Fragmented Landscapes Research Articles

Segment Anything Model Combined with Multi-Scale Segmentation for Extracting Complex Cultivated Land Parcels in High-Resolution Remote Sensing Images

Accurate cultivated land parcel data are an essential analytical unit for further agricultural monitoring, yield estimation, and precision agriculture management. However, the high degree of landscape fragmentation and the irregular shapes of cultivated land parcels, influenced by topography and human activities, limit the effectiveness of parcel extraction. The visual semantic segmentation model based on the Segment Anything Model (SAM) provides opportunities for extracting multi-form cultivated land parcels from high-resolution images; however, the performance of the SAM in extracting cultivated land parcels requires further exploration. To address the difficulty in obtaining parcel extraction that closely matches the true boundaries of complex large-area cultivated land parcels, this study used segmentation patches with cultivated land boundary information obtained from SAM unsupervised segmentation as constraints, which were then incorporated into the subsequent multi-scale segmentation. A combined method of SAM unsupervised segmentation and multi-scale segmentation was proposed, and it was evaluated in different cultivated land scenarios. In plain areas, the precision, recall, and IoU for cultivated land parcel extraction improved by 6.57%, 10.28%, and 9.82%, respectively, compared to basic SAM extraction, confirming the effectiveness of the proposed method. In comparison to basic SAM unsupervised segmentation and point-prompt SAM conditional segmentation, the SAM unsupervised segmentation combined with multi-scale segmentation achieved considerable improvements in extracting complex cultivated land parcels. This study confirms that, under zero-shot and unsupervised conditions, the SAM unsupervised segmentation combined with the multi-scale segmentation method demonstrates strong cross-region and cross-data source transferability and effectiveness for extracting complex cultivated land parcels across large areas.

Isolation limits spring pollination in a UK fragmented landscape

Animal-mediated pollination determines the reproductive success of most flowering plants; this process however can be disrupted by environmental degradation, with habitat loss and fragmentation highlighted as a top driver of pollination deficits. Despite being a pervasive stressor worldwide, we still have rather limited empirical evidence on its effects on pollination services, especially for early spring pollination syndromes. We investigate this using a potted plant phytometry experiment in which we placed English Bluebell (Hyacinthoides non-scripta)—a species largely pollinated in spring—into a fragmented woodland habitat. We selected 51 woodland patches which varied in both size and distance from each other and placed 153 pots of bluebell plants in the patches for c.4 weeks to measure pollination. The woodlands were located in a matrix of grassland, the latter being of low plant species richness and overall in the patches, woodland plants showed a positive species-area relationship. We collected traits on bluebell reproduction, these included the number, size, quality of seeds, the number of seed capsules and the number of flowers that failed to set any seeds. We found that seed traits responded differently to patch area and isolation. Patch isolation negatively affected the number of seeds and capsules, whilst it did not affect the size and quality of seeds. Patch area had no effect on any traits, suggesting that patch area might not necessarily be a factor that affects pollination in this species. The number of flowers that failed to set seed was unaffected by either patch area or isolation. Our study suggests that woodland fragmentation impacts the pollination of understory spring flowering plants. Our results highlight the use of multiple traits of phytometer plants to evaluate pollination and the importance of connectivity in maintaining pollination services in small-fragmented landscapes.

Landscape structures and stand attributes jointly regulate forest productivity

Forest productivity is a crucial integrator of ecosystem functions and services. Although the effects of landscape structure on species richness and stand structure have been extensively studied, how landscape structures affect forest productivity and their interactions with stand‐level attributes, especially in the context of considerable land use change, remain unclear. In this study, we investigated the effects of landscape structures (fragmentation, complexity, and heterogeneity) and their interactions with stand‐level attributes on forest productivity in the conterminous United States across three spatial scales (1–3 km), using an extensive forest inventory dataset from the national forest inventories (NFI) plots. Our results revealed that all landscape indices around selected forest plots significantly increased from 2006 to 2016. Across three scales, forest productivity and stand‐level attributes (number of trees, tree species richness, and structural diversity) exhibited unimodal relationships with landscape fragmentation and complexity, while generally showed positive correlations with landscape heterogeneity. The interactions between landscape structures and stand attributes enhanced the explanatory power of forest productivity. Landscape complexity directly or indirectly reduced forest productivity by decreasing the number of trees and tree species richness, whereas landscape fragmentation and heterogeneity had the opposite effects. Furthermore, landscape heterogeneity and stand age had relatively stronger total effects (the sum of direct and indirect effects) on forest productivity, and their strength increased modestly with spatial scales. However, tree species richness consistently had the lowest total effects. Our study elucidates the complex driving mechanisms of landscape patterns on forest productivity across spatial scales, providing a deeper understanding of ecosystem complexity and responses to accelerating land use changes.

Mapping the Social Relations of Labor in Contemporary Algorithmic Society

Abstract Moritz Altenried's The Digital Factory (2022) accomplishes in just under two hundred pages what many other books twice that length have struggled with: assembling a concise yet readable introductory map to the global, fragmented, and too-often hidden landscape of digitally-mediated capitalism. But the digital factory itself is an incomplete concept, almost always requiring us to look for the external and contingent labor support hidden just outside of its supposedly totalizing network of logistics, robotics and algorithms.

Forest fragmentation and forest cover dynamics: Mining induced changes in the West Singhbhum District of Jharkhand

Forests play a crucial role in the global climate system by acting as important carbon storage sinks and controlling the flow of carbon between land and the atmosphere. They provide a wide range of ecosystem services, including the supply of resources and biodiversity conservation. Deforestation is a significant issue leading to the release of carbon dioxide and greenhouse gases. The destruction and fragmentation of existing habitats pose significant threats to biodiversity. This study examined land use/land cover (LULC) alterations in the West Singhbhum district between 1987 and 2021, specifically emphasizing the influence of mining operations on the local forest ecosystem. This study used Landsat satellite imagery to examine data from 1987 to 2021, emphasizing five primary classifications: water body, mining area, built-up areas, open/cropland, and forest/vegetation. The maps were reclassified into two categories, namely, “No-Forest" and “Forest. Forest fragmentation maps were created using Landscape Fragmentation Tool (LFT) v2.0. A regression analysis was conducted to ascertain the correlation between mining growth and the reduction in forest cover. The analysis revealed increased mining areas, developed buildings, and cultivated land accompanied by a decline in forested areas and vegetation. There were substantial changes in land use, with mining areas expanding by 31.14 km2 and open/cropland increasing by 30.39 km2. The conversion of forested areas into agricultural zones and mining regions resulted in a 1.08% reduction in forest coverage.

Impacts of Land Use Changes on Landscape Patterns and Ecosystem Service Values in Counties (Villages) in Ethnic Regions of China: A Case Study of Jianghua Yao Autonomous County, Hunan Province

This study, using Jianghua Yao Autonomous County in Hunan Province as a case, systematically analyzes the response of ecosystem service value (ESV) to land use and landscape pattern changes by employing landscape-level indices and landscape-type-level indices. The findings provide a reliable basis for scientifically formulating land use planning and ecological protection policies in ethnic regions, thereby promoting regional ecological security and sustainable development. This study reveals that (1) the land use structure in the county underwent significant changes between 2000 and 2020, with grassland and shrubland areas decreasing substantially by 71.66% and 78.41%, respectively, while urban and arable land areas increased significantly by 228.30% and 15.84%, respectively. Particularly under the scenario of prioritizing economic development, these changes led to increased landscape fragmentation and a decline in ecosystem service value (from CNY 296.571 billion in 2020 to CNY 287.959 billion in 2030). (2) In contrast, the scenarios of ecological protection and sustainable development significantly enhanced the region’s ecosystem service value by increasing forest and water area, effectively maintaining the stability of the landscape pattern. These findings provide important evidence for the formulation of scientifically sound land use planning and ecological protection policies, contributing to the dual goals of economic development, tourism growth and ecological protection in Jianghua Yao Autonomous County and similar regions.

CSR Communication and the Polarization of Public Discourses: Introduction to the Special Issue

Corporate social responsibility (CSR) communication faces significant challenges due to an increasing polarization of public discourses. This polarization oversimplifies societal differences into “us versus them” dynamics, complicating consensus building and eroding trust in democratic processes. Traditionally, CSR communication research has focused on how organizations negotiate meanings between various stakeholders. However, the rise in polarization necessitates a broader research scope to understand its impact on CSR practices and organizational relationships. This Special Issue of Management Communication Quarterly explores these evolving challenges, analyzing how polarization reshapes CSR communication and outlining strategies for businesses to navigate this fragmented landscape. The issue also reflects on the broader role of corporations amidst tendencies of polarization and suggests directions for future research.

Extraction of Garlic in the North China Plain Using Multi-Feature Combinations from Active and Passive Time Series Data

Garlic constitutes a significant small-scale agricultural commodity in China. A key factor influencing garlic prices is the planted area, which can be accurately and efficiently determined using remote sensing technology. However, the spectral characteristics of garlic and winter wheat are easily confused, and the widespread intercropping of these crops in the study area exacerbates this issue, leading to significant challenges in remote sensing image analysis. Additionally, remote sensing data are often affected by weather conditions, spatial resolution, and revisit frequency, which can result in delayed and inaccurate area extraction. In this study, historical data were utilized to restore Sentinel-2 remote sensing images, aimed at mitigating cloud and rain interference. Feature combinations were devised, incorporating two vegetation indices into a comprehensive time series, along with Sentinel-1 synthetic aperture radar (SAR) time series and other temporal datasets. Multiple classification combinations were employed to extract garlic within the study area, and the accuracy of the classification results was systematically analyzed. First, we used passive satellite imagery to extract winter crops (garlic, winter wheat, and others) with high accuracy. Second, we identified garlic by applying various combinations of time series features derived from both active and passive remote sensing data. Third, we evaluated the classification outcomes of various feature combinations to generate an optimal garlic cultivation distribution map for each region. Fourth, we developed a garlic fragmentation index to assess the impact of landscape fragmentation on garlic extraction accuracy. The findings reveal that: (1) Better results in garlic extraction can be achieved using active–passive time series remote sensing. The performance of the classification model can be further enhanced by incorporating short-wave infrared bands or spliced time series data into the classification features. (2) Examination of garlic cultivation fragmentation using the garlic fragmentation index aids in elucidating variations in accuracy across the study area’s six counties. (3) Comparative analysis with validation samples demonstrated superior garlic extraction outcomes from the six primary garlic-producing counties of the North China Plain in 2021, achieving an overall precision exceeding 90%. This study offers a practical exploration of target crop identification using multi-source remote sensing data in mixed cropping areas. The methodology presented here demonstrates the potential for efficient, cost-effective, and accurate garlic classification, which is crucial for improving garlic production management and optimizing agricultural practices. Moreover, this approach holds promise for broader applications, such as nationwide garlic mapping.

Combined effects of landscape fragmentation and sampling frequency of movement data on the assessment of landscape connectivity

BackgroundNetwork theory is largely applied in real-world systems to assess landscape connectivity using empirical or theoretical networks. Empirical networks are usually built from discontinuous individual movement trajectories without knowing the effect of relocation frequency on the assessment of landscape connectivity while theoretical networks generally rely on simple movement rules. We investigated the combined effects of relocation sampling frequency and landscape fragmentation on the assessment of landscape connectivity using simulated trajectories and empirical high-resolution (1 Hz) trajectories of Alpine ibex (Capra ibex). We also quantified the capacity of commonly used theoretical networks to accurately predict landscape connectivity from multiple movement processes.MethodsWe simulated forager trajectories from continuous correlated biased random walks in simulated landscapes with three levels of landscape fragmentation. High-resolution ibex trajectories were reconstructed using GPS-enabled multi-sensor biologging data and the dead-reckoning technique. For both simulated and empirical trajectories, we generated spatial networks from regularly resampled trajectories and assessed changes in their topology and information loss depending on the resampling frequency and landscape fragmentation. We finally built commonly used theoretical networks in the same landscapes and compared their predictions to actual connectivity.ResultsWe demonstrated that an accurate assessment of landscape connectivity can be severely hampered (e.g., up to 66% of undetected visited patches and 29% of spurious links) when the relocation frequency is too coarse compared to the temporal dynamics of animal movement. However, the level of landscape fragmentation and underlying movement processes can both mitigate the effect of relocation sampling frequency. We also showed that network topologies emerging from different movement behaviours and a wide range of landscape fragmentation were complex, and that commonly used theoretical networks accurately predicted only 30–50% of landscape connectivity in such environments.ConclusionsVery high-resolution trajectories were generally necessary to accurately identify complex network topologies and avoid the generation of spurious information on landscape connectivity. New technologies providing such high-resolution datasets over long periods should thus grow in the movement ecology sphere. In addition, commonly used theoretical models should be applied with caution to the study of landscape connectivity in real-world systems as they did not perform well as predictive tools.

Behavioral Interactions and Mate Compatibility Influence the Reproductive Success of New England Cottontails (Sylvilagus transitionalis) in a Conservation Breeding Program

Wild populations of New England cottontails (NECs, Sylvilagus transitionalis) are declining and occupy a small proportion of their historic range. To conserve this species, wild-caught cottontails participate in a reintroduction breeding program. To increase the program’s productivity, this study described breeding behavior in pairings with (n = 3 pairings) and without (n = 9 pairings) reproductive success. Females were paired with two males consecutively and behaviors were recorded using 24 h continuous video footage. Activity peaked between 19:00 and 06:00. Copulation was only observed in successful pairings, and the gestation period was 31 days. Successful pairings had a significantly higher rate of follows (p < 0.001) and a lower rate of dashes (p < 0.0001) compared to unsuccessful pairings. Females had significantly higher rates of charge (p < 0.0005), chase (p < 0.0003), and dash (p < 0.0016) than males. Males had higher rates of follow (p < 0.005) than females. Males and females altered their behavior in the presence of different potential mates, suggesting that mate compatibility may influence breeding program productivity. This study significantly expands the understanding of NEC breeding behavior and is applicable to the management of this imperiled species living at low densities in fragmented landscapes.

Revolution and feelings: an introduction

ABSTRACT The recent fragmentation of the political landscape and the increasing uncertainty of its boundaries have made historians more acutely aware that politics does not exist only ‘high up’ and on the macro level but reaches deep into the private lives of people, shapes their identities and perceptions, influences their thoughts and emotions, regulates and modifies their behaviour. This makes the public/private divide a starting point from which to explore the multiple layers of politics. This is the perspective adopted in this Special Issue, that is dedicated to forms of revolutionary militancy in nineteenth and twentieth century Italy. Indeed, few other historiographical events are better suited than revolution and its concrete manifestation in history to be investigated from the perspective of private experiences, feelings, and emotions. The aim of these papers is, therefore, to describe the different Italian revolutionary cultures from the nineteenth century until the 1970s, analysing on the one hand the intersection between history and individual stories and on the other the emotional substratum of politics.

Habitat fragmentation differentially affects invasive and native plant diversity in a human-dominated wetland island system

Managing invasive species requires identifying the factors that determine alien species invasion success. This study investigates how anthropogenic and biogeographical factors influence alien plant invasion in the Sanyang Wetlands, a human-dominated island system in Wenzhou City, China. Specifically, we analyzed whether human activities (e.g., habitat heterogeneity, proportion of road area, and cultivation) and island characteristics (e.g., island area, isolation) affect the diversity of native and invasive plant species similarly. We also assessed the applicability of the equilibrium theory of island biogeography to invasive plant species diversity and examined how these factors affect invasive plant species with different dispersal syndromes (anemochore, zoochore, and autochore). We found that both invasive and native species richness positively correlate with island area, habitat heterogeneity, and proportion of road area. However, although native species richness was negatively correlated with isolation, invasive species richness was not. The diversity and composition of invasive species with different dispersal syndromes were determined by different variables; for example, the composition and diversity of zoochores was increased by habitat heterogeneity, while anemochore species richness was increased by the proportion of road area, whereas anemochore species composition was influenced by distance to the nearest island. We conclude that habitat fragmentation differentially affects invasive and native plant diversity, aligning with the predictions of the equilibrium theory of island biogeography only for native species but not for invasive species. Our findings indicate that tailoring habitat attributes and regulating human activities could be effective strategies for mitigating the spread of invasive species in fragmented landscapes.

Navigating ISO 20022 maintenance in a connected world: A vision for harmonisation

The implementation of ISO 20022 in payment infrastructures has been hailed as a paradigm shift towards seamless transactions, heralding flexibility for financial market infrastructures (MIs) and enabling the creation of bespoke ISO 20022 variants. The initial allure of this flexibility, however, led to an unintended consequence — a proliferation of variants with different timelines, versions and market practices. This fragmented landscape has introduced challenges for organisations seeking to achieve high levels of automated ‘straight-through processing’. Different variants affect end-users’ ability to automate reconciliation processes and complicates endeavours to establish and sustain a cohesive ISO 20022 future. As we navigate the intricacies of a globally interlinked financial ecosystem, the role of ISO 20022 maintenance has emerged as a linchpin in the seamless exchange of standardised financial messages. This paper emphasises the importance of streamlining the ISO 20022 environment and messaging life cycle to facilitate efficient maintenance processes, foster broader harmonisation and usher in an era of truly frictionless payments. In proposing this shift, the paper advocates for a transformative approach. It posits two opportunities: the establishment of a unified, industry-led governance structure and the definition of a common message template. These initiatives are envisioned as essential to harmonising the fragmented ISO 20022 landscape, offering a path for end-to-end interoperability across the diverse payment chain. While acknowledging the ambitious nature of these proposals and timelines, the potential benefits are significant. The proposed initiatives could lead to more efficient maintenance processes, enhanced interoperability and a shared framework for ISO 20022 payments. The industry faces a crucial choice — whether to embrace this ambitious evolution or settle for the status quo. The imperative is clear: achieving a more interoperable and harmonised future for ISO 20022 payments is not just an opportunity but a necessity for the industry’s continued growth, resilience and operational efficiency.

Integrating ecosystem services supply-demand balance into landscape ecological risk and its driving forces assessment in Southwest China

The supply-demand balance of ecosystem services (ES) plays an important role in mitigating regional ecological risks and optimizing landscape patterns. However, traditional landscape ecological risk (LER) assessments consider the potential loss of ES supply while ignoring the supply–demand coupling relationship, and fails to reveal the actual situation of ecological risk. To fill this gap, taking the Southwest China (SWC) as an example, this study proposed an improved LER assessment method that focuses on ES supply-demand balance, and analyzed the spatio-temporal characteristics of LER and its driving factors in the SWC from 2000 to 2020 by using hotspot analysis, geo-detectors and geographical temporally weighted regression models. The results show that (1) the comparison results with the traditional LER evaluation method demonstrated the improved method's superior rationality and reliability. The overall LER of the SWC over the past 20 years displayed a fluctuating trend, with a spatial clustering pattern of high in the northeast and low in the southwest. (2) Human activities explained the relatively high spatial heterogeneity in high-risk areas, while in low-risk areas it was mainly the interaction of natural factors and landscape structural. Meanwhile, obvious temporal non-stationary was identified in the evolution of the key factors. The positive effects of land use intensity and landscape fragmentation gradually weakened, while the negative effects of Shannon diversity index gradually increased. The results can provide theoretical support and policy recommendations for ecosystem conservation and high-quality urban development in the SWC.

Spatial Modeling of Insect Pollination Services in Fragmented Landscapes.

Pollination mapping and modeling have opened new avenues for comprehending the intricate interactions between pollinators, their habitats, and the plants they pollinate. While the Lonsdorf model has been extensively employed in pollination mapping within previous studies, its conceptualization of bee movement in agricultural landscapes presents notable limitations. Consequently, a gap exists in exploring the effects of forest fragmentation on pollination once these constraints are addressed. In this study, our objective is to model pollination dynamics in fragmented forest landscapes using a modified version of the Lonsdorf model, which operates as a distance-based model. Initially, we generated several simulated agricultural landscapes, incorporating forested and agricultural habitats with varying forest proportions ranging from 10% to 50%, along with a range of fragmentation degrees from low to high. Subsequently, employing the modified Lonsdorf model, we evaluated the nesting suitability and consequent pollination supply capacity across these diverse scenarios. We found that as the degree of forest fragmentation increases, resulting in smaller and more isolated patches with less aggregation, the pollination services within landscapes tend to become enhanced. In conclusion, our research suggests that landscapes exhibiting fragmented forest patch patterns generally display greater nesting suitability due to increased floral resources in their vicinity. These findings highlight the importance of employing varied models for pollination mapping, as modifications to the Lonsdorf model yield distinct outcomes compared to studies using the original version.

Simulated Herbicide Drift Effects on Seed Germination, Seedling Emergence, and Seedling Growth of Native Plants of the Northern Great Plains.

Small concentrations of herbicide, such as those found in drift, can affect nontarget plants at different life-history stages including seed germination and seedling emergence as well as seedling growth. Fragmented landscapes, such as those in the northern Great Plains, lead to increased proximity of ecological restoration sites to agricultural lands using herbicides. Germination, emergence, and growth are crucial life-history stages leading to ecological restoration success, but these stages are sensitive to impacts from external factors such as herbicide exposure. A lab germination experiment and a greenhouse emergence experiment were performed to examine the effect of herbicides (2,4-dichlorophenoxyacetic acid [2,4-D], atrazine, and trifluralin) on species used in ecological restorations in the northern Great Plains. Seed germination, seedling emergence, and seedling growth of many study species decreased with exposure to herbicides at different concentrations representative of herbicide drift. At concentrations as low as 0.1% recommended application rate 2,4-D elicited broad effects on final seed germination percentage and germination rate. Atrazine affected seedling emergence and growth for a number of study species at concentrations as low as 10% recommended application rate. Trifluralin affected germination, emergence, and growth of the fewest number of study species. The information gained from these experiments can be used to inform restoration practitioners of best practices and recommended species to use when implementing ecological restoration adjacent to agricultural lands. Environ Toxicol Chem 2024;43:2387-2397. © 2024 The Author(s). Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

Variations in risk‐taking behaviour mediate matrix mortality's impact on biodiversity under fragmentation

The impact of fragmentation on biodiversity is driven by more than the spatial configuration of suitable habitat patches. Habitat is embedded in the surrounding anthropogenic land cover, known as the matrix, which plays a key role in species movement and connects the fragmented habitat. Whether the matrix is a barrier or a conduit to movement depends on the mortality of the moving individuals. However, individuals differ in their behavioural response to the risk posed by the matrix, with the willingness to enter the matrix depending on an individual's risk‐taking behaviour. This individual‐level behavioural variability is rarely considered but represents an additional mechanism shaping inter‐ and intraspecific competition as well as evolutionary behavioural responses. We used an individual‐based model to scale up from individual foraging movements to the resulting community structure of a competitive small mammal community in differently fragmented landscapes. The model interactively considers extrinsic matrix conditions, given as a certain mortality rate, and individual differences in intrinsic movement decisions when moving into the matrix. The model was used to investigate consequences of fragmentation and matrix mortality for species and behavioural diversity. Low matrix mortality resulted in a positive effect of fragmentation on species diversity. At the same time, it led to a high average risk‐taking behaviour. While this was an important adaptive response to fragmentation, it also led to a loss of intraspecific diversity. High matrix mortality reversed the effect of fragmentation, leading to a drastic loss of species with increasing fragmentation. High mortality risk reduced average risk‐taking, especially at high fragmentation. Study findings suggest that the feasibility of movement in the matrix can influence species diversity and evolutionary responses of movement‐related behavioural traits in fragmented landscapes. The matrix may thus play a key role in reconciling contrasting empirical results and provides a promising tool for future biodiversity conservation.

Assessment of coastal landscape fragmentation and its driving factors based on optimal scale: A case study of the Yellow River Delta, China

Since the large-scale oil exploration and development in the 1960 s, the Yellow River Delta (YRD) has undergone rapid industrialization and urbanization. Concurrently, the regional landscape ecological structure has experienced significant changes, and the degree of landscape fragmentation has increased. Therefore, a comprehensive assessment of the spatiotemporal dynamics and formation mechanisms of landscape fragmentation is crucial for the protection and restoration of natural ecosystem in the YRD. This study constructs an evaluation index system for landscape fragmentation in the YRD from three perspectives: quantitative characteristics, shape features, and spatial distribution. By combining inflection point analysis, landscape area loss index, and geostatistical models, the optimal spatial scale of landscape fragmentation from 2000 to 2020 is determined. Additionally, the study analyzes the spatiotemporal changes in landscape fragmentation and employs the optimal parameters-based geographical detector (OPGD) model to reveal the formation mechanisms of spatial heterogeneity in landscape fragmentation. The study findings are as follows: (1) The optimal spatial resolution for analyzing landscape fragmentation in the YRD was 80 m, and the extent was 880 m. (2) Between 2000 and 2020, landscape fragmentation in the YRD increased, with the highest level recorded in 2020. Highly fragmented areas, particularly inland regions, expanded remarkably, whereas coastal areas experienced lower fragmentation levels. (3) Distance to rivers and ditch density were the primary factors affecting landscape fragmentation, followed by land-use type and average land gross domestic product. The influence of natural factors was relatively minimal. The interaction between factors had a greater influence on landscape fragmentation compared to individual factors. The distance to rivers and land-use type exhibited the most substantial enhancement effects following interaction with other factors. This study provides valuable insights into the spatiotemporal dynamics and mechanisms of landscape fragmentation in the YRD, providing valuable guidance for the sustainable management and ecological restoration of the region and other similar ecologically sensitive areas.

Spatial Correlation of Landscape Fragmentation and Ecological Sensitivity in China’s Giant Panda National Park and Surrounding Areas

The Giant Panda National Park (GPNP) and its surrounding areas constitute a comprehensive ecosystem aimed at protecting the natural habitat of giant pandas, maintaining biodiversity, and ensuring ecological balance. Investigating the spatial correlation between landscape pattern indices and ecological sensitivity (ES) in this area is a crucial step in the construction of ecological civilization and contributes significantly to ecological conservation, restoration, and environmental management. This study utilized Geographic Information Systems (GIS) and Fragstats software to select nine ecological evaluation factors and four landscape pattern indices to comprehensively evaluate the ES and landscape patterns of the GPNP and its surrounding areas. This study discovered that the ecological sensitivity of the GPNP is substantially higher than that of the neighboring areas, with the northern Qionglai Mountain area and the western Minshan area showing the highest concentrations of exceptionally high sensitivity. Highly sensitive areas account for 35.22% of the study region, concentrated in areas within the national park, except the Qinling area, as well as the western and southern surrounding areas. The distribution of moderately sensitive areas is more uniform, while low and insensitive areas are found primarily in the northern and eastern areas, along with the national park’s environs. Patch density (PD) within the GPNP is lower than in surrounding areas, with higher PD in the northern and central parts. The landscape division index (DIVISION) decreases from west to east, and the landscape disturbance index (LDI) is significantly lower within the national park than in surrounding areas, with small areas of high LDI in the entire study region. Moran’s index analysis of the GPNP and its surrounding areas shows that ecological sensitivity is positively correlated with landscape pattern indices (PD, SPLIT, DIVISION, and LDI), with the strongest correlation between DIVISION and ecological sensitivity. Spatially, the internal areas of the national park have lower landscape pattern indices but higher ecological sensitivity, while the eastern region exhibits severe landscape fragmentation. Major clusters of high and low values are found around the Qionglai-Daxiangling area, indicating that these areas of high ecological sensitivity have complex landscape structures, numerous habitat edges, and significant impacts on biodiversity and ecological processes. Overall, the areas surrounding the GPNP exhibit lower ecological sensitivity levels and higher landscape fragmentation, emphasizing the need for focused ecological protection in the northern part of the QLS region and the western part of the MS region. Additionally, attention should be given to the impact of landscape fragmentation in the surrounding areas in the interior of the GPNP. These results provide scientific evidence for the sustainable development of the GPNP and its surrounding areas.

Integrating high-resolution remote sensing and empirical wildlife detection data for climate-resilient corridors across tropical elevational gradients

Corridors are essential tools for promoting biodiversity resilience under climate change. However, corridor design studies are often conducted at spatial scales too coarse to guide implementation by local conservation practitioners. We mapped potential climate-resilient corridors linking lowland to highland protected areas within a highly biodiverse but fragmented landscape of southwestern Costa Rica (6311 km2) using least cost path and circuit theory approaches at high spatial resolution (10 m). We then applied an extensive camera trap dataset of medium-large vertebrates to examine corridor functionality. Although least cost paths (n = 40) were predominantly forested (median = 76 %, range = 57–82 %) and somewhat protected (median = 31 %, range = 3–55 %), they were also highly fragmented. Least cost paths from lowland to highland protected areas traversed medians of 252 forest patches (range = 162–328), 11,186 agriculture patches (range = 822–1,771), and 106 roads (range = 50–252), translating to 2 forest patches, 11 agriculture patches, and 1 road crossed every kilometer. Circuit analyses identified many high-connectivity areas outside of protected areas, including but not limited to least cost paths, but these high-connectivity areas were mostly small forest fragments. Nonetheless, capture rates for medium-to-large mammals at camera traps indicated that many species are currently unlikely to use unprotected, fragmented areas thought to be important for connectivity. In other words, additional conservation and restoration are necessary to establish functional corridors within the landscape. More broadly, this study exemplifies an approach to bridging the gap between regional-scale connectivity analyses and the needs of local practitioners by identifying locations that could be targeted for conservation or restoration within multi-use tropical landscapes.