scholarly journals Supplementary material to "Climate Change Projections of Terrestrial Primary Productivity over the Hindu Kush Himalayan Forests"

Author(s):  
Halima Usman ◽  
Thomas A. M. Pugh ◽  
Anders Ahlström ◽  
Sofia Baig
2020 ◽  
Author(s):  
Halima Usman ◽  
Thomas A. M. Pugh ◽  
Anders Ahlström ◽  
Sofia Baig

Abstract. Increasing atmospheric carbon dioxide concentration [CO2] caused by anthropogenic activities has triggered a requirement to predict the future impact of [CO2] on forests. The Hindu Kush Himalayan (HKH) region comprises a vast territory including forests, grasslands, farmlands and wetland ecosystems. In this study, the impacts of climate change and land use change on forest carbon fluxes and vegetation productivity are assessed for HKH using the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS). LPJ-GUESS simulations were driven by an ensemble of three climate models participating in the CMIP5 (Coupled Model Intercomparison Project Phase 5) database. The modeled estimates of vegetation carbon (VegC) and terrestrial primary productivity were compared with observation-based estimates. Furthermore, we also explored the net biome productivity (NBP) and VegC over HKH for the period 1850–2100 under the future climate scenarios RCP2.6 and RCP8.5. A reduction is observed in modeled NBP and VegC from 1951–2005 primarily due to land use change. However, an increase in both NBP and VegC is predicted under RCP2.6 and RCP8.5. The findings of the study have important implications for management of the HKH region and inform strategic decision making, land use planning and clarify policy concerns.


2017 ◽  
Vol 8 (3) ◽  
pp. 185-198 ◽  
Author(s):  
Jayanarayanan Sanjay ◽  
Raghavan Krishnan ◽  
Arun Bhakta Shrestha ◽  
Rupak Rajbhandari ◽  
Guo-Yu Ren

2021 ◽  
Vol 12 (3) ◽  
pp. 857-870
Author(s):  
Halima Usman ◽  
Thomas A. M. Pugh ◽  
Anders Ahlström ◽  
Sofia Baig

Abstract. Increasing atmospheric carbon dioxide concentration [CO2] caused by anthropogenic activities has triggered a requirement to predict the future impact of [CO2] on forests. The Hindu Kush Himalayan (HKH) region comprises a vast territory including forests, grasslands, farmlands and wetland ecosystems. In this study, the impacts of climate change and land-use change on forest carbon fluxes and vegetation productivity are assessed for HKH using the Lund–Potsdam–Jena General Ecosystem Simulator (LPJ-GUESS). LPJ-GUESS simulations were driven by an ensemble of three climate models participating in the CMIP5 (Coupled Model Intercomparison Project phase 5) database. The modelled estimates of vegetation carbon (VegC) and terrestrial primary productivity were compared with observation-based estimates. Furthermore, we also explored the net biome productivity (NBP) and its components over HKH for the period 1851–2100 under the future climate scenarios RCP2.6 and RCP8.5. A reduced modelled NBP (reduced C sink) is observed from 1986–2015 primarily due to land-use change. However, an increase in NBP is predicted under RCP2.6 and RCP8.5. The findings of the study have important implications for the management of the HKH region, in addition to informing strategic decision making and land-use planning, and clarifying policy concerns.


2020 ◽  
Author(s):  
Sugata Narsey ◽  
Josephine R. Brown ◽  
Robert A. Colman ◽  
Francois Delage ◽  
Scott Brendan Power ◽  
...  

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 715
Author(s):  
Cristina Andrade ◽  
Sandra Mourato ◽  
João Ramos

Climate change is expected to influence cooling and heating energy demand of residential buildings and affect overall thermal comfort. Towards this end, the heating (HDD) and cooling (CDD) degree-days along with HDD + CDD were computed from an ensemble of seven high-resolution bias-corrected simulations attained from EURO-CORDEX under two Representative Concentration Pathways (RCP4.5 and RCP8.5). These three indicators were analyzed for 1971–2000 (from E-OBS) and 2011–2040, and 2041–2070, under both RCPs. Results predict a decrease in HDDs most significant under RCP8.5. Conversely, it is projected an increase of CDD values for both scenarios. The decrease in HDDs is projected to be higher than the increase in CDDs hinting to an increase in the energy demand to cool internal environments in Portugal. Statistically significant linear CDD trends were only found for 2041–2070 under RCP4.5. Towards 2070, higher(lower) CDD (HDD and HDD + CDD) anomaly amplitudes are depicted, mainly under RCP8.5. Within the five NUTS II


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