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Distribution of Stem Borer Pests and Natural Enemy Species in Kenya and Tanzania under Current Climatic Conditions (1970-2000) and Different Climate Change Scenarios (2041-2060, 2081-2100)

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Persistent identifier
doi:10.60507/FK2/OBGEAR
Published version
1.0
Publication date
2023-09-18
License
CC BY-SA 4.0

Description

The research within the scope of which the presented data was generated was part of the funding initiative ‘Knowledge for Tomorrow-Cooperative Research Project in sub-Saharan Africa on Resource, their Dynamics, and Sustainability’ funded by the Volkswagen Foundation. The overall study aimed at investigating the uncertainties in the effectiveness of biological control of stem borers under different climate change scenarios in Kenya and Tanzania. Using the species distribution modelling approach MaxEnt, the research predicts the current and future distribution of three important lepidopteran stem borer pests of maize in eastern Africa, i.e., Busseola fusca (Fuller, 1901), Chilo partellus (Swinhoe, 1885) and Sesamia calamistis (Hampson, 1910), and two of their parasitoids used for biological control, i.e., Cotesia flavipes (Cameron, 1891) and Cotesia sesamiae (Cameron, 1906). Based on these potential distributions and data collected during household surveys with local farmers in Kenya and Tanzania, future maize yield losses are predicted considering three different Global Circulation Models (GCMs) for four different Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP 3-7.0, SSP5-8.5) and two time periods, i.e., 2041-2060 and 2081-2100. The rasters show the species predicted current and future distribution for four different SSPs and time periods 2041-2060 and 2081-2100. The distribution rasters are based on a raster displaying probability of habitat suitability which was converted into binary range maps by application of different threshold levels, i.e., 1) Balance training omission, predicted area and threshold values Cloglog threshold, 2) Maximum training sensitivity plus specificity Cloglog threshold, 3) Equal training sensitivity and specificity Cloglog threshold and 4) 10th percentile training presence Cloglog threshold. Grid cells carrying a probability value above the respective threshold show species presence (cell assigned a value of 1), while grid cells with a probability value below the threshold show species absence (cell assigned a value of 0). Accordingly, 4 presence-absence rasters were obtained for a species current distribution and calculated in their sum, while 12 presence-absence rasters were calculated for each climate change scenario, subsequently also calculated in their sum. The raster therefore specifies grid cells where species distribution is predicted to be more (grid cell carrying a high sum value), or less, likely (grid cell carrying a low cell value).

Creators

Keywords

natural enemy, stem borer pest, parasitoid, integrated pest management, species distribution, biota, farming

Files

Before downloading: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
metadata.xmltext/xml28493MD5 c270567161e2903262a0f635b6947a98
Map-new.PNGimage/png19955MD5 971f2bf7bd4cbd38c80b8c44c17fe614
ZEF_bio_stem-borer-distribution-modelled_tanzania-kenya-ras.zipapplication/zip1728226MD5 6c13933fee282202056ab1cea4b36758

Citation

Ines Jendritzki, 2023-09-18, Distribution of Stem Borer Pests and Natural Enemy Species in Kenya and Tanzania under Current Climatic Conditions (1970-2000) and Different Climate Change Scenarios (2041-2060, 2081-2100), doi:10.60507/FK2/OBGEAR, V1.0

Additional Dataverse fields

Id118
Dataset Typedataset
Internal Version Number8
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:42:48Z
Create Time2023-09-18T09:01:27Z
Citation Date2023-09-18
File Access RequestTrue

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Complete Dataverse metadata

Citation Metadata

Title title
Distribution of Stem Borer Pests and Natural Enemy Species in Kenya and Tanzania under Current Climatic Conditions (1970-2000) and Different Climate Change Scenarios (2041-2060, 2081-2100)
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    b51b4030-fb4a-41c0-9e50-45a329392418
Author author
  1. Author Name
    Ines Jendritzki
    Author Affiliation
    Center for Development Research, Department Ecology and Natural Resources Management (ZEF C), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Ines Jendritzki
    Dataset Contact Affiliation
    Center for Development Research, Department Ecology and Natural Resources Management (ZEF C), University of Bonn
    Dataset Contact Email
    i.jendritzki@gmx.de
Ds Description dsDescription
  1. Ds Description Value
    The research within the scope of which the presented data was generated was part of the funding initiative ‘Knowledge for Tomorrow-Cooperative Research Project in sub-Saharan Africa on Resource, their Dynamics, and Sustainability’ funded by the Volkswagen Foundation. The overall study aimed at investigating the uncertainties in the effectiveness of biological control of stem borers under different climate change scenarios in Kenya and Tanzania. Using the species distribution modelling approach MaxEnt, the research predicts the current and future distribution of three important lepidopteran stem borer pests of maize in eastern Africa, i.e., Busseola fusca (Fuller, 1901), Chilo partellus (Swinhoe, 1885) and Sesamia calamistis (Hampson, 1910), and two of their parasitoids used for biological control, i.e., Cotesia flavipes (Cameron, 1891) and Cotesia sesamiae (Cameron, 1906). Based on these potential distributions and data collected during household surveys with local farmers in Kenya and Tanzania, future maize yield losses are predicted considering three different Global Circulation Models (GCMs) for four different Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP 3-7.0, SSP5-8.5) and two time periods, i.e., 2041-2060 and 2081-2100. The rasters show the species predicted current and future distribution for four different SSPs and time periods 2041-2060 and 2081-2100. The distribution rasters are based on a raster displaying probability of habitat suitability which was converted into binary range maps by application of different threshold levels, i.e., 1) Balance training omission, predicted area and threshold values Cloglog threshold, 2) Maximum training sensitivity plus specificity Cloglog threshold, 3) Equal training sensitivity and specificity Cloglog threshold and 4) 10th percentile training presence Cloglog threshold. Grid cells carrying a probability value above the respective threshold show species presence (cell assigned a value of 1), while grid cells with a probability value below the threshold show species absence (cell assigned a value of 0). Accordingly, 4 presence-absence rasters were obtained for a species current distribution and calculated in their sum, while 12 presence-absence rasters were calculated for each climate change scenario, subsequently also calculated in their sum. The raster therefore specifies grid cells where species distribution is predicted to be more (grid cell carrying a high sum value), or less, likely (grid cell carrying a low cell value).
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    biota
  2. Subject Refinement Value
    farming
Free Keyword freeKeyword
  1. Free Keyword Value
    natural enemy
  2. Free Keyword Value
    stem borer pest
  3. Free Keyword Value
    parasitoid
  4. Free Keyword Value
    integrated pest management
  5. Free Keyword Value
    species distribution
  6. Free Keyword Value
    biota
  7. Free Keyword Value
    farming
Topic Classification topicClassification
  1. Topic Class Value
    agricultural ecology
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  2. Topic Class Value
    agricultural pest
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    integrated pest control
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  4. Topic Class Value
    climatic change
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  5. Topic Class Value
    biological pest control
    Topic Class Vocab
    GEMET - Concepts, version 2.4
Notes Text notesText
This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={b51b4030-fb4a-41c0-9e50-45a329392418}.<br/> The naming of files follows the syntax: first letters of species name_SSP_time period_binarysum (= sum of 12 binary range maps)
Language language
  1. English
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    1970-01-01
    Time Period Covered End
    2000-12-31
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2021-05-01
    Date Of Collection End
    2021-05-01
Software software
  1. Software Name
    Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
Other References otherReferences
  1. International Centre for Insect Physiology and Ecology (icipe)

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Other Geographic Coverage
    Tanzania
  2. Country
    Kenya
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    29.416667
    East Longitude
    41.916667
    North Latitude
    4.625
    South Latitude
    -11.708333
Coordinate Reference System CoordinateReferenceSystem
Coordinate Reference System.code Space
EPSG
Coordinate Reference System.code
4326
Coordinate Reference System.version
6.14(3.0.1)

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