A study published by Mukhopadhyay et al., 2023 investigates the long-term impact of subsurface drainage (SSD) on soil quality restoration and sugarcane productivity in waterlogged saline Vertisols in India. By using soil and water samples together with a farmer field survey, the authors showed that SSD significantly reduced soil salinity and improved various soil properties, leading to increased sugarcane yields by up to 585.5%. Farmers' perceptions indicated that SSD technology could substantially improve soil conditions and crop yields, and large-scale adoption of the technology will support the Sustainable Development Goals related to Land, No Poverty, and Zero Hunger in saline soils of India.
This research emphasizes the importance of recognizing diverse perspectives and values in defining and conserving forests, highlighting the dominance of Western institutions in shaping global discourses on forest conservation. The study underscores the need to incorporate Indigenous and local perspectives in defining forest terms to address recognition and procedural inequities, aligning with the objectives of the International Day of Indigenous Peoples to promote cultural diversity and inclusivity in conservation practices.
Knowledge of biological diversity is a major source of innovation. Collective intellectual property of traditional knowledge by Indigenous peoples and local communities is an important source of innovation and product development. This article investigates collective intellectual property systems on the traditional knowledge of Aspalathus linearis, also known as rooibos—an endemic plant from South Africa which is the basis of an important herbal tea industry. The article discusses how collective action and self-organization can generate collective intellectual property systems; indigenous peoples and local communities can develop these systems to protect their IP; how these systems can promote social justice and a more equitable distribution of benefits but can be sources of dispute between socio-economic groups and communities and can reproduce historical inequalities and power asymmetries.
The paper addresses the urgent need to halt species extinction by proposing a global prioritization strategy for conservation, leveraging individual population data to identify priority areas that significantly enhance the long-term persistence of threatened terrestrial mammal species, thus providing a more effective and efficient approach for meeting the targets outlined in the Global Biodiversity Framework.
The paper presented a comprehensive analysis of the research/publications landscape on the application of Machine Learning in Climate Change Research based on data.
A perspective piece on best practices to improve grassland restoration success worldwide
The paper underscores the need for improved conservation efforts in the tropics, using Bangladesh as a case study, by revealing gaps in protected area coverage for species representation and providing spatial prioritization to guide future expansion efforts, ultimately contributing to meeting global biodiversity targets outlined in the Kunming-Montreal Framework.
This paper supports SDG 15 by showing that mangroves contribute substantially to food security and nutrition of coastal communities in Indonesia, and thus the conservation of mangroves is important not only for carbon storage and biodiversity, but also for the communities living near them.
The potential distribution of two important invasive alien plants in South Africa, Prosopis spp and A. mearnsii, was predicted using the MaxEnt model.
In this research, the SDPs of hyperarid area of Kerman province was evaluated from the perspective of the effects of CCSs up to the horizon of 2050.
