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- Zhang, Liangxia; Hu, Zhongmin; Fan, Jiangwen; Zhou, Decheng; Tang, Fengpei
- Frontiers of earth science 2014 v.8 no.4 pp. 599-609
- atmospheric precipitation; biogeochemical cycles; canopy; carbon; cropland; energy; environmental factors; forests; grasslands; growing season; leaf area index; meta-analysis; models; seasonal variation; shrublands; temperature; terrestrial ecosystems
- ... The canopy light extinction coefficient (K) is a key factor in affecting ecosystem carbon, water, and energy processes. However, K is assumed as a constant in most biogeochemical models owing to lack of in-site measurements at diverse terrestrial ecosystems. In this study, by compiling data of K measured at 88 terrestrial ecosystems, we investigated the spatiotemporal variations of this index acro ...
- O’Neill, B. F.; Ruelle, E.; O’Donovan, M.; Shalloo, L.; Mulligan, F. J.; Boland, T. M.; Delaby, L.; Delagarde, R.; Lewis, E.
- Animal 2014 v.8 no.4 pp. 596-609
- body condition; calving; cell death; cell differentiation; dairy cows; data collection; decision making; dry matter intake; energy; grasses; grazing; grazing management; late lactation; milk; milk consumption; milk yield; models; prediction; sward
- ... The prediction of grass dry matter intake (GDMI) and milk yield (MY) are important to aid sward and grazing management decision making. Previous evaluations of the GrazeIn model identified weaknesses in the prediction of GDMI and MY for grazing dairy cows. To increase the accuracy of GDMI and MY prediction, GrazeIn was adapted, and then re-evaluated, using a data set of 3960 individual cow measure ...