Evidence map›Paper›PMID 29547531›Full record

ArticleSensors (Basel, Switzerland)2018

Challenges in Complementing Data from Ground-Based Sensors with Satellite-Derived Products to Measure Ecological Changes in Relation to Climate-Lessons from Temperate Wetland-Upland Landscapes.

Alisa L Gallant, Walt Sadinski, Jesslyn F Brown, Gabriel B Senay, Mark F Roth

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alisa L GallantEarth Resources Observation and Science Center, US Geological Survey, 47914 252nd Street, Sioux Falls, SD 57198, USA. gallant@usgs.gov.ORCID 0000-0002-3029-6637
Walt SadinskiUpper Midwest Environmental Sciences Center, US Geological Survey, 2630 Fanta Reed Road, La Crosse, WI 54603, USA. wsadinski@usgs.gov.
Jesslyn F BrownEarth Resources Observation and Science Center, US Geological Survey, 47914 252nd Street, Sioux Falls, SD 57198, USA. jfbrown@usgs.gov.ORCID 0000-0002-9976-1998
Gabriel B SenayEarth Resources Observation and Science Center, US Geological Survey, 47914 252nd Street, Sioux Falls, SD 57198, USA. senay@usgs.gov.
Mark F RothUpper Midwest Environmental Sciences Center, US Geological Survey, 2630 Fanta Reed Road, La Crosse, WI 54603, USA. mroth@usgs.gov.ORCID 0000-0001-5095-1865

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing climate-related ecological changes across spatiotemporal scales meaningful to resource managers is challenging because no one method reliably produces essential data at both fine and broad scales. We recently confronted such challenges while integrating data from ground- and satellite-based sensors for an assessment of four wetland-rich study areas in the U.S. Midwest. We examined relations between temperature and precipitation and a set of variables measured on the ground at individual wetlands and another set measured via satellite sensors within surrounding 4 km² landscape blocks. At the block scale, we used evapotranspiration and vegetation greenness as remotely sensed proxies for water availability and to estimate seasonal photosynthetic activity. We used sensors on the ground to coincidentally measure surface-water availability and amphibian calling activity at individual wetlands within blocks. Responses of landscape blocks generally paralleled changes in conditions measured on the ground, but the latter were more dynamic, and changes in ecological conditions on the ground that were critical for biota were not always apparent in measurements of related parameters in blocks. Here, we evaluate the effectiveness of decisions and assumptions we made in applying the remotely sensed data for the assessment and the value of integrating observations across scales, sensors, and disciplines.

Indexed as

WetlandsClimateClimate Changeclimateevapotranspirationgrowing seasonModerate Resolution Imaging Spectroradiometer (MODIS)Normalized Difference Vegetation Index (NDVI)scalesnow-offstart-of-seasonwaterwetland landscapes

Identifiers

PMID29547531
PMCPMC5876606

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.