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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.

Datasets

71 datasets

Arthropod Pitfall Traps-III in 5x1 grid at LTER II NPP sites

NAL Geospatial Catalog

    Objectives. Desertification is hypothesized to have altered the spatial and temporal availability of resources required by the biota. Results of desertification on the Jornada include changes to shrub dominated communities and major soil changes.

    Biodiversity plots vegetation transects

    NAL Geospatial Catalog

      Design and hypotheses. The treatments are designed to distinguish the effects of plant biomass per se from those of plant functional groups and plant species richness within functional groups.