Long-Term Changes of Aquatic Invasive Plants and Implications for Future Distribution: A Case Study Using a Tank Cascade System in Sri Lanka
Autor: | Sujith S. Ratnayake, Lalit Kumar, Benjamin Kipkemboi Kogo, Champika S. Kariyawasam |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
climate variability land use change Atmospheric Science 010504 meteorology & atmospheric sciences Biodiversity Climate change supervised maximum likelihood classification 010603 evolutionary biology 01 natural sciences Ecosystem services Land use land-use change and forestry lcsh:Science 0105 earth and related environmental sciences business.industry Aquatic ecosystem Term (time) Trend analysis climate change Agriculture Environmental science Mann–Kendall statistical test Sen’s slope estimator lcsh:Q Physical geography business |
Zdroj: | Climate, Vol 9, Iss 31, p 31 (2021) Climate Volume 9 Issue 2 |
ISSN: | 2225-1154 |
Popis: | Climate variability can influence the dynamics of aquatic invasive alien plants (AIAPs) that exert tremendous pressure on aquatic systems, leading to loss of biodiversity, agricultural wealth, and ecosystem services. However, the magnitude of these impacts remains poorly known. The current study aims to analyse the long-term changes in the spatio-temporal distribution of AIAPs under the influence of climate variability in a heavily infested tank cascade system (TCS) in Sri Lanka. The changes in coverage of various features in the TCS were analysed using the supervised maximum likelihood classification of ten Landsat images over a 27-year period, from 1992 to 2019 using ENVI remote sensing software. The non-parametric Mann–Kendall trend test and Sen’s slope estimate were used to analyse the trend of annual rainfall and temperature. We observed a positive trend of temperature that was statistically significant (p value < 0.05) and a positive trend of rainfall that was not statistically significant (p values > 0.05) over the time period. Our results showed fluctuations in the distribution of AIAPs in the short term however, the coverage of AIAPs showed an increasing trend in the study area over the longer term. Thus, this study suggests that the AIAPs are likely to increase under climate variability in the study area. |
Databáze: | OpenAIRE |
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