Landscape metric sensitivity to grain size in rural Japan
Author:
Funder
Tottori University of Environmental Studies
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11355-024-00611-y.pdf
Reference52 articles.
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2. Azareh A, Sardooi ER, Gholami H, Mosavi A, Shahdadi A, Barkhori S (2021) Detection and prediction of lake degradation using landscape metrics and remote sensing dataset. Environ Sci Pollut Res Int 28:27283–27298. https://doi.org/10.1007/s11356-021-12522-8
3. Betts MG, Diamond AW, Forbes GJ, Villard M-A, Gunn JS (2006) The importance of spatial autocorrelation, extent and resolution in predicting forest bird occurrence. Ecol Model 191:197–224. https://doi.org/10.1016/j.ecolmodel.2005.04.027
4. Bu H, Zhang Y, Meng W, Song X (2016) Effects of land-use patterns on in-stream nitrogen in a highly-polluted river basin in Northeast China. Sci Total Environ 553:232–242. https://doi.org/10.1016/j.scitotenv.2016.02.104
5. Chen J, Gupta AK (2012) Parametric statistical change point analysis, 2nd edn. Birkhäuser, Boston
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