Mapping the potential distribution suitability of 16 tree species under climate change in northeastern China using Maxent modelling

Liú, Dan; Lei, Xiangdong; Gao, Wenqiang; Guo, Hong; Xie, Yongdong; Fu, Liyong; Lei, Yinru; Li, Yutang; ZhuoLi, Zhang; Tang, Shouzheng

doi:10.1007/s11676-022-01459-4

Cited by 20 publications

(3 citation statements)

References 51 publications

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“…Besides, mapping single species is feasible using habitat modelling (e.g. MaxEnt) [85,86], but try to modelling multi-specific forests required detailed field information which is not available for most natural forested areas [87]. Large uncertainty was found in these studies, suggesting further endeavours are required for improving the FT maps [88].…”

Section: Discussionmentioning

confidence: 99%

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Martínez Pastur,

Loto,

Rodríguez-Souilla

et al. 2024

Preprint

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Modern forestry systems are based upon typologies of forest types (FT). Many proposals were developed in Argentina, but without following unified criteria. The objective was to compare different approaches based on (i) functional forests (phenoclusters), and (ii) forest canopy-cover composition by tree species. We employed data of National Forest Inventories, forest models and climate data, comparing the proposals using univariate analyses. We test the performance of phenoclusters to differentiate the variability of native forests (proxy: forest structure), biodiversity (proxy: indicator species) and environment (proxies: soil carbon stock, elevation, climate). We proposed a simple forest type classification methodology based on species composition, considering basal area of tree species. Finally, we compared the performance of both proposals. In regions where monospecific forests are predominant, the classifications based on forest canopy-cover composition are feasible, but phenoclusters allowing to increase the complexity at landscape level. In those regions were predominant multi-specific stands, the classifications based on forest canopy-cover composition are useless, and phenoclusters allowing to decrease the complexity at landscape level. These results allowing to harmonize national FT classifications by using criteria and indicators to achieve sustainable forest management and conservation proposals.

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Section: Discussionmentioning

confidence: 99%

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Martínez Pastur,

Loto,

Rodríguez-Souilla

et al. 2024

Preprint

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“…Species distribution models (SDMs) are widely used in conservation biology, invasion biology, and other studies involving species distribution and genetic diversity ( Alkhalifah et al., 2022 ; Yang et al., 2022 ; Liu et al., 2022a ). Currently, species distribution models are widely used, including generalized linear model (GLM), random forest model (RF), ecological niche factor analysis model (ENFA), bioclimate analysis system (BIOCLM) and maximum entropy model (MaxEnt), etc ( Pan et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Predicting potential and quality distribution of Anisodus tanguticus (Maxim.) Pascher under different climatic conditions in the Qinghai–Tibet plateau

Chen,

Wang,

et al. 2024

Front. Plant Sci.

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Anisodus tanguticus (Maxim.) Pascher, a distinctive medicinal plant native to the Qinghai-Tibet Plateau, China, has garnered attention due to increasing market demand. This study explores the impact of environmental factors on the distribution and levels of active compounds namely anisodamine, anisodine, and atropine within A. tanguticus. Our goal was to identify suitable cultivation areas for this plant. This study employs the maximum entropy model to simulate the suitable area of A. tanguticus under current conditions and three climate change scenarios during the 2050s and 2070s. The finding revealed that altitude, precipitation in the warmest season (Bio 18), the average annual temperature (Bio 1) exerted significant influences on the distribution of A. tanguticus. Among the environmental factors considered, temperature difference between day and night (Bio 2) had the most substantial impact on the distribution of anisodamine, temperature seasonal variation variance (Bio 4) predominantly influenced anisodine distribution, and Bio 1 had the greatest effected on the distribution of atropine. The suitable areas primarily exist in the eastern Qinghai-Tibet Plateau in China, encompassing a total area of 30.78 × 104 km2. Under the climate scenarios for the future, the suitable areas exhibit increasing trends of approximately 30.2%, 30.3%, and 39.8% by the 2050s, and 25.1%, 48.8%, and 60.1% by the 2070s. This research would provide theoretical suggestions for the protection, and cultivation management of A. tanguticus resources to face the challenge of global climate change.

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“…Currently, the MaxEnt model and GIS techniques are widely used in forest management decisions to select future tree species [33]. The MaxEnt model is indispensable for the sustainable development of forest resources as it can be used to analyze the suitable area of species based on their sample points and related environmental variables [34]. Studies on the suitable areas of C. reticulata are more mature, using species distribution modeling [6,23,35,36].…”

Section: Introductionmentioning

confidence: 99%

Ecological Adaptation and Sustainable Cultivation of Citrus reticulata by Applying Mixed Design Principles under Changing Climate in China

Yang,

Wang,

et al. 2024

Remote Sensing

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Climate change is heavily altering plant distributions, posing significant challenges to conventional agricultural practices and ecological balance. Meanwhile, mixed species planting emerges as a potent strategy to enhance agricultural resilience, counteract climate change, preserve ecological balance, and provide a solution to economic instability. The MaxEnt model was used to predict the suitable area of Citrus reticulata under five climate scenarios and to explore affecting environmental factors. Litchi chinensis, Punica granatum, and Lycium chinense were selected as mixed species to analyze the spatial distribution and centroid migration trend of potentially suitable areas. The research results show the following: (1) The primary environmental factors impacting C. reticulata distribution are annual precipitation (1000–4000 mm), precipitation of driest quarter over 100 mm, and mean temperature of coldest quarter (12–28 °C). Crucially, the mixed species exhibited similar environmental sensitivities, indicating mutual mixing suitability. (2) Currently, the C. reticulata suitable area is of 240.21 × 104 km2, primarily in South, East, Central, and Southwest China, with potential for expansion to 265.41 × 104 km2 under the 2090s SSP1-2.6 scenario. (3) The geometric center of the moderately-to-highly suitable areas for C. reticulata is located in Hunan Province. Future scenarios show the C. reticulata’s centroid migrating northwest, with distances of less than 110 km. Mixed planting trends toward higher latitudes, fluctuating from 6 km to 210 km. (4) Mixed planting area planning: C. reticulata and L. chinensis are suitable for mixed planting in South China. C. reticulata and P. granatum, C. reticulata and L. chinense are suitable for mixed planting in most areas of Central, East, Southwest, and South China. This research presents a new perspective on using mixed design principles for ecological adaptation and the sustainable mixed planting of C. reticulata, in response to China’s changing climate. This approach is expected to help the economic fruit tree industry enhance ecological resilience and economic stability in the face of future climate change challenges.

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Mapping the potential distribution suitability of 16 tree species under climate change in northeastern China using Maxent modelling

Cited by 20 publications

References 51 publications

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Different Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy-Cover Composition by Tree Species

Predicting potential and quality distribution of Anisodus tanguticus (Maxim.) Pascher under different climatic conditions in the Qinghai–Tibet plateau

Ecological Adaptation and Sustainable Cultivation of Citrus reticulata by Applying Mixed Design Principles under Changing Climate in China

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