Data from: Isolating the role of the matrix at patch and landscape scales
Data files
Jun 11, 2025 version files 155.47 KB
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MatrixScale_DetectionHistory.csv
41.63 KB
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MatrixScale_PopulationSurveys.csv
109.66 KB
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README.md
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Abstract
Global increases in habitat loss and fragmentation have resulted in non-habitat land cover, or the matrix, becoming an increasingly prominent feature of landscapes. The matrix can influence the population dynamics of species in fragments by modifying processes operating locally on individual patches (e.g., edge effects on survival) or at landscape scales (e.g., inter-patch dispersal). However, the relative magnitude of patch- vs. landscape-scale matrix effects on the populations found in patches remains unclear. We established 12 experimental landscapes in which we controlled for habitat amount and fragmentation while manipulating the quality of the matrix around (i) individual habitat patches and (ii) across the entire landscape in a factorial design. We then compared the magnitude of local- and landscape-scale matrix effects on a specialist herbivore, Chelinidea vittiger (Hemiptera: Coreidae). Population size in fragments was influenced by both patch- and landscape-scale treatments: population size increased in patches surrounded by high-quality matrix, but only in landscapes dominated by low-quality matrix, due in part to decreased inter-patch movements in these landscapes. In contrast, the effects on both survival and reproductive output were solely at the patch-scale, with both lower in patches surrounded by low-quality matrix. Our results underscore the outsized importance of matrix habitat immediately adjacent to fragment edges -- even though patch-scale manipulations affected only a fraction (3%) of the area that landscape-scale manipulations did, patch-scale effects were more common. The relationship between dispersal, population size, and scale-dependent effects of matrix quality emphasizes the need to explicitly consider the spatial scale at which different processes operate when predicting responses to habitat fragmentation. Our results also suggest that the matrix immediately adjacent to habitat remnants is of particular importance when considering alternative strategies for landscape conservation or restoration.
Dataset DOI: 10.5061/dryad.kprr4xhh6
Description of the data and file structure
Data is from experimental landscapes set up to test the scale of matrix effects across fragmented landscapes. Forty patches of Opuntia cactus were experimentally planted in 50 by 50-meter landscapes. A total of twelve landscapes were constructed with each in a spatially blocked pair. The matrix vegetation was mechanically reduced at two scales: either a 1m directly surrounding a patch or the remaining landscape 1m away from all patches. Cactus bugs (Chelinidea vittiger) were released in these landscapes and then followed for 3 years across 11 sampling periods. Data set 1 corresponds to population surveys of adult and nymphs for C. vittiger, and data set 2 is the mark recapture histories for all adults in the experiment.
Files and variables
File: MatrixScale_PopulationSurveys.csv
Description: Abundance data at the patch scale for both adults and nymphs of Chelinidea vittiger in the experiment across 11 surveys.
Variables
- Plot_Number: This is the landscape ID for the twelve experimental landscapes in the experiment
- Pair: This is the "block" term for the spatial pairs for each landscape
- PatchID: This is the individual patch ID for each of the 40 patches contained in each landscapes.
- Adults: Count of adults observed on individual patches for a given survey.
- Nymphs: Count of nymphs observed on individual patches for a given survey
- Period: Ordered rank survey number indicating which of the 11 sampling period the row corresponds with.
- SurveyYear: Numerical year of survey, ranges from 2019-2021
- patchtrt: Variable describing which patch scale treatment an individual patch received. "Y" corresponds to mechanical reduction of the matrix directly surrounding the patch. "N" corresponds to control patch matrix.
- landscapetrt: Variable describing which landscape scale treatment the landscape a patch is in received. "Y" corresponds to mechanical reduction of the matrix across the landscape. "N" corresponds to control landscape matrix.
File: MatrixScale_DetectionHistory.csv
Description: The multi-state detection histories for all adult C. vittiger marked and recaptured across the 11 time periods sampled in the surveys.
Variables
- BugID: Individual adult identification code
- Plot_Number: The experimental landscape the individual was in through the course of the experiment.
- landscapetrt: The experimental treatment a particular landscape received. "Y" corresponds to mechanical reduction of the matrix across the landscape. "N" corresponds to control landscape matrix.
- 1: Initial sampling period: "0" indicates no detected. "A" corresponds to a detection at a patch with control patch-scale matrix. "B" is a detection at a patch with mechanically reduced patch-scale matrix.
- 2: Second sampling period: "0", "A", "B" are the same as previous. "C" indicates a recapture of an individual that has moved patches and now resides on a patch with patch-scale control matrix. "D" indicates a recapture of an individual that has has moved patches.
- 3: Third sampling period: "0", "A", "B", "C","D" are the same states described previously.
- 4: Forth sampling period: "0", "A", "B", "C","D" are the same states described previously.
- 5:Five sampling period: "0", "A", "B", "C","D" are the same states described previously.
- 6: Sixth sampling period: "0", "A", "B", "C","D" are the same states described previously.
- 7: Seventh sampling period: "0", "A", "B", "C","D" are the same states described previously.
- 8: Eighth sampling period: "0", "A", "B", "C","D" are the same states described previously.
- 9: Nineth sampling period: "0", "A", "B", "C","D" are the same states described previously.
- 10:Tenth sampling period: "0", "A", "B", "C","D" are the same states described previously.
- 11:Eleventh sampling period: "0", "A", "B", "C","D" are the same states described previously.
- ch: Compressed detection (capture) history in a single string with no spaces from the preceding variables.
