Vegetation trends

These datasets were used in 1) Distribution, drivers and restoration priorities of plant invasions in India (Mungi, Qureshi, Jhala. 2023); 2) Role of species richness and human impacts in resisting invasive species in tropical forests (Mungi, Qureshi, Jhala. 2021); 3) Expansion of invasive plants with changing climate, land-use, and biodiversity (Mungi et al. in review). These studies modeled vegetation dynamics, trends in plants, their co-occurrence with fauna, and relationship with environmental variables at spatio-temporal scale. The dataset named "trend1" includes variables on vegetation changes from 2006 to 2022 and site characteristics at 25 km2 grid scale. There were in total five sampling cycles between this period that were used to assess all trends. All variables are provided as standardized values per grid cell. Intermediate steps during the vegetation community analysis are given as matrix in other datasets (mat1, mat2, mat3, mat4, rsq_int_sit). All preliminary names for plant species are provided in "species_pool". Details on the methodology, data source, and resolution are provided in the peer-reviewed study in review and https://doi.org/10.1111/1365-2745.13751

The dataset named "data1" includes vegetation variables and correlated variables on climate, fire, habitat characteristics, human-use, faunal occurrence, and occurrence of invasive plants. These variables were sampled during the year 2018 at 25 km2 grid scale, while environmental variables were obtained from remote sensing derivatives. All variables are provided as standardized values per grid cell. Details on the methodology, data source, and resolution can be found in the peer-reviewed study https://doi.org/10.1038/s41559-023-02181-y and https://doi.org/10.1111/1365-2664.14506