scholarly journals A global dataset of seaweed net primary productivity

2021 ◽  
Author(s):  
Albert Pessarrodona ◽  
Karen Filbee-Dexter ◽  
Kira A Krumhansl ◽  
Pippa J Moore ◽  
Thomas Wernberg

Net primary productivity (NPP) plays a pivotal role in the global carbon balance, but estimating the NPP of underwater habitats remains a challenging task. Seaweeds (marine macroalgae) form the largest and most productive underwater vegetated habitat on Earth. Yet, little is known about the distribution of their NPP at large spatial scales, despite more than 70 years of local-scale studies being scattered throughout the literature. We present a global dataset containing NPP records for 242 seaweed species at 419 individual sites distributed on all continents from the intertidal to 55 m depth. All records are standardized to annual aerial carbon production (g C m-2 yr-1) and are accompanied by detailed taxonomical and methodological information. The dataset presented here provides a basis for local, regional and global comparative studies of the NPP of underwater vegetation, and is pivotal for achieving a better understanding of the role seaweeds play in the global coastal carbon cycle.

OSEANA ◽  
2019 ◽  
Vol 44 (2) ◽  
pp. 35-48
Author(s):  
Mochamad Ramdhan Firdaus ◽  
Lady Ayu Sri Wijayanti

PHYTOPLANKTON AND GLOBAL CARBON CYCLE. Scientists around the world believe that phytoplankton, although microscopic, have a large role in the global carbon cycle. Various research results show that the net primary productivity of all phytoplankton in the sea is almost as large as the net primary productivity of all plants on land. Phytoplankton through the process of photosynthesis absorbs 40-50 PgC / year from the atmosphere. Also, phytoplankton is known to be responsible for transporting carbon from the atmosphere to the seafloor through the carbon biological pump mechanism. Phytoplankton from the coccolithophores group is known to play a role in the sequestration of carbon on the seabed through the carbonate pump mechanism. The mechanism is capable of sequestering carbon for thousands of years on the seabed in the form of sedimentary rocks (limestone).


2011 ◽  
Vol 92 (6) ◽  
pp. 1651-1662 ◽  
Author(s):  
Shaoqiang Wang ◽  
Lei Zhou ◽  
Jingming Chen ◽  
Weimin Ju ◽  
Xianfeng Feng ◽  
...  

2020 ◽  
Vol 263 ◽  
pp. 121470
Author(s):  
Fei Mo ◽  
Kai-Liang Yu ◽  
Thomas W. Crowther ◽  
Jian-Yong Wang ◽  
Hong Zhao ◽  
...  

2016 ◽  
Author(s):  
Zheng-Guo Sun ◽  
Jie Liu ◽  
Hai-Yang Tang

Abstract. Grassland ecosystems play important roles in the global carbon cycle. The net primary productivity (NPP) of grassland ecosystems has become the hot spot of terrestrial ecosystems. To simulate grassland NPP in Southern China, a new productivity coupling hydrothermal factors (PCH) model was built and validated based on data recorded from 2003 to 2014. The results show a logarithmic correlation between grassland NPP and mean annual temperature and a linear positive correlation between grassland NPP and mean annual precipitation in Southern China, both highly significant relationships. There was a highly significant correlation between simulated and measured NPP (R2 = 0.8027). Both RMSE and RRMSE were relatively low, showing that the simulation results of the model were reliable. The NPP values in the study area had a decreasing trend from east to west and south to north. Mean NPP was 471.62 g C m−2 from 2003 to 2014. Additionally, the mean annual NPP of Southern grassland presented a rising trend increasing 3.49 g C m−2 yr−2 during the past 12 years. These results document performance and use of a new method to estimate the grassland NPP in Southern China.


2000 ◽  
Vol 30 (6) ◽  
pp. 939-947 ◽  
Author(s):  
B D Amiro ◽  
J M Chen ◽  
Jinjun Liu

Recent modelling results indicate that forest fires and other disturbances determine the magnitude of the Canadian forest carbon balance. The regeneration of post-fire vegetation is key to the recovery of net primary productivity (NPP) following fire. We geographically co-registered pixels classed using the Boreal Ecosystem Productivity Simulator, a process-based model with AVHRR (advanced very-high resolution radiometer) satellite estimates of leaf-area index and land cover type, with polygons from a recent database of large Canadian fires. NPP development with time since fire was derived for the first 15 years following the disturbance in the boreal and taiga ecozones. About 7 × 106 ha were analysed for over 500 fires occurring between 1980 and 1994. NPP increases linearly through this period, at rates that depend on ecoregion. A longer data set for the Boreal Plains ecozone of Alberta shows that NPP levels off at about 20-30 years and remains constant for 60 years. The NPP trajectories can be used as spatial averages to support models of forest carbon balance and succession through the most fire-prone regions of Canada.


2018 ◽  
Vol 24 (9) ◽  
pp. 4293-4303 ◽  
Author(s):  
Liubov Volkova ◽  
Stephen H. Roxburgh ◽  
Christopher J. Weston ◽  
Richard G. Benyon ◽  
Andrew L. Sullivan ◽  
...  

2017 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
D. Sulistiawati ◽  
Luky Adrianto ◽  
I. Muchsin ◽  
A. Masyahoro

Memahami tingkat pemanfaatan sumberdaya alam sangat penting dalam pengelolaan sumberdaya perikanan. Penelitian ini bertujuan untuk menilai keseuaian pemanfaatan sumberdaya perikanan di Kecamatan Una-Una (lokal) dan Kabupaten Tojo Una-Una (regional). Metode yang dilakukan desk study dan survey lapang. Data yang diperoleh dianalisis menggunakan pendekatan  HANPP (Human Appropriation of Net Primary Productivity). Hasil yang diperoleh bahwa HANPP lokal sebesar 7,93 109 kJ dengan rasio HANPP-NPP (Net Primary Productivity) sebesar 55,50, sedangkan tingkat regional sebesar 0,93 1012 kJ dengan rasio HANPP-NPP sebesar 28,17. Hal ini menunjukkan bahwa kolonisasi nelayan regional lebih efisien dalam memenuhi kebutuhan produktivitas primernya dibanding nelayan lokal. Tittle: Analysis of Socio-Ecological Suitability of Fishery Resources Exploitation Based on Primary Productivity in the Una Una District and Tojo Una Una Regency of Central Sulawesi Province.Understanding level of natured resource is very important in fisheries managemant. The objectives of thist study is to assess marine fisheries exploitation in the Una-Una district (local scale) and Tojo Una-Una regency (regional scale). This research used a desk and field survey. Data obtained  were analyzed using HANPP (Human Appropriation of Net Primary Productivity). Results of the study showed that HANPP at local level 7.93 109 kJ with HANPP-NPP ratio 55.5 while HANPP of regional level was  0.93 1012 kJ with HANPP ratio of 28.17. These results indicated that a colonize regional fishers was more efficient than local fishers in appealling their primary productivity.


2017 ◽  
Vol 88 ◽  
pp. 41-52 ◽  
Author(s):  
Matthias Kuhnert ◽  
Jagadeesh Yeluripati ◽  
Pete Smith ◽  
Holger Hoffmann ◽  
Marcel van Oijen ◽  
...  

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1587
Author(s):  
Xiaomeng Guo ◽  
Siqin Tong ◽  
Jinyuan Ren ◽  
Hong Ying ◽  
Yuhai Bao

Vegetation net primary productivity (NPP) is an important aspect of the global carbon cycle, and its change is closely related to climate change. This study analyzed the spatial-temporal variation of the standardized precipitation evapotranspiration index (SPEI) and NPP in the Mongolian Plateau, and investigated the effect of drought on NPP. To this end, NPP was simulated using the Carnegie-Ames-Stanford Approach (CASA) model. The results showed that from 1982 to 2014, NPP exhibited an upward trend in different seasons, and a significant increasing trend in most areas in the growing season and spring. The degree of drought also showed an increasing trend in each season. Moreover, the decrease in NPP and SPEI in Mongolia was larger than that in Inner Mongolia. Vegetation showed a positive correlation with SPEI in the growing season and summer, but a negative correlation in the other seasons. Moreover, the impact of drought on vegetation in the growing season showed a lag effect, whereas the lag response was inconspicuous during the early stages of the growing season. Different vegetation NPP responded strongly to the SPEI of the current month and the previous month.


Sign in / Sign up

Export Citation Format

Share Document