ANALISIS KESESUAIAN SOSIAL-EKOLOGIS  PEMANFAATAN SUMBER DAYA PERIKANAN BERDASARKAN PRODUKTIVITAS   PRIMER DI KECAMATAN UNA-UNA  DAN KABUPATEN TOJO UNA-UNA  PROVINSI SULAWESI TENGAH

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.

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Regional-Scale High Spatial Resolution Mapping of Aboveground Net Primary Productivity (ANPP) from Field Survey and Landsat Data: A Case Study for the Country of Wales

Remote Sensing ◽

10.3390/rs9080801 ◽

2017 ◽

Vol 9 (8) ◽

pp. 801 ◽

Cited By ~ 4

Author(s):

Emma Tebbs ◽

Clare Rowland ◽

Simon Smart ◽

Lindsay Maskell ◽

Lisa Norton

Keyword(s):

Spatial Resolution ◽

Primary Productivity ◽

Net Primary Productivity ◽

Field Survey ◽

High Spatial Resolution ◽

Regional Scale ◽

Landsat Data ◽

Aboveground Net Primary Productivity ◽

Resolution Mapping

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Net Primary Productivity of Pinus massoniana Dependence on Climate, Soil and Forest Characteristics

Forests ◽

10.3390/f11040404 ◽

2020 ◽

Vol 11 (4) ◽

pp. 404 ◽

Cited By ~ 1

Author(s):

Xin Huang ◽

Chunbo Huang ◽

Mingjun Teng ◽

Zhixiang Zhou ◽

Pengcheng Wang

Keyword(s):

Geographical Distribution ◽

Soil Nutrients ◽

Primary Productivity ◽

Net Primary Productivity ◽

Southern China ◽

Regional Scale ◽

Pinus Massoniana ◽

Forest Productivity ◽

Tree Component ◽

Total Tree

Understanding the spatial variation of forest productivity and its driving factors on a large regional scale can help reveal the response mechanism of tree growth to climate change, and is an important prerequisite for efficient forest management and studying regional and global carbon cycles. Pinus massoniana Lamb. is a major planted tree species in southern China, playing an important role in the development of forestry due to its high economic and ecological benefits. Here, we establish a biomass database for P. massoniana, including stems, branches, leaves, roots, aboveground organs and total tree, by collecting the published literature, to increase our understanding of net primary productivity (NPP) geographical trends for each tree component and their influencing factors across the entire geographical distribution of the species in southern China. P. massoniana NPP ranges from 1.04 to 13.13 Mg·ha−1·year−1, with a mean value of 5.65 Mg·ha−1·year−1. The NPP of both tree components (i.e., stem, branch, leaf, root, aboveground organs, and total tree) show no clear relationships with longitude and elevation, but an inverse relationship with latitude (p < 0.01). Linear mixed-effects models (LMMs) are employed to analyze the effect of environmental factors and stand characteristics on P. massoniana NPP. LMM results reveal that the NPP of different tree components have different sensitivities to environmental and stand variables. Appropriate temperature and soil nutrients (particularly soil available phosphorus) are beneficial to biomass accumulation of this species. It is worth noting that the high temperature in July and August (HTWM) is a significant climate stressor across the species geographical distribution and is not restricted to marginal populations in the low latitude area. Temperature was a key environmental factor behind the inverse latitudinal trends of P. massoniana NPP, because it showed a higher sensitivity than other factors. In the context of climate warming and nitrogen (N) deposition, the inhibition effect caused by high temperatures and the lack or imbalance of soil nutrients, particularly soil phosphorus, should be paid more attention in the future. These findings advance our understanding about the factors influencing the productivity of each P. massoniana tree component across the full geographical distribution of the species, and are therefore valuable for forecasting climate-induced variation in forest productivity.

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Adopting a cross-scale approach for the deployment of a green infrastructure

One Ecosystem ◽

10.3897/oneeco.6.e65578 ◽

2021 ◽

Vol 6 ◽

Author(s):

Grazia Zulian ◽

Silvia Ronchi ◽

Alessandra La Notte ◽

Sara Vallecillo ◽

Joachim Maes

Keyword(s):

Population Density ◽

Green Infrastructure ◽

Elderly Population ◽

Local Level ◽

Local Population ◽

Local Scale ◽

Regional Level ◽

Lombardy Region ◽

Recreation Opportunities ◽

The Eu

The implementation of a Green Infrastructure (GI) involves several actors and governance scales that need adequate knowledge support. The multifunctionality of GI entails the implementation of a cross-scale approach, which combines assessments conducted at different levels and active stakeholder engagement. This paper provides a methodology to implement a cross-scale approach to support the deployment of a Regional GI. The methodology was tested in Lombardy Region (north-west of Italy), considering three relevant territorial scales and relative strategic and planning policies. The continental level representing the overall policy-context; the regional level, with its key role for guaranteeing landscape coherence and connectivity and the local level where planning actions are effectively designed and implemented. The EU Biodiversity Strategy for 2030 and the EU GI strategy were used as references for the continental level; at the regional level, a proposal of Regional GI was evaluated focusing on two Provinces (Varese and Lecco), three regional parks (Ticino, Adda Nord and Campo dei Fiori). At the local scale, the new development plan of the Municipality of Cassano d'Adda (Milan metropolitan area) was evaluated considering different possible scenarios. The regional GI was evaluated with respect to the capacity to provide Cultural Ecosystem Services (CES). CES were mapped using the ESTIMAP-recreation model. The model was adapted to the regional and local level with the active engagement of local stakeholders. Additionally, census data were analysed to obtain an overview of the equitable distribution of the CES amongst inhabitants. Results show that, in 78% of the census blocks of the study area, inhabitants have a high-value recreation resource within 4 km (31% within 4 km and 47% within 300 m). Unmet demand characterises 22% of the census blocks in the study area, clustered in zones with a high population density. The regional GI covers almost completely the two Provinces and the regional parks. In Varese Province: 68% of the territory is included in the regional GI, 82% of the census blocks local demand for recreation opportunities is met, but the population density is higher where the demand is unmet. The Province is characterised by a relatively old population (share of people older than 65 years 23.4%). In Lecco Province, 80% of the territory is included in the regional GI, in 96% of the blocks the local demand is met and the local population is relatively old (share of elderly population 22.12%). The three regional parks present significant differences, strongly influenced by the territorial context. The Campo dei Fiori Park is almost completely included in the regional GI. The entire local population has nature-based recreation opportunities in their close vicinity. Nevertheless, the population density is very low and citizens are relatively old. The majority of the Parco Adda Nord is included in the regional GI providing recreation opportunities to 90% of the census blocks within the Park boundaries. A total of 70% of Ticino Park is included in the regional GI, where local residents are relatively old (share of elderly population 23.78%) and 90% of local census blocks are close to nature-based opportunities. At local scale, we explored how the approach can be used to estimate changes in the CES potential provision and how this can be integrated into a site management plan. This paper demonstrated that the combination of studies in a cross-scale perspective enhances the understanding of GI multifunctionality. It provides a framework to adapt CES mapping models to the local setting with active stakeholders engagement. Moreover, it demonstrates that also highly urbanised areas, such as the Lombardy Region in Italy, can play a role in the deployment of a continental GI and can support biodiversity and nature protection.

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A global dataset of seaweed net primary productivity

10.1101/2021.07.12.452112 ◽

2021 ◽

Author(s):

Albert Pessarrodona ◽

Karen Filbee-Dexter ◽

Kira A Krumhansl ◽

Pippa J Moore ◽

Thomas Wernberg

Keyword(s):

Primary Productivity ◽

Comparative Studies ◽

Carbon Balance ◽

Net Primary Productivity ◽

Spatial Scales ◽

Local Scale ◽

Marine Macroalgae ◽

Seaweed Species ◽

Carbon Production ◽

Global Carbon

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.

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