Forest Management Assessment Using LASSO and the Critical List of Variables for Sustaining the Commons: Four Cases in the Monarch Reserve

Miramanni Mishkin — 2024-10-25

In the Monarch Reserve, four cases were selected for exploratory analysis using the critical list of variables for sustaining the commons and LASSO regression to determine which of these are most influential in the successful maintenance of forest cover over a decade. Forest recovery from degraded to dense forest is found to be inversely related to resource size, consistent with theory. However, in four other categories of forest change, the size of the resource is less influential, though it is still a significant, variable with a positive relationship to forest cover change which is inconsistent with theory. The analysis also showed that less overlap, greater poverty and lower dependence on the resource are associated both with forest gain and with mitigation of forest loss, which is contrary to theory and most research. Also associated with poverty in the LASSO regression are homogeneity of identity and ease of enforcement of rules. These show a negative relation to transitions from non-forest to dense forest, with low coefficients. This is inconsistent with theory. Possible reasons for the divergence from theory are discussed in detail, as is the utility of this approach for assessment and monitoring.

Identification of Multipurpose Greenway Networks for Ecological Resilience Using Geospatial Technology: Case Study of South Delhi District in India

Poonam Chandel — 2024-12-10

Urban greenways counter ecological fragmentation and enhance urban sustainability. This study proposes a multipurpose greenway network in South Delhi District to improve ecological connectivity and urban liveability amidst rapid urbanization. Key areas such as Asola Bhatti Wildlife Sanctuary, Hauz Khas, and Saket were identified using geospatial analysis, considering factors like land availability, road density, protected areas, demand, and topography through a Rating and Weighting (RAW) method. The findings reveal the potential of greenways to connect fragmented green spaces, integrate recreational zones, and preserve natural habitats while linking cultural and historical landmarks. Comparative analysis with greenway projects in Bangalore and Singapore highlights scalability and best practices. Bangalore’s initiatives focus on linking urban lakes and parks, showcasing the use of local ecological features as anchors. Singapore’s Park Connector Network demonstrates the benefits of cohesive urban ecosystems. These examples emphasize the importance of phased implementation and institutional support for success. The proposed greenways not only enhance biodiversity but also mitigate urban heat islands, improve air quality, and promote public health through accessible recreational spaces. Policymakers and urban planners can adopt this model to address environmental challenges, improve urban liveability, and drive sustainable development in other urbanizing regions. The research underscores greenways as a blueprint for creating ecologically and socially resilient urban environments.

Research in Ecology

Forest Management Assessment Using LASSO and the Critical List of Variables for Sustaining the Commons: Four Cases in the Monarch Reserve

Identification of Multipurpose Greenway Networks for Ecological Resilience Using Geospatial Technology: Case Study of South Delhi District in India