Improving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variables

Questions Soil properties have been widely shown to influence plant growth and distribution. However, the degree to which edaphic variables can improve models based on topo-climatic variables is still unclear. In this study, we tested the roles of seven edaphic variables, namely (1) pH; (2) the content of nitrogen and of (3) phosphorus; (4) silt; (5) sand; (6) clay and (7) carbon-to-nitrogen ratio, as predictors of species distribution models in an edaphically heterogeneous landscape. We also tested how the respective influence of these variables in the models is linked to different ecological and functional species characteristics. Location The Western Alps, Switzerland. Methods With four different modelling techniques, we built models for 115 plant species using topo-climatic variables alone and then topo-climatic variables plus each of the seven edaphic variables, one at a time. We evaluated the contribution of each edaphic variable by assessing the change in predictive power of the model. In a second step, we evaluated the importance of the two edaphic variables that yielded the largest increase in predictive power in one final set of models for each species. Third, we explored the change in predictive power and the importance of variables across plant functional groups. Finally, we assessed the influence of the edaphic predictors on the prediction of community composition by stacking the models for all species and comparing the predicted communities with the observed community. Results Among the set of edaphic variables studied, pH and nitrogen content showed the highest contributions to improvement of the predictive power of the models, as well as the predictions of community composition. When considering all topo-climatic and edaphic variables together, pH was the second most important variable after degree-days. The changes in model results caused by edaphic predictors were dependent on species characteristics. The predictions for the species that have a low specific leaf area, and acidophilic preferences, tolerating low soil pH and high humus content, showed the largest improvement by the addition of pH and nitrogen in the model. Conclusions pH was an important predictor variable for explaining species distribution and community composition of the mountain plants considered in our study. pH allowed more precise predictions for acidophilic species. This variable should not be neglected in the construction of species distribution models in areas with contrasting edaphic conditions.

Audit report on Indian Hills Community College in Ottumwa, Iowa for the year ended June 30, 2010

Audit report on Indian Hills Community College in Ottumwa, Iowa for the year ended June 30, 2010

Lettre d'un ancien professeur en medecine de la faculté de Paris, a M. Vandermonde, auteur du Journal de medecine, censeur royal, &c. Pour servir de réponse à la Lettre d'un médecin de province à un médecin de Paris . Cette lettre fait la troisiéme piéce d'un ecrit intitulé Recueil de plusieurs piéces concernant le Traité des tumeurs & ulceres, &c.

Comprend : Lettre d'un médecin de province à un médecin de Paris

Iowa Trails: Connecting People and Trails: Local Community Planning for Bicyclists and Pedestrians, 2000

Many communities in Iowa have expressed a desire to develop a plan for better accommodating pedestrians and bicyclists in their community. This desire results from the recognition that walking and bicycling are popular recreational activities and, are increasingly important as “alternative transportation modes.” Recognizing the desire on the part of communities to create better conditions for bicycling and walking, the Iowa DOT developed this handbook as part of Iowa Trails 2000. This handbook outlines the steps and resources required to create a comprehensive system of bicycle and pedestrian facilities. Such a system can serve local needs and connect communities to the Iowa State Trails System and other regional attractions.

An agency-oriented model to explain vine-growing specialization in the province of Barcelona (Catalonia, Spain) in the mid-nineteenth century

[cat] En aquest treball presentem un model per explicar el procés d’especialització vitícola assolit als municipis de la província de Barcelona, a mitjans del s. XIX,que cerca entendre com va sorgir històricament un avantatge comparatiu fruit d’un procés que esdevindria un dels punts de partida del procés d’industrialització a Catalunya. Els resultats confirmen els papers jugats pel impuls “Boserupià” de la població en un context d’intensificació de l’ús de la terra, i d’un impuls del mercat “Smithià” en un context d’expansió de la demanda per part de les economies atlàntiques. També es posa de manifest la importància de les dotacions agro-ecològiques i les condicions socioinstitucionals relacionades amb la desigualtat d’ingrés. La difusió de la vinya donà com a resultat unes comunitats rurals menys desiguals fins al 1820, tot i que aquesta desigualtat augmentà de nou a partir d'aleshores.