Maryland's Forests 2008

Lister, Tonya W.; Perdue, J.; Barnett, C.J.; Butler, Brett J.; Crocker, Susan J.; Domke, Grant M.; Griffith, Doug; Hatfield,; Kurtz, Cassandra M.; Lister, Andrew J.; Morin, Randall S.; Moser, W. Keith; Nelson, .; Perry, Charles H.; Piva, Ron; Riemann, Rachel; Widmann, Richard H.; Woodall, Christopher W.

doi:10.2737/nrs-rb-58

Cited by 6 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the forested land cover on Maryland's Lower Eastern Shore is secondary growth and, at one time, was under intensive agricultural use before it was converted back to forest (Lister et al. ). For comparison, DOP background concentrations in soil porewater of forests without a legacy of fertilizer inputs are often an order of magnitude lower than those measured in this study (0.02 mg P/L; Qualls and Haines , Qualls et al.…”

Section: Discussionmentioning

confidence: 99%

“…, Lister et al. ). Tidal salt marshes cover about 15% of Somerset County and are located along its coastline (Shepard et al.…”

Section: Methodsmentioning

confidence: 98%

“…Until the 1930s, most upland areas of Somerset County were agricultural (Markewich et al 1990). Now, roughly 32% of the county's land area is in agriculture (United States Department of Agriculture -National Agricultural Statistics Service 2012) and~50% is loblolly pine-dominated forest (Kirwan et al 2007, Lister et al 2011. Tidal salt marshes cover about 15% of Somerset County and are located along its coastline (Shepard et al 2013).…”

Section: Study Sitementioning

confidence: 99%

See 2 more Smart Citations

Saltwater intrusion affects nutrient concentrations in soil porewater and surface waters of coastal habitats

Weissman

Tully

2020

Ecosphere

View full text Add to dashboard Cite

Coastal ecosystems are undergoing major biogeochemical shifts due to climate change and sea level rise. At the same time, agricultural fertilizer applications are increasing coastal nutrient inputs. In this study, we examine the potential impact of saltwater intrusion (SWI) on nitrogen (N) and phosphorus (P) concentrations in soil porewater and surface water of different habitats within the Chesapeake Bay estuary. Study sites are located along Maryland's Lower Eastern Shore and were monitored over three summers from 2016 to 2018. These sites encompass various habitats on the land–sea interface, consisting of healthy forests, intruded forests, abandoned fields, intruded fields, agricultural ditches, tidal creeks, and tidal salt marshes. Intruded fields were being actively farmed at the time of the study. Soil porewater and surface water grab samples were collected from the habitats and analyzed for electrical conductivity, pH, dissolved organic P (DOP), dissolved inorganic P in the form of soluble reactive P (SRP), dissolved inorganic N as ammonium‐N (NH4‐N), and total dissolved iron (TDFe). Electrical conductivity was greatest in the marshes (16.58 mS/cm averaged across all years) and did not significantly differ among intruded forests, intruded fields, and agricultural ditches. As a legacy of heavy fertilizer use, DOP concentrations exceeded 0.45 mg P/L in all habitats. Concentrations of inorganic N and P differed significantly by habitat. Concentrations of NH4‐N were significantly higher in salt marsh soil porewater than in any other habitat measured. Overall, SRP concentrations were the highest in the soil porewater of intruded fields and marshes and in the surface water of agricultural ditches (0.30, 0.29, and 0.33 mg P/L averaged across all years, respectively). These concentrations greatly exceeded recommended U.S. Environmental Protection Agency nutrient pollution thresholds for the region. In its oxidized state, dissolved iron can bind to SRP and prevent it from becoming bioavailable. However, TDFe concentrations in the ditches, tidal creeks, and marshes were too low to adequately buffer against SRP loss to downstream areas. As SWI moves salts inland and increases hydrologic connectivity across coastal landscapes, it is important to consider the mechanisms through which nutrients may be released from coastal soils and their potential to impact downstream water quality.

show abstract

Section: Discussionmentioning

confidence: 99%

“…, Lister et al. ). Tidal salt marshes cover about 15% of Somerset County and are located along its coastline (Shepard et al.…”

Section: Methodsmentioning

confidence: 98%

Section: Study Sitementioning

confidence: 99%

See 1 more Smart Citation

Saltwater intrusion affects nutrient concentrations in soil porewater and surface waters of coastal habitats

Weissman

Tully

2020

Ecosphere

View full text Add to dashboard Cite

show abstract

“…LULCC and disturbance caused a loss of 1.11 ± 0.35 Pg C yr −1 annually [32]. Lister et al [33] indicated that the Chesapeake Bay Basin had a net loss of 2% of forest land since the 1980s. Claggett et al [25] predicted that, to a large extent, forests in the Gulf region of CBW will be severely disrupted in the coming decades because of development pressure.…”

Section: Discussionmentioning

confidence: 99%

Substantially Greater Carbon Emissions Estimated Based on Annual Land-Use Transition Data

et al. 2020

View full text Add to dashboard Cite

Quantifying land-use and land-cover change (LULCC) effects on carbon sources and sinks has been very challenging because of the availability and quality of LULCC data. As the largest estuary in the United States, Chesapeake Bay is a rapidly changing region and is affected by human activities. A new annual land-use and land-cover (LULC) data product developed by the U.S. Geological Survey Land Change Monitoring and Analysis Program (LCMAP) from 2001 to 2011 was analyzed for transitions between agricultural land, developed land, grassland, forest land and wetland. The Land Use and Carbon Scenario Simulator was used to simulate effects of LULCC and ecosystem disturbance in the south of the Chesapeake Bay Watershed (CBW) on carbon storage and fluxes, with carbon parameters derived from the Integrated Biosphere Simulator. We found that during the study period: (1) areas of forest land, disturbed land, agricultural land and wetland decreased by 90, 82, 57, and 65 km2, respectively, but developed lands gained 293 km2 (29 km2 annually); (2) total ecosystem carbon stock in the CBW increased by 13 Tg C from 2001 to 2011, mainly due to carbon sequestration of the forest ecosystem; (3) carbon loss was primarily attributed to urbanization (0.224 Tg C·yr−1) and agricultural expansion (0.046 Tg C·yr−1); and (4) estimated carbon emissions and harvest wood products were greater when estimated with the annual LULC input. We conclude that a dense time series of LULCC, such as that of the LCMAP program, may provide a more accurate accounting of the effects of land use change on ecosystem carbon, which is critical to understanding long-term ecosystem carbon dynamics.

show abstract

Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA

Hurtt

Zhao

Sahajpal

et al. 2019

Environ. Res. Lett.

View full text Add to dashboard Cite

Forests are important ecosystems that are under increasing pressure from human use and environmental change, and have a significant ability to remove carbon dioxide from the atmosphere, and are therefore the focus of policy efforts aimed at reducing deforestation and degradation as well as increasing afforestation and reforestation for climate mitigation. Critical to these efforts is the accurate monitoring, reporting and verification of current forest cover and carbon stocks. For planning, the additional step of modeling is required to quantitatively estimate forest carbon sequestration potential in response to alternative land-use and management decisions. To be most useful and of decisionrelevant quality, these model estimates must be at very high spatial resolution and with very high accuracy to capture important heterogeneity on the land surface and connect to monitoring efforts. Here, we present results from a new forest carbon monitoring and modeling system that combines high-resolution remote sensing, field data, and ecological modeling to estimate contemporary aboveground forest carbon stocks, and project future forest carbon sequestration potential for the state of Maryland at 90 m resolution. Statewide, the contemporary above-ground carbon stock was estimated to be 110.8 Tg C (100.3-125.8 Tg C), with a corresponding mean above-ground biomass density of 103.7 Mg ha −1 which was within 2% of independent empirically-based estimates. The forest aboveground carbon sequestration potential for the state was estimated to be much larger at 314.8 Tg C, and the forest above-ground carbon sequestration potential gap (i.e. potential-current) was estimated to be 204.1 Tg C, nearly double the current stock. These results imply a large statewide potential for future carbon sequestration from afforestation and reforestation activities. The high spatial resolution of the model estimates underpinning these totals demonstrate important heterogeneity across the state and can inform prioritization of actual afforestation/reforestation opportunities. With this approach, it is now possible to quantify both the forest carbon stock and future carbon sequestration potential over large policy relevant areas with sufficient accuracy and spatial resolution to significantly advance planning.

show abstract

Maryland's Forests 2008

Cited by 6 publications

References 30 publications

Saltwater intrusion affects nutrient concentrations in soil porewater and surface waters of coastal habitats

Saltwater intrusion affects nutrient concentrations in soil porewater and surface waters of coastal habitats

Substantially Greater Carbon Emissions Estimated Based on Annual Land-Use Transition Data

Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA

Contact Info

Product

Resources

About