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Communication Dans Un Congrès Année : 2018

Geomorphological variables to predict the spatial distribution of plant species in agricultural ditches

Résumé

Background : In Mediterranean cultivated lands, exogenous variables controlling spatial distribution of non-cropped plant species at the landscape scale are habitat variables, seed-sources proximity, and lastly human practices. In order to manage ecosystem services provided by head catchments drainage networks (ditch networks), we need to predict spatial distribution of plant species living in them. Geomorphological variables have shown to be important habitat variables in other ecosystems (riverine, wetlands,...), but whether such variables can be used to predict plant distribution in ditch drainage networks is unknown. An arising question is then : which is the importance of geomorphological landforms in driving plant species distribution at the ditch network scale ? Methodology : We collected presence and absence data for 10 plant species (herbaceous) on a 35- km drainage ditches network in a Mediterranean agricultural landscape. We simulated their spatial distribution using geomorphological and land-use derivative variables (representative of seed- sources proximity) with Maxent and GLM model. Each plant species was considered separately and each model was validated using k-fold cross-validation (k=4). We compared mean AUC (Area Under the Curve) values obtained for each model and relative importance of explanatory variables. We analysed compiled false positive and false negative residual maps. Results : Mean AUC values for Maxent model ranged from 0.92 for Mentha aquatica to 0.67 for Rubus fruticosus. Mean AUC values for GLM ranged from ranged from 0.86 for Lythrum salicaria to 0.61 for Rubus fruticosus and Sorghum halepense. Both geomorphological and land-use derivative variables were important to explain Asparagus Acutifolius, Equisetum arvense, Mentha aquatica, Mentha suaveolens, Rumex crispus, Scirpus holoschoenus distribution and only geomorphological variables well explained Lythrum salicaria distribution. The models failed to explain accurately Sorghum halepense, Rubus fruticosus and Elytrigia juncea distribution. Compiled residual maps showed a false positive predictions pattern at the South of the catchment. Conclusion : We highlighted the importance of considering geomorphological variables to explain spatial distribution of plant species in Mediterranean head catchments drainage ditches. Results suggested that part of the remaining non-explained variability for some species was induced by human practices. Agro-ecological measures aiming at managing ecosystem services provided by ditch networks have to consider plant specific predictors at the local and landscape scale in order to be successful. They further have to investigate human practices effects on ditch plant distribution.
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Dates et versions

hal-01680048 , version 1 (17-01-2018)

Identifiants

  • HAL Id : hal-01680048 , version 1

Citer

Gabrielle Rudi, Jean-Stéphane Bailly, Fabrice Vinatier. Geomorphological variables to predict the spatial distribution of plant species in agricultural ditches. HydroEco 2017 - Ecohydrology on the Edge: ecology‐hydrology‐human interactions in a changing world - 6 th International Multidisciplinary Conference on Hydrology and Ecology, Jun 2018, Birmingham, United Kingdom. ⟨hal-01680048⟩
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