Modeling potential hotspots of invasive Prosopis juliflora (Swartz) DC in India

Singh, Mohan; Rajasekaran, Arunachalam; Kumar, Lalit

doi:10.1016/j.ecoinf.2021.101386

Cited by 28 publications

(6 citation statements)

References 78 publications

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“…There is an urgent need to create awareness among various stakeholders since P. juliflora is not only harmful to the native biodiversity but also to livestock grazing, crop production, groundwater level, economy and human health (63,64). Without regionspecific studies on P. juliflora and management practices to arrest further spread of the species, there is ample scope for irreversible damage to the local ecosystem since future climatic conditions in India, are predicted to favour fast proliferation of this species throughout the country (65). Further detailed studies to determine the regeneration rate of P. juliflora in the study area, future probabilities of invasion and its impact on ecological health, remain essential.…”

Section: D E Fmentioning

confidence: 99%

“…It is also a global concern since 70% of forests are found within 1 km of the forest edge (18). Recent studies in India have identified 'invasive species hotspots' located in close association with PAs and farmlands, which endanger health of the native species (19,20). P. juliflora -once introduced for fencing and firewood in arid regions of India, is one of the invasive alien species to get negative feedback from farmers and pastoralists for the unmanageable invasion in functional land areas (21).…”

Section: Introductionmentioning

confidence: 99%

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Remnant vegetation in farmland - its significance in ethnobotany and local ecosystem

Dastidar¹,

Basu²,

Venkatraman³

et al. 2022

Plant Sci. Today

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This paper evaluated the structure of remnant vegetation (RV) in and around the farmlands of Kancheepuram District, Tamil Nadu of Southern India, to understand its significance in the local ecosystem. Stratified quadrats along nine randomly selected transects were used for sampling vegetation. The study recorded 2495 specimens of 96 plant species under 43 families in 1848 quadrats (88 of 10 m × 10 m, 352 of 5 m × 5 m and 1408 of 1 m × 1 m dimensions) while there was a possibility of recording more species with better sampling efforts. To know the ethnobotanical uses of plants, interviews were conducted with local villagers and people belonging to the Irula tribe, and later the data were collated with published information. Sixty -six plant species were recorded with traditional uses in food, fodder, fuel, condiment and medicine. Prosopis juliflora, an alien invasive species, was a serious threat to the native flora since higher P. juliflora abundance was associated with declining diversity of other plants. The study found that the absence of monitoring and management protocols leading to uncontrolled propagation of invasive species could cause potential damage to the region’s dry evergreen forests, which were often located near the farmlands.

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Section: D E Fmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Remnant vegetation in farmland - its significance in ethnobotany and local ecosystem

Dastidar¹,

Basu²,

Venkatraman³

et al. 2022

Plant Sci. Today

View full text Add to dashboard Cite

show abstract

“…The AUC value typically ranged from 0 to 1, and a value closer to 1 indicated higher accuracy. It can be categorized as follows: failing (0.5-0.6), poor (0.6-0.7), fair (0.7-0.8), good (0.8-0.9), and excellent (0.9-1.0) (Singh et al, 2021). TSS values varied between -1 and +1, with values closer to 1 indicating superior performance, while values closer to or below 0 suggested inferior performance.…”

Section: Modeling Processmentioning

confidence: 99%

Predicting Impacts of Climate Change on Suitable Distribution of Critically Endangered Tree Species Yulania zenii in China

Wang,

Zhi,

Zhang

2024

Preprint

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Climate change poses a serious threat to the ancient Magnoliaceae family, particularly for the endangered Yulania trees. Until now, little is known about the suitable geographical range of Yulania zenii, and about how it responds to past and future climate scenarios. Here, we first employed ten models from Biomod2 to preliminarily simulate its potential distribution in China and selected MaxEnt for final modeling. The results showed that among the key environmental factors influencing its distribution, the top three factors were Bio2 (Mean diurnal range), Bio15 (Precipitation seasonality of variation coefficient) and Elevation. Its current suitable distribution were primarily concentrated in southern Anhui, central Hubei, eastern Hunan, southern Jiangsu, northern Jiangxi, and northern Zhejiang. The total suitable area of Yulania zenii was 14.68 × 104 km2, only taking 1.53% of China's total territory, which is larger than known. During the Last Interglacial and Middle Holocene, its suitable habitats were larger than currently, exhibiting a relatively continuous distribution. Under various future climate scenarios, its suitable habitats may averagely decrease by 20.26% compared with the current, and these habitats become more fragmented. Collectively, the centroid of Yulania zenii is expected to migrate towards the southeast in the future. Therefore, our findings demonstrate, for the first time, that climate change takes an adverse effect on this species in distribution from the past to current till future. Our study can contribute to the conservation and management of Yulania zenii in China, and can provide reference for other endangered Yulania species of this country under the condition of climate change.

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“…Currently, models used to simulate potential invasive species distributions include BIOCLIM, maximum entropy modeling (MaxEnt), rule set Genetic algorithm (GARP), generalized linear models (GLM) and generalized additive models (GAM) [19]. MaxEnt is widely used because of its ability to handle continuous and categorical variables, sparsely sampled data and small positional errors, as well as its simplicity of operation and stability of statistical procedures [20,21]. Recently, some scholars have predicted S canadensis distribution and spread.…”

Section: Introductionmentioning

confidence: 99%

Prediction of suitable areas and division of key monitoring zones for Solidago canadensis in Guizhou Province, China

Zhang,

Wang,

Sun

et al. 2024

Environ. Res. Commun.

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Comprehending invasive alien species’ potential habitat area and spread trend are of great importance for effective prevention and control strategy and prevention of spread. However, previous studies have mainly been based on large regional scales (national or global level). Research on the smaller regional scale of ecologically fragile karst makes the prevention and control measures more feasible and targeted. For invasive Solidago canadensis, based on an MaxEnt model and ArcGIS, we determined its current and future potential distributions. The main drivers of S. canadensis distribution were precipitation changes and human activities. S. canadensis occurrence probability initially increased, and then decreased with increased precipitation variables, and increased rapidly initially, then gradually with increasing human footprint. Under current climate conditions, S. canadensis suitable area is 8.13×104 km2, with the highly suitable area concentrated in Guiyang, east of Bijie, Zunyi, Anshun and Duyun. Under climate conditions of the 2050s, the suitable area drops slightly to 8.00×104 km2. Under climate conditions of the 2070s, the suitable area expands to 8.31×104 km2. And move toward the south within the studyarea. Based on the modelling and space optimization software ZONATION key monitoring area covers 79,857 km2, including a primary monitoring area mainly distributed in Guiyang, east of Bijie, northeast of Anshun and northwest of Duyun, a secondary monitoring area mainly outside the primary monitoring area, and a third-level monitoring area widely distributed in Zunyi, Tongren, Duyun, west of Kaili and Anshun and east of Bijie. Linking our results with this specie’s invasive power, we thus recommended to increase the prevention and control sites in the first-level monitoring area, and continue to pay attention to the risk of the southward spread of this species.

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Modeling potential hotspots of invasive Prosopis juliflora (Swartz) DC in India

Cited by 28 publications

References 78 publications

Remnant vegetation in farmland - its significance in ethnobotany and local ecosystem

Remnant vegetation in farmland - its significance in ethnobotany and local ecosystem

Predicting Impacts of Climate Change on Suitable Distribution of Critically Endangered Tree Species Yulania zenii in China

Prediction of suitable areas and division of key monitoring zones for Solidago canadensis in Guizhou Province, China

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