Fine-scale habitat suitability and connectivity analysis for the core populations of Yellow-spotted mountain pond-breeding newt (Neurergus derjugini) in the west of Iran and east of Iraq
“…Changes in temperature can impact ecosystem processes by influencing canopy cover temperature, photosynthesis, water and nutrient absorption, and enzyme activity [ 66 ]. Consequently, many researchers recognize increased temperature as a trigger for habitat degradation, fragmentation, and destruction [ 54 ]. Temperature can also affect species abundance and activity patterns [ 67 , 68 ].…”
Section: Discussionmentioning
confidence: 99%
“…Several studies have been conducted on the identification of microclimatic refuges within the species’ distribution range [ 48 , 54 ]. However, these studies can be criticized from two aspects: 1.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, rooting depth can increase in these regions. Similar to upland drainages, canyons have low temperature fluctuations and provide suitable environmental conditions for the species due to their complex structural features, high humidity, and reduced susceptibility to human activities [ 54 ]. For large-seeded species like M .…”
Section: Discussionmentioning
confidence: 99%
“…Sensitivity represents the percentage of presence points correctly recognized as presence points, and feature represents the number of pseudo-absence points correctly recognized as pseudo-absence points. The ideal model has high sensitivity, specificity, and classification scores and a low misclassification score [ 54 ].…”
Temperature fluctuations and related factors are among the main causes of climate change. Understanding the temporal and spatial variations in temperature can shed light on how species respond to climate change. Plants generally persist in suitable microclimates in response to environmental change; however, examining long-term temperature variations within a species’ range can be challenging using field observations. Thermal remote sensing, on the other hand, provides multi-scale time-series data with good coverage and regularity to overcome the challenges associated with field observations in environmental monitoring. Although changes in land surface temperature (LST) affect climate, hydrological processes, land-atmosphere interactions, and ecological activities, this metric has not received much research attention. This study aimed to analyze changes in habitat suitability and microclimatic conditions for Moringa peregrina. Seasonal changes in LST within the distribution range of the species were also investigated. To this aim, mean seasonal LST was computed in Google Earth Engine using the daily MODIS/006/MYD13A2 product from 2003 to 2023. Subsequently, a binary habitat suitability map was created based on the true skill statistic (TSS). The Mann-Kendall test was used to analyze seasonal LST trends. Major trends in LST were quantified based on the z-score, and compatibility with habitat suitability was evaluated via GAP analysis and the Kappa index. Seasonal temperature trends were evaluated by comparing each season with the following season using binary comparison. Landforms at presence points were regarded as microclimates and the sensitivity of microclimates to LST was evaluated using two methods: Principal component analysis (PCA) was used to quantify seasonal LST heterogeneity and the random forest (RF) approach was used to evaluate the effect of environmental parameters on habitat suitability within microclimates. The Kappa index revealed a weak overlapping between suitable / unsuitable habitat and the surfaces affected by the trend of changes. Moreover, the suitable habitat of Moringa peregrina in spring, autumn and winter is spatially overlapped by areas that have shown an increasing LST trend, and the presence points have not experienced an increasing temperature trend only in the summer. The findings show that the analysis of seasonal trends in LST provides insights into the effect of LST on habitat suitability and the condition of vegetation. The current study clearly shows that seasonal changes have had a significant impact on the distribution and habitat suitability of M. peregrina, particularly during summer and winter. Improved habitat suitability and range expansion were observed throughout the year. The study also highlights the role of landforms in regulating temperature. Landforms such as local ridges with minimal temperature fluctuations and regions near the Oman Sea were identified as potential future habitats due to favorable humidity conditions.
“…Changes in temperature can impact ecosystem processes by influencing canopy cover temperature, photosynthesis, water and nutrient absorption, and enzyme activity [ 66 ]. Consequently, many researchers recognize increased temperature as a trigger for habitat degradation, fragmentation, and destruction [ 54 ]. Temperature can also affect species abundance and activity patterns [ 67 , 68 ].…”
Section: Discussionmentioning
confidence: 99%
“…Several studies have been conducted on the identification of microclimatic refuges within the species’ distribution range [ 48 , 54 ]. However, these studies can be criticized from two aspects: 1.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, rooting depth can increase in these regions. Similar to upland drainages, canyons have low temperature fluctuations and provide suitable environmental conditions for the species due to their complex structural features, high humidity, and reduced susceptibility to human activities [ 54 ]. For large-seeded species like M .…”
Section: Discussionmentioning
confidence: 99%
“…Sensitivity represents the percentage of presence points correctly recognized as presence points, and feature represents the number of pseudo-absence points correctly recognized as pseudo-absence points. The ideal model has high sensitivity, specificity, and classification scores and a low misclassification score [ 54 ].…”
Temperature fluctuations and related factors are among the main causes of climate change. Understanding the temporal and spatial variations in temperature can shed light on how species respond to climate change. Plants generally persist in suitable microclimates in response to environmental change; however, examining long-term temperature variations within a species’ range can be challenging using field observations. Thermal remote sensing, on the other hand, provides multi-scale time-series data with good coverage and regularity to overcome the challenges associated with field observations in environmental monitoring. Although changes in land surface temperature (LST) affect climate, hydrological processes, land-atmosphere interactions, and ecological activities, this metric has not received much research attention. This study aimed to analyze changes in habitat suitability and microclimatic conditions for Moringa peregrina. Seasonal changes in LST within the distribution range of the species were also investigated. To this aim, mean seasonal LST was computed in Google Earth Engine using the daily MODIS/006/MYD13A2 product from 2003 to 2023. Subsequently, a binary habitat suitability map was created based on the true skill statistic (TSS). The Mann-Kendall test was used to analyze seasonal LST trends. Major trends in LST were quantified based on the z-score, and compatibility with habitat suitability was evaluated via GAP analysis and the Kappa index. Seasonal temperature trends were evaluated by comparing each season with the following season using binary comparison. Landforms at presence points were regarded as microclimates and the sensitivity of microclimates to LST was evaluated using two methods: Principal component analysis (PCA) was used to quantify seasonal LST heterogeneity and the random forest (RF) approach was used to evaluate the effect of environmental parameters on habitat suitability within microclimates. The Kappa index revealed a weak overlapping between suitable / unsuitable habitat and the surfaces affected by the trend of changes. Moreover, the suitable habitat of Moringa peregrina in spring, autumn and winter is spatially overlapped by areas that have shown an increasing LST trend, and the presence points have not experienced an increasing temperature trend only in the summer. The findings show that the analysis of seasonal trends in LST provides insights into the effect of LST on habitat suitability and the condition of vegetation. The current study clearly shows that seasonal changes have had a significant impact on the distribution and habitat suitability of M. peregrina, particularly during summer and winter. Improved habitat suitability and range expansion were observed throughout the year. The study also highlights the role of landforms in regulating temperature. Landforms such as local ridges with minimal temperature fluctuations and regions near the Oman Sea were identified as potential future habitats due to favorable humidity conditions.
“…Circuit theory is a technique for locating ecological nodes and corridors [33]. The Build Network and Map Linkages component of the Linkage Mapper toolbox [34] was used, and the cost-weighted distance threshold for the truncation of ecological corridors was set at 200 m to determine the two nearby source sites' lowest-cost routes and to create a complete loop.…”
Section: Ecological Corridor Identification Based On the Circuit Theorymentioning
A key means of promoting the high-quality development of karst areas is the maintenance of the area’s ecological security. A full recognition of the special ecological function of karst areas, as well as their significance to the surrounding region’s ecological, economic, and social development, is crucial in strengthening the overall strategic deployment of the national ecological construction and the protection and sustainable development of karst landscapes around the globe. In this study, the karst landscape of Puzhehei, Qiubei County, Wenshan Prefecture, Yunnan Province, China, was used as the research object. This study identified ecological source sites through a combination of morphological spatial pattern analysis and landscape connectivity assessment. As a result, 10 factors were selected to construct a comprehensive ecological resistance surface from the natural environment and socio-economic perspective; the resistance surface was corrected by combining the sensitivity of rocky desertification. An ecological corridor and ecological nodes were identified to construct the ecological security pattern based on the minimum cumulative resistance model and circuit theory. The results show that (1) the source areas of the Puzhehei karst landscape ecological protection comprised 11 core area patches with the landscape connectivity index of (dPC) ≥ 10, with a total area of 166.6572 km2, which constituted 46.06% of the total study area, and the ecological source area totaled 77.275 km2, or 21.36% of the total study area; (2) there were 78 potential ecological corridors in the Puzhehei karst region, with a total length of 545.186 km, including 12 key corridors and 66 general corridors; (3) a total of 51 ecological nodes were identified, including 11 “source-type ecological nodes”, 30 “ecological pinch points”, and 10 “ecological obstacles”, including 16 key ecological nodes. This study provides a theoretical basis for the integration of Puzhehei Nature Reserve, as well as a reference for the ecologically sustainable development of similar karst areas.
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