#Tarangire-Manyara

Wildlife tracking in large protected areas is limited by scarce infrastructure and strict energy budgets, and network planning rarely accounts for animal ecology. This study presents an ecologically aware framework for planning a LoRaWAN network to track elephants in the Tarangire–Manyara Ecosystem (TME), Tanzania. The main contribution is to place infrastructure according to ecological suitability, using habitat, movement corridors, water availability, NDVI and terrain, rather than treating coverage as a purely geometric problem. Terrain, canopy height and vegetation are then used to model how radio signals propagate. NSGA-II selects gateway locations that best balance ecological coverage, signal performance and deployment cost, giving an architecture of eight gateways supported by relay and microwave-backhaul links. NS-3 simulations with 5, 10 and 20 collars gave average packet delivery ratios of 80.21%, 73.80% and 67.27%, with collar-to-gateway latency of about 0.9-1.1 s. Estimated collar battery life was 6.65-7.5 years, and the five-year total cost of ownership was about 28% lower than a satellite alternative (TZS 857.3 million versus 1,192.5 million). These results indicate that ecologically guided planning can deliver a low-power, cost-effective tracking network for remote conservation landscapes, subject to field validation

用Landsat影像NDVI分析坦桑尼亚Kipengere森林保护区1995至2026年植被时空变化

Remote sensing and Community perception evidences on the Impacts of land use/cover change on natural resources in Rungwe Volcanic Province in Tanzania。Research Square

Forests provide essential goods and ecosystem services critical to human well‑being and environmental sustainability. Yet global deforestation continues to undermine these functions. In Africa, deforestation is driven by agricultural expansion, charcoal production, and unsustainable logging. This has prompted the adoption of sustainable forest management strategies to safeguard forest resources. Logging bans are one of the policy tools used, though their impacts are often complex, producing both intended and unintended outcomes. In 2018, the Kenyan government imposed a logging moratorium in public and community forests. It is not clear whether the policy has achieved its objective of curbing illegal logging and improving the country’s forest cover. This study aimed to assess the impact of the 2018–2023 moratorium on forest cover change in the Cherangany Hills Forest. The specific objectives were to: quantify the spatial extent and distribution of major land cover types in 2013, 2018, and 2023; analyse land cover change between the pre‑moratorium (2013–2018) and moratorium (2018–2023) periods, determining net forest loss or gain; and assess stakeholder perceptions of the moratorium’s impact and derive recommendations for policy and practice. The research employed a mixed‑methods approach, integrating remote sensing and GIS analysis with stakeholder perceptions. The results of the study indicate that during the moratorium, there was an improvement in forest cover by 8.1%. This represents areas converted from non-forest to forest. The net forest change improved from a loss of 962.73 ha in the pre-moratorium period to a loss of 630.52 ha during the moratorium, representing a 34.5% reduction in the rate of loss. However, the stability of the natural forest ecosystem declined, with an additional 1,586 ha of natural forest lost during the moratorium period compared to the pre-moratorium phase, indicating continued vulnerability of the natural forest despite the logging moratorium. In conclusion, the moratorium modestly improved forest enhancement and slowed net loss but failed to halt natural forest decline. Stronger measures such as boundary demarcation, community-inclusive governance, and restoration of fragmented areas are needed to improve the forest cover.

利用Sentinel-2影像和随机森林在GEE上监测印度Koonthankulam湿地的季节动态。

结合粪便、植被样方、遥感和红外相机评估孟加拉亚洲象取食栖息地变化。

研究肯尼亚西部小农玉米种植户土壤检测决策的影响因素。

研究内罗毕城市绿地缓解热岛效应和增强气候韧性的作用。