Removal of Physical Materials from Systems

Rivera‐Monroy, Victor H.; DeLaune, R. D.; Owens, Alaina; Visser, Jenneke M.; White, John R.; Twilley, Robert R.; Hernández-Trejo, Humberto; Benitez, Julieta

doi:10.1016/b978-0-12-374711-2.00809-3

Cited by 6 publications

(3 citation statements)

References 126 publications

(161 reference statements)

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“…Climate plays an important role in ecosystem and economic resiliency (Erwin, ), especially near ecotones that support large human populations (Rivera‐Monroy et al , ; ). In regions with extreme poverty, livelihoods tend to depend disproportionately on natural capital (Barrett et al , ), making these ecosystems even more susceptible to the effects of climatic thresholds, variability, and change.…”

Section: Introductionmentioning

confidence: 99%

Inter‐annual hydroclimatic variability in coastal Tanzania

Rohli

Ates

Rivera‐Monroy

et al. 2019

Intl Journal of Climatology

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Climatic controls regulate the coupled natural and human systems in coastal Tanzania, where mangrove wetlands provide a wealth of ecosystem services to coastal communities. Previous research has explained the precipitation seasonality of eastern Africa in terms of the local monsoons. This research examines a wider range of hydroclimatic variables, including water vapour flux, evapotranspiration, runoff, and ocean salinity, and the sources of low‐frequency atmosphere–ocean variability that support mangrove productivity and associated ecosystem services. Results confirm previous work suggesting that the northeast monsoon (kaskazi) largely corresponds to the “short rains” of October–December and extends through February, while the southeast monsoon (kusi) corresponds to the “long rains” of March–May and the drier June–September. The Indian Ocean Dipole (IOD) and, to a lesser extent, El Niño–Southern Oscillation (ENSO) are important modulators not only of precipitation (as has been shown previously) but also of water vapour flux, evapotranspiration, runoff, and salinity variability. During kaskazi, positive (negative) hydroclimatic anomalies occur during positive (negative) IOD, with a stronger IOD influence occurring during its positive phase, when seasonal anomalies of precipitation, evapotranspiration, and runoff exceed +50, 25, and 100%, and nearby salinity decreases by 0.5 practical salinity units. During kusi, the contrast between the positive and negative IOD modes is subtler, and the pattern is dictated more by variability in “long rains” months than in the dry months. The coincidence of the positive IOD and El Niño amplify this hydroclimatic signal. Because previous work suggests the likelihood of increased tendency for positive IOD and increased moisture variability associated with El Niño events in the future, wetter conditions may accompany the kaskazi, with less change expected during the kusi. These results advance understanding of the key environmental drivers controlling mangrove productivity and wetland spatial distribution that provide ecosystem services essential to the well‐being of the human population.

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Section: Introductionmentioning

confidence: 99%

Inter‐annual hydroclimatic variability in coastal Tanzania

Rohli

Ates

Rivera‐Monroy

et al. 2019

Intl Journal of Climatology

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“…Indeed, the first peer review published vegetation studies, beginning in the late 1970s (e.g., [59][60][61][62]) were performed mainly in areas undergoing both wetland loss and net gain (Figures 1 and 3). These contrasting regions are the Barataria Bay, an area with major wetland loss (23 km 2 year −1 from 1974-1990) [14], and the Atchafalaya Delta, which, along with Wax Lake Delta, is the only coastal region where wetlands continue to emerge and expand as result of hydrological alterations for flood protection upstream in the Mississippi River Basin [63][64][65][66]. Wetlands in those regions are impacted by oil and gas exploration/transport activities ( Figure 2) that are magnified by their interactions with the regulatory effect of local (i.e., salinity, hydrology, hydroperiod) and regional (i.e., subsidence, sea level rise) environmental drivers [67,68].…”

Section: Biomass and Productivity Studies Frequency And Spatial Distrmentioning

confidence: 99%

“…Moreover, there is a contrast in the number of studies and ecological data in both coastal plains, with the lowest number of studies observed in the Chenier Plain (n = 15; Figure 1; Sabine Basin, Calcasieu, Mermentau, Vermillio-Teche) during the selected period . Although the specific contribution of oil and gas infrastructure to net wetland loss in Louisiana has been under discussion and litigation over the last three decades [63,153,154], it is acknowledged that this industry has contributed to wetland fragmentation, subsidence, and erosion at large spatial scales [155,156]. Figure 2 shows the current spatial pipelines coverage and location of natural gas infrastructure (terminals, storage, processing), refineries, and electric generators [57].…”

Section: Basin-level Vegetation Data Availability and Human Impactsmentioning

confidence: 99%

Wetland Biomass and Productivity in Coastal Louisiana: Base Line Data (1976–2015) and Knowledge Gaps for the Development of Spatially Explicit Models for Ecosystem Restoration and Rehabilitation Initiatives

Rivera‐Monroy

Elliton

Narra

et al. 2019

Water

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Coastal Louisiana hosts 37% of the coastal wetland area in the conterminous US, including one of the deltaic coastal regions more susceptible to the synergy of human and natural impacts causing wetland loss. As a result of the construction of flood protection infrastructure, dredging of channels across wetlands for oil/gas exploration and maritime transport activities, coastal Louisiana has lost approximately 4900 km2 of wetland area since the early 1930s. Despite the economic relevance of both wetland biomass and net primary productivity (NPP) as ecosystem services, there is a lack of vegetation simulation models to forecast the trends of those functional attributes at the landscape level as hydrological restoration projects are implemented. Here, we review the availability of peer-reviewed biomass and NPP wetland data (below and aboveground) published during the period 1976–2015 for use in the development, calibration and validation of high spatial resolution (<200 m × 200 m) vegetation process-based ecological models. We discuss and list the knowledge gaps for those species that represent vegetation community associations of ecological importance, including the long-term research issues associated to limited number of paired belowground biomass and productivity studies across hydrological basins currently undergoing different freshwater diversions management regimes and hydrological restoration priorities.

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