Foreign Direct Investment (FDI) and Natural Resources: Blessing or Curse? Empirical Evidence from the Gulf Cooperation Council (GCC)

This paper investigates why foreign direct investment (FDI) inflows are disproportionate among resource and non-resource sectors in oil-rich countries over the period 1980-2017. We constructed a balanced panel of data for Gulf Cooperation Council (GCC) countries from the database of the United Nations Conference on Trade and Development (UNCTAD) and disaggregate data from The Financial Times. We regress total and sectoral FDI inflows on oil rents to a GDP ratio, controlling other socio-economic variables. Our results first consider oil rents. This proxy for natural resources is negatively associated with total FDI inflows. The oil rents/GDP share and resource-based FDI have a significantly positive correlation. However, the adverse effect of oil rents remains true in the case of the non-resource sector foreign investment. Second, oil price fluctuations lead to a rise in the non-resource FDI but discourage resource-related FDI inflows. These empirical results confirm that FDI-Natural resources curse through the crowd-out effect of natural resources in the Gulf Cooperation Council (GCC) countries. Our results are robust to different panel data estimators

U.S. cereal rye winter cover crop growth database

Winter cover crop performance metrics (i.e., vegetative biomass quantity and quality) affect ecosystem services provisions, but they vary widely due to differences in agronomic practices, soil properties, and climate. Cereal rye (Secale cereale) is the most common winter cover crop in the United States due to its winter hardiness, low seed cost, and high biomass production. We compiled data on cereal rye winter cover crop performance metrics, agronomic practices, and soil properties across the eastern half of the United States. The dataset includes a total of 5,695 cereal rye biomass observations across 208 site-years between 2001–2022 and encompasses a wide range of agronomic, soils, and climate conditions. Cereal rye biomass values had a mean of 3,428 kg ha−1, a median of 2,458 kg ha−1, and a standard deviation of 3,163 kg ha−1. The data can be used for empirical analyses, to calibrate, validate, and evaluate process-based models, and to develop decision support tools for management and policy decisions

Community perception and prioritization of invasive alien plants in Chitwan-Annapurna Landscape, Nepal

The management of invasive species is a complex, yet an essential component of biodiversity conservation and environmental management for sustainable futures. Despite a well-established linkage between biological invasions and human activities, the social dimension of invasive species management is less explored as compared to the ecological aspects. In recent years, the active participation of local communities, such as assessing levels of awareness and the selection of targeted species prioritized by communities, has been considered as a crucial element for managing invasive species. We conducted 32 focus group discussions (FGDs) including 218 participants in Chitwan-Annapurna Landscape (ChAL) of central Nepal, to assess knowledge and perceptions of agrarian and forest-dependent communities about invasive alien plants (IAPs), document the efforts of the community management of IAPs and prioritize IAPs for management. In the prioritization exercise, participants of each FGD were asked to rank three IAPs using scoring methods and to express their experience about the effects of the selected IAPs on humans and the environment. We found that communities had a living memory of the arrival of some of the IAPs in their locality without knowing the exotic nature of IAPs. Biodiversity loss, livestock poisoning, reduced agricultural production and forage supply, and negative impact on forest regeneration were reported as major negative impacts of IAPs. Communities also reportedly utilized IAPs for medicinal purposes, making compost by using biomass, and controlling floods and landslides. None of the government and non-governmental organizations working in the sectors of biodiversity conservation and environmental management has informed local forest-dependent agrarian communities about the consequences of biological invasions and management of IAPs. However, local communities had already started controlling the spread of some IAPs through manual uprooting. They were able to spot, identify and prioritize IAPs for management and some of the prioritized species were among the world's worst invasive species. Ageratum houstonianum was the top-ranked worst invasive species in agroecosystems while Chromolaena odorata and Ageratina adenophora were the top-ranked worst species in natural ecosystems. Our findings will be useful for guiding community education programs as well as the management of IAPs through formal policy and management plans, such as Nepal's National Biodiversity Strategy and Action Plan

Scenario Development and Foresight Analysis: Exploring Options to Inform Choices

In an increasingly globalized and interconnected world, where social and environmental change occur ever more rapidly, careful futures-oriented thinking becomes crucial for effective decision making. Foresight activities, including scenario development, quantitative modeling, and scenario-guided design of policies and programs, play a key role in exploring options to address socioeconomic and environmental challenges across many sectors and decision-making levels. We take stock of recent methodological developments in scenario and foresight exercises, seek to provide greater clarity on the many diverse approaches employed, and examine their use by decision makers in different fields and at different geographic, administrative, and temporal scales. Experience shows the importance of clearly formulated questions, structured dialog, carefully designed scenarios, sophisticated biophysical and socioeconomic analysis, and iteration as needed to more effectively link the growing scenarios and foresight community with today's decision makers and to better address the social, economic, and environmental challenges of tomorrow

Scenario Development and Foresight Analysis: Exploring Options to Inform Choices

In an increasingly globalized and interconnected world, where social and environmental change occur ever more rapidly, careful futures-oriented thinking becomes crucial for effective decision making. Foresight activities, including scenario development, quantitative modeling, and scenario-guided design of policies and programs, play a key role in exploring options to address socioeconomic and environmental challenges across many sectors and decision-making levels. We take stock of recent methodological developments in scenario and foresight exercises, seek to provide greater clarity on the many diverse approaches employed, and examine their use by decision makers in different fields and at different geographic, administrative, and temporal scales. Experience shows the importance of clearly formulated questions, structured dialog, carefully designed scenarios, sophisticated biophysical and socioeconomic analysis, and iteration as needed to more effectively link the growing scenarios and foresight community with today's decision makers and to better address the social, economic, and environmental challenges of tomorrow

U.S. cereal rye winter cover crop growth database

Abstract Winter cover crop performance metrics (i.e., vegetative biomass quantity and quality) affect ecosystem services provisions, but they vary widely due to differences in agronomic practices, soil properties, and climate. Cereal rye (Secale cereale) is the most common winter cover crop in the United States due to its winter hardiness, low seed cost, and high biomass production. We compiled data on cereal rye winter cover crop performance metrics, agronomic practices, and soil properties across the eastern half of the United States. The dataset includes a total of 5,695 cereal rye biomass observations across 208 site-years between 2001–2022 and encompasses a wide range of agronomic, soils, and climate conditions. Cereal rye biomass values had a mean of 3,428 kg ha−1, a median of 2,458 kg ha−1, and a standard deviation of 3,163 kg ha−1. The data can be used for empirical analyses, to calibrate, validate, and evaluate process-based models, and to develop decision support tools for management and policy decisions