Interactions matter—complexity in landscapes and ecosystems

Green, David G.; Sadedin, Suzanne

doi:10.1016/j.ecocom.2004.11.006

Cited by 117 publications

(75 citation statements)

References 98 publications

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“…Unfortunately, even on A. Abadie et al Ecological Indicators 87 (2018) 1-13 obtaining such data, the information acquired using the available methods may not reflect the true situation due to the complexity of species-rich ecosystems such as P. oceanica seascapes (Duffy et al, 2007;Green and Sadedin, 2005). Such an obstacle can be overcome by using new approaches to data management and treatment based on meta-analysis of available data, which help answer a specific question.…”

Section: Data Acquisition and Treatmentmentioning

confidence: 99%

Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management

Abadie

Pace

Gobert

et al. 2018

Ecological Indicators

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A B S T R A C TSeagrass meadows constitute marine habitats in shallow water temperate and tropical coastal areas worldwide that have a high ecological and economic importance. Amongst the 60 or so seagrass species, the endemic Mediterranean species Posidonia oceanica forms meadows that are arguably the most important shallow water coastal habitat in the region but which are subjected to high anthropogenic pressures. Because of the relatively large size of the plant, the meadows formed by this seagrass have high architectural and morphological complexity, which results in different morphotypes or seascapes. While numerous studies of P. oceanica architectural characteristics for continuous meadows of the seagrass are available, few works have addressed seascape ecological features and the influence of environmental factors (natural and anthropogenic) thereon. In the present review, we give an overview of P. oceanica meadow architectural and morphological characteristics and how these contribute to Mediterranean landscapes and seascapes. Studies addressing the influence of natural and anthropogenic factors on morphometric features of different meadow types and landscape ecological characteristics of P. oceanica habitat are also reviewed, as well as their influence on ecosystem processes. Finally, by considering the available data and tools for seascape studies, we present a discussion on methods to assess seagrass seascapes within the framework of coastal management. Our review highlights several gaps in P. oceanica seascape ecology knowledge such as the lack of data on the spatial distribution of this engineer species, and the possibility to use modern techniques and procedures for analysing structural and ecosystemic data.

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Section: Data Acquisition and Treatmentmentioning

confidence: 99%

Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management

Abadie

Pace

Gobert

et al. 2018

Ecological Indicators

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“…The additive partitioning of species diversity is a way to quantify the components of diversity among scales and measure the contribution of local communities to regional diversity (Lande, 1996;Wagner et al, 2000;Crist et al, 2003;Gering et al, 2003;Freestone and Inouye, 2006). The partitioning of plant species diversity across landscapes and regions has been investigated in agricultural landscapes (Wagner, 2003;Gabriel et al, 2006) and serpentine outcrops (Davies et al, 2005;Freestone and Inouye, 2006), but limited attention has been paid to the role of self-organizing capacity as a mechanism underlying the spatial structure of communities (Alados et al, 2005;Green and Sadedin, 2005;Seabloom et al, 2005;Barbier et al, 2006). Spatial self-organization is the ability of a non-equilibrium system to develop structure and pattern in the absence of control by external agents (Nicolis, 1989).…”

Section: Introductionmentioning

confidence: 99%

Do vegetation patch spatial patterns disrupt the spatial organization of plant species?

Alados¹,

Navarro

Komac³

et al. 2009

Ecological Complexity

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Keywords: Beta diversity Detrended Fluctuation Analyses Fractals Fragmentation Spatial patternsThe mechanisms that structure plant diversity and generate long-range correlated spatial patterns have important implications for the conservation of fragmented landscapes. The ability to disperse and persist influences a plant species' capacity for spatial organization, which can play a critical role in structuring plant diversity in metacommunities. This study examined the spatial patterns of species diversity within a network of patches in Cabo de Gata Natural Park, southeastern Spain. The objectives were to understand how the spatial heterogeneity of species composition (beta diversity) varies in a structured landscape, and how the long-range spatial autocorrelation of plant species is affected by the spatial configuration of patches.The mechanisms underlying the spatial distribution of plants acted at two scales. Between patches, spatial variation in species distributions was greater than that expected based on spatial randomization, which indicated that movement among patches was restricted. Within patches, diffusion processes reduced spatial variability in species distributions, and the effect was more prominent in large patches. Small patch size negatively influenced the long-range spatial autocorrelation of characteristic species, whereas interpatch distance had a stronger effect on species frequency than it had on the disruption of spatial organized patterns.The long-range spatial autocorrelation was evaluated based on the dispersal abilities of the species. Among the 106 species evaluated, 39% of the woody species, 17% of the forbs, and 12% of the grasses exhibited disrupted long-range spatial autocorrelation where patches were small. The species that are more vulnerable to the effects of fragmentation tended to be those that have restricted dispersal, such as those that have short-range dispersal (atelechoric), e.g., Phlomis purpurea, Cistus albidus, Teucrium pseudochamciepytis, Brachypodium retusum, and the ballistic species, Genista spartioides. Helicmthemum almeriense is another vulnerable species that has actively restricted dispersal (antitelechory), which is common in arid regions. Wind dispersers such as Launaea \anifera were less vulnerable to the effects of fragmentation. Long-distance dispersers whose persistence depends on facilitative interactions with other individuals, e.g., allogamous species such as Thymus hyemalis, Ballota hirsuta, and Anthyllis cytisoides, exhibit disrupted long-range spatial autocorrelation when patch size is reduced.

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“…In addition, it allows spatial diversity and the creation of niches [8] where only some services can be found. That is, food webs can be clustered around keystone species [9,4], which at the same time comply with the view of business ecosystem [1].…”

Section: Dynamic Agent-based Ecosystem Model (Daem)mentioning

confidence: 99%

“…Interactions are important because they are an essential factor of ecosystems [4] and to develop adaptive behaviours [5]. In DAEM, interactions consist of offering services, evaluating them, and reporting on relative evaluations.…”

Section: Dynamic Agent-based Ecosystem Model (Daem)mentioning

confidence: 99%

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Engineering Business Ecosystems Using Environment-Mediated Interactions

Marín

Stalker

Mehandjiev

Engineering Environment-Mediated Multi-Agent Systems

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The increasingly complex and dynamic nature of contemporary markets demands that a business engages in an ongoing dialogue with all aspects of its environment, including other businesses. Whilst the concept of a "business ecosystem" captures the essence of such an environment, the lack of both a convincing model and a proper architecture has resulted in software which only partially leverages the potential of the metaphor. In this paper, we present a conceptual architecture for an environment-mediated business ecosystem: Dynamic Agent-based Ecosystem Model (DAEM), a novel and promising approach to model business ecosystems, especially, those in which the environment plays an identifiable mediating role.

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Interactions matter—complexity in landscapes and ecosystems

Cited by 117 publications

References 98 publications

Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management

Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management

Do vegetation patch spatial patterns disrupt the spatial organization of plant species?

Engineering Business Ecosystems Using Environment-Mediated Interactions

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