Long Term Agroecosystem Research Overview

Agriculture faces tremendous challenges in meeting multiple, diverse societal goals, including a safe and plentiful food supply, climate change adaptation/mitigation, supplying sources of bioenergy, improving water/air/soil quality, and maintaining biodiversity. The LTAR network enables long-term, trans-disciplinary science across farm resource regions to address these challenges. The goal of this research network is to ensure sustained crop and livestock production and ecosystem services from agroecosystems, and to forecast and verify the effects of environmental trends, public policies, and emerging technologies. Ultimately, LTAR is expected to provide a wide array of clients, partners, and stakeholders with four basic outcomes:
  1. Agroecosystem productivity is sustainably enhanced by the development and application of new technologies
  2. Mitigation and adaptation of agroecosystems to climate change is improved by more accurate predictions of resource responses to system drivers
  3. Stronger linkages to other long-term research networks improves conservation and environmental quality in agricultural landscapes
  4. The socio-economic viability of, and opportunities for, rural communities are enhanced through educational outreach by LTAR scientists and collaborators
For the fully interactive version of this LTAR data explorer visit https://ltar.nal.usda.gov.

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Datasets

4 datasets

Mahantango Creek Experimental Watershed, Pennsylvania (Water Quality)

A long-term water quality database has been developed by the US Department of Agriculture (USDA) Agricultural Research Service (ARS) Pasture Systems and Watershed Management Research Unit to support water quality research within WE-38, a 7.3 km2 experimental subwatershed of Mahantango Creek Watershed located in east…

Long-term Agro-ecosystem Research Initiative

Upper Washita River Experimental Watersheds: Nutrient Water Quality Data

Climate variability, changing land use and management, and dynamic policy environments are the main reasons why long-term water quality data sets are needed to understand and predict possible water quality outcomes to alternative future scenarios. Such data sets were acquired by the USDA-ARS in three…

Long-term Agro-ecosystem Research Initiative