Quantifying the global environmental niche of an underutilised tropical fruit tree (Tamarindus indica) using herbarium records

Bowe, Colm; Haq, N.

doi:10.1016/j.agee.2010.06.016

Cited by 21 publications

(23 citation statements)

References 50 publications

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“…However, in Sri Lanka A. muricata is categorized as an underutilized fruit tree species (Heenkenda et al, 2011). Only a limited amount of researches has been conducted on Annona species in Sri Lanka (Thantirige, 2001;Heenkenda et al, 2011), though this species in general has high potential to diversify the farming system (Bowe and Haq, 2010).…”

Section: Introductionmentioning

confidence: 99%

Morphological characterization of Soursop (Annona muricata L.) germplasm in Sri Lanka

Padmini¹,

Pushpakumara

Samarasekera

2015

Trop. Agric. Res.

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Section: Introductionmentioning

confidence: 99%

Morphological characterization of Soursop (Annona muricata L.) germplasm in Sri Lanka

Padmini¹,

Pushpakumara

Samarasekera

2015

Trop. Agric. Res.

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“…In fact, Cuni-Sanchez et al (2010) stated that fundamental niche and potential distributions are convenient when the purpose of the modeling is the introduction of a species in a geographic region. Moreover, it is worth knowing the environmental requirement of a species, its potentially suitable areas, and its potential response to climate change for conservation and management purposes (Bowe and Haq, 2010). Therefore, Blach-Overgaad et al (2010) and Bowe and Haq (2010) recognized that Ecological Niche Modeling of threatened species, agroforestry species, pests, and invasive species is useful to recommend policy and decision makers on their management.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, it is worth knowing the environmental requirement of a species, its potentially suitable areas, and its potential response to climate change for conservation and management purposes (Bowe and Haq, 2010). Therefore, Blach-Overgaad et al (2010) and Bowe and Haq (2010) recognized that Ecological Niche Modeling of threatened species, agroforestry species, pests, and invasive species is useful to recommend policy and decision makers on their management. Other studies from Gbètoho et al (2017) indicated that Ecological Niche Modeling could also be used for exploring species that could be used for restoration of secondary forests.…”

Section: Discussionmentioning

confidence: 99%

How far can climate changes help to conserve and restore Garcinia kola Heckel, an extinct species in the wild in Benin (West Africa)

Djotan¹,

Aoudji²,

Codjia³

et al. 2018

Int. J. Biodivers. Conserv.

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A study was conducted to assess how well climate changes can help to conserve and restore Garcinia kola Heckel in the Protected Area Network (PAN) and in urban areas in Benin. To achieve this, occurrence data from GBIF was used and the environmental data from AfriClim was used in order to model the species' potential habitat under current and future climates. The maximum entropy modeling approach of MaxEnt was used with scenarios RCP4.5 and RCP8.5 for future predictions. Geographic information systems were used to establish the high confidence prediction areas (HCPA) for G. kola. Gap analysis was performed throughout PAN and municipalities with regard to the HCPA. Considering the climate envelop, results revealed that climate change prooved to have only positive consequences on the distribution of the species. Moreover, considering the HCPA, the percentage of municipalities that were suitable for the species is far above the percentage of PAN that was predicted as suitable (7.44% versus 0.93%). RCP4.5 and RCP8.5 indicated respectively 3.00 and 6.27% of PAN as positive climate change impact zones. As for the municipalities, it was respectively 13.60 and 17.60% of the total municipalities areas. Therefore, it is not worth relying only on PAN to conserve and restore the species, rather urban forestry and reforestation in PAN may be key actions to save this genetic resource. Further studies with regard to introduction of G. kola in urban areas and its use for reforestation are compulsory.

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“…Most herbarium and museum records were not documented by collectors with the intention of use in geographic modeling, resulting in many potential sources of spatial error (Bowe & Haq, ). Recently, there have been increasing inventories of so‐called georeferenced natural history collections available to scientists (Randin, Engler, Pearman, Vittoz, & Guisan, ).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Why georeferencing matters: Introducing a practical protocol to prepare species occurrence records for spatial analysis

Bloom

Flower

DeChaine

2017

Ecology and Evolution

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Species Distribution Models (SDMs) are widely used to understand environmental controls on species’ ranges and to forecast species range shifts in response to climatic changes. The quality of input data is crucial determinant of the model's accuracy. While museum records can be useful sources of presence data for many species, they do not always include accurate geographic coordinates. Therefore, actual locations must be verified through the process of georeferencing. We present a practical, standardized manual georeferencing method (the Spatial Analysis Georeferencing Accuracy (SAGA) protocol) to classify the spatial resolution of museum records specifically for building improved SDMs. We used the high‐elevation plant Saxifraga austromontana Wiegand (Saxifragaceae) as a case study to test the effect of using this protocol when developing an SDM. In MAXENT, we generated and compared SDMs using a comprehensive occurrence dataset that had undergone three different levels of georeferencing: (1) trained using all publicly available herbarium records of the species, minus outliers (2) trained using herbarium records claimed to be previously georeferenced, and (3) trained using herbarium records that we have manually georeferenced to a ≤ 1‐km resolution using the SAGA protocol. Model predictions of suitable habitat for S. austromontana differed greatly depending on georeferencing level. The SDMs fitted with presence locations georeferenced using SAGA outperformed all others. Differences among models were exacerbated for future distribution predictions. Under rapid climate change, accurately forecasting the response of species becomes increasingly important. Failure to georeference location data and cull inaccurate samples leads to erroneous model output, limiting the utility of spatial analyses. We present a simple, standardized georeferencing method to be adopted by curators, ecologists, and modelers to improve the geographic accuracy of museum records and SDM predictions.

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Quantifying the global environmental niche of an underutilised tropical fruit tree (Tamarindus indica) using herbarium records

Cited by 21 publications

References 50 publications

Morphological characterization of Soursop (Annona muricata L.) germplasm in Sri Lanka

Morphological characterization of Soursop (Annona muricata L.) germplasm in Sri Lanka

How far can climate changes help to conserve and restore Garcinia kola Heckel, an extinct species in the wild in Benin (West Africa)

Why georeferencing matters: Introducing a practical protocol to prepare species occurrence records for spatial analysis

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