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Research papers on Drivers of biodiversity loss

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  3. Land-Use/Land-Cover Change from Socio-Economic Drivers and Their Impact on Biodiversity in Nan Province, Thailand

    Yongyut Trisurat, Hiroaki Shirakawa, John M. Johnston · 2019 · Sustainability · 70 citations

    The rate of deforestation declined steadily in Thailand since the year 2000 due to economic transformation away from forestry. However, these changes did not occur in Nan Province located in northern Thailand. Deforestation is expected to continue due to high demand for forest products and increased agribusiness. The objectives of this paper are (1) to predict land-use change in the province based on trends, market-based and conservation scenarios, (2) to quantify biodiversity, and (3) to identify biodiversity hotspots at greatest risk for future deforestation. This study used a dynamic land-use change model (Dyna-CLUE) to allocate aggregated land demand for three scenarios and employed FRAG

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  4. The Main Drivers of Biodiversity Loss: A Brief Overview

    Hald-Mortensen, Christian · 2023 · Journal of Ecology & Natural Resources · 42 citations

    This paper provides a comprehensive exploration of the primary drivers leading to global biodiversity loss based on recent scientific research. These drivers are agricultural expansion, climate change, marine exploitation, urbanization and the spread of invasive species. The paper examines the significant role of land use change, responsible for endangering 85% of species at risk, largely through habitat transformation. The impacts of climate change on ecosystems are discussed, including ocean warming, acidification, and altered ocean currents; factors that pose challenges for various species. Marine exploitation contributes to the decline of marine species and habitats. The paper also discu

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  8. Land Use and Water Stress as Determinants of Ecosystem Resilience: A Panel Data Analysis of Biodiversity Loss Drivers in European Countries

    Irina Georgescu, Mioara Băncescu · 2025 · Land · 5 citations

    This study evaluates the influence of land use and water stress on ecosystem resilience, using panel data for thirty-three European countries from 2007 to 2024, following the identification of a research gap in the literature on this topic. The dependent variable is the bioclimatic ecosystem resilience index (BER), and the explanatory variables are Agricultural Land Share (ALS), Forest Land Share (FLS), and the Level of Water Stress (WS). The estimated models are a fixed-effects panel regression with Driscoll-Kraay standard errors, robust to autocorrelation, heteroscedasticity, and spatial dependence, and a kernel-based regularized least squares model, which offers a new, nonlinear, heteroge

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  10. Land Tenure, Socio-Economic Drivers, and Multi-Decadal Land Use and Land Cover Change in the Taita Hills, Kenya

    Hamisi Tsama Mkuzi, Maarifa Ali Mwakumanya, Tobias Bendzko, et al. · 2025 · Wild

    Understanding how land tenure and socio-economic pressures shape landscape transformation is critical for sustainable management in biodiversity-rich regions. This study examines three decades (1987–2017) of land use and land cover (LU&LC) change in the Ngerenyi area of the Taita Hills, Kenya, by integrating multispectral Landsat analysis with household survey data. Harmonized pre-processing and supervised classification of four LU&LC classes, agriculture, built-up areas, high-canopy vegetation, and low-canopy vegetation, achieved overall accuracies above 80% and Kappa values exceeding 0.75. Transition modeling using the Minimum Information Loss Transition Estimation (MILTE) approach

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  11. Plant Diversity and Carbon Storage Potential Across Different Land Use Types in Infrastructure Development Landscapes in Cameroon: Implications for no Net Loss of Biodiversity

    Nforbelie LN, Sonke B, Fongod AG · 2025 · Journal of Energy and Environmental Science

    This study investigated biodiversity change and carbon storage potential of different land use types in infrastructure development landscapes in Cameroon, focusing on the Dibombe Hydropower Project area in the Littoral Region of the Country. Line transects were used to collect flora inventory data in seven different land use types. We assessed flora diversity, aboveground biomass (AGB), and the presence of threatened species across various land use types, including riparian forests, cocoa plantations, fallow land, and croplands. Our findings reveal rich biodiversity across the study area, with forests harbouring the highest species diversity (159 species, Simpson Diversity Index of 0.92). Co

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