scholarly journals Toward an integrated approach to crop production and pollination ecology through the application of remote sensing

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5806 ◽  
Author(s):  
Bryony K. Willcox ◽  
Andrew J. Robson ◽  
Brad G. Howlett ◽  
Romina Rader
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Temporal Variability ◽  
Agricultural Production ◽  
Crop Production ◽  
Pollination Ecology ◽  
Plant Health ◽  
Spatial And Temporal Variability ◽  
Crop Pollination ◽  
Research Fields

Insect pollinators provide an essential ecosystem service by transferring pollen to crops and native vegetation. The extent to which pollinator communities vary both spatially and temporally has important implications for ecology, conservation and agricultural production. However, understanding the complex interactions that determine pollination service provisioning and production measures over space and time has remained a major challenge. Remote sensing technologies (RST), including satellite, airborne and ground based sensors, are effective tools for measuring the spatial and temporal variability of vegetation health, diversity and productivity within natural and modified systems. Yet while there are synergies between remote sensing science, pollination ecology and agricultural production, research communities have only recently begun to actively connect these research areas. Here, we review the utility of RST in advancing crop pollination research and highlight knowledge gaps and future research priorities. We found that RST are currently used across many different research fields to assess changes in plant health and production (agricultural production) and to monitor and evaluate changes in biodiversity across multiple landscape types (ecology and conservation). In crop pollination research, the use of RST are limited and largely restricted to quantifying remnant habitat use by pollinators by ascertaining the proportion of, and/or isolation from, a given land use type or local variable. Synchronization between research fields is essential to better understand the spatial and temporal variability in pollinator dependent crop production. RST enable these applications to be scaled across much larger areas than is possible with field-based methods and will facilitate large scale ecological changes to be detected and monitored. We advocate greater use of RST to better understand interactions between pollination, plant health and yield spatial variation in pollinator dependent crops. This more holistic approach is necessary for decision-makers to improve strategies toward managing multiple land use types and ecosystem services.

scholarly journals Socioeconomic Impacts on Agricultural Land use in the Northeast

1978 ◽  
Vol 7 (2) ◽  
pp. 67-74
Author(s):  
Douglas E. Morris ◽  
Albert E. Luloff
Keyword(s):  
Land Use ◽  
Agricultural Production ◽  
Crop Production ◽  
Agricultural Land ◽  
Soil Improvement ◽  
Agricultural Land Use ◽  
Timber Production ◽  
Crop Acreage ◽  
Socioeconomic Impacts ◽  
Grapes Of Wrath

Joad said, “You're bound to get idears if you go thinkin’ about stuff.”John Steinbeck, The Grapes of WrathPast agricultural programs encouraged the withdrawal of cropland from agricultural production. With the removal of crop acreage restrictions and despite the favorable relationships of the 1972–1974 period, all of this land has not been immediately activated into crop production. Some programs encouraged shifts of cropland to pasture, timber production, or to soil improvement uses. Land converted to these alternatives is potentially available for crop production, but whether or at what rate it will be reemployed remains problematic.

scholarly journals A hydrochemical modelling framework for combined assessment of spatial and temporal variability in stream chemistry: application to Plynlimon, Wales

2001 ◽  
Vol 5 (1) ◽  
pp. 49-58 ◽  
Author(s):  
H.J. Foster ◽  
M.J. Lees ◽  
H.S. Wheater ◽  
C. Neal ◽  
B. Reynolds
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Spatial Variability ◽  
Temporal Variability ◽  
Biological Diversity ◽  
Spatial And Temporal Variability ◽  
Stream Chemistry ◽  
Two Component ◽  
End Members

Abstract. Recent concern about the risk to biota from acidification in upland areas, due to air pollution and land-use change (such as the planting of coniferous forests), has generated a need to model catchment hydro-chemistry to assess environmental risk and define protection strategies. Previous approaches have tended to concentrate on quantifying either spatial variability at a regional scale or temporal variability at a given location. However, to protect biota from ‘acid episodes’, an assessment of both temporal and spatial variability of stream chemistry is required at a catchment scale. In addition, quantification of temporal variability needs to represent both episodic event response and long term variability caused by deposition and/or land-use change. Both spatial and temporal variability in streamwater chemistry are considered in a new modelling methodology based on application to the Plynlimon catchments, central Wales. A two-component End-Member Mixing Analysis (EMMA) is used whereby low and high flow chemistry are taken to represent ‘groundwater’ and ‘soil water’ end-members. The conventional EMMA method is extended to incorporate spatial variability in the two end-members across the catchments by quantifying the Acid Neutralisation Capacity (ANC) of each in terms of a statistical distribution. These are then input as stochastic variables to a two-component mixing model, thereby accounting for variability of ANC both spatially and temporally. The model is coupled to a long-term acidification model (MAGIC) to predict the evolution of the end members and, hence, the response to future scenarios. The results can be plotted as a function of time and space, which enables better assessment of the likely effects of pollution deposition or land-use changes in the future on the stream chemistry than current methods which use catchment average values. The model is also a useful basis for further research into linkage between hydrochemistry and intra-catchment biological diversity. Keywords: hydrochemistry, End-Member Mixing Analysis (EMMA), uplands, acidification

scholarly journals Spatial and temporal variability of inherent and apparent optical properties in western Lake Erie: Implications for water quality remote sensing

2019 ◽  
Vol 45 (3) ◽  
pp. 490-507 ◽  
Author(s):  
Michael J. Sayers ◽  
Karl R. Bosse ◽  
Robert A. Shuchman ◽  
Steven A. Ruberg ◽  
Gary L. Fahnenstiel ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Optical Properties ◽  
Temporal Variability ◽  
Lake Erie ◽  
Spatial And Temporal Variability ◽  
Western Lake ◽  
Western Lake Erie

scholarly journals Inspecting the Food–Water Nexus in the Ogallala Aquifer Region Using Satellite Remote Sensing Time Series

2020 ◽  
Vol 12 (14) ◽  
pp. 2257
Author(s):  
Yuting Zhou ◽  
Hamed Gholizadeh ◽  
G. Thomas LaVanchy ◽  
Emad Hasan
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Agricultural Production ◽  
Satellite Remote Sensing ◽  
Crop Production ◽  
The United States ◽  
Farm Income ◽  
Ogallala Aquifer ◽  
Sustainable Solutions ◽  
Sensing Time

Agricultural production in the Great Plains provides a significant amount of food for the United States while contributing greatly to farm income in the region. However, recurrent droughts and expansion of crop production are increasing irrigation demand, leading to extensive pumping and attendant depletion of the Ogallala aquifer. In order to optimize water use, increase the sustainability of agricultural production, and identify best management practices, identification of food–water conflict hotspots in the Ogallala Aquifer Region (OAR) is necessary. We used satellite remote sensing time series of agricultural production (net primary production, NPP) and total water storage (TWS) to identify hotspots of food–water conflicts within the OAR and possible reasons behind these conflicts. Mean annual NPP (2001–2018) maps clearly showed intrusion of high NPP, aided by irrigation, into regions of historically low NPP (due to precipitation and temperature). Intrusion is particularly acute in the northern portion of OAR, where mean annual TWS (2002–2020) is high. The Oklahoma panhandle and Texas showed large decreasing TWS trends, which indicate the negative effects of current water demand for crop production on TWS. Nebraska demonstrated an increasing TWS trend even with a significant increase of NPP. A regional analysis of NPP and TWS can convey important information on current and potential conflicts in the food–water nexus and facilitate sustainable solutions. Methods developed in this study are relevant to other water-constrained agricultural production regions.

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