Geology Reports⌕ Search

USGS · 70173625

Landsat imagery reveals declining clarity of Maine’s lakes during 1995-2010

Abstract

Water clarity is a strong indicator of regional water quality. Unlike other common water-quality metrics, such as chlorophyll a , total P, or trophic status, clarity can be accurately and efficiently estimated remotely on a regional scale. Satellite-based remote sensing is useful in regions with many lakes where traditional field-sampling techniques may be prohibitively expensive. Repeated sampling of easily accessed lakes can lead to spatially irregular, nonrandom samples of a region. Remote sensing remedies this problem. We applied a remote monitoring protocol we had previously developed for Maine lakes >8 ha based on Landsat satellite data recorded during 1995–2010 to identify spatial and temporal patterns in Maine lake clarity. We focused on the overlapping region of Landsat paths 11 and 12 to increase availability of cloud-free images in August and early September, a period of relative lake stability and seasonal poor-clarity conditions well suited for annual monitoring. We divided Maine into 3 regions (northeastern, south-central, western) based on morphometric and chemical lake features. We found a general decrease in average statewide lake clarity from 4.94 to 4.38 m during 1995–2010. Water clarity ranged from 4 to 6 m during 1995–2010, but it decreased consistently during 2005–2010. Clarity in both the northeastern and western lake regions has decreased from 5.22 m in 1995 to 4.36 and 4.21 m, respectively, in 2010, whereas lake clarity in the south-central lake region (4.50 m) has not changed since 1995. Climate change, timber harvesting, or watershed morphometry may be responsible for regional water-clarity decline. Remote sensing of regional water clarity provides a more complete spatial perspective of lake water quality than existing, interest-based sampling. However, field sampling done under existing monitoring programs can be used to calibrate accurate models designed to estimate water clarity remotely.

Explore related subjects

90° N90° S · 180° W ← longitude → 180° E
Source-reported bounding extent: 43.059825° to 47.459686° latitude; -71.084334° to -66.950569° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ian M. McCullough, Cynthia S. Loftin, Steven A. Sader. 2013. Landsat imagery reveals declining clarity of Maine’s lakes during 1995-2010. https://doi.org/10.1899/12-070.1

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related USGS reports

Foodweb transfer and associated human exposure to methylmercury in Flathead Lake, Montana, USA

Reintroducing traditional foods into Indigenous contemporary diets can improve human health outcomes but may increase exposure to toxins, such as methylmercury (MeHg) in fish. This study examined the Confederated Salish and Kootenai Tribes (CSKT) Lake Trout ( Salvelinus namaycush [Walbaum, 1792]) suppression program in Flathead Lake, Montana, USA, a management strategy to restore the native fishery that may affect the food web and MeHg biomagnification rates. CSKT sells harvested Lake Trout ≤610 mm in length in local markets, donating a portion to local food pantries. We asked 1) To what extent do length and trophic level control MeHg concentrations in Lake Trout, Lake Whitefish ( Coregonus clupeaformis [Mitchill, 1818]), and Bull Trout (Salvelinus confluentus [Suckley, 1859]) in Flathead Lake? and 2) What are the health outcomes for Tribal women of childbearing age consuming fish fillets donated to local food pantries by CSKT? We calculated the MeHg biomagnification slope; modeled relationships between fish length, trophic position, and MeHg concentration; used probabilistic modeling to assess safe fish-consumption levels; evaluated fish-consumption habits of Tribal women; and estimated a benefit–risk quotient (BRQ) for Lake Trout. The MeHg biomagnification slope was 0.18 (CI: 0.17, 0.19), similar to oligotrophic, temperate lakes where Lake Trout are the top predator. Fish length and C and N isotope ratios explained 88% of the variation in log e (MeHg) concentration in Lake Trout. Fish-consumption rates among Tribal women were below federal MeHg exposure limits. Our models suggested 1 serving of Lake Trout per week poses minimal risk of exceeding MeHg intake guidelines. However, to meet essential fatty acids (EFA) intake recommendations, our BRQ analysis suggests Lake Trout should be consumed alongside fish with higher EFA and lower MeHg. Our interdisciplinary analysis suggests CSKT’s natural resource management strategy is likely a key factor in influencing MeHg accumulation in the Flathead Lake food web and subsequent transfer to people.

Montana↗

Stream health shows indirect and threshold responses to implementation of agricultural conservation practices

Many agricultural conservation practices (hereafter conservation practices) are intended to protect streams from the deleterious effects of agriculture, but desired effects of their implementation are not always realized. Understanding the pathways through which conservation practices influence stream health can guide future implementation. Our goal was to quantify how conservation practices influence stream health in pastureland watersheds. We asked 4 research questions: R1) What are the effects of land use and conservation practices on instream conditions? R2) What are the effects of instream conditions on biota? R3) What are the relative effects of land use, conservation practices, and instream conditions on biota? R4) How do conservation practice density (no./ha) and agricultural land use interact to influence stream health? We collected data on water quality (total suspended solids, total N, total P, and Escherichia coli bacteria), instream habitat (substrate embeddedness and bank stability), and macroinvertebrate communities from 31 sites in the upper Tennessee River basin of southwest Virginia, USA. The sites collectively represented spatial analytical gradients of agricultural land use and density of conservation practices, with the dominant practices including prescribed grazing, brush management, and fencing. We found that conservation practice implementation was indirectly related to biotic assemblages through changes in water quality and habitat, but practice density in the study area was not associated with instream conditions that supported biotic communities representative of reference conditions. Further improving instream habitat conditions may require innovative conservation practices, targeted placement of practices in critical source areas of pollutants, or higher densities of practices.

Virginia↗

Predicting reach-scale macroinvertebrate community changes due to declining flows in an aridland river

Understanding the connection between streamflow and macroinvertebrate community structure is critical for managing river ecosystems under scenarios of change caused by human activities and drought. Streamflow influences physical habitat characteristics, including depth, water velocity, and substrate composition, which structure macroinvertebrate communities. Although strong empirical evidence has linked macroinvertebrates to these variables, most studies are correlative, and predictive approaches that link altered streamflow to changes in habitat availability and community structure remain limited. To address this gap, we coupled benthic macroinvertebrate surveys with reach-scale, 2-dimensional hydraulic models to quantify changes in community structure in response to altered streamflows. We characterized macroinvertebrate communities and physical habitat conditions in riffle, run, and pool mesohabitats across 3 reaches of a free-flowing section of the Verde River (Arizona, USA) over 3 y and developed hydraulic models using overflight data, ground surveys, and streamflow monitoring. Macroinvertebrate communities differed among mesohabitats, with riffles supporting higher macroinvertebrate densities and pools exhibiting higher taxonomic richness. The 2-dimensional hydraulic models indicated that declining streamflows could reduce the area of suitable habitat in riffles and runs relative to pools, potentially shifting the distribution of mesohabitats and altering community composition. These changes may lead to declines in overall macroinvertebrate diversity and abundance under reduced flow conditions. By explicitly linking streamflow to habitat availability and community structure, this study demonstrates how integrating hydraulic modeling with biological surveys can improve predictions of ecological response to flow alteration. This framework provides a basis for flow management strategies aimed at maintaining habitat heterogeneity and supporting biodiversity in river networks.

Arizona↗