ABSTRACT
This study investigated the effects of spatial and environmental factors and their interactions on plant species composition in salt marsh (Sabkha) ecosystem located in arid region (Saudi Arabia). The plant species and environmental variables were investigated in 38 sites located in three regions. A total of 15 environmental variables were measured in each site and the geographical coordinates were used to extract spatial variables (using PCNM). A total of 81plant species were reported from 38 sites. The three regions showed patterns of homogeneity of multivariate dispersions (i.e. beta diversity). The PCNM analysis extracted 18 PCNM vectors and only 3 vectors were retained after forward selection. The spatial variables (selected PCNM vectors) explained only 3.21% of the variation in species composition of plants (using variation partitioning technique). However, eight environmental variables were selected after forward selection (Lead, Copper, total organic matter, Potassium, Magnesium, pH, Zinc and Iron, F= 4.72, P<0.05) and explained 19.61% of the total variation in the species composition. In conclusion, the plant communities in Sabkhas were not spatially structured due to the low percentage of variation explained by the spatial variables (PCNM vectors). The environmental variables were corresponded to the high fraction of variation explained. On the other hand, Sabkhas in Saudi Arabia are considered a hot spot for diversity not only for plants but for other animals (birds, vertebrates and invertebrates). Therefore, immediate conservation plans should be implemented to reduce the adverse effect of urbanization, industrialization as well as other anthropogenic activities.
Subject(s)
Ecosystem , Trees , Animals , Biodiversity , Birds , WetlandsABSTRACT
This study investigated the effects of spatial and environmental factors and their interactions on plant species composition in salt marsh (Sabkha) ecosystem located in arid region (Saudi Arabia). The plant species and environmental variables were investigated in 38 sites located in three regions. A total of 15 environmental variables were measured in each site and the geographical coordinates were used to extract spatial variables (using PCNM). A total of 81plant species were reported from 38 sites. The three regions showed patterns of homogeneity of multivariate dispersions (i.e. beta diversity). The PCNM analysis extracted 18 PCNM vectors and only 3 vectors were retained after forward selection. The spatial variables (selected PCNM vectors) explained only 3.21% of the variation in species composition of plants (using variation partitioning technique). However, eight environmental variables were selected after forward selection (Lead, Copper, total organic matter, Potassium, Magnesium, pH, Zinc and Iron, F= 4.72, P<0.05) and explained 19.61% of the total variation in the species composition. In conclusion, the plant communities in Sabkhas were not spatially structured due to the low percentage of variation explained by the spatial variables (PCNM vectors). The environmental variables were corresponded to the high fraction of variation explained. On the other hand, Sabkhas in Saudi Arabia are considered a hot spot for diversity not only for plants but for other animals (birds, vertebrates and invertebrates). Therefore, immediate conservation plans should be implemented to reduce the adverse effect of urbanization, industrialization as well as other anthropogenic activities.
Este estudo investigou os efeitos de fatores espaciais e ambientais e suas interações na composição de espécies vegetais no ecossistema de sapal (Sabkha) localizado na região árida (Arábia Saudita). As espécies vegetais e variáveis ââambientais foram investigadas em 38 locais localizados em três regiões. Um total de 15 variáveis ââambientais foi medido em cada local, e as coordenadas geográficas foram usadas para extrair as variáveis ââespaciais (usando PCNM). Um total de 81 espécies de plantas foi relatado em 38 locais. As três regiões mostraram padrões de homogeneidade de dispersões multivariadas (ou seja, diversidade beta). A análise PCNM extraiu 18 vetores PCNM e apenas 3 vetores foram retidos após a seleção direta. As variáveis ââespaciais (vetores PCNM selecionados) explicaram apenas 3,21% da variação na composição de espécies das plantas (utilizando a técnica de partição de variação). No entanto, 8 variáveis ââambientais foram selecionadas após seleção direta (chumbo, cobre, matéria orgânica total, potássio, magnésio, pH, zinco e ferro, F = 4,72, P < 0,05) e explicaram 19,61% da variação total na composição de espécies. Em conclusão, as comunidades vegetais em Sabkhas não foram espacialmente estruturadas devido à baixa porcentagem de variação explicada pelas variáveis ââespaciais (vetores PCNM). As variáveis ââambientais corresponderam à alta fração de variação explicada. Por outro lado, os Sabkhas na Arábia Saudita são considerados um hot spot de diversidade não apenas para plantas, mas para outros animais (aves, vertebrados e invertebrados). Portanto, planos de conservação imediatos devem ser implementados para reduzir os efeitos adversos da urbanização, industrialização e outras atividades antrópicas.