Multi-dimensional temperature sensitivity of protected tropical mountain rain forests

IF 2.7 3区 农林科学 Q2 ECOLOGY Frontiers in Forests and Global Change Pub Date : 2024-01-09 DOI:10.3389/ffgc.2023.1214911
B. Finegan, Diego Delgado, Alba Lorena Hernández Gordillo, Nelson Zamora Villalobos, Rafael Núñez Florez, Fabio Díaz Santos, Sergio José Vílchez Mendoza
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Abstract

Tropical mountain rain forests (TMRF, natural forests at > 300 m asl) are globally important for biodiversity and ecosystem services and are believed to be highly vulnerable to climate change. But there are no specific approaches for rigorous assessment of their vulnerability at the landscape and local scales necessary for management for adaptation. We address the challenge of evaluating the ecological sensitivity to temperature of TMRF, applying a multidimensional approach in protected areas over a 440–2,950 m asl altitudinal gradient in Costa Rica, synthesizing results of a long-term research programme (2012-present). We evaluate the sensitivity to the current spatial temperature gradient of eleven ecosystem properties in three categories: forest composition and diversity, thermal characteristics of forest stands and forest structure and dynamics.Data are from 29 to 32 plots of 50 m x 50 m (0.25 ha) distributed over the gradient, in which all trees, palms and tree ferns ≥ 10 dbh are identified to species and measured for recruitment, growth and mortality. An experimental study of leaf litter decomposition rates was carried out in twelve plots. Current and future (SSP 585, 2070) values of mean annual temperatures MAT were obtained from online climate surfaces. Thermal characteristics of forest stands were determined using MATs of species occurrences in GBIF and include a new index, the Community Thermal Capital Index (CTCI), calculated as CTI-MAT.We classified degrees of sensitivity to temperature as very weak, weak, moderate or substantial. All eleven ecosystem properties are substantially sensitive, so changes in their values are expected under rising temperatures. Species density, the community temperature index CTI, tree recruitment and mortality rates and leaf litter decomposition rates are positively related to temperature, while the community weighted mean thermal niche breadth, the CTCI, net basal area increments, stand basal area and carbon in aboveground biomass are negatively related. Results point to zones of vulnerability in the protected areas.In montane forests, positive values of the CTCI–climate credit– robust basal area growth and very low mortality and leaf litter decomposition rates suggest healthy ecosystems and no risk of mountaintop extinction. Lowland forests may be vulnerable to degradation and biotic attrition, showing current basal area loss, high mortality and climate debts. National and local actors are participating in a process of adoption of the sensitivity analysis and recommendations regarding zones of vulnerability.
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受保护热带高山雨林的多维温度敏感性
热带山地雨林(TMRF,海拔 300 米以上的天然林)对生物多样性和生态系统服务具有全球重要意义,而且据信极易受到气候变化的影响。但目前还没有具体的方法来严格评估其在景观和地方尺度上的脆弱性,而这正是进行适应性管理所必需的。我们综合长期研究计划(2012 年至今)的成果,在哥斯达黎加海拔 440-2,950 米梯度的保护区内采用多维方法,评估了沼泽地带森林对温度的生态敏感性。数据来自分布在梯度上的 29 到 32 个 50 米 x 50 米(0.25 公顷)的地块,其中所有树种、棕榈树和树干≥ 10 dbh 的蕨类植物都被识别出来,并对其新陈代谢、生长和死亡率进行了测量。在十二个地块中对落叶分解率进行了实验研究。目前和未来(SSP 585、2070)的年平均气温 MAT 值均来自在线气候表面。利用 GBIF 中物种出现的 MAT 值确定了林分的热特征,其中包括一个新指数--群落热资本指数(CTCI),计算结果为 CTI-MAT。所有 11 项生态系统属性都非常敏感,因此在温度升高的情况下,这些属性的值预计会发生变化。物种密度、群落温度指数 CTI、树木更新率和死亡率以及落叶分解率与温度呈正相关,而群落加权平均热生态位广度、群落温度指数 CTCI、净基底面积增量、林分基底面积和地上生物量中的碳含量则呈负相关。在山地森林中,CTCI-气候信用-稳健的基部面积增长、极低的死亡率和落叶分解率的正值表明生态系统健康,没有山顶灭绝的风险。低地森林可能容易受到退化和生物损耗的影响,目前基部面积减少,死亡率高,气候欠账多。国家和地方行动者正在参与采用敏感性分析和有关脆弱区建议的进程。
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来源期刊
CiteScore
4.50
自引率
6.20%
发文量
256
审稿时长
12 weeks
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