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This lit_review_data_and_code.zip file contains all data and code associated with the paper submitted to Ecology Letters, Effects of local management and landscape complexity on insects and ecosystem services in agroecosystems: A review of the intermediate landscape complexity hypothesis.

DATA & FILE OVERVIEW

cho_and_poveda_2026.zip file

|- lit_review_analysis_general.ipynb\
|- lit_review_interactions.Rmd\
|- Data/\
|  |- lit_review_data.csv\
|  |- lit_review_landscape_percents.csv\
|  |- landscape_inverted.csv\
|  |- Interaction_Analyses/\
|  |  |- lit_review_interactions.csv\
|  |  |- lit_review_recat_europe_for_analysis.csv\
|  |  |- lit_review_recat_for_analysis.csv\
|  |  |- lit_review_recat_na_for_analysis.csv

Methodological information

Description of methods used for collection/generation of data:

• Data extracted from papers listed in Supporting Information Table S1. Data were extracted by CYC. Half of the papers were double-checked for accuracy.

Methods for processing the data:

• All data analysis was done using the code in lit_review_analysis_general.ipynb and lit_review_interactions.Rmd.

Instrument- or software-specific information needed to interpret the data:

• All analyses are done in Python (Version 3.11.5) and R, version 4.2.2 (R Core Team, 2022)

  Python libraries

  • pandas version v1.5.3
  • numpy version v1.24.3
  • seaborn version v0.13.2
  • skimpy version v0.0.21
  • matplotlib version v3.7.1
  • scipy version v1.10.1
  • statsmodels version v0.14.0

  R libraries

  • tidyverse v2.0.0
  • dplyr v.1.1.4
  • janitor v.2.2.1
  • blme v.1.0.6
  • lme4 v.1.1.36

Data-Specific information for: lit_review_data.csv

Data extracted from papers included in the review.

• Number of variables: 16
• Number of cases/rows: 651
• Variable List:
  • Title,
  • Author,
  • Year,
  • Country,
  • Continent,
  • Response: Description of measured variable,
  • Response Category: Natural enemies, pollinators, pests, crops, or arthropods,
  • Response Type: Biodiversity or ecosystem services,
  • Local Factor: Description of local management practice,
  • Local Strategy: Reduced management intensity, floral resources, crop diversity, or structural modifications,
  • Local Effect: Positive, negative, or non-significant response to local management,
  • Radius: Size of measured area for landscape complexity,
  • Minimum Complexity: Lowest measurement of complexity for the study,
  • Maximum Complexity: Highest measurement of complexity for the study,
  • Landscape Effect: Positive, negative, or non-significant response to landscape complexity,
  • Interaction Effect: Positive, negative, or non-significant response to the interaction between local management and landscape complexity.
• Missing data codes: NA

Data-Specific information for: lit_review_landscape_percents.csv

• Number of variables: 10
• Number of cases/rows: 138
• Variable List:
  • Title,
  • Author,
  • Year,
  • Simple Start: Low end of simple landscape category,
  • Simple End: High end of simple landscape category,
  • Int Start: Low end of intermediate landscape category,
  • Int End: High end of intermediate landscape category,
  • Complex Start: Low end of complex landscape category,
  • Complex End: High end of complex landscape category,
  • Metric: Way of measuring landscape complexity
• Missing data codes: NA

Data-Specific information for: lit_review_landscape_percents.csv

• Number of variables: 5
• Number of cases/rows: 138
• Variable List:
  • Title,
  • Author,
  • Year,
  • Metric: Way of measuring landscape complexity,
  • Inverted: Yes/No if a measure of landscape simplification was converted to complexity
• Missing data codes: NA

Data-Specific information for: lit_review_interactions.csv

• Number of variables: 19
• Number of cases/rows: 95
• Variable List:
  • Obs_ID,
  • Title,
  • Author,
  • Year,
  • Response: Description of measured variable,
  • Response Type: Biodiversity or ecosystem services,
  • Response Category: Natural enemies, pollinators, pests, crops, or arthropods,
  • Local Factor: Description of local management practice,
  • Local Strategy: Reduced management intensity, floral resources, crop diversity, or structural modifications,
  • Local Effect: Positive, negative, or non-significant response to local management,
  • Landscape Gradient: Range of most to least complex landscape,
  • Landscape Effect: Positive, negative, or non-significant response to landscape complexity,
  • Interaction Effect: Positive, negative, or non-significant response to the interaction between local management and landscape complexity,
  • Simple Collapsed: Positive or non-positive responses of the above observations in simple landscapes,
  • Intermediate Collapsed: Positive or non-positive responses of the above observations in intermediate landscapes,
  • Complex Collapsed: Positive or non-positive responses of the above observations in complex landscapes,
  • Simple: Positive, negative, or non-significant responses of the above observations in simple landscapes,
  • Intermediate: Positive, negative, or non-significant responses of the above observations in intermediate landscapes,
  • Complex: Positive, negative, or non-significant responses of the above observations in complex landscapes
• Missing data codes: NA

Data-Specific information for: lit_review_recat_europe_for_analysis.csv, lit_review_recat_for_analysis.csv, lit_review_recat_na_for_analysis.csv

• Number of variables: 5
• Number of cases/rows: 60, 126, 57
• Variable List:
  • Title,
  • Author,
  • Year,
  • Simple Pos: 0 or 1 for not observed or observed response for this local/landscape pairing,
  • Simple NS: 0 or 1 for not observed or observed response for this local/landscape pairing,
  • Simple Neg: 0 or 1 for not observed or observed response for this local/landscape pairing,
  • Intermediate Pos: 0 or 1 for not observed or observed response for this local/landscape pairing,
  • Intermediate NS: 0 or 1 for not observed or observed response for this local/landscape pairing,
  • Intermediate Neg: 0 or 1 for not observed or observed response for this local/landscape pairing,
  • Complex Pos: 0 or 1 for not observed or observed response for this local/landscape pairing,
  • Complex NS: 0 or 1 for not observed or observed response for this local/landscape pairing,
  • Complex Neg: 0 or 1 for not observed or observed response for this local/landscape pairing,
• Missing data codes: NA

Code/Software

lit_review_analysis_general.ipynb: Contains code for Figures 1-3, Supporting Information Figures S1 and S2.

lit_review_interactions.Rmd: Contains code for mixed-effects logistic regression models 1-4 (Table 3, Supporting Information Tables S2-5).