{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T23:44:20Z","timestamp":1773877460859,"version":"3.50.1"},"reference-count":88,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,3,29]],"date-time":"2024-03-29T00:00:00Z","timestamp":1711670400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ph.D. program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Scientists widely agree that anthropogenically driven climate change significantly impacts vegetation growth, particularly in floodplain areas, by altering river flow and flood regimes. This impact will accelerate in the future, according to climate change projections. For example, in Australia, climate change has been attributed to a decrease in winter precipitation in the range of 56% to 72.9% and an increase in summer from 11% to 27%, according to different climate scenarios. This research attempts to understand vegetation responses to climate change variability at the floodplain level. Further, this study is an effort to enlighten our understanding of temporal climate change impacts under different climate scenarios. To achieve these aims, a semi-distributed hydrological model was applied at a sub-catchment level to simulate the Leaf Area Index (LAI). The model was simulated against future time series of climate data according to Global Climate Model (GCM) projections. The time series data underwent a non-parametric Mann\u2013Kendall test to detect trends and assess the magnitude of change. To quantify the model\u2019s performance, calibration and validation were conducted against the Moderate Resolution Imaging Spectroradiometer (MODIS) LAI. The calibration and validation results show Nash\u2013Sutcliffe efficiency (NSE) values of 0.85 and 0.78, respectively, suggesting the model\u2019s performance is very good. The modeling results reveal that the rainfall pattern fluctuates under climate projections within the study site, in which vegetation tends to be more vibrant during the warmer seasons. Moreover, the modeling results highlighted increases in the average projected future winter temperatures, which can help vegetation growth during winter. The results of this study may be employed for sustainable floodplain management, restoration, land-use planning, and policymaking, and help floodplain communities better prepare for and respond to changing flood patterns and related challenges under a future changing climate.<\/jats:p>","DOI":"10.3390\/rs16071204","type":"journal-article","created":{"date-parts":[[2024,3,29]],"date-time":"2024-03-29T06:33:16Z","timestamp":1711693996000},"page":"1204","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Modelling Floodplain Vegetation Response to Climate Change, Using the Soil and Water Assessment Tool (SWAT) Model Simulated LAI, Applying Different GCM\u2019s Future Climate Data and MODIS LAI Data"],"prefix":"10.3390","volume":"16","author":[{"given":"Newton","family":"Muhury","sequence":"first","affiliation":[{"name":"School of Civil Engineering and Surveying, University of Southern Queensland, Toowoomba 4350, Australia"}]},{"given":"Armando","family":"Apan","sequence":"additional","affiliation":[{"name":"School of Civil Engineering and Surveying, University of Southern Queensland, Toowoomba 4350, Australia"},{"name":"Institute for Life Sciences and the Environment, University of Southern Queensland, Toowoomba 4350, Australia"},{"name":"Institute of Environmental Science and Meteorology, University of the Philippines Diliman, Quezon City 1101, Philippines"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9361-1983","authenticated-orcid":false,"given":"Tek","family":"Maraseni","sequence":"additional","affiliation":[{"name":"Institute for Life Sciences and the Environment, University of Southern Queensland, Toowoomba 4350, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1038\/nature12350","article-title":"Climate extremes and the carbon cycle","volume":"500","author":"Reichstein","year":"2013","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1186\/s40663-020-00239-y","article-title":"Assessing the vulnerability of ecosystems to climate change based on climate exposure, vegetation stability and productivity","volume":"7","author":"Xu","year":"2020","journal-title":"For. 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