Setting the priorities straight - Species distribution models assist to prioritize conservation targets for the mangroves

Banerjee, Achyut Kumar; Feng, Hui; Lin, Yu‐Ting; Liang, Xinru; Wang, Jiakai; Huang, Yelin

doi:10.1016/j.scitotenv.2021.150937

Cited by 28 publications

(15 citation statements)

References 68 publications

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“…The human disturbance was also found influencing variables for mangrove habitat suitability assessment. The finding is in tune with Banerjee et al 1 , Hu et al 4 , 51 and Srivastava et al 93 .…”

Section: Discussionsupporting

confidence: 88%

“…All these variables are directly associated with the growth and distribution of mangrove species in Sundarban (Appendix 1 ). Soil is considered an influencing parameter along with climate for the distribution of flora at spatial scales 1 , 79 . However, few studies have considered soil variables in modeling mangrove distribution 52 .…”

Section: Methodsmentioning

confidence: 99%

“…Such an approach may not always provide a complete picture of the habitat distribution due to physiographic differences, species-specific responses to the climate and environmental conditions. To overcome this problem, Banerjee et al 1 assessed mangrove habitat suitability for seven true mangroves species over the Indo-West Pacific region using an ensemble of eight different machine learning models. However, the wide resolution being 2.5 arc minutes resolution was the major limitation of this study.…”

Section: Introductionmentioning

confidence: 99%

“…The model proves to be useful for assessing site suitability for restoring mangroves. The other geographical regions interested in assessing habitat suitability and prioritizing the restoration of mangroves may find the methodology adopted in this study effective.Mangrove forests play a significant role in maintaining the health of the coastal ecosystems globally and support life for birds, flora, and fauna [1][2][3][4] . Healthy mangrove forests protect the coastal ecosystem against natural hazards and are a great source of carbon sequestration than any other type of forest 5,6 .…”

mentioning

confidence: 99%

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Assessment of suitable habitat of mangrove species for prioritizing restoration in coastal ecosystem of Sundarban Biosphere Reserve, India

Sahana

Areendran

Sajjad

2022

Sci Rep

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Mangrove forests being the abode of diverse fauna and flora are vital for healthy coastal ecosystems. These forests act as a carbon sequester and protection shield against floods, storms, and cyclones. The mangroves of the Sundarban Biosphere Reserve (SBR), being one of the most dynamic and productive ecosystems in the world are in constant degradation. Hence, habitat suitability assessment of mangrove species is of paramount significance for its restoration and ecological benefits. The study aims to assess and prioritize restoration targets for 18 true mangrove species using 10 machine-learning algorithm-based habitat suitability models in the SBR. We identified the degraded mangrove areas between 1975 and 2020 by using Landsat images and field verification. The reserve was divided into 5609 grids using 1 km gird size for understanding the nature of mangrove degradation and collection of species occurrence data. A total of 36 parameters covering physical, environmental, soil, water, bio-climatic and disturbance aspects were chosen for habitat suitability assessment. Niche overlay function and grid-based habitat suitability classes were used to identify the species-based restoration prioritize grids. Habitat suitability analysis revealed that nearly half of the grids are highly suitable for mangrove habitat in the Reserve. Restoration within highly suitable mangrove grids could be achieved in the areas covered with less than 75 percent mangroves and lesser anthropogenic disturbance. The study calls for devising effective management strategies for monitoring and conserving the degraded mangrove cover. Monitoring and effective management strategies can help in maintaining and conserving the degraded mangrove cover. The model proves to be useful for assessing site suitability for restoring mangroves. The other geographical regions interested in assessing habitat suitability and prioritizing the restoration of mangroves may find the methodology adopted in this study effective.

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Section: Discussionsupporting

confidence: 88%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Assessment of suitable habitat of mangrove species for prioritizing restoration in coastal ecosystem of Sundarban Biosphere Reserve, India

Sahana

Areendran

Sajjad

2022

Sci Rep

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“…Species distribution models (SDMs) are used to study species distributions that integrate specific species with ecological niche factors; they are currently widely used in autecology and biogeography [ 28 , 29 ]. The MaxEnt (Maximum Entropy Model) has become the most applied species distribution model owing to its advantage of using only existing occurrence records and its high performance with small samples [ 30 , 31 , 32 , 33 ]; moreover, it has gained popularity in studies on the PGDs of IAPs in recent years.…”

Section: Introductionmentioning

confidence: 99%

Increased Invasion Risk of Tagetes minuta L. in China under Climate Change: A Study of the Potential Geographical Distributions

Xian

Hong-yan

et al. 2022

Plants

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Tagetes minuta L., a member of the Tageftes genus belonging to the Asteraceae family, is a well-documented exotic plant native to South America that has become established in China. In this study, 784 occurrence records and 12 environmental variables were used to predict the potential geographical distributions (PGDs) of T. minuta under current and future climatic changes using an optimized MaxEnt model. The results showed that (1) three out of the twelve variables contributed the most to the model performance: isothermality (bio3), precipitation in the driest quarter (bio17), and precipitation in the warmest quarter (bio18); (2) the PGDs of T. minuta under the current climate covered 62.06 × 104 km2, mainly in North, South, and Southwest China; and (3) climate changes will facilitate the expansion of the PGDs of T. minuta under three shared socioeconomic pathways (SSP 1-2.6, SSP2-4.5, and SSP5-8.5) in both the 2030s and 2050s. The centroid of suitable habitats under SSP2-4.5 moved the longest distance. T. minuta has the capacity to expand in China, especially in Yunnan, where there exist no occurrence records. Customs, ports, and adjacent regions should strengthen the quarantine of imported goods and mobile personnel for T. minuta, and introduced seedlings should be isolated to minimize their introduction risk.

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Integration of community ecology and habitat suitability modelling for restoration and conservation of two endemic tree species from the Western Ghats, India

Babu,

Jetty,

Ayushi

et al. 2024

Trees

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Setting the priorities straight - Species distribution models assist to prioritize conservation targets for the mangroves

Cited by 28 publications

References 68 publications

Assessment of suitable habitat of mangrove species for prioritizing restoration in coastal ecosystem of Sundarban Biosphere Reserve, India

Assessment of suitable habitat of mangrove species for prioritizing restoration in coastal ecosystem of Sundarban Biosphere Reserve, India

Increased Invasion Risk of Tagetes minuta L. in China under Climate Change: A Study of the Potential Geographical Distributions

Integration of community ecology and habitat suitability modelling for restoration and conservation of two endemic tree species from the Western Ghats, India

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