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This funding opportunity announcement (FOA) is intended to support environmental health research in which an unpredictable opportunity has arisen to collect human biosample or exposure data (e.g., following natural or made-made disasters, health care policy changes, etc). The three distinguishing features of an eligible study are: 1) the unforeseeable nature of the opportunity; 2) the clear scientific value and feasibility of the study; and 3) the need for rapid review and funding (substantially shorter than the typical NIH grant review/award cycle) in order for the scientific question to be approached and for the research design to be implemented.

Rapid Ecoregional Assessments REA synthesize the best available information about resource conditions and trends within an ecoregion. They highlight and map areas of high ecological value, including important wildlife habitats and corridors, and gauge their potential risks from climate change, wildfires, invasive species, energy development, and urban growth. REAs also map areas that have high energy development potential, and relatively low ecological value, which could be best-suited for siting future energy development. In addition, REAs establish landscape scale baseline ecological data to gauge the effect and effectiveness of future management actions.

The Division of Environmental Biology (DEB) supports fundamental research on populations, species, communities, and ecosystems. Scientific emphases range across many evolutionary and ecological patterns and processes at all spatial and temporal scales. Areas of research include biodiversity, phylogenetic systematics, molecular evolution, life history evolution, natural selection, ecology, biogeography, ecosystem structure, function and services, conservation biology, global change, and biogeochemical cycles. Research on organismal origins, functions, relationships, interactions, and evolutionary history may incorporate field, laboratory, or collection-based approaches; observational or manipulative experiments; synthesis activities; as well as theoretical approaches involving analytical, statistical, or computational modeling.

The US Geological Survey is offering a funding opportunity to conduct research to understand how groundwater recharge in the Western United States might respond to possible climatic shifts over the next century. Using a wide variety of measurements and estimates, the goal of this research is to synthesize current understanding of recharge across the entire West, forecast future groundwater dynamics under climate change scenarios, and identify where there are missing data and knowledge gaps that prevent forecasting of groundwater recharge.

The Division of Environmental Biology (DEB) supports fundamental research on populations, species, communities, and ecosystems. Scientific emphases range across many evolutionary and ecological patterns and processes at all spatial and temporal scales. Areas of research include biodiversity, phylogenetic systematics, molecular evolution, life history evolution, natural selection, ecology, biogeography, ecosystem structure, function and services, conservation biology, global change, and biogeochemical cycles. Research on organismal origins, functions, relationships, interactions, and evolutionary history may incorporate field, laboratory, or collection-based approaches; observational or manipulative experiments; synthesis activities; as well as theoretical approaches involving analytical, statistical, or computational modeling.

The Division of Environmental Biology (DEB) supports fundamental research on populations, species, communities, and ecosystems. Scientific emphases range across many evolutionary and ecological patterns and processes at all spatial and temporal scales. Areas of research include biodiversity, phylogenetic systematics, molecular evolution, life history evolution, natural selection, ecology, biogeography, ecosystem structure, function and services, conservation biology, global change, and biogeochemical cycles. Research on organismal origins, functions, relationships, interactions, and evolutionary history may incorporate field, laboratory, or collection-based approaches; observational or manipulative experiments; synthesis activities; as well as theoretical approaches involving analytical, statistical, or computational modeling.

The Geomorphology and Land-use Dynamics Program supports innovative research into processes that shape and modify landscapes over a variety of length and time scales. The program encourages research that quantitatively investigates the coupling and feedback among such processes, their rates, and their relative roles, especially in the contexts of variation in climatic, biologic, and tectonic influences and in light of changes due to human impacts. Such research may involve fieldwork, modeling, experimentation, theoretical development, or combinations thereof.

Grants will support the development of research and practices that focus on the human dynamics of resilience. Specifically, we are interested in projects that enhance community resilience and well-being by accounting for the influence of social, cultural, and health factors on a community's capacity to adapt and thrive as part of efforts to mitigate and respond to the adverse impacts of climate change, severe weather, and major environmental disasters. Proposed projects should bring together researchers, practitioners, and individuals from communities, including those from community organizations, state and local government, industry, and local businesses, so that all relevant perspectives inform possible approaches to advancing the science and practice of resilience. Involvement of local leaders and community members, particularly those substantially affected, is strongly encouraged.

In collaboration with the university science community, NCAR scientists focus on fundamental research aimed at improving our ability to predict meteorological, air quality and space weather hazards and increasing our understanding of the variability in and changes to the Earth's climate system at regional and global scales. These research themes are enabled by NCAR-operated facilities such as two highly modified aircraft (a C-130Q Hercules and a Gulfstream-V); a petascale supercomputing center in Cheyenne, Wyoming; and state-of-the-art community models, including the Community Earth System Model (CESM), the Weather Research and Forecasting Model (WRF) and the Whole Atmosphere Community Climate Model (WACCM). Partnerships with researchers in complementary fields, such as hydrology, cryospheric science, oceanography, terrestrial biology, public health and social sciences, to name a few, broaden NCAR's activities beyond the traditional atmospheric and geospace sciences. Details about NCAR's research activities can be found on the website at ncar.ucar.edu and in NCAR's current strategic plan.

The NOAA Coral Reef Conservation Grant Program, 16 USC §§ 6401-6409, provides matching grants of financial assistance through the Domestic Coral Reef Conservation Grant program to institutions of higher education, non-profit organizations, for-profit organizations, and local (as defined at 2 CFR § 200.64, which includes counties, municipalities, and cities) and Indian tribal government agencies. These awards are intended to support coral reef conservation projects in shallow water coral reef ecosystems, including reefs at mesophotic depths, in American Samoa, the Commonwealth of the Northern Mariana Islands, Florida, Guam, Hawaii, Puerto Rico, the U.S. Virgin Islands, and coral-dominated banks in the U.S. portions of the Gulf of Mexico. Projects may be proposed in the Northwestern Hawaiian Islands and the U.S. Pacific Remote Island Areas, but these locations are not considered geographic priorities under this announcement. Proposals submitted to this competition must address at least one of the following four categories: 1) Fishing Impacts; 2) Land-Based Sources of Pollution; 3) Climate Change; and 4) Local and Emerging Management Issues. Each category is described in more detail in the Federal Funding Opportunity announcement. All proposed work must be consistent with Coral Reef Conservation Program (CRCP) National Goals and Objectives 2010-2015

This Biological and Environmental Research/Advanced Scientific Computing Research (BERASCR) Scientific Discovery Thru Advanced Computing (SciDAC) Partnership FOA will enable scientists to conduct complex scientific and engineering computations at a level of fidelity needed to simulate real-world climate conditions, by supporting deep, necessary, and productive collaborations between climate scientists on the one hand and applied mathematicians and computer scientists on the other, that overcome the barriers between these disciplines and consequently fully exploit the capabilities of Department of Energy (DOE) High Performance Computing (HPC) systems in order to accelerate advances in climate science. This SciDAC opportunity targets three particular topics of high-priority for DOE climate research that are expected to be transformed by effective climate-computational partnerships: the development of new and innovative methods to predict sea-level change; the development of a theoretical statistical-numerical framework to improve climate prediction; and the development of improved methods for model component coupling. The next-generation climate model capabilities will contribute to the newly launched Accelerated Climate Model for Energy (ACME) and further its progress toward design of climate codes for leadership class computers and in support of energy science and mission requirements.

The Office of Energy Efficiency and Renewable Energy (EERE) intends to issue, on behalf of the Advanced Manufacturing Office (AMO), a Funding Opportunity Announcement (FOA) entitled "Modular Chemical Process Intensification Institute for Clean Energy Manufacturing" (DE-FOA-0001578). This FOA supports the establishment of a Clean Energy Manufacturing Innovation Institute on Modular Chemical Process Intensification. Modular chemical process intensification represents an emerging opportunity for processing industries in the U.S. manufacturing sector to improve energy efficiency, reduce feedstock waste, increase scalability and improve productivity by merging and integrating separate unit processes (mixing, reactions, separation) into single modular hardware elements of reduced size, higher efficiency and scalability. Please access the complete Notice of Intent on https://eere-exchange.energy.gov/. This NOI is issued so that interested parties are aware of EERE's intention to issue a FOA in the near term. All of the information contained in this NOI is subject to change. EERE may issue a FOA as described herein, may issue a FOA that is significantly different than the FOA described herein, or DOE may not issue a FOA at all. NO APPLICATIONS WILL BE ACCEPTED THROUGH THIS NOTICE. Please do not submit questions or respond to this NOI.

The goal of sustainable development is to find a balance between the need for socio-economic development and the need to preserve the environment, and to thus meet the requirements of present and future generations. The 2016 Green Talents competition will address the effects of climate change, pollution, and overfishing on the earth's biggest natural resources, the oceans, in line with the German Federal Ministry of Education and Research's Science Year 2016/2017, which is devoted to the "Seas and Oceans."

The primary focus of the Foundation's grant making in Conservation is the protection of the world's oceans and species. The Foundation is interested in site-specific projects designed to improve the health of ocean habitats and to enhance their ability to withstand the challenges of climate change. In addition, the Foundation supports efforts to fund species protection, particularly regarding the seas' apex predators. 

Save the Redwoods League supports basic and applied hypothesis-driven research on the biology and ecology of coast redwood and giant sequoia forests. To conserve and restore these ecosystems in the coming decades, the League funds research that expands our understanding of ecosystem function, community interactions, rare and threatened species, and the impact of climate change on redwood forests. We welcome proposals on all topics that advance our understanding of these ecosystems.

The overall goal of the Organic Transitions Program (ORG) is to support the development and implementation of research, extension and higher education programs to improve the competitiveness of organic livestock and crop producers, as well as those who are adopting organic practices. In FY 2014, ORG will continue to prioritize environmental services provided by organic farming systems in the area of soil conservation and climate change mitigation, including greenhouse gases (GHG). Two new priorities have been added to support (1) the development of educational tools for Cooperative Extension personnel and other agricultural professionals who advise producers on organic practices and (2) the development of cultural practices and other allowable alternatives to substances recommended for removal from the National Organic Programs National List of Allowed and Prohibited Substances. Practices and systems to be addressed include those associated with organic crops, organic animal production, and organic systems integrating plant and animal production.

Mercator-IPC Fellows work at Istanbul Policy Center (IPC), an independent policy research institute with global outreach located in the center of Istanbul. IPC's mission is to foster academic research and its application to policy making. The Center is firmly committed to providing decision makers, opinion leaders, academics and the general public with innovative and objective analyses of key domestic and foreign policy issues. IPC offers the Mercator-IPC Fellows access to a broad network of academics, civil society activists and decision makers as well as a unique platform for sound academic research to shape hands-on policy work. Likewise, fellows profit from Sabancı University's exceptional intellectual capital and vast reserves of scientific knowledge. Mercator-IPC Fellowships are available to outstanding academics and professionals who work in one of three thematic areas: | EU/German-Turkish relations | Climate change | Education In the 2014/15 round, at least six Mercator-IPC Fellowships are available for outstanding young academics and professionals who have significant prior work experience. The fellows will be expected to work on academic or practical projects at IPC. A Master's degree (or equivalent) is required for this position, but a PhD degree is strongly preferred. Projects which focus on the German-Turkish nexus are likewise preferred.  The 2014/15 fellowships begin September 1, 2014 and the deadline for applications is April 1, 2014.

The new National Ocean Policy calls for actions to improve understanding of and capacity to respond to ocean acidification, recognizing the potential adverse impacts of an acidifying sea upon marine ecosystems. The effects of ocean acidification could significantly affect strategies for developing practices towards the sustainability of ocean resources. Basic research concerning the nature, extent and impact of ocean acidification on oceanic environments in the past, present and future is required. Research challenges include: Understanding the geochemistry and biogeochemistry of ocean acidification; Understanding how ocean acidification interacts with biological, chemical and physical processes at the organismal level, and how such interactions impact the structure and function of ecosystems, e.g. through life histories, adaptive evolution, food webs, biogeochemical cycling, and interactions with other changes in the ocean (e.g., temperature, stratification, circulation patterns); and Understanding how the earth system history informs our understanding of the effects of ocean acidification on the present day and future ocean. The Ocean Acidification program is in its fifth and anticipated last year of competition. We expect this to be the last solicitation specifically targeting Ocean Acidification.

The United States-India Educational Foundation (USIEF) announces an open competition for the support of projects through the Obama - Singh 21st Century Knowledge Initiative (OSI). Announced by the US and Indian governments, OSI aims to strengthen collaboration and build partnerships between American and Indian institutions of higher education. Accredited US post-secondary educational institutions meeting the provisions described in Internal Revenue Code section 26 U.S.C. 501c(3) may submit proposals to support the program's goals of encouraging mutual understanding, facilitating educational reform, fostering economic development, and engaging civil society through academic cooperation with Indian post-secondary educational institutions.   Exchange activities may include but are not limited to curriculum design, research collaboration, team teaching, focused series of exchanges, seminars, among other activities. Activities should be designed to develop expertise, advance scholarship and teaching, and promote long-term ties between partner institutions.   Proposals in the following fields are eligible: Energy, Climate Change & Environmental Studies; Education & Educational Reform; Public Health; and Sustainable Development & Community Development.

The Division of Environmental Biology (DEB) supports fundamental research on populations, species, communities, and ecosystems. Scientific emphases range across many evolutionary and ecological patterns and processes at all spatial and temporal scales. Areas of research include biodiversity, phylogenetic systematics, molecular evolution, life history evolution, natural selection, ecology, biogeography, ecosystem structure, function and services, conservation biology, global change, and biogeochemical cycles. Research on organismal origins, functions, relationships, interactions, and evolutionary history may incorporate field, laboratory, or collection-based approaches; observational or manipulative experiments; synthesis activities; as well as theoretical approaches involving analytical, statistical, or computational modeling.