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Flora species as a surrogate to understand ditches hydrology sampling protocol

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HAL Id: hal-01525783

https://hal.archives-ouvertes.fr/hal-01525783

Submitted on 22 May 2017

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Flora species as a surrogate to understand ditches

hydrology sampling protocol

Fabrice Vinatier, Jean-Stéphane Bailly, Philippe Lagacherie

To cite this version:

Fabrice Vinatier, Jean-Stéphane Bailly, Philippe Lagacherie. Flora species as a surrogate to

un-derstand ditches hydrology sampling protocol. 4th International Multidisciplinary Conference on

Hydrology and Ecology (HydroEco 2013), May 2013, Rennes, France. �hal-01525783�

(2)

F

LORA SPECIES AS A SURROGATE TO

UNDERSTAND DITCHES HYDROLOGY

F

ABRICE

V

INATIER

1

, J

EAN

-S

TEPHANE

B

AILLY

1,2

AND

P

HILIPPE

L

AGACHERIE

1

1

UMR LISAH, F-34060, Montpellier, France

2

UMR LISAH (IRD-INRA-S

UP

A

GRO

), F-34060, M

ONTPELLIER

, F

RANCE

[email protected]

S

AMPLING PROTOCOL

The experimentation has been conducted in august 2012, on twelve species, selected for their visual facilities. An exhaustive

sampling of the occurence of each species along the ditch network have been assessed for a large watershed.

Alisma lanceolatum

Asparagus

acutifolius

Elytrigia juncea

Equisetum arvense

Lythrum portula

Mentha aquatica

Rumex crispus

Scirpus atrovirens

Sorghum halepense

Typha laxmannii

P

ROBLEM

Hydrological functionning of watersheds is assessed using

process-based approaches.

These approaches necessitate a

large sampling effort for parameterization, this effort

increas-ing with the scale considered. Therefore, it is necessary to find

sampling methods that are adapted to landscape scale where

the ecosystem services occur. We presented here how the

sam-pling of flora species can help hydrologists to parameterize

their models, by adressing two questions :

1. Is the spatial distribution of flora species related to

ge-omorphology ?

2. Is it possible to infer parameters for hydrological

mod-els on the basis of flora species distribution ?

G

EOMORPHOLOGICAL AND PEDOLOGICAL VARIABLES

Geomorphological variables have been calculated on the basis of a Digital Elevation Model at a

5-meters resolution.

Pedological zones are issued from an exhaustive survey of the zone.

Digital Elevation Model

Slope in percentage

Direction of each pixel

Multiresolution Index of Valley Bottom Flatness

Analytical Hillshading algorithm

Pedo 1 Pedo 10 Pedo 11 Pedo 12 Pedo 13 Pedo 14 Pedo 15 Pedo 16 Pedo 17 Pedo 18 Pedo 19 Pedo 2 Pedo 20 Pedo 3 Pedo 4 Pedo 5 Pedo 6 Pedo 7 Pedo 8 Pedo 9

Pedological zones

We applied a Random Forest Model on each of the given collected species. The variable to

ex-plain is the occurence of each species on a 5mx5m grid raster. The exex-plaining variables are the

environnemental variables described above.

For each species, we selected the value of the coefficient for each explaining variable only if the

corresponding p-value of the test is significative,

MNT

slope

aspect

mr

vbf

hillshade

ocsol

pedology

Arundo.donax

Typha.laxmannii

Rumex.crispus

Lythrum.portula

Sorghum.halepense

Scirpus.atrovirens

Elytrigia.juncea

Mentha.suaveolens

Mentha.aquatica

Asparagus.acutifolius

Equisetum.arvense

Alisma.lanceolatum

The most influential variables are the pedological zones and the land uses around the ditches.

Some variables, such as the MRVBF (Multiresolution Index of Valley Bottom Flatness) help

differenciate species.

E

COLOGICAL NICHES

The fundamental niche is an n-dimensional hypervolume, where the dimensions are

environ-mental conditions and the resources that define the requirements of an individual or a species to

practise "its" way of life. We make the hypothesis here that the realized niche, i.e. the occurence

of species on the ditch network is the same as the fundamental niche.

The ecological preferences of each species in terms of:

L

Luminosity

T

Temperature

C

Climate

HA

Wind

HE

Water

R

Acidity

N

Azote

S

Salinity

Tx

Granulometry

MO

Soil

is illustrated by:

5 6 7 8 9

Luminosity

5.0 5.5 6.0 6.5 7.0 7.5 8.0

Temperature

1 2 3 4 5

Climate

3 4 5 6 7 8 9

Wind

4 5 6 7 8 9

Water

4.0 4.5 5.0 5.5 6.0 6.5 7.0

Acidity

5.0 5.5 6.0 6.5 7.0 7.5 8.0

Azote

0 1 2 3 4 5 6

Salinity

1 2 3 4 5

Granulometry

1 2 3 4 5 6 7 8

Soil

L

T

C

HA

HE

R

N

S

Tx

MO

Arundo donax

Typha laxmannii

Rumex crispus

Lythrum portula

Sorghum halepense

Scirpus atrovirens

Elytrigia juncea

Mentha suaveolens

Mentha aquatica

Asparagus acutifolius

Equisetum arvense

Alisma lanceolatum

hyperheliophiles heliophiles intermediaires intermediaires heliophiles heliophiles hyperheliophiles heliophiles intermediaires intermediaires intermediaires intermediaires mesomediterraneennes mesomediterraneennes planitiaires a monta gnar des

planitiaires thermophiles, thermoatlantiques, thermocontinentales, submediterraneennes, supramediterraneennes eur

ymediterraneennes, mediterraneo−atlantiques planitiaires thermophiles, thermoatlantiques, thermocontinentales,

submediterraneennes, supramediterraneennes mesomediterraneennes

planitiaires thermophiles, thermoatlantiques, thermocontinentales, submediterraneennes, supramediterraneennes planitiaires a monta gnar des mesomediterraneennes planitiaires a monta gnar des planitiaires a monta gnar des oceaniques hyper oceaniques intermediaires suboceaniques suboceaniques oceaniques marines a maritimes oceaniques intermediaires oceaniques intermediaires intermediaires intermediaires intermediaires intermediaires intermediaires aer omeso xer ophiles intermediaires intermediaires intermediaires aer ohydr ophiles intermediaires intermediaires intermediaires

amphibies saisonnieres (heloph ytes e

xondes une par

tie minoritaire de l...annee)

amphibies saisonnieres (heloph ytes e

xondes une par

tie minoritaire de l...annee) hygr ophiles (cour tement inondab les, en semaines) hygr ophiles (cour tement inondab les, en semaines) mesoh ydriques hygr ophiles (cour tement inondab les, en semaines) mesoh ygr ophiles hygr ophiles (cour tement inondab les, en semaines) hydr

ophiles (longuement inondab les, en mois) meso xer ophiles meso xer ophiles amphibies permanentes (heloph

ytes semiemer

ges a base toujour s no yee) neutr ophiles neutr ophiles intermediaires intermediaires neutr ophiles acidoc lines (pH<5,5) neutr ophiles neutr oclines (pH>5,5) intermediaires neutr oclines (pH>5,5) intermediaires neutr ophiles eutr ophiles intermediaires eutr ophiles mesotr ophiles intermediaires mesotr ophiles mesoeutr ophiles mesoeutr ophiles mesoeutr ophiles mesotr ophiles mesoeutr ophiles mesotr ophiles ne suppor tant pas le sel hyper

oligohalines, [0−0,1% Cl−] mesohalines, [0,7−0,9% Cl−]

ne suppor tant pas le sel hyper

oligohalines, [0−0,1% Cl−] ne suppor

tant pas le sel hyper

oligohalines, [0−0,1% Cl−] mesohalines, [0,7−0,9% Cl−]

ne suppor tant pas le sel hyper

oligohalines, [0−0,1% Cl−] ne suppor

tant pas le sel hyper oligohalines, [0−0,1% Cl−] argile intermediaire argile limon sab le fin argile sab le gr ossier intermediaire argile sab le gr ossier limon argile anmoor , gyttja anmoor , gyttja anmoor , gyttja mull actif mull acide lithosol, arenosol anmoor , gyttja anmoor , gyttja mull carbonate mull actif anmoor , gyttja

We observed a spatial variability of the environmental conditions along the ditches. This

variability needs to be studied in comparison with observation data to confirm that the niche

hypothesis is validated for these species.

F

UTURE PROSPECTS

Future prospects of the study would be:

1. automatisation of the sampling protocol of flora species using a mobile smartphone coupled to a GPS

2. measuring the local environmental conditions using a moisture and a solar sensor

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