Ecosystem engineer unleashed: Prosopis juliflora threatening ecosystem services?

Ayanu, Yohannes; Jentsch, Anke; Müller‐Mahn, Detlef; Rettberg, Simone; Romankiewicz, Clemens; Koellner, Thomas

doi:10.1007/s10113-014-0616-x

Cited by 78 publications

(90 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies (e.g., Richardson et al 2000;Hawkes et al 2006;Rodríguez-Echeverría et al 2009;Oehl et al 2010;Carneiro et al 2015;Souza et al 2016b) also showed a lower AMF diversity in disturbed soils by biological invasion of invasive exotic species (e.g., A. senegal, A. seyal, A. albida, E. albensis, Olpidium spp., Cryptostegia madagascariensis, Sesbania virgata, P. juliflora, and Parkinsonia aculeata) in comparison with soil in natural conditions. These results are in agreement with previous studies (Soumare et al 2015;Ayanu et al 2015;Zubek et al 2016;Callaway et al 2008;Tanner and Gange 2013) and support our hypothesis that invasive plants are associated with specific AMF species. As a consequence, P. juliflora seemed to be in advantage comparing with M. tenuiflora by profiting from beneficial AMF species (e.g., AMF from the order Glomerales) (Shah et al 2009).…”

Section: Discussionsupporting

confidence: 94%

Arbuscular mycorrhizal fungal community assembly in the Brazilian tropical seasonal dry forest

Souza

Freitas

2017

Ecol Process

View full text Add to dashboard Cite

Introduction: Here, we compare the arbuscular mycorrhizal fungal (AMF) community composition in soils from the root zone of the exotic invasive species Prosopis juliflora (EXO soils) and soils from the root zone of the native species Mimosa tenuiflora (NAT soils) from five locations in the Brazilian tropical seasonal dry forest, Paraíba, Brazil, using morphological analyses. Results: AMF community composition in EXO and NAT soils were dissimilar. Available phosphorus, diversity index, spore abundance, and species richness were the main factors differing between the EXO and NAT soils. In general, the most dominant order present in the soils were Glomerales (44.8%) and Gigasporales (41.4%). The most abundant AMF genus in all studied soils was Funneliformis. Conclusions: Differences in AMF community composition were associated with (1) differences in the dominant plant species (P. juliflora vs. M. tenuiflora) and (2) changes in soil chemical factors (soil, pH, total organic carbon, total nitrogen, and available P) in EXO soils. These results contribute to a deeper view of the AMF communities in exotic soils and open new perspectives for ecological processes involving AMF species and exotic plant species in the Brazilian tropical seasonal dry forest.

show abstract

Section: Discussionsupporting

confidence: 94%

Arbuscular mycorrhizal fungal community assembly in the Brazilian tropical seasonal dry forest

Souza

Freitas

2017

Ecol Process

View full text Add to dashboard Cite

show abstract

“…The results indicate that the extent the invasion is approximately 3605 km 2 in the Afar region (AUC = 0.94), while the potential habitat for future infestations is 5024 km 2 (AUC = 0.95). Ayanu et al [30] applied a combination of Landsat and ASTER data and a supervised classification approach (maximum likelihood) to assess the spreading of Prosopis over the last 30 years. In South Africa, Van den Berg et al [31] used a combination of Landsat satellite and topographic data and developed a decision tree and threshold based approach to map Prosopis.…”

Section: Initial Locationmentioning

confidence: 99%

Assessing the Potential of Sentinel-2 and Pléiades Data for the Detection of Prosopis and Vachellia spp. in Kenya

Rima

Einzmann

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

Abstract:Prosopis was introduced to Baringo, Kenya in the early 1980s for provision of fuelwood and for controlling desertification through the Fuelwood Afforestation Extension Project (FAEP). Since then, Prosopis has hybridized and spread throughout the region. Prosopis has negative ecological impacts on biodiversity and socio-economic effects on livelihoods. Vachellia tortilis, on the other hand, is the dominant indigenous tree species in Baringo and is an important natural resource, mostly preferred for wood, fodder and charcoal production. High utilization due to anthropogenic pressure is affecting the Vachellia populations, whereas the well adapted Prosopis-competing for nutrients and water-has the potential to replace the native Vachellia vegetation. It is vital that both species are mapped in detail to inform stakeholders and for designing management strategies for controlling the Prosopis invasion. For the Baringo area, few remote sensing studies have been carried out. We propose a detailed and robust object-based Random Forest (RF) classification on high spatial resolution Sentinel-2 (ten meter) and Pléiades (two meter) data to detect Prosopis and Vachellia spp. for Marigat sub-county, Baringo, Kenya. In situ reference data were collected to train a RF classifier. Classification results were validated by comparing the outputs to independent reference data of test sites from the "Woody Weeds" project and the Out-Of-Bag (OOB) confusion matrix generated in RF. Our results indicate that both datasets are suitable for object-based Prosopis and Vachellia classification. Higher accuracies were obtained by using the higher spatial resolution Pléiades data (OOB accuracy 0.83 and independent reference accuracy 0.87-0.91) compared to the Sentinel-2 data (OOB accuracy 0.79 and independent reference accuracy 0.80-0.96). We conclude that it is possible to separate Prosopis and Vachellia with good accuracy using the Random Forest classifier. Given the cost of Pléiades, the free of charge Sentinel-2 data provide a viable alternative as the increased spectral resolution compensates for the lack of spatial resolution. With global revisit times of five days from next year onwards, Sentinel-2 based classifications can probably be further improved by using temporal information in addition to the spectral signatures.

show abstract

“…Managing its use and expansion properly is increasingly challenging and bulldozers are commonly applied to clear plots in the peri-urban areas of the capital, Hargeisa. In neighbouring Ethiopia it was planted in many arid and semi-arid regions mainly for soil and water conservation purposes 6 and has become highly invasive in the 2000s as for example in the Baduu area of the Awash Basin 7,8 . In Kenya it is causing problems to natural vegetation and to pastoralists in the Turkana region, along the Tana river and in the Lake Baringo area 9 ; However, P. Juliflora is rapidly spreading also in other dryland areas.…”

Section: Introductionmentioning

confidence: 99%

Mapping areas invaded by Prosopis juliflora in Somaliland on Landsat 8 imagery

Rembold¹,

Leonardi²,

et al. 2015

SPIE Proceedings

View full text Add to dashboard Cite

Prosopis juliflora is a fast growing tree species originating from South and Central America with a high invasion potential in semi-arid areas around the globe. It was introduced to East Africa for the stabilization of dune systems and for providing fuel wood after prolonged droughts and deforestation in the 1970s and 1980s. In many dry lands in East Africa the species has expanded rapidly and has become challenging to control. The species generally starts its colonization on deep soils with high water availability while in later stages or on poorer soils, its thorny thickets expand into drier grasslands and rangelands. Abandoned or low input farmland is also highly susceptible for invasion as P. juliflora has competitive advantages to native species and is extremely drought tolerant.In this work we describe a rapid approach to detect and map P. juliflora invasion at country level for the whole of Somaliland. Field observations were used to delineate training sites for a supervised classification of Landsat 8 imagery collected during the driest period of the year (i.e., from late February to early April). The choice of such a period allowed to maximise the spectral differences between P. juliflora and other species present in the area, as P. juliflora tends to maintain a higher vigour and canopy water content than native vegetation, when exposed to water stress.The results of our classification map the current status of invasion of Prosopis in Somaliland showing where the plant is invading natural vegetation or agricultural areas. These results have been verified for two spatial subsets of the whole study area with very high resolution (VHR) imagery, proving that Landsat 8 imagery is highly adequate to map P. juliflora. The produced map represents a baseline for understanding spatial distribution of P. juliflora across Somaliland but also for change detection and monitoring of long term dynamics in support to P. juliflora management and control activities.

show abstract

Ecosystem engineer unleashed: Prosopis juliflora threatening ecosystem services?

Cited by 78 publications

References 42 publications

Arbuscular mycorrhizal fungal community assembly in the Brazilian tropical seasonal dry forest

Arbuscular mycorrhizal fungal community assembly in the Brazilian tropical seasonal dry forest

Assessing the Potential of Sentinel-2 and Pléiades Data for the Detection of Prosopis and Vachellia spp. in Kenya

Mapping areas invaded by Prosopis juliflora in Somaliland on Landsat 8 imagery

Contact Info

Product

Resources

About