DOI: 10.5061/dryad.r4xgxd2cm
title: Data from: Canals as invasion pathways in tropical dry forest and the need for monitoring and management

description: Linear infrastructure intrusions are common around the world to meet the
 needs of a growing and interconnected human population. The implementation
 of linear infrastructures involves numerous forms and mechanisms of
 land-use transformation that can facilitate and serve as pathways to the
 spread of invasive non-native species. However, the type and intensity of
 land transformations change over time and this can affect the frequency
 and intensity in which linear infrastructures route the spread of invasive
 species. Here, we present results collected over five years of monitoring
 surveys (2015 to 2019) to assess the relationship between the construction
 of one of the largest canals to date in Brazil and the spread of
 non-native species. We studied the Integration Project of the São
 Francisco River (PISF) a canal fully inserted in the Caatinga biome, a
 tropical dry forest ecosystem for which information on invasion dynamics
 are little known. Our results confirmed PISF canals served as habitat and
 dispersal corridors for non-native plant species. Monitoring surveys
 recorded 26 non-native species established along the 83.2 km2 PISF
 deployment area. Eleven years after the canal deployment area was
 completely cleared of vegetation, 92.3% of its extension had non-native
 plant populations. Of the ten species assessed for their population
 status, eight had invasive populations. The time immediately after
 construction work finished was the critical stage for the spread of
 non-native woody plants, which increased their distributions with reduced
 levels of construction intervention, whereas most of the herbaceous
 species reduced their distributions. When human intervention was
 drastically reduced, many populations of non-native plants rapidly formed
 at the deployment area. Policy implications: Man-made linear
 infrastructures can remove biogeographical barriers and serve as pathways
 for the spread of invasive species over long distances and across
 ecosystems. Thus, the planning, construction and management of such
 infrastructures should include measures and funding for risk assessment,
 prevention, monitoring, and control of biological invasions. Agencies
 responsible for environmental licensing should mandate invasive species
 management as part of the installation and operation licensing conditions.
description: <i>Non-native plant
 presence</i> Sampling points
 were located every 5 km from the São Francisco River until the end of the
 existing canal (211 and 205 km away from the River depending on the canal)
 totaling 44 sampling points for the North canal and 42 sampling points for
 the East canal. The sampling points were placed in the center of the DA,
 preferably at the right side of the canal due the ease of access. The
 sampling points were pre-selected using PISF’s geographical information
 system and the geographic coordinates of each point were uploaded to a
 handheld GPS unit which was used to locate the sampling points during
 surveys. At each sampling point we split the visual field into four
 90°quadrants and all non-native species visible on each quadrant and
 located inside the DA (i.e., not in the Caatinga outside the DA) were
 recorded. Species not identified in the field were collected for
 identification by botanists at the Centre for Ecology and Environmental
 Monitoring (NEMA) at University of Vale do São Francisco (UNIVASF). We
 conducted biannual monitoring surveys in the DA between 2015 and 2019.
 Here we report data from eight surveys undertaken on May-June/2015,
 February-March/2016, September-October/2016, January/2017, May/2017,
 May-June/2018, October/2018, and April/2019. <i>Non-native species
 population status</i> To determine if
 non-native populations present along the PISF were casual, naturalized, or
 invasive, we drove along the 416 km of the study area stopping every time
 a population of a non-native plant species was found inside the DA. The
 data used for the invasion status reported here are only from the June
 2018 survey. Sections above tunnels were not sampled owing to the lack of
 access. Also, grasses were excluded from the invasion status assessment
 owing to their absence or difficulty of detection during the dry months of
 the year. At each population, we measured its linear extension along the
 canal using a handheld GPS recording points where each population started
 and ended, counting the number of plants and the number of plants
 producing flowers and/or fruits. We considered different populations as
 those with gaps greater than 500 m between individuals. Each population
 was classified as casual, naturalized or invasive following the criteria
 established in Asth et al. (2021). Populations with one to 10 reproductive
 individuals and spread distances less than 100 m were considered casuals;
 populations with 11 to 100 reproductive individuals were considered
 naturalized; populations with more than 100 m of spread that had more than
 100 reproductive individuals were considered invasive. We built a Kernel
 Density Map to show the distributions and occupation intensity of
 non-native plant populations along the PISF. Kernel density was calculated
 using polylines representing the extent of each population within the DA,
 considering a different weight for each population according to its
 invasion status (casual weighed = 1, naturalized weighed = 2 and invasive
 weighed = 3). This intensity was calculated from the number of polylines
 (populations) and the product of the polylines size (in meters) with the
 assigned weight. Thus, darker areas of the map are locations with the
 greatest number of plant populations balanced by their invasion status. We
 used a 200 m cell size (to match the size of the DA) and a 5,000 m radius
 size (corresponding to the size of the Directly Affected Area) with the
 units "Square Map Units" since our data are categorical. Kernel
 density estimation was made with ArcMap 10.2 (ESRI) using the Kernel
 Density tool.
description: This dataset is subject to a 5 year embargo after publication
 owing to contractual rules imposed by the Brazilian Ministry of Regional
 Development. Please contact the authors if necessary to discuss potential
 uses of the dataset on analyses and publications during the embargo period
 (2021-2026). Some specific details on each
 dataset: <strong>Csv 1. List of non-native species</strong> List of non-native plants recorded in PISF with respective families and life forms. Calculations of absolute and percentage values for family’s frequency and life forms percentage frequency. <strong>Csv 2. Invasion status</strong> Absolute numbers of non-native populations per invasion status (casual, naturalized and invasive) for East, North and both canals. <strong>Csv 3. Occupancy measures</strong> Number of populations with more than 100 m of extent, the largest population in extension, total extension in both canals, mean extension, the standard deviation of extension and the proportion (%) occupied for each species in both canals. Assessed extension (in meters), extension free of non-native populations (in meters), proportion of the canal free of non-native populations (%) for each canal e both added. <strong>Csv 4. Beta and Delta slopes</strong> Slopes extracted from the linear models built for surveys 1 to 5 (beta_1_5), surveys 6 to 8 (beta_6_8) and the difference between them (beta_delta). <strong>Csv 5. Occurrence Data</strong> List of non-native plants recorded in PISF with the number of sampling points where each species occurred per survey for East, North and both canals. Calculations of the mean presence at the sampling points for each canal and the standard deviation of the presence at the sampling points considering both channels. Data for the results of the entire section “Non-native plant presence” was extracted from Csv 5. PS.: All information presented in Supplementary Material 1 can be accessed in Csv 1, Csv 2, Csv 3 and Csv 4.