scholarly journals BIOMASSA AND ACCUMULATION CARBON ON SEAGRASS Enhalus acroides IN GUNUNG BOTAK BAY COASTAL, WEST PAPUA

Author(s):  
Ferawati Runtuboi ◽  
Julius Nugroho ◽  
Yahya Rahakratat

Seagrass is a high level and a flowering plant that is fully adapted to life in the coastal and has ability to store carbon by 10% of the carbon content in the oceans. The research doing at Gunung Botak Bay Coastal South Manokwari Regency with objective of research to estimate seagrass density and to estimate rate accumulation of carbon from Enhalus acroides. Some the stages of the research done is density sample as long to period 2015 (April and Mei) into (September and Ocktober). Other sampling to collecting seagrass to estimate carbon storage in part like daun, rhizome root and substrat. Result to showing average carbon accumulation of seagrass in above below ground is rhizome part and higher in Statiun1 (13.16±3.8),stasiun 3 (5.4±2.9) dan stasiun 5 (6.2±1.1) or the generally accumulation carbon in the three is 8.24 kg from Enhalus acroides. Future more, accumulation carbon in sediment as a 1664,2 in dept 0-20 cm and 20-60 cm. Seagrass carbon storage capabilities will assist in mitigation efforts to reduce the impact of climate change in Indonesia, especially in West Papua.

Author(s):  
Marcel van Oijen ◽  
Gianni Bellocchi ◽  
Mats Höglind

There is increasing evidence that the impact of climate change on the productivity of grasslands will at least partly depend on their biodiversity. A high level of biodiversity may confer stability to grassland ecosystems against environmental change, but there are also direct effects of biodiversity on the quantity and quality of grassland productivity. To explain the manifold interactions, and to predict future climatic responses, models may be used. However, models designed for studying the interaction between biodiversity and productivity tend to be structurally different from models for studying the effects of climatic impacts. Here we review the literature on the impacts of climate change on biodiversity and productivity of grasslands. We first discuss the availability of data for model development. Then we analyse strengths and weaknesses of three types of model: ecological, process-based and integrated. We discuss the merits of this model diversity and the scope for merging different model types.


2020 ◽  
Vol 21 (10) ◽  
Author(s):  
AHMAD DWI SETYAWAN ◽  
JATNA SUPRIATNA ◽  
NISYAWATI NISYAWATI ◽  
ILYAS NURSAMSI ◽  
SUTARNO SUTARNO ◽  
...  

Abstract. Setyawan AD, Supriatna J, Nisyawati, Nursamsi I, Sutarno, Sugiyarto, Sunarto, Pradan P, Budiharta S, Pitoyo A, Suhardono S, Setyono P, Indrawan M. 2020. Predicting potential impacts of climate change on the geographical distribution of mountainous selaginellas in Java, Indonesia. Biodiversitas 21: 4866-4877. Selaginella is a genus of non-flowering plant that requires water as a medium for fertilization, as such, it prefers mountainous areas with high level of humidity. Such unique ecosystem of Selaginella is available in some parts of Java Island, Indonesia, especially in highland areas with altitude of more than 1,000 meters above sea level. However, most mountainous areas in Java are likely to be affected by climate change due to global warming, threatening the habitat and sustainability of Selaginella. This study aimed to investigate the impacts of climate change on the geographical distribution of Selaginella opaca Warb. and Selaginella remotifolia Spring. In doing so, we predicted the suitable habitats of both species using Species Distribution Model (SDM) tool of MaxEnt under present climate conditions and future conditions under four climate change scenarios. Species occurrence data were obtained from fieldworks conducted in 2007-2014 across Java Island (283 points: 144 and 139 points for S. opaca and S. remotifolia, respectively) and combined with secondary data from Global Biodiversity Information Facility (GBIF) (52 points: 35 and 17 points for S. opaca and S. remotifolia, respectively), and this dataset was used to model present geographical distribution using environmental and bioclimatic variables. Then, future distribution was predicted under four climate change scenarios: i.e. RCP (Representative Carbon Pathways) 2.6, RCP 4.5, RCP 6.0, and RCP 8.5 in three different time periods (2030, 2050, and 2080). The results of the models showed that the extent of suitable habitats of S. opaca and S. remotifolia will be reduced between 1.8-11.4% due to changes in climatic condition, and in the areas with high level of habitat suitability, including Mount Sumbing, Mount Sindoro and Mount Dieng (Dieng Plateau), the reduction can reach up to 60%. This study adds another context of evidence to understand the potential impacts of climate change on biodiversity, especially on climate-sensitive species, such as Selaginella, in climate-risk regions like mountainous areas of Java Island.


2021 ◽  
Author(s):  
Elizabeth Jane Macpherson ◽  
Stephen C. Urlich ◽  
Hamish G. Rennie ◽  
Adrienne Paul ◽  
Karen Fisher ◽  
...  

There remains uncertainty about the legal and policy tools, processes and institutions needed to support ecosystem-based marine management (EBM). This article relies on an interdisciplinary study of ecosystem-based language and approaches in the laws and policies of New Zealand, Australia and Chile, which uncovered important lessons for implementing EBM around the need to accept regulatory fragmentation, provide effective resourcing, respect and give effect to Indigenous rights, and avoid conflating EBM with conventional approaches to marine spatial planning. We suggest a new way of thinking about EBM as a ‘relational’ process; requiring laws, policies and institutions to support its dynamic process of dialogue, negotiation and adjustment. We argue that relational EBM can be best supported by a combination of detailed rule and institution-making (hooks) and high- level norm-setting (anchors). With its focus on relationships within and between humans and nature, relational EBM may enable new ways to secure cross-government collaboration and community buy-in, as well as having inbuilt adaptability to the dynamics of the marine environment and the impact of climate change at different scales.


2020 ◽  
Author(s):  
Adrienn Horváth ◽  
Zsolt Bene ◽  
Borbála Gálos ◽  
András Bidló

<p>Organic matter, the most complex and heterogeneous component of soil. SOM is a very relevant indicator for soil quality, as it can change the behavior and direction of many properties, soil functions, transformation processes. Less water reduces the amount of biomass produced, resulting in lower production and less plant residue in the soil. Under drier conditions, organic matter decomposes faster due to dominant aerobic processes, thereby reducing soil organic matter content. As the temperature rises, the rate of degradation processes and the intensity of soil respiration increases, which may further increase the reduction of soil carbon stock. Our forests are under high pressure due to climate change, especially in the Carpathian Basin. Therefore, beech and sessile oak are expected to replace with Turkey oak and the afforestation may lead to a change in carbon storage of forests.</p><p>To create a database and estimate the changes, we measured the carbon stock of soil in three different regions in Hungary, where the research sites formed on loess bedrock, on 150 and 250 m a.s.l., 650-710 mm precipitation sum with 10-10.4 °C annual temperature.</p><p>We took a 1.1 m soil column with soil borer and divided it into 11 samples in each column. Physical (texture, bulk density, water holding capacity) and chemical (pH, CaCO<sub>3</sub>) soil properties and SOM were determined based on the methods of the Hungarian Standard in the soil laboratory.</p><p>During the evaluation, the amount of SOC was the highest in the topsoil layers. In summary, we found a larger amount (104 C t/ha) of SOC in the soil of stands, where sessile oak were the main stand-forming tree species. The amount of carbon was lower where turkey oak was dominant in sessile oak stands (70 C t/ha on average).</p><p>To conclude, the SOC order in case of the stand-forming tree species: sessile oak (/hornbeam) > beech > Turkey oak. We detected that different forest utilization and tree species have an effect on the forest carbon as the litter as well (amount, composition). Our measurements are not representative of the whole stand, but the homogenous loess bedrock demonstrates the impact of different mixture forests on carbon stock. After all, vegetation depends on site conditions (e.g. moisture) and not vice versa. The effects of future climatic changes on soil carbon storage are difficult to predict. In the future, it would be important to expand the use of continuous forest cover farming modes.</p>


2012 ◽  
Vol 9 (6) ◽  
pp. 7601-7659 ◽  
Author(s):  
P. D. Falloon ◽  
R. Dankers ◽  
R. A. Betts ◽  
C. D. Jones ◽  
B. B. B. Booth ◽  
...  

Abstract. The aim of our study was to use the coupled climate-carbon cycle model HadCM3C to quantify climate impact of ecosystem changes over recent decades and under future scenarios, due to changes in both atmospheric CO2 and surface albedo. We use two future scenarios – the IPCC SRES A1B scenario, and a climate stabilisation scenario (2C20), allowing us to assess the impact of climate mitigation on results. We performed a pair of simulations under each scenario – one in which vegetation was fixed at the initial state and one in which vegetation changes dynamically in response to climate change, as determined by the interactive vegetation model within HadCM3C. In our simulations with interactive vegetation, relatively small changes in global vegetation coverage were found, mainly dominated by increases in scrub and needleleaf trees at high latitudes and losses of broadleaf trees and grasses across the Amazon. Globally this led to a loss of terrestrial carbon, mainly from the soil. Global changes in carbon storage were related to the regional losses from the Amazon and gains at high latitude. Regional differences in carbon storage between the two scenarios were largely driven by the balance between warming-enhanced decomposition and altered vegetation growth. Globally, interactive vegetation reduced albedo acting to enhance albedo changes due to climate change. This was mainly related to the darker land surface over high latitudes (due to vegetation expansion, particularly during winter and spring); small increases in albedo occurred over the Amazon. As a result, there was a relatively small impact of vegetation change on most global annual mean climate variables, which was generally greater under A1B than 2C20, with markedly stronger local-to-regional and seasonal impacts. Globally, vegetation change amplified future annual temperature increases by 0.24 and 0.15 K (under A1B and 2C20, respectively) and increased global precipitation, with reductions in precipitation over the Amazon and increases over high latitudes. In general, changes were stronger over land – for example, global temperature changes due to interactive vegetation of 0.43 and 0.28 K under A1B and 2C20, respectively. Regionally, the warming influence of future vegetation change in our simulations was driven by the balance between driving factors. For instance, reduced tree cover over the Amazon reduced evaporation (particularly during summer), outweighing the cooling influence of any small albedo changes. In contrast, at high latitudes the warming impact of reduced albedo (particularly during winter and spring) due to increased vegetation cover appears to have offset any cooling due to small evaporation increases. Climate mitigation generally reduced the impact of vegetation change on future global and regional climate in our simulations. Our study therefore suggests that there is a need to consider both biogeochemical and biophysical effects in climate adaptation and mitigation decision making.


2021 ◽  
Vol 20 (2) ◽  
pp. 159-170
Author(s):  
Suyadi Suyadi ◽  
Venny Handayani ◽  
Agustina Fina ◽  
Wira Sudirja

The impacts of pollution and climate change occurred in global and local communities, including at school environment. Uncomfortable school environment due to pollution and school damage due to sea-level rise interferes with learning processes and reduces students' academic performance. A new approach of a school greening programme called Bunkers of Oxygen and Carbon (BOCs) was developed in a public school (SMA Negeri 3 Merauke) in Merauke, Papua using a thematic approach to mitigate pollution and climate change. The research showed that carbon storage of BOCs is mean 74 Mg ha-1 . This is equal with carbon dioxide equivalent (CO2e) of mean 271 Mg CO2e ha-1. The capacity of BOCs as carbon storage can be optimized due to the age of vegetation in BOCs is only four years old, and below ground carbon stock was measured only up to 50 cm depth. The amount of carbon stock in BOCs was influenced by vegetation health (tree density and canopy coverage) and vegetation structure (tree diameter and height) in the BOCs (r2 = 0.56, p = 0.001). The mean economic value of carbon stocks in the BOCs was US $ 189 billion ha-1. This economic value may underestimate as many benefits and functions of the BOCs were excluded from the calculation. BOCs have ecological functions as a habitat for many wildlife species, various ecosystem services, recreational areas, aesthetic values, oxygen supply, and a place to improve creativity and as natural laboratories for practice and learning from nature. Therefore, the development of BOCs in the school environment across Indonesia is important as the functions and benefits are crucial to mitigate pollution and climate change, improve the learning process and the quality of national education. 


2020 ◽  
Author(s):  
Thomas Smallman ◽  
David Milodowski ◽  
Mathew Williams

<p>Forest play a major role in the global carbon cycle storing large amounts of carbon in both living and dead organic matter. Forests can be either a sink or source of carbon depending on the net of far larger fluxes of carbon into (photosynthesis) and out of (mortality, decomposition and disturbance) forest ecosystems. Due to the potential for substantial accumulation of carbon in forests, has led to nationally determined commitments (NDCs) by Governments across the world to protect existing and plant large areas of new forest. However, significant uncertainty remains in our understanding of current forest carbon cycling, especially mortality and decomposition processes, and how carbon cycling will change under climate change. These uncertainties present two connected challenges to effective forest protection and new planting; (i) which existing forests are under the greatest risk to climate change and (ii) where are the most climate safe locations for new forest planting to maximise carbon accumulation.</p><p>Here we combine a terrestrial ecosystem model of intermediate complexity (DALEC) with Earth observation (e.g. leaf area, biomass, disturbance) and databased information (soil texture and carbon stocks) within a Bayesian model-data fusion framework (CARDAMOM) to retrieve location specific carbon cycle analyse (i.e. parameter retrievals) across Brazil at 0.5 x 0.5 degree spatial resolution between 2001 and 2015. CARDAMOM allows us to retrieve, independently for each location analysed, an ensemble of parameters for DALEC which are consistent with the location specific observational constraints and their uncertainties. These ensembles give us multiple potential, but observation consistent, realisations of forest carbon cycling and ecosystem traits. We directly quantify our uncertainty in forest carbon cycling and ecosystem traits from these ensembles. The DALEC parameterisations are then simulated into the future under a range of climate scenarios from the CMIP6 model dataset. From these simulations we will, with defined uncertainty, quantify the impact on forest carbon accumulation of existing forest and the potential accumulation of new planting. This information can feed into national planning identifying locations which have the greatest confidence of being a net sink of carbon under climate change highlighting forest areas which are most important to protect and suitable for new planting.</p>


Author(s):  
Kimberly Zeuli ◽  
Austin Nijhuis ◽  
Ronald Macfarlane ◽  
Taryn Ridsdale

As part of its Climate Change and Health Strategy, in 2017, Toronto Public Health engaged stakeholders from across the food system to complete a high-level vulnerability assessment of the impact of climate change on the food system in Toronto. Using the Ontario Climate Change and Health Vulnerability and Adaptation Assessment Guidelines, the City of Toronto’s High-Level Risk Assessment Tool, and a strategic framework developed by the Initiative for a Competitive Inner City, Toronto Public Health identified the most significant extreme weather event risks to food processing, distribution and access in Toronto. Risks associated with three extreme weather events that are the most likely to occur in Toronto due to climate change were analyzed: significant rain and flooding, an extended heat wave, and a major winter ice storm. The analysis finds that while extreme weather events could potentially disrupt Toronto’s food supply, the current risk of an extended, widespread food supply disruption is relatively low. However, the findings highlight that a concerted effort across the food system, including electrical and fuel providers, is needed to address other key vulnerabilities that could impact food access, especially for vulnerable populations. Interruptions to electricity will have food access and food safety impacts, while interruptions to the transportation network and fuel will have food distribution and access impacts. Actions to mitigate these risks could include addressing food access vulnerabilities through ongoing city-wide strategies and integrating food access into the City’s emergency response planning. The next steps will include engaging with multiple partners across the city to understand and strengthen the “last mile” of food distribution and develop community food resilience action plans for vulnerable neighbourhoods.


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