The geographical distribution response of plant functional types to climate change in southwestern China

2020 ◽  
Vol 40 (1) ◽  
Author(s):  
陆双飞 LU Shuangfei ◽  
殷晓洁 YIN Xiaojie ◽  
韦晴雯 WEI Qingwen ◽  
张超 ZHANG Chao ◽  
马东旭 MA Dongxu ◽  
...  
Keyword(s):  
Climate Change ◽  
Geographical Distribution ◽  
Plant Functional Types ◽  
Southwestern China ◽  
Functional Types

scholarly journals Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information

2016 ◽  
Author(s):  
Anna Harper ◽  
Peter Cox ◽  
Pierre Friedlingstein ◽  
Andy Wiltshire ◽  
Chris Jones ◽  
...  
Keyword(s):  
Climate Change ◽  
Leaf Nitrogen ◽  
Plant Functional Types ◽  
Deciduous Trees ◽  
C4 Grasses ◽  
Plant Trait ◽  
Functional Types ◽  
C3 And C4 Grasses ◽  
Hadley Centre ◽  
The Uk

Abstract. Dynamic global vegetation models are used to predict the response of vegetation to climate change. They are essential for planning ecosystem management, understanding carbon cycleclimate feedbacks, and evaluating the potential impacts of climate change on global ecosystems. JULES (the Joint UK Land Environment Simulator) represents terrestrial processes in the UK Hadley Centre family of models and in the first generation UK Earth System Model. Previously, JULES represented five plant functional types (PFTs): broadleaf trees, needle-leaf trees, C3 and C4 grasses, and shrubs. This study addresses three developments in JULES. First, trees and shrubs were split into deciduous and evergreen PFTs to better represent the range of leaf lifespans and metabolic capacities that exists in nature. Second, we distinguished between temperate and tropical broadleaf evergreen trees. These first two changes result in a new set of nine PFTs: tropical and temperate broadleaf evergreen trees, broadleaf deciduous trees, needle-leaf evergreen and deciduous trees, C3 and C4 grasses, and evergreen and deciduous shrubs. Third, using data from the TRY database, we updated the relationship between leaf nitrogen and the maximum rate of carboxylation of Rubisco (Vcmax), and updated the model phenology to include a trade-off between leaf lifespan and leaf mass per unit area.

scholarly journals Simulated annual changes in plant functional types and their responses to climate change on the northern Tibetan Plateau

2016 ◽  
Vol 13 (12) ◽  
pp. 3533-3548 ◽  
Author(s):  
Lan Cuo ◽  
Yongxin Zhang ◽  
Shilong Piao ◽  
Yanhong Gao
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Tibetan Plateau ◽  
Soil Temperature ◽  
Root Zone ◽  
Plant Functional Types ◽  
Atmospheric Conditions ◽  
Dynamic Global Vegetation Model ◽  
Northern Tibetan Plateau ◽  
Functional Types

Abstract. Changes in plant functional types (PFTs) have important implications for both climate and water resources. Still, little is known about whether and how PFTs have changed over the past decades on the northern Tibetan Plateau (NTP) where several of the top largest rivers in the world are originated. Also, the relative importance of atmospheric conditions vs. soil physical conditions in affecting PFTs is unknown on the NTP. In this study, we used the improved Lund–Potsdam–Jena Dynamic Global Vegetation Model to investigate PFT changes through examining the changes in foliar projective coverages (FPCs) during 1957–2009 and their responses to changes in root zone soil temperature, soil moisture, air temperature, precipitation and CO2 concentrations. The results show spatially heterogeneous changes in FPCs across the NTP during 1957–2009, with 34 % (13 %) of the region showing increasing (decreasing) trends. Dominant drivers responsible for the observed FPC changes vary with regions and vegetation types, but overall, precipitation is the major factor in determining FPC changes on the NTP with positive impacts. Soil temperature increase exhibits small but negative impacts on FPCs. Different responses of individual FPCs to regionally varying climate change result in spatially heterogeneous patterns of vegetation changes on the NTP. The implication of the study is that fresh water resources in one of the world's largest and most important headwater basins and the onset and intensity of Asian monsoon circulations could be affected because of the changes in FPCs on the NTP.

Sensitivity of plant functional types to climate change: classification tree analysis of a simulation model

2010 ◽  
Vol 21 (3) ◽  
pp. 447-461 ◽  
Author(s):  
Alexandra Esther ◽  
Jürgen Groeneveld ◽  
Neal J. Enright ◽  
Ben P. Miller ◽  
Byron B. Lamont ◽  
...  
Keyword(s):  
Climate Change ◽  
Simulation Model ◽  
Classification Tree ◽  
Plant Functional Types ◽  
Classification Tree Analysis ◽  
Tree Analysis ◽  
Functional Types

scholarly journals An assessment of geographical distribution of different plant functional types over North America simulated using the CLASS–CTEM modelling framework

2017 ◽  
Vol 14 (20) ◽  
pp. 4733-4753 ◽  
Author(s):  
Rudra K. Shrestha ◽  
Vivek K. Arora ◽  
Joe R. Melton ◽  
Laxmi Sushama
Keyword(s):  
North America ◽  
Geographical Distribution ◽  
Plant Functional Types ◽  
The Arctic ◽  
Vegetation Coverage ◽  
Fractional Coverage ◽  
Terrestrial Ecosystem Model ◽  
Modelling Framework ◽  
Functional Types ◽  
Vegetation Fractional Coverage

Abstract. The performance of the competition module of the CLASS–CTEM (Canadian Land Surface Scheme and Canadian Terrestrial Ecosystem Model) modelling framework is assessed at 1° spatial resolution over North America by comparing the simulated geographical distribution of its plant functional types (PFTs) with two observation-based estimates. The model successfully reproduces the broad geographical distribution of trees, grasses and bare ground although limitations remain. In particular, compared to the two observation-based estimates, the simulated fractional vegetation coverage is lower in the arid southwest North American region and higher in the Arctic region. The lower-than-observed simulated vegetation coverage in the southwest region is attributed to lack of representation of shrubs in the model and plausible errors in the observation-based data sets. The observation-based data indicate vegetation fractional coverage of more than 60 % in this arid region, despite only 200–300 mm of precipitation that the region receives annually, and observation-based leaf area index (LAI) values in the region are lower than one. The higher-than-observed vegetation fractional coverage in the Arctic is likely due to the lack of representation of moss and lichen PFTs and also likely because of inadequate representation of permafrost in the model as a result of which the C3 grass PFT performs overly well in the region. The model generally reproduces the broad spatial distribution and the total area covered by the two primary tree PFTs (needleleaf evergreen trees, NDL-EVG; and broadleaf cold deciduous trees, BDL-DCD-CLD) reasonably well. The simulated fractional coverage of tree PFTs increases after the 1960s in response to the CO2 fertilization effect and climate warming. Differences between observed and simulated PFT coverages highlight model limitations and suggest that the inclusion of shrubs, and moss and lichen PFTs, and an adequate representation of permafrost will help improve model performance.

scholarly journals Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information

2016 ◽  
Vol 9 (7) ◽  
pp. 2415-2440 ◽  
Author(s):  
Anna B. Harper ◽  
Peter M. Cox ◽  
Pierre Friedlingstein ◽  
Andy J. Wiltshire ◽  
Chris D. Jones ◽  
...  
Keyword(s):  
Climate Change ◽  
Net Primary Productivity ◽  
Leaf Nitrogen ◽  
Plant Functional Types ◽  
Deciduous Trees ◽  
Leaf Life Span ◽  
C4 Grasses ◽  
Data Set ◽  
Functional Types ◽  
C3 And C4 Grasses

Abstract. Dynamic global vegetation models are used to predict the response of vegetation to climate change. They are essential for planning ecosystem management, understanding carbon cycle–climate feedbacks, and evaluating the potential impacts of climate change on global ecosystems. JULES (the Joint UK Land Environment Simulator) represents terrestrial processes in the UK Hadley Centre family of models and in the first generation UK Earth System Model. Previously, JULES represented five plant functional types (PFTs): broadleaf trees, needle-leaf trees, C3 and C4 grasses, and shrubs. This study addresses three developments in JULES. First, trees and shrubs were split into deciduous and evergreen PFTs to better represent the range of leaf life spans and metabolic capacities that exists in nature. Second, we distinguished between temperate and tropical broadleaf evergreen trees. These first two changes result in a new set of nine PFTs: tropical and temperate broadleaf evergreen trees, broadleaf deciduous trees, needle-leaf evergreen and deciduous trees, C3 and C4 grasses, and evergreen and deciduous shrubs. Third, using data from the TRY database, we updated the relationship between leaf nitrogen and the maximum rate of carboxylation of Rubisco (Vcmax), and updated the leaf turnover and growth rates to include a trade-off between leaf life span and leaf mass per unit area.Overall, the simulation of gross and net primary productivity (GPP and NPP, respectively) is improved with the nine PFTs when compared to FLUXNET sites, a global GPP data set based on FLUXNET, and MODIS NPP. Compared to the standard five PFTs, the new nine PFTs simulate a higher GPP and NPP, with the exception of C3 grasses in cold environments and C4 grasses that were previously over-productive. On a biome scale, GPP is improved for all eight biomes evaluated and NPP is improved for most biomes – the exceptions being the tropical forests, savannahs, and extratropical mixed forests where simulated NPP is too high. With the new PFTs, the global present-day GPP and NPP are 128 and 62 Pg C year−1, respectively. We conclude that the inclusion of trait-based data and the evergreen/deciduous distinction has substantially improved productivity fluxes in JULES, in particular the representation of GPP. These developments increase the realism of JULES, enabling higher confidence in simulations of vegetation dynamics and carbon storage.

scholarly journals An assessment of geographical distribution of different plant functional types over North America simulated using the CLASS-CTEM modelling framework

2017 ◽  
Author(s):  
Rudra K. Shrestha ◽  
Vivek K. Arora ◽  
Joe R. Melton ◽  
Laxmi Sushama
Keyword(s):  
North America ◽  
Geographical Distribution ◽  
Plant Functional Types ◽  
The Arctic ◽  
Vegetation Coverage ◽  
Fractional Coverage ◽  
Modelling Framework ◽  
South West ◽  
Functional Types ◽  
Vegetation Fractional Coverage

Abstract. The performance of the competition module of the CLASS-CTEM (Canadian Land Surface Scheme and Canadian Terrestrial Ecosystem Model) modelling framework is assessed at 1° spatial resolution over North America by comparing the simulated geographical distribution of plant functional types (PFTs) with two observation-based estimates. The model successfully reproduces the broad geographical distribution of trees, grasses and bare ground although limitations remain. In particular, compared to the two observation-based estimates, the simulated fractional vegetation coverage is lower in the arid south-west North American region and higher in the Arctic region. The lower than observed simulated vegetation coverage in the south-west region is attributed to lack of representation of shrubs in the model and plausible errors in the observation-based data sets. The observation-based data indicates vegetation fractional coverage of more than 60 % in this arid region, despite only 200–300 mm of precipitation that the region receives annually and observation-based leaf area index (LAI) in the region are lower than one. The higher than observed vegetation fractional coverage in the Arctic is due to the lack of representation of moss and lichen PFTs and also likely because of inadequate representation of permafrost in the model as a result of which the C3 grass PFT performs overly well in the region. The model generally reproduces the broad spatial distribution and the total area covered by the two primary tree PFTs (needleleaf evergreen and broadleaf cold deciduous trees) reasonably well. The simulated fractional coverage of tree PFTs increases after 1960s in response to the CO2 fertilization effect and climate warming. Differences between observed and simulated PFT coverages highlight limitations in the model and provide insight into physical and structural processes that need improvement.

Sign in / Sign up

Export Citation Format

Share Document