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Elise S. Gornish

Publications and source records attributed to Elise S. Gornish.

3 recordsLinked to original sources

Estimated dryland restoration treatment costs

Ecological restoration—the process of assisting in the rehabilitation of a system that has been degraded or destroyed—can be used to address changing landscapes as our understanding of ecosystems and how to manage them improves (Gann et al. 2019). As a result, numerous research papers and guidebooks have been published to provide science-based recommendations for designing and deploying restoration projects, particularly in dryland systems. Despite these advances, many of these resources lack a range of cost estimates for restoration treatments (but refer to Kimball et al. 2015, Copeland et al. 2018, and Meldrum et al. 2025 for broad overviews). Restoration costs can vary widely based on treatment type, location deployed, level of degradation, and specific goals (e.g., Birch et al. 2010). Cost estimates could be used to inform development of site-specific management plans that are logistically and financially feasible. Here, we provide an overview of the estimated range of costs that could be associated with several manual dryland restoration treatments that aim to increase seeding success and soil health. We applied these treatments via RestoreNet—a collaborative network led by the U.S. Geological Survey that tests restoration treatments in collaboration with land managers, landowners, and rightsholders across the southwestern United States (Havrilla et al. 2020). Using actual material costs and labor requirements of RestoreNet partner treatments conducted at a small experimental scale (80 one-metersquared plots at five sites), we scaled up these estimates to a larger management-relevant scale (estimated cost and time per acre; Table 1, Fig. 1). These scaled projections may overestimate labor costs, as costs per acre tend to decline as spatial scale increases (Meldrum et al. 2025). We provide options that could potentially reduce treatment costs by using more cost-effective materials and mechanizing manual treatments to reduce labor costs (e.g., using bulk materials or heavy machinery instead of applying treatments by hand, described under each treatment below and summarized in Table 1). Estimated costs are in 2024–2026 U.S. dollars (based on estimated market rates in Arizona or the United States) and labor costs are calculated at an hourly wage of $15.15 per hour (Arizona minimum wage; Department of Labor 2026), which is slightly lower than Arizona hourly wages for farmworkers or greenhouse laborers. However, costs may change over time with changing market rates.

Report↗

Grass-Cast Southwest: A seasonal rangeland productivity forecast for the southwestern United States

Here, we present a first assessment of the US Department of Agriculture’s (USDA) “Grass-Cast Southwest,” which is a forecasting tool for rangeland aboveground net primary productivity (ANPP) for the southwest region of the United States. Our results show that ANPP forecasts in early April were relatively close to the observation-based ANPP estimates in late May for all years evaluated ( R = 0.6–0.9). The relatively high predictability of spring rangeland productivity in this region is likely because it is strongly driven by antecedent winter/early spring precipitation. Conversely, the first summer forecasts produced in June did not consistently predict the final observation-based ANPP estimates in late August ( R = −0.5–0.7), likely because summer rangeland productivity in this region is highly dependent on variable, less predictable precipitation from the North American Monsoon (NAM). Antecedent El Niño Southern Oscillation (ENSO) indices could be used to improve Grass-Cast Southwest performance in both the spring and summer. The ENSO JFM (January–March) index was significantly positively correlated with rangeland productivity during the spring season, whereas ENSO MAM (March–May) was significantly negatively correlated with rangeland productivity during the summer season.

Arizona, New Mexico↗

Does restoration of plant diversity trigger concomitant soil microbiome changes in dryland ecosystems?

Drylands are highly vulnerable to land degradation, and despite increasing efforts, restoration success remains low. Although often ignored in the design and deployment of management strategies, soil microbial communities might be critical for dryland restoration due to their central role in promoting soil stability, nutrient cycling and plant establishment. We collected soil samples from eight dryland restoration sites within RestoreNet, a restoration field trial network, and determined their soil microbiome using 16S rRNA (bacteria and archaea) and ITS (fungi) amplicon sequencing. Each previously degraded site was treated with monoculture (single species) and polyculture (multiple species) seedling plantings. Contrary to our initial expectations, we found that these different revegetation interventions did not trigger changes in microbial diversity, composition or relative abundance of functional groups across sites after 1 year of revegetation. Synthesis and applications . Considering the crucial role of soil micro-organisms in dryland ecosystem functions, our results suggest that site-specific targeted microbiome restoration should be considered to accelerate the establishment of desired microbial communities. Plant community-based restoration practices such as revegetation have a limited impact on soil micro-organisms in the short term.

Journal of Applied Ecology↗