Muthu Rajkumar

Invasive alien species (IAS) are non-native species introduced into new ecosystems, whether intentionally or accidentally. A comprehensive global assessment has documented the introduction of over ...

Land degradation poses a significant environmental challenge to ecological sustainability and rural livelihoods, especially in the central Indian state of Madhya Pradesh. This study used a multidimensional approach by integrating biophysical and socioeconomic indicators under six dimensions: soil, climate, terrain, land use, hazards, and socioeconomic conditions. All variables were normalised using a min‐max method and combined through an equal‐weight composite index to maintain consistency and avoid subjective bias for creating the district‐level land degradation vulnerability index (LDVI). Spatial statistical validation was conducted using Spatial Autocorrelation (Global Moran's I) and Hot Spot Analysis (Local Getis‐Ord Gi*). The LDVI findings demonstrated a strong spatial pattern, with western and southwestern districts showing consistently high vulnerability across multiple indices. Districts such as Barwani (0.728), Alirajpur (0.655), Jhabua (0.587), and Dhar (0.578) ranked among the most vulnerable, mainly due to high soil erosion, greater exposure to climate hazards, and agricultural dependence. However, districts like Datia (0.283), Bhind (0.320), and Tikamgarh (0.337) were categorised as lowest vulnerability, benefiting from relatively stable terrain, lower hazard exposure, better vegetation cover, and moderate socioeconomic stress. The LDVI showed a significant clustered pattern across districts (Moran's I = 0.612). The Local Getis‐Ord Gi* analysis identified statistically significant hotspot districts in western Madhya Pradesh and cold spot clusters in the northern region, supporting the spatial consistency and reliability of the index. These findings identify priority districts for targeted soil conservation, climate adaptation, watershed management, and livelihood support, offering a replicable, policy‐relevant LDVI framework that supports evidence‐based land restoration efforts and advances India's progress toward SDG‐15.

Buchanania cochinchinensis, a socio-economically important forest tree species, faces high levels of exploitation. Originated from the Indian subcontinent, little is known about the patterns of the habitat distribution and the important climatic factors that shape its suitability. Using high-resolution environmental data for current and future climate scenarios, we studied the present and the future suitable habitats for B. cochinchinensis by MaxEnt. We evaluated the important bioclimatic variables that shape its distribution and identified distribution shifts under different climate change scenarios. Precipitation of wettest quarter, precipitation seasonality and altitude were identified as the most critical factors shaping B. cochinchinensis distribution. The future projections under RCP2.6 (with low concentration of greenhouse gas emissions) indicate increase in the distribution range of the species. Under the scenario with higher concentrations of emissions (RCP8.5), the suitable habitat range of B. cochinchinensis has decreased. Our results showed that the refugia for B. cochinchinensis under climate change occur in Central India, especially Madhya Pradesh and Chhattisgarh.

Notes on Risks of Ecological and Social Disturbances in Patalkot, a Subterranean Inhabitation of Satpura Hills, Madhya Pradesh