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Effects of land use on the fungal spore richness in small crater-lake basins of western Uganda

fungal Diversity 2012年第4期55卷 125-142页

作者： Vanessa Gelorini Annemieke Verbeken Luc Lens Hilde Eggermont Bent Vad Odgaard Dirk Verschuren Limnology Unit Department of BiologyGhent UniversityK.L.Ledeganckstraat 359000 GhentBelgium Research Group Mycology Department of BiologyGhent UniversityK.L.Ledeganckstraat 359000 GhentBelgium Terrestrial Ecology Unit Department of BiologyGhent UniversityK.L.Ledeganckstraat 359000 GhentBelgium Royal Belgian Institute of Natural Sciences Freshwater BiologyVautierstraat 291000 BrusselsBelgium Department of Geosciences University of AarhusHoegh Guldbergsgade 2DK-8000 Aarhus CDenmark Research Unit Palaeontology Department of Geology and Soil SciencesGhent UniversityKrijgslaan 281/S89000 GhentBelgium

Mycological tools to estimate the effects of diverse land-use practices on fungal diversity are scarce,because of poor knowledge of the taxonomic diversity of tropical fungi and their response to anthropogenic habitat ***,we investigate assemblages of fungal spores,recently deposited in the bottom sediments of 24 small crater lakes in western Uganda,to assess the relationship between the local richness of fungi and environmental variation in the crater basin along regional gradients of natural vegetation and land *** recovered~9500 fungal spore specimens,which could be attributed to 216 *** an information-theoretic approach based on the corrected Akaike Information Criterion(AICc),we determined the environmental factors which best explained variation in the diversity of fungal spores among three datasets:(i)the full set of 24 crater basins,(ii)the subset of 22 basins with freshwater lakes,and(iii)the subset of 17 basins partly or completely in agricultural use(cropland,fallow land,pasture and plantation).In these 17 human-impacted crater basins our results revealed a negative relationship between fungal spore richness and the areal fraction of basins in agricultural ***,this detrimental effect of land use on fungal spore richness was not apparent across the full set of both disturbed and(presently)undisturbed *** was due to large variation in fungal spore richness among the undisturbed basins covered either with forest or savannah vegetation,probably resulting from site-specific controls on fungal habitat diversity,such as climatic moisture balance and the composition of natural and/or secondary *** land-use effects on fungal spore diversity,as documented in this study,suggest that communities of tropical fungi progressively exposed to land-use practices are threatened by species ***,our study demonstrates the need to develop conservation strategies mitigating the impacts of agriculture on the biodiversity o

关键词： fungal spores Richness Land use Lake basins Western Uganda

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A new spectral index for the quantitative identification of yellow rust using fungal spore information

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Big Earth Data 2021年第2期5卷 201-216页

作者： Yu Ren Huichun Ye Wenjiang Huang Huiqin Ma Anting Guo Chao Ruan Linyi Liu Binxiang Qian Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina Hainan Key Laboratory of Earth Observation Hainan Institute of Aerospace InformationChinese Academy of SciencesSanyaChina

Yellow rust(Puccinia striiformis ***)is a frequently occurring fungal disease of winter wheat(Triticum aestivum L.).During yellow rust infestation,fungal spores appear on the surface of the leaves as yellow and narrow stripes parallel to the leaf *** analyzed the effect of the fungal spores on the spectra of the diseased leaves to find a band sensitive to yellow rust and established a new vegetation index called the yellow rust spore index(YRSI).The estimation accuracy and stability were evaluated using two years of leaf spectral data,and the results were compared with eight indices commonly used for yellow rust *** results showed that the use of the YRSI ranked first for estimating the disease ratio for the 2017 spectral data(R^(2)=0.710,RMSE=0.097)and outperformed the published indices(R^(2)=0.587,RMSE=0.120)for the validation using the 2002 spectral *** random forest(RF),k-nearest neighbor(KNN),and support vector machine(SVM)algorithms were used to test the discrimination ability of the YRSI and the eight commonly used indices using a mixed dataset of yellow-rust-infested,healthy,and aphid–infested wheat spectral *** YRSI provided the best performance.

关键词： Yellow rust spectral index fungal spores quantitative identification hyperspectral remote sensing winter wheat

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