Investigating the phenology and interactions of competitive plant species co-occurring with invasive Lantana camara in Indian Himalayan Region.

Invasive plant species are considered one of the significant drivers of habitat loss, leading to biodiversity loss. They have also been observed to alter the local ecology, resulting in a decline of native flora. The management of invasive species is widely recognised as one of the most severe challenges to biodiversity conservation. The International Union for Conservation of Nature (IUCN) considers Lantana camara, as one of the ten worst weeds. Over time, native and indigenous species may evolve to co-exist or compete with invasive species, reducing invader fitness. It is observed that species competition fluctuates throughout environmental gradients, life phases, and abundances. Hence, competition outcome is very context-dependent. To address this challenge, we conducted a comprehensive study in three phases: we identified native species coexisting with Lantana in their natural habitats in the Doon Valley (Phase I) and documented the phenotypic traits of selected coexisting species using the Landmark BBCH (Biologische Bun-desantalt, Bundessortenamt und Chemische Industrie) scale, revealing the phenological growth patterns of selected co-existing species (Phase II). This was followed by conducting pot (Phase IIIa) and field (Phase IIIb) experiments to study the interactions between them. Notably, Justicia adhatoda, Broussonetia papyrifera, Pongamia pinnata, Urtica dioica and Bauhinia variegata demonstrated promising results in both pot and field conditions. Furthermore, after the mechanical removal of Lantana and prior to the plantation in the field experiments, four native grass species were introduced using the seed ball method. Among these, Pennisetum pedicellatum and Sorghum halpense exhibited prompt regeneration and effectively colonised the field, densely covering the cleared area. The study provides a comprehensive management plan for the restoration of Lantana affected areas through competition using native species. This study utilizes phenological assessment for native plant selection using reclamation from native grasses and proposes a management plan for combating invasive Lantana.

Geospatial analysis to assess distribution patterns and predictive model for endangered Lilium mackliniae Sealy: to support management decisions.

Lilium mackliniae Sealy is a species endemic to the Indo-Myanmar Biodiversity Hotspot with confined occurrence in the Shirui hills of Manipur (India). A rapid fragmentation of the species resulted in enlisting the remaining population as endangered. Tribal communities have managed this population in national parks for in situ conservation because of its sacred value. Maximum entropy-based modeling was performed with 19 bioclimatic and six geospatial variables on 65 true presence data to assess the threat on its only habitat. The accuracy of modeling was confirmed by an AUC value of 0.989. Among the variables used for habitat modeling, elevation range was a key predictor of the species distribution, followed by land use class and annual temperature range. Additionally, the model projected a similar habitat for the species in the same district. This study, therefore, provides essential information for the conservation and management of the species.