Data from: Optimising spatial distribution of mass-flowering patches at the landscape scale to increase crop pollination (doi:10.15454/UNVSGN)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Data from: Optimising spatial distribution of mass-flowering patches at the landscape scale to increase crop pollination

Identification Number:

doi:10.15454/UNVSGN

Distributor:

Portail Data INRAE

Date of Distribution:

2021-06-03

Version:

4

Bibliographic Citation:

Desaegher, James; Sheeren, David; Ouin, Annie, 2021, "Data from: Optimising spatial distribution of mass-flowering patches at the landscape scale to increase crop pollination", https://doi.org/10.15454/UNVSGN, Portail Data INRAE, V4, UNF:6:4FZD14zUUBcZFTnOodzqng== [fileUNF]

Study Description

Citation

Title:

Data from: Optimising spatial distribution of mass-flowering patches at the landscape scale to increase crop pollination

Identification Number:

doi:10.15454/UNVSGN

Authoring Entity:

Desaegher, James (Université de Toulouse, INRAE, UMR DYNAFOR, Castanet-Tolosan, France)

Sheeren, David (Université de Toulouse, INRAE, UMR DYNAFOR, Castanet-Tolosan, France)

Ouin, Annie (Université de Toulouse, INRAE, UMR DYNAFOR, Castanet-Tolosan, France)

Other identifications and acknowledgements:

Heintz, Wilfried

Other identifications and acknowledgements:

Desaegher, James

Other identifications and acknowledgements:

Desaegher, James

Producer:

Desaegher, James

Date of Production:

2021-05-20

Distributor:

Portail Data INRAE

Access Authority:

Desaegher, James

Depositor:

Heintz, Wilfried

Study Scope

Keywords:

Biodiversity and Ecology, pollination, agriculture, ecological intensification, competition, facilitation, InVEST, mass-flowering crops, sunflower, wildflower strips

Abstract:

Implanting new plots of mass-flowering resources in landscapes can have both positive and negative effects on pollinator visitation rates to crops. We investigated the effects of flowering plot characteristics on the best places to locate new co-flowering plots to optimise crop pollination. First, we parameterised and validated an existing pollination model with field data. Then, we ran two simulation experiments, both of which simulated the conversion of one or multiple plots by modifying their flowering and nesting resource attributes. We quantified changes in pollinator visitation rates to "target" sunflower fields according to different conversion scenarios. The data set is composed of (i) the validation of the spatially explicit InVEST pollination model using field data collected in the Vallées et Coteaux de Gascogne (France), and (ii) the results associated with the two simulation experiments using InVEST pollination model. For the validation of model parameters, we sampled wild bees in 30 sites with three coloured pan traps per sampling site. We compared the predicted visitation rates vs the observed total abundance of bees in the pan traps. The visitation rate predictions were calculated in different radii around the sampling sites (from 1 to 100 m in increments of 1 m). The first experiment simulated the conversion of the flowering and nesting attributes of 1800 plots according to four scenarios (wildflower plot, sunflower field, More flowers, More nests). Changes in visitation rates induced by plot conversion were assessed in 368 target sunflower fields and then analysed according to the distance separating the converted plots from the target sunflower fields. For statistical replication, we divided our study area into 15 circular sectors. The radius of the circular sectors was 5 km and the sectors were centered on the centroid of a target sunflower field. The second simulation experiment quantified changes in visitation rates caused by the conversion of multiple plots into sunflower fields which are isolated to greater or less extents (Isolation vs Aggregation scenario). The target sunflower fields used to assess changes in visitation rates were the 15 sunflower fields defining the centre of the 15 circular sectors and the converted sunflower fields.

Geographic Coverage:

SRID=2154;POLYGON ((0.7490927 43.32259, 0.9743125 43.32259, 0.9743125 43.2271, 0.7490927 43.2271, 0.7490927 43.32259))

Kind of Data:

Dataset

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Materials

dynafor: http://wheintz.github.io/assets/img/Dynafor.jpg

partnership: Zone Atelier Pygar - https://pygar.omp.eu

Invest_Platform: https://naturalcapitalproject.stanford.edu/software/invest

File Description--f114038

File: Simulation and Validation dataset-1.tab

  • Number of cases: 44528

  • No. of variables per record: 9

  • Type of File: text/tab-separated-values

Notes:

UNF:6:4FZD14zUUBcZFTnOodzqng==

Variable Description

List of Variables:

Variables

Circularsector

f114038 Location:

Summary Statistics: Max. 15.0; Min. 1.0; StDev 3.858439479646189; Mean 9.622282608697683; Valid 44528.0;

Variable Format: numeric

Notes: UNF:6:UJ10guv5bCHT7vnYHwlCrA==

NameTargetfield

f114038 Location:

Variable Format: character

Notes: UNF:6:G130VId/1I+pALXjgg9NBQ==

Conversioniteration

f114038 Location:

Variable Format: character

Notes: UNF:6:B+0twjMtqCOicSTIdn6IiA==

Visitationrate

f114038 Location:

Summary Statistics: Max. 0.05074776758; StDev 0.006564100722604345; Valid 44528.0; Min. 0.0195305703; Mean 0.031481250939452254;

Variable Format: numeric

Notes: UNF:6:1PEFK5U/s+Di26CqrP9b8A==

PercentagechangeinVisitationrate

f114038 Location:

Summary Statistics: Valid 44528.0; Max. 1.72434027555557; StDev 0.425162693934424; Min. -11.2261282211908; Mean -0.027677683837562007

Variable Format: numeric

Notes: UNF:6:VkT7S91MzG0zjtrIxPcZ2A==

Distancefromconvertedplot

f114038 Location:

Summary Statistics: StDev 815.1645836968161; Valid 44528.0; Max. 3868.469360561; Min. 0.0; Mean 1680.9071002784706

Variable Format: numeric

Notes: UNF:6:uY+IbIuJmaHlx0R20CMyFg==

Areaconvertedplot

f114038 Location:

Summary Statistics: StDev 34596.744232618; Max. 405681.7212; Min. 0.0; Mean 21646.942399110245; Valid 44528.0;

Variable Format: numeric

Notes: UNF:6:g85uZ1fldE7exZeY3Eq1mw==

Areacategoryconvertedplot

f114038 Location:

Variable Format: character

Notes: UNF:6:yFJeNxr1FN38Hz+QXFllfg==

IDLandusebeforeconversion

f114038 Location:

Summary Statistics: Max. 86.0; StDev 18.948882966580182; Valid 44528.0; Min. 0.0; Mean 20.30657114624488

Variable Format: numeric

Notes: UNF:6:2fm3UaDM+FLwvfSP9EcLRg==

Other Study-Related Materials

Label:

pacse_jae_ISO-19115.xml

Text:

Notes:

text/xml