Assessment of species migration patterns in forest ecosystems of Tamil Nadu, India, under changing climate scenarios

IF 2.8 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Ramachandran A., Mithilasri Manickavasagam, Hariharan S., Mathan M., Ahamed Ibrahim S.N., Divya Subash Kumar, Kurian Joseph
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Abstract

Climate change is increasingly recognized as a critical factor driving shifts in the distribution of dominant tree species within various forest ecosystems, including evergreen, deciduous, and thorn forests. These shifts pose significant threats to biodiversity and the essential ecosystem services that forests provide. In Tamil Nadu, India, where forest ecosystems are integral to both ecological balance and local livelihoods, there is an urgent need to predict potential changes in species distributions under future climate scenarios to inform effective conservation strategies. This study addresses this need by utilizing the MaxEnt species distribution model to assess the habitat suitability of dominant tree species in these forest types. The analysis spans current conditions (baseline period 1985–2014) and future projections (2021–2050) under the SSP2-4.5 emissions scenario, leveraging bioclimatic variables at a 1 km resolution. Key climatic factors such as annual mean temperature, precipitation of the driest month, and precipitation seasonality were identified as major drivers of habitat suitability, particularly in the Eastern and Western Ghats of Tamil Nadu. Model projections suggest a potential decrease in suitable habitat area by 32% for evergreen species and 18% for deciduous species, whereas thorn forest species might experience a 71% increase in suitable area. These findings underscore the critical need for targeted conservation actions to mitigate anticipated habitat losses and bolster the resilience of these vital forest ecosystems in the face of ongoing climate change.

Abstract Image

评估不断变化的气候情景下印度泰米尔纳德邦森林生态系统的物种迁移模式
人们日益认识到,气候变化是导致常绿林、落叶林和荆棘林等各种森林生态系统中优势树种分布发生变化的关键因素。这些变化对生物多样性和森林提供的基本生态系统服务构成了重大威胁。在印度泰米尔纳德邦,森林生态系统是生态平衡和当地生计不可或缺的组成部分,因此迫切需要预测未来气候情景下物种分布的潜在变化,以便为有效的保护策略提供依据。为了满足这一需求,本研究利用 MaxEnt 物种分布模型来评估这些森林类型中主要树种的栖息地适宜性。在 SSP2-4.5 排放情景下,利用 1 千米分辨率的生物气候变量,分析跨越了当前条件(1985-2014 年基线期)和未来预测(2021-2050 年)。年平均气温、最干旱月份降水量和降水季节性等关键气候因素被确定为栖息地适宜性的主要驱动因素,尤其是在泰米尔纳德邦的东高止山脉和西高止山脉。模型预测表明,常绿物种的适宜栖息地面积可能会减少 32%,落叶物种可能会减少 18%,而荆棘林物种的适宜栖息地面积可能会增加 71%。这些研究结果突出表明,面对持续的气候变化,亟需采取有针对性的保护行动,以减轻预期的栖息地损失,增强这些重要森林生态系统的恢复能力。
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来源期刊
Theoretical and Applied Climatology
Theoretical and Applied Climatology 地学-气象与大气科学
CiteScore
6.00
自引率
11.80%
发文量
376
审稿时长
4.3 months
期刊介绍: Theoretical and Applied Climatology covers the following topics: - climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere - effects of anthropogenic and natural aerosols or gaseous trace constituents - hardware and software elements of meteorological measurements, including techniques of remote sensing
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