. 2, pp. 642-655. doi: 10.1111/j.1365-2486.2011.02578.x   DOI
20 Park, J.S., and Kim, K.T. (2009). "Evaluation of MODIS NDVI for drought monitoring: Focused on comparison of drought index." Spatial Information Research, Vol. 17, No. 1, pp. 117-129. (in Korean)
21 Peng, S., Chen, A., Xu, L., Cao, C., Fang, J., Myneni, R.B., Pinzon, J. E., Tucker, C.J., and Piao, S. (2011). "Recent change of vegetation growth trend in China." Environmental Research Letters, Vol. 6, No. 4, 044027. doi: 10.1088/1748-9326/6/4/044027   DOI
22 Heumann, B.W. (2011). "Satellite remote sensing of mangrove forests: Recent advances and future opportunities." Progress in Physical Geography, Vol. 35, No. 1, pp. 87-108. doi: 10.177/0309133310385371   DOI
23 Zhou, G., Houlton, B.Z., Wang, W., Huang, W., Xiao, Y., Zhang, Q., Liu, S., Cao, M., Wang, X., Wang, S., Zhang, Y., Yan, J., Liu, J., Tang, X., and Zhang, D. (2014). "Substantial reorganization of China's tropical and subtropical forests: Based on the permanent plots." Global Change Biology, Vol. 20, No. 1, pp. 240-250. doi: 10.1111/gcb.12385   DOI
24 AghaKouchak, A., Farahmand, A., Melton, F.S., Teixeira, J., Anderson, M.C., Wardlow, B.D., and Hain, C.R. (2015). "Remote sensing of drought: Progress, challenges and opportunities." Reviews of Geophysics, Vol. 53, No. 2, pp. 452-480. doi: 10.1002/2014RG000456   DOI
25 Duan, Z., and Bastiaanssen, W.G.M. (2013). "First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling - calibration procedure." Remote Sensing of Environment, Vol. 131, pp. 1-13. doi: 10.1016/j.rse.2012.12.002   DOI
26 Friedlingstein, P., Cox, P., Betts, R., Bopp, L., von Bloh, W., Brovkin, V., Cadule, P., Doney, S., Eby, M., Fung, I., Bala, G., Jonh, J., Jones, C., Joos, F., Kato, T., Kawamiya, M., Knorr, W., Lindsay, K., Mattews, H.D., Raddatz, T., Rayner, P., Reick, C., Roeckner, E., Schnitzler, K.-G., Schnur, R., Strassmann, K., Weaver, A.J., Yoshikawa, C., and Zeng, N. (2006). "Climate-carbon cycle feedback analysis: Results from the C4MIP model intercomparison." Journal of Climate, Vol. 19, No. 14, pp. 3337-3353. doi: 10.1175/JCLI3800.1   DOI
27 Ghaleb, F., Mario, M., and Sandra, A.N. (2015). "Regional landsatbased drought monitoring from 1982 to 2014." Climate, Vol. 3, No. 3, pp. 563-577. doi: 10.3390/cli3030563   DOI
28 Hobbins, M.T., Wood, A., McEvoy, D.J., Huntington, J.L., Morton, C., Anderson, M., and Hain, C. (2016). "The evaporative demand drought index. Part I: Linking drought evolution to variations in evaporative demand." Journal of Hydrometeorology, Vol. 17, No. 6, pp. 1745-1761. doi: 10.1175/JHM-D-15-0121.1   DOI
29 Cong, N., Wang, T., Nan, H., Ma, Y., Wang, X., Myneni, R.B., and Piao, S. (2013). "Changes in satellite derived spring vegetation green up date and its linkage to climate in China from 1982 to 2010: A multimethod analysis." Global Change Biology, Vol. 19, No. 3, pp. 881-891. doi: 10.1111/gcb.12077   DOI
30 Ji, L., and Peters, A.J. (2003). "Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices." Remote Sensing of Environment, Vol. 87, No. 1, pp. 85-98. doi: 10.1016/S0034-4257(03)00174-3   DOI
31 Kim, S., Kim, B., Ahn, T.J., and Kim, H.S. (2011). "Spatio temporal characterization of Korean drought using severity-area-duration curve analysis." Water and Environment Journal, Vol. 25, No. 1, pp. 22-30. doi: 10.1111/j.1747-6593.2009.00184.x   DOI
32 Piao, S., Yin, G., Tan, J., Cheng, L., Huang, M., Li, Y., Liu, R., Mao, J., Myneni, R.B., Peng, S., Poulter, B., Shi, X., Xiao, Z., Zeng, N., Zeng, Z.Z., and Wang, Y. (2015). "Detection and attribution of vegetation greening trend in China over the last 30 years." Global Change Biology, Vol. 21, No. 4, pp. 1601-1609. doi: 10.1111/gcb.12795   DOI
33 Zhang, Y., Gao, J., Liu, L., Wang, Z., Ding, M., and Yang, X. (2013). "NDVI-based vegetation changes and their responses to climate change from 1982 to 2011: A case study in the Koshi River Basin in the middle Himalayas." Global and Planetary Change, Vol. 108, pp. 139-148. doi: 10.1016/j.gloplacha.2013.06.012   DOI
34 Ichii, K., Kawabata, A., and Yamaguchi, Y. (2002). "Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982-1990." International Journal of Remote Sensing, Vol. 23, No. 18, pp. 3873-3878. doi: 10.1080/01431160110119416   DOI
35 Kim, S.D., Ryu, J.S., Oh, K.R., and Jeong, S.M. (2012). "An application of copulas-based joint drought index for determining comprehensive drought conditions." Journal of Korean Society of Hazard Mitigation, Vol. 12, No. 1, pp. 223-230. doi: 10.9798/KOSHAM.2012.12.1.223 (in Korean)   DOI
36 McKee, T.B., Doesken, N.J., and Kleist, J. (1993). "The relationship of drought frequency and duration to time scales." Proceedings of the 8th Conference on Applied Climatology, AMS, Anaheim, CA, U.S.,Vol. 17, No. 22, pp. 179-183.
37 Levesque, M., Saurer, M., Siegwolf, R., Eilmann, B., Brang, P., Bugmann, H., and Rigling, A. (2013). "Drought response of five conifer species under contrasting water availability suggests high vulnerability of Norway spruce and European larch." Global Change Biology, Vol. 19, No. 10, pp. 3184-3199. doi: 10.1111/gcb.12268   DOI
38 Knapp, A.K., and Smith, M.D. (2001). "Variation among biomes in temporal dynamics of aboveground primary production." Science, Vol. 291, No. 5503, pp. 481-484. doi: 10.1126/science.291.5503.481   DOI
39 Kogan, F.N. (1997). "Global drought watch from space." Bulletin of the American Meteorological Society, Vol. 78, No. 4, pp. 621-636. doi: 10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO;2   DOI
40 Laux, P., Vogl, S., Qiu, W., Knoche, H.R., and Kunstmann, H. (2011). "Copula-based statistical refinement of precipitation in RCM simulations over complex terrain." Hydrology and Earth System Sciences, Vol. 15, No. 7, pp. 2401-2419. doi: 10.5194/hess-15-2401-2011   DOI
41 Li, B.G., Tao, S., and Dawson, R.W. (2002). "Relations between AVHRR NDVI and ecoclimatic parameters in China." International Journal of Remote Sensing, Vol. 23, No. 5, pp. 989-999. doi: 10.1080/014311602753474192   DOI
42 Liu, Z., Li, C., Zhou, P., Chen, X. (2016). A probabilistic assessment of the likelihood of vegetation drought under varying climate conditions across China. Scientific reports, Vol. 6, No. 1, pp. 1-10. doi: 10.1038/srep35105   DOI
43 Peng, S.S., Piao, S., Zeng, Z., Ciais, P., Zhou, L., Li, L.Z., Myneni, R. B., Yin, Y., and Zeng, H. (2014). "Afforestation in China cools local land surface temperature." Proceedings of the National Academy of Sciences, Vol. 111, No. 8, pp. 2915-2919. doi: 10.1073/pnas.1315126111   DOI
44 Ryu, J.S., Ahn, J., and Kim, S. (2012). "An application of drought severity-area-duration curves using copulas-based joint drought index." Journal of Korea Water Resources Association, Vol. 45, No. 10, pp. 1043-1050. doi: 10.3741/JKWRA.2012.45.10.1043 (in Korean)   DOI
45 Piao, S., Ciais, P., Huang, Y., Shen, Z., Peng, S., Li, J., Zhou, L., Liu, H., Ma, Y., Ding, Y., Friedlingstein, P., Liu, C., Tan, K., Yu, Y., Zhang, T., and Fang, J. (2010). "The impacts of climate change on water resources and agriculture in China." Nature, Vol. 467, No. 7311, pp. 43-51. doi: 10.1038/nature09364   DOI
46 Piao, S., Nan, H., Huntingford, C., Ciais, P., Friedlingstein, P., Sitch, S., Peng, S., Ahlstrom, A., Canadell, J.G., Cong, N., Levis, S., Levy, P.E., Liu, L., Lomas, M.R., Mao, J., Myneni, R.B., Peylin, P., Poulter, B., Shi, X., Yin, G., Viovy, N., Wang, T., Wang, X., Zaehle, S., Zeng, N., Zeng, Z.Z., and Chen, A. (2014). "Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity." Nature Communications, Vol. 5, No. 1, pp. 1-7. doi: 10.1038/ncomms6018   DOI
47 Pielke, R.A., Avissar, R., Raupach, M., Dolman, A.J., Zeng, X., and Denning, A.S. (1998). "Interactions between the atmosphere and terrestrial ecosystems: Influence on weather and climate." Global Change Biology, Vol. 4, No. 5, pp. 461-475. doi: 10.1046/j.1365-2486.1998.t01-1-00176.x   DOI