Adobe PDF - 3.4 MB - MD5: 30fafa27275da6c6c284af5f22d40895
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Aug 7, 2019
Dossa, GGO; Schaefer, D; Zhang, J; Tao, J; Tao, J; Corlett, RT; Cunningham, AB; Xu, J; Cornelissen, JHC; Harrison, RD, 2018, "The cover uncovered: bark control over wood decomposition", https://doi.org/10.34725/DVN/5PQSTA, World Agroforestry - Research Data Repository, V1, UNF:6:gaNe973OiWneTMxSdanZ4g== [fileUNF]
Woody debris (WD) represents a globally significant carbon stock and its decomposition returns nutrients to the soil while providing habitat to microbes, plants and animals. Understanding what drives WD decomposition is therefore important. 2. WD decomposition rates differ greatl... |
Tab-Delimited - 12.7 KB - MD5: 100a0db2860ce353db59e9ee2ce45860
This data is a compilation of twig's bark data from the case study with bark's decay rate (k) values obtained after from using non-least -squared (nls) function |
Tab-Delimited - 4.6 KB - MD5: 1fa64621dd5bdd23f77653b28abbb1f1
This represents the decay rate k values of bark and twig without bark obtained after least squared means (lsmeans). |
Tab-Delimited - 10.8 KB - MD5: efba7749ff3b0d79c66e4c1b50104205
This represents the data of the bark removed from twig used for bark decomposition. The bark litter was collected from 15 different species. |
Tab-Delimited - 130.7 KB - MD5: 091e99e49e2e5e9a90f562c1d15d86ec
This represents the data set for the twigs decomposition reported in the case study. In total, 15 species were used and details are in the paper supplementary material. |
Plain Text - 31.1 KB - MD5: 9f2d634d992f4260b2f9c9de81557660
This file is the R script recording analyses conducted on the case study. |
Tab-Delimited - 176.7 KB - MD5: 354b04d2461cd66af52259ee346e3bbf
This data is a compilation of twig data from the case study with the decay rate (k) values obtained after using non-least -squared (nls) function |
Tab-Delimited - 3.8 KB - MD5: 4d2668c427455729a90beb855f0fe61c
This represents the decay rate k values of twig with bark and twig without bark obtained after least squared means (lsmeans) based on best model. |
Aug 7, 2019
Ranjitkar, Sailesh; Sujakhu, Nani Maiya; Merz, Juerg; Kindt, Roeland; Xu, Jianchu; Matin, Mir A; Ali, Mostafa; Zomer, Robert J, 2018, "Replication Data for: Suitability Analysis and Projected Climate Change Impact on Banana and Coffee Production Zones in Nepal", https://doi.org/10.34725/DVN/RXALA0, World Agroforestry - Research Data Repository, V1
The Government of Nepal has identified opportunities in agricultural commercialization, responding to a growing internal demand and expansion of export markets to reduce the immense trade deficit. Several cash crops, including coffee and bananas, have been identified in the recen... |

