Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Randall J. Donohue"'
Publikováno v:
Ecosphere, Vol 13, Iss 3, Pp n/a-n/a (2022)
Abstract The observed spatial and temporal dynamics in landscape and ecosystem resources are the net effects of natural processes and management activities. Monitoring the impact that humans have on these resources requires that these two sources of
Externí odkaz:
https://doaj.org/article/23884214986a4fd5860816b686fb6f6f
Autor:
Yang Chen, Tim R. McVicar, Randall J. Donohue, Nikhil Garg, François Waldner, Noboru Ota, Lingtao Li, Roger Lawes
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1653 (2020)
The onus for monitoring crop growth from space is its ability to be applied anytime and anywhere, to produce crop yield estimates that are consistent at both the subfield scale for farming management strategies and the country level for national crop
Externí odkaz:
https://doaj.org/article/9572d1970c294102aa33830f6ff49cf5
Autor:
Noboru Ota, Roger Lawes, Lingtao Li, Tim R. McVicar, Yang Chen, Randall J. Donohue, François Waldner, Nikhil Garg
Publikováno v:
Remote Sensing; Volume 12; Issue 10; Pages: 1653
Remote Sensing, Vol 12, Iss 1653, p 1653 (2020)
Remote Sensing, Vol 12, Iss 1653, p 1653 (2020)
The onus for monitoring crop growth from space is its ability to be applied anytime and anywhere, to produce crop yield estimates that are consistent at both the subfield scale for farming management strategies and the country level for national crop
Publikováno v:
Nature Climate Change. 9:44-48
Climate model projections using offline aridity and/or drought indices predict substantial terrestrial drying over the twenty-first century1–11. However, these same models also predict an increased runoff12–15. This contradiction has been linked
Publikováno v:
Field Crops Research. 227:79-90
Existing agricultural grain yield models predict yield at the field scale, or at regional scales (like districts and countries), but not both with consistent accuracy. Here we describe a scalable, satellite-based yield model called C-Crop. It is cali
Publikováno v:
Remote Sensing of Environment. 216:44-56
The vegetation index-based (VI-based) mixture model is widely used to derive green fractional vegetation cover (FVC) from remotely sensed data. Two critical parameters of the model are the vegetation index values of fully-vegetated and bare soil pixe
Autor:
Tim R. McVicar, Yuting Yang, Junlong Zhang, Lu Zhang, Michael L. Roderick, Francis H. S. Chiew, Yongqiang Zhang, Randall J. Donohue
Publikováno v:
Water Resources Research. 53:4821-4837
Drought, generally characterized by below-average water supply, propagates through the hydrologic system with consequent ecological and societal impacts. Compared with other drought aspects, the recovery of drought especially in the hydrological comp
Publikováno v:
Journal of Geophysical Research: Biogeosciences. 122:168-184
Elevated CO2 increases leaf-level water-use efficiency (ω) almost universally. How canopy-level transpiration and assimilation fluxes respond to increased ω is currently unclear. We present a simple, resource-availability-based hypothesis of how eq
Publikováno v:
Journal of Hydrology. 543:595-611
Vegetation patterns are affected by water availability, which, in turn, influences the hydrological partitioning and regional water balance, especially in water-limited regions. Considering the important role of vegetation in partitioning the catchme
Publikováno v:
Water Resources Research. 52:8260-8276
Plant rooting depth (Zr) is a key parameter in hydrological and biogeochemical models, yet the global spatial distribution of Zr is largely unknown due to the difficulties in its direct measurement. Additionally, Zr observations are usually only repr