Data from: Distribution, drivers, and restoration priorities of plant invasions in India
Data files
Aug 31, 2023 version files 2.74 MB
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presence.xlsx
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priority1.cpg
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priority1.dbf
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priority1.prj
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priority1.sbn
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priority1.sbx
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priority1.shp
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priority1.shp.xml
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priority1.shx
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README.md
Abstract
Biological invasions threaten biodiversity and human wellbeing, with developing tropical countries being more vulnerable. Despite the urgency to reduce impacts of invasions, management interventions are constrained by unavailability of timely information on invasive species occurrence, potential drivers, and restoration priorities. Generating this information at biogeographic scales can be costly, unless integrated with multi-objective biodiversity monitoring. Invasive plant monitoring is integrated with India’s national-scale tiger population assessment, wherein natural areas are sampled at 25 km2 scale to inventory plants. In 2018, a total of 158,979 plots were sampled covering ~358,550 km2. We used 206,393 locations of high concern invasive plants to model their distribution using socio-ecological covariates and identify potential drivers of invasions. Considering the invasion magnitude and financial constraints in management, we further identified priority restorations sites at national-scale to maximize biodiversity outcomes. High-concern invasive plants were recorded from ~254,880 km2 (72% sampled area) and modelled to invade in total ~750,905 km2 (66%) Indian natural systems. While open and deciduous ecosystems were the highest invaded by woody plants, areas with extreme climate and less anthropic pressure were least invaded. Since managing invasions across their range seemed futile due to costly (~13.5 billion USD for one-time management) and ineffective strategies, restoration priority was assigned to least invaded areas (11% protected areas, 23% multi-use) to maximize biodiversity returns. Synthesis and applications: India implemented national-scale invasive plant monitoring by integrating it with the umbrella project on tiger assessment. Embarking on this big data, we show that two-thirds of India’s natural areas are under multiple plant invasions, owing to the legacy of anthropogenic modifications. Our study offers a restoration priority model, empowering policymakers to devise adaptive strategies for restoring invaded biomes and maximizing biodiversity returns.
README
# Dataset title: Distribution\, drivers\, and restoration priorities of
plant invasions in India
## Description of the data and file structure
The dataset has two files:
- Presence.xls: This is a spreadsheet with 34879 records of 11 invasive plants across India, at 25 km2. Every column represent an invasive species. The column header abbreviations are:
Unique ID: aa Ageratina adenophora, ac Ageratum conyzoides, co
Chromolaena odorata, hy Mesosphaerum suaveolens, lc Lantana camara, mm
Mimosa diplotricha, mi Mikania micrantha, ph Parthenium hysterophorus, pj
Prosopis juliflora, st Senna tora, and xs Xanthium strumarium.
- priority1.shp: This is a shapefile representing restoration priority grids of 25 km2. Every grid is ranked 1, 2 or 3, representing the priority ranks, as discussed in the paper. All necessary details pertaining methods and meanings of the priority ranks are available in the paper. The grid is georeferenced, with WGS 1984 Lambert Conformal Conic projection system.
## Sharing/Access information
All other requests pertaining the data must be made at yvjhala@gmail.com
Methods
All the neccesary methods are provided in the paper.