Connectivity Restoration Research Articles

Region-Different Network Reconfiguration in Disjoint Wireless Sensor Networks for Smart Agriculture Monitoring

Connectivity restoration is essential for ensuring continuous operation in wireless sensor networks (WSNs). However, existing works lack enough network robustness when suffering from the secondary external damages. In this paper, we propose a novel connectivity restoration scheme to address this problem. This scheme comprises three connectivity mechanisms regarding relay segment selection in different regions. The first one is a data traffic decentralization mechanism, which establishes more transmission paths near the sink for reliability improvement and traffic load balancing. The second one is a segment shape selection mechanism, in which the segments with high-reliability preferably become the relay segments for greater network robustness. The third one is a traffic load transfer mechanism, in which data traffic is transferred from a high-load segment to a low-load segment for balancing energy depletion of the network. The distinctive characteristics of this work are twofold: different regions perform diverse connectivity restoration approaches according to the demand diversity of different regions, and traffic load can be balanced from upstream regions rather than only from downstream regions. Extensive simulation experiments validate the effectiveness and advantages of our proposed scheme in terms of connection cost, network robustness, load balance degree, and network longevity.

Conservation at the nexus of niches: Multidimensional niche modeling to improve management of Prairie Chub

AbstractObjectiveA central challenge in applied ecology is understanding how organisms are spatially and temporally distributed and how management might be tailored to maintain or restore species distributions. The niche concept is central to understanding species distributions, but the diversity of niche definitions requires that multiple dimensions be considered. For example, the Grinnellian niche concept focuses on environmental conditions that allow species to persist, the Eltonian niche concept stresses the influence of biotic interactions, and the fundamental niche concept considers both abiotic and biotic environmental features to define spaces that organisms could occupy.MethodsWe combined abiotic (A), biotic (B), and movement (M) information (collectively, BAM model) to map the multidimensional niche of Prairie Chub Macrhybopsis australis, a regionally endemic freshwater fish currently under review for listing under the Endangered Species Act. We estimated A using remotely sensed environmental riverscape variables, B using the spatial distribution of a hybridization zone between Prairie Chub and Shoal Chub M. hyostoma, and M using data from a mark–recapture study.ResultThe BAM model estimated the spatial extent of multiple niches, including the Grinnellian (A; extent = 944 km of river), Eltonian (B; 2974 km), and fundamental niche (overlap of A + B; 645 km) niches. When A, B, and M components were combined, the estimated extent of the Prairie Chub niche was 645 km.ConclusionOur work shows that the realized, multidimensional niche of Prairie Chub includes medium to large rivers with high habitat connectivity in the upper–middle Red River basin upstream of the distribution of Shoal Chub. The current Prairie Chub distribution could be maintained by preventing further habitat fragmentation and maintaining the environmental gradient separating Prairie Chub from Shoal Chub. Expansion of the species distribution may be possible through restoration of longitudinal fluvial connectivity.

Macroinvertebrate conservation in river ecosystems: Challenges, restoration strategies, and integrated management approaches

AbstractRiver ecosystems face growing threats from human‐induced stressors, resulting in habitat degradation and biodiversity loss. Crucial to these ecosystems, macroinvertebrates maintain river health and functioning. In this review, we examine the challenges confronting macroinvertebrates, explore restoration strategies and management approaches, and shed light on knowledge gaps and future research directions. Habitat degradation, water pollution, climate change, and invasive species are discussed as key challenges. Various restoration strategies, such as in‐stream habitat restoration, flow regime restoration, riparian zone restoration, and connectivity restoration, are evaluated for macroinvertebrate conservation. Integrated catchment management, adaptive management, community‐based management, monitoring, and policy integration are highlighted as essential management approaches, and knowledge gaps in long‐term monitoring, innovative restoration techniques, climate change resilience, and policy incorporation are identified as areas calling for further research. Ultimately, a proactive, adaptable, and cooperative approach to river management will ensure macroinvertebrate conservation and sustainable river ecosystems.

Identifying changes in the hydrological connectivity and their drivers in the Liaohe Delta wetland

Hydrological connectivity is of great significance to the formation and development of wetlands. Identifying the causes of reduced hydrological connectivity is also critical for restoring wetland systems. Despite its importance, research to identify connectivity or blockage and quantify the impact of different drivers on wetland hydrological connectivity remains a challenge due to the lack of appropriate data at large scales. This paper quantitatively analyzed the hydrological connectivity in the Liaohe Delta wetland using multispectral Landsat series datasets from 1986 to 2020 in the Google Earth Engine (GEE) by combining water area, connectivity function value (CFV), average monthly inundation frequency. The paper also defined identification criteria for connectivity or blockage and quantified the drivers of changes in hydrological connectivity by combining the identified results with wetland classification data. The results showed that (1) over the past 35 years, water area has slightly decreased and has shown a seasonal difference, with summer, autumn, and spring in decreasing order. The spatial distribution of water has expanded from land to sea. (2) CFV decreased and connectivity blockage occurred. The maximum hydrological connectivity distance has undergone fluctuations, exhibiting a decrease in its threshold value from 62.37 km between 1986 and 2011, to 55.2 km between 2011 and 2013. Subsequently, the threshold increased back to 62.37 km between 2013 and 2014, before declining to 55.17 km between 2014 and 2020. Heavy inundation and total inundation were mainly concentrated in nascent estuary areas and shallow sea areas. (3) Connectivity blockage has been a major trend in connectivity change over the past 35 years, with the most severe blockage occurring from 2006 to 2015. The factors influencing connectivity blockage were more natural than human factors before 2006, after which human factors gradually became the dominant driving factor. Over the past 35 years, hydrological connectivity has decreased and connectivity has been blocked. Human activities have become the main factor in the blockage of connectivity in the Liaohe Delta wetland since 2006. This study provides valuable insights for the conservation and restoration of hydrological connectivity in the Liaohe Delta wetland.

Subacute aphasia recovery is associated with resting-state connectivity within and beyond the language network.

To examine changes to connectivity after aphasia treatment in the first 3 months after stroke. Twenty people experiencing aphasia within the first 3 months of stroke completed MRI before and immediately following 15 hours of language treatment. They were classified based on their response to treatment on a naming test of nouns as either high responders (10% improvement or more), or low responders (<10% improvement). Groups were similar in age, gender distribution, education, days since stroke, stroke volume, and baseline severity. Resting-state functional connectivity analysis was limited to the connectivity of the left fusiform gyrus with the bilateral inferior frontal gyrus, supramarginal gyrus, angular gyrus, and superior, middle, and inferior temporal gyrus, based on previous studies showing the importance of left fusiform gyrus in naming performance. Baseline ipsilateral connectivity between the left fusiform gyrus and the language network was similar between high and low responders to therapy when controlling for stroke volume. Following therapy, change in connectivity was significantly greater among high responders between the left fusiform gyrus and the ipsilateral and contralateral pars triangularis, ipsilateral pars opercularis and superior temporal gyrus, and contralateral angular gyrus when compared with low responders. An account of these findings incorporates primarily proximal connectivity restoration, but also potentially reflects select contralateral compensatory reorganization. The latter is often associated with chronic recovery, reflecting the transitional nature of the subacute period.

Using systematic conservation planning to inform restoration of freshwater habitat and connectivity for salmon

AbstractInstream barriers remain ubiquitous threats to freshwater species and their habitats. Decisions regarding barrier removal are often aimed at maximizing habitat area and connectivity for freshwater fish; yet can be challenging due to the sheer number of barriers, uncertainty in species presence, abundance, and habitat quality, as well as limited budgets alongside high costs of restoration. Here, we apply systematic conservation planning to prioritize in‐stream barrier removal aimed at restoring habitat connectivity for 14 populations of wild Pacific salmon in the lower Fraser River, Canada's most productive salmon‐bearing river. To understand how priorities change when stream quality is considered, we contrast scenarios that maximize habitat extent with scenarios that include four indicators of habitat quality. Region‐wide, approximately 64% of naturally accessible stream length is currently blocked by barriers. We estimate approximately 75% of this alienated habitat (over 1600 km of stream), could have full access restored with an investment of $200 million CAD, whereas 60% could be restored for half this amount. When stream quality was considered within the optimization, priorities for barriers removal shifted away from urbanized floodplain valleys towards less developed areas. The spatial shift in priorities meant that species like chum salmon (Oncorhynchus keta) would see less restored habitat. To inform barrier removal strategies using these model scenarios, an iterative and adaptive approach will be required that includes the values and priorities of rights and titleholders. Continuous improvement in data quality, accuracy, and feedback from monitoring as barriers are restored is also crucial.

Boosting large-scale river connectivity restoration by planning for the presence of unrecorded barriers.

Conservation decisions are invariably made with incomplete data on species' distributions, habitats, and threats, but frameworks for allocating conservation investments rarely account for missing data. We examined how explicit consideration of missing data can boost return on investment in ecosystem restoration, focusing on the challenge of restoring aquatic ecosystem connectivity by removing dams and road crossings from rivers. A novel way of integrating the presence of unmapped barriers into a barrier optimization model was developed and applied to the U.S. state of Maine to maximize expected habitat gain for migratory fish. Failing to account for unmapped barriers during prioritization led to nearly 50% lower habitat gain than was anticipated using a conventional barrier optimization approach. Explicitly acknowledging that data are incomplete during project selection, however, boosted expected habitat gains by 20-273% on average, depending on the true number of unmapped barriers. Importantly, these gains occurred withoutadditional data. Simply acknowledging that some barriers were unmapped, regardless of their precise number and location, improved conservation outcomes. Given incomplete data on ecosystems worldwide, our results demonstrate the value of accounting for data shortcomings during project selection.

Disrupted longitudinal restoration of brain connectivity during weight normalization in severe anorexia nervosa

Altered intrinsic brain connectivity of patients with anorexia nervosa has been observed in the acute phase of the disorder, but it remains unclear to what extent these alterations recover during weight normalization. In this study, we used functional imaging data from three time points to probe longitudinal changes in intrinsic connectivity patterns in patients with severe anorexia nervosa (BMI ≤ 15.5 kg/m2) over the course of weight normalization. At three distinct stages of inpatient treatment, we examined resting-state functional connectivity in 27 women with severe anorexia nervosa and 40 closely matched healthy controls. Using network-based statistics and graph-theoretic measures, we examined differences in global network strength, subnetworks with altered intrinsic connectivity, and global network topology. Patients with severe anorexia nervosa showed weakened intrinsic connectivity and altered network topology which did not recover during treatment. The persistent disruption of brain networks suggests sustained alterations of information processing in weight-recovered severe anorexia nervosa.

Upland prairie adaptive management staged‐scale restoration practices for native plant and endangered butterfly reintroduction

Abstract The present practice insight derives from land manager requests to document current on‐site activity and provides a management planning reference for restoration on Violet Prairie. Start‐up restoration initiates from trial‐and‐error adaptive management practices in the Puget Sound region of western Washington, USA. Treatments used focus on the implementation of staged‐scale restoration. Preparation intends to meet reintroduction goals of establishing a native plant community that could potentially support the threatened endemic Castilleja levisecta (golden paintbrush). Reintroduction of the associated native plant community provides habitat for endangered Euphydryas editha taylori (Taylor's checkerspot butterfly). Known conventional agricultural use coupled to fire suppression since the 1800s altered regional prairie lands to an unfavourable state for native plant species. Local native prairie soil types were favoured for growing conventional grasses and exotic forb species common to grazing pastures. Land abandonment and degradation has lengthened the time of disturbance and complicated restoring to a generalized reference point prior to settlement. Persistent exotic species, encroaching housing development, coniferous forest and recent wildfire complicate converting back to native prairie. Threatened and endangered species and their habitat are targeted in a trial‐and‐error process of staged‐scale adaptive management within the goal of whole ecosystem and connectivity restoration. Land managers focus on exotics removal and intensive native reseeding while restoring the use of prescribed burning as a maintenance tool. Embedded monitoring and observation advises where future practices need to be adapted by focusing on treatments and outcomes. Past land use practices replaced native soil seed banks with exotic seed banks that further distort reference proxies. Unknowns interrupt the current implementation additionally to soil conversion issues, while short‐term adaptive management methods initiate conversion back to native prairie. Species reintroduction choices to develop community structure are complicated by the fact that historical reference point species may be missing altogether from existing native communities. An unanswered outcome of the restoration process is determining which set of treatments best prepares soil for the desired native plant community.

Exploring the Restoration of Brain Connectivity during Weight Normalization in Severe Anorexia Nervosa

Abstract Anorexia nervosa is a persistent and often difficult to treat eating disorder with significant physical and mental health consequences. While it is known that the disorder is associated with alterations in brain functional connectivity during the phase of acute underweight, the effect of weight normalization on brain connectivity remains unclear. This talk focuses on the recovery of intrinsic brain connectivity during weight normalization in severe anorexia nervosa, presenting data from a longitudinal study. Using resting-state functional magnetic resonance imaging, we assessed brain connectivity at three different stages of inpatient treatment. Our findings indicate that patients with severe anorexia nervosa have weaker intrinsic connectivity and altered network topology, which do not improve during treatment. These persistent disruptions in brain networks suggest that severe anorexia nervosa may have long-term effects on the way the brain processes information, even after weight is restored. Disclosure of Interest None Declared

Coordinated network partition detection and bi-connected inter-partition topology creation in damaged sensor networks using multiple UAVs

Reliable connectivity restoration mechanism is essential for retaining the prolonged network functioning of Wireless Sensor and Actor Networks (WSANs). WSANs operate in harsh or inhospitable environments and are susceptible to multiple node failures that may fragment the fully connected network into disparate fragments. The well-known network recovery techniques deploy new relay nodes for recovery and introduce more cut vertices in the network that generates the resulting network topology vulnerable to further partitioning. Therefore, it is advantageous to identify the network partitions in less time and establish a fault-tolerant topology during the network restoration. This paper provides a new coordinated network partition detection and Bi-connected Inter-partition Topology creation solution in damaged sensor networks using multiple UAVs (UAV-BITS) that operates in different phases. UAV-BITS employs multiple UAVs to identify the network partitions and engages network nodes to self-identify their partitions by creating Connected Component Sets (CCSs) iteratively. During the network recovery process, UAV-BITS creates two-vertex disjoint paths between the network partitions to make the recovered network topology fault-tolerant. UAV-BITS is assessed according to various parameters like the number of deployed relay nodes, the number of messages transmitted during detection and recovery phases, network partition detection and recovery time, and distance traveled by UAVs. The performance of CCS based partition detection mechanism is also compared with a similar UAVs-assisted partition detection approach. The working of existing bi-connected topology creation algorithms that employ representative nodes is also analyzed and compared with the proposed recovery algorithm. The simulation results illustrate that UAV-BITS provides a better fault-tolerant network topology than already proposed solutions. The algorithm also reduces the travel distance of UAVs and detection time.

Obstacle-aware connectivity restoration for the partitioned wireless sensor networks using mobile data carriers

Obstacle-aware connectivity restoration for the partitioned wireless sensor networks using mobile data carriers

Connectivity Guarantee Within UAV Cluster: A Graph Coalition Formation Game Approach

Unmanned Aerial Vehicle (UAV) clustering is promising for performing large-scale missions because of high mobility and easy deployment. However, the connectivity problems caused by the high mobility of UAVs and the interferences are mostly ignored in existing UAV mission executions. Rapid restoration of UAV network connectivity is essential for preventing communication disruption and improving the overall network performance. Thus, a graph coalition formation game that integrates the UAV time-varying topology graph with the coalition formation game is proposed to rapidly restore the connectivity of the UAV network in need. The method improves the utility of UAV clustering and ensures the network connectivity. Then, a graph coalition formation game algorithm based on the shortest path tree (SPT-GCF) rapidly forms an approximately optimal coalition structure. The simulation results show that the proposed approach increases the average utility of UAV clustering by 6.5% and 14.5% respectively when compared with the existing non-overlapping coalition formation game (NOCFG) and the coalition formation game without considering the cluster connectivity.

An Optimal Cluster Head and Gateway Node Selection with Fault Tolerance

In Mobile Ad Hoc Networks (MANET), Quality of Service (QoS) is an important factor that must be analysed for the showing the better performance. The Node Quality-based Clustering Algorithm using Fuzzy-Fruit Fly Optimization for Cluster Head and Gateway Selection (NQCAFFFOCHGS) has the best network performance because it uses the Improved Weighted Clustering Algorithm (IWCA) to cluster the network and the FFO algorithm, which uses fuzzy-based network metrics to select the best CH and entryway. However, the major drawback of the fuzzy system was to appropriately select the membership functions. Also, the network metrics related to the path or link connectivity were not considered to effectively choose the CH and gateway. When learning fuzzy sets, this algorithm employs a new Continuous Action-set Learning Automata (CALA) approach that correctly modifies and chooses the fuzzy membership functions. Despite the fact that it extends the network’s lifespan, it does not assist in the detection of defective nodes in the routing route. Because of this, a new Fault Tolerance (NQCAEFFFOCHGS-FT) mechanism based on the Distributed Connectivity Restoration (DCR) mechanism is proposed, which allows the network to self-heal as a consequence of the algorithm’s self-healing capacity. Because of the way this method is designed, node failures may be utilised to rebuild the network topology via the use of cascaded node moves. Founded on the fractional network information and topologic overhead related with each node, the DCR is suggested as an alternative to the DCR. When compared to the NQCAFFFOCHGS algorithm, the recreation results display that the proposed NQCAEFFFOCHGS-FT algorithm improves network performance in terms of end-to-end delay, energy consumption, Packet Loss Ratio (PLR), Normalized Routing Overhead (NRO), and Balanced Load Index (BLI).

Study on spatio-temporal variation and hydrological connectivity of tidal creek evolution in Yancheng coastal wetlands.

The ecological changes have attracted extensive international attention at Jiangsu Yancheng coastal wetland on the west coast of the Pacific Ocean in recent decades. Tidal creek is an important channel for material exchange between sea and land and plays an important role in the connectivity of water in coastal wetlands. The tidal flats from Sheyang Port to Liangduo Estuary in Jiangsu Province were selected and divided into five sub-study areas using each port as a split point. Based on the remote sensing image data from 1987 to 2020, this study used seven parameters (grade, number, length, density, curvature, bifurcation ratio, and drainage efficiency) to analyze the spatio-temporal divergence patterns and hydrological connectivity of tidal creek network. The results showed that (1) the area of tidal flat was reduced from 1024.87 to 352.05 km2, the total length of the tidal creek was directly reduced from 1061.27 to 640.74km, the average density increased from 1.00 to 1.82km/km2, and the total number increased by 33% in 1987-2020, indicating the tidal creeks tended to be "short, fragmented, and parallelized." (2) The development degree of tidal creek networks showed a trend of gradually increasing from north to south, in which the γ index in areas II and V were closer to 1/3 of tree shape after 2002, indicating that the development of tidal creeks in these two areas was better. (3) The spatial heterogeneity of hydrological connectivity levels of tidal creeks in the study area was obvious, which gradually increased from north to south. In 2020, Area I was the lowest, and ICmin was 0.14, and Area V was the highest, and ICmax was 0.90. (4) Reclamation was the main factor leading to the shrinkage and degradation of tidal creeks, but it also increased tidal creek density and hydrological connectivity per unit area; the expansion of Spartina alterniflora had a certain influence on the development of tidal creeks. The results of this study are expected to provide data support for understanding and predicting the evolution of the morphological characteristics of tidal creeks under the influence of human and natural activities and provide scientific reference for the protection and restoration of hydrological connectivity in coastal wetlands.

Multirobot Federating Method for Disjoint Segments in Wireless Sensor Network Based on Optimal Anchor Point and Local Priority

In order to solve the connectivity problem between multiple islands in the wireless sensor network (WSN) due to large-scale damage, a multirobot WSN island alliance method based on the local priority of the optimal anchor point is proposed. This method introduces the idea of priority restoration of local connectivity in weighted networks and uses the optimal anchor point election mechanism to construct connectivity paths. Compared with existing methods, LPRMA’s local preferential recovery thinking makes WSN island alliances more adaptable. And LPRMA’s trunk deployment strategy based on optimal anchor can significantly reduce the path length and the number of trunk deployments for connected recovery. Finally, through the comparison and simulation experiments with the existing methods, the results show that the proposed method can effectively improve the efficiency of WSN island alliance while satisfying the constraints of lower network delay and higher robustness.

Planning Restoration of Connectivity and Design of Corridors for Biodiversity Conservation

Habitats have been undergoing significant changes due to environmental processes and human impact that lead into habitat fragmentation and connectivity loss. To improve quality habitats and maintain ecological connectivity, elements that improve the connectivity of habitats need to be identified. To meet this goal, finding optimal pathways locations plays a key role for designing corridors for biodiversity conservation. Conducted in the Castilla y León region of Spain, this paper aims to determine optimal pathways and to enhance the connectivity of protected areas. To this end, three different scenarios were developed including the Natura 2000 network and their surroundings (Natura 2000, Level 0, and Level 1). We used Restoration Planner (RP) available in GuidosToolbox to analyze the network and detect pairwise optimum restoration pathways between the five largest network objects. Our results demonstrate that connector density varies across the region for each scenario. There was also a large variability in the length of connectors. Connectors were found mainly distributed around the center and northwestern part of Castilla y León. This paper also suggests that proposed new restoration pathways should increase in the study area. Thus, the findings can be used effectively for extensive planning and interpretation in biodiversity conservation.

Landscape functional connectivity for butterflies under different scenarios of land-use, land-cover, and climate change in Australia

Pollinating invertebrates are vital to terrestrial ecosystems but are impacted by anthropogenic habitat loss/fragmentation and climate change. Conserving and improving landscape connectivity is important to offset those threats, yet its assessment for invertebrates is lacking. In this study, we evaluated the functional connectivity between protected areas in Australia for 59 butterfly species (based on data availability), under present conditions and different future scenarios (for 2050 and 2090) of land use, land cover, and climate change. Using circuit-theory analysis, functional connectivity models are, on average, predicted to have a cumulative current (a proxy for species' movement) of 0.0191 and this is predicted to decrease to 0.0163 and 0.0162 under future scenarios 2050 and 2090 respectively. Cumulative current is predicted to decrease and increase for 30 and 20 species, respectively; while 9 species are predicted to both increase and decrease depending on the future scenario. These changes are generally predicted to occur along the edges of a species' current distribution. Our results are made available as spatial datasets to allow comparisons with taxa from other studies and can be used to identify priority areas for conservation in terms of establishing ecological corridors or stepping-stone habitat patches. Our study highlights the importance of considering pollinating invertebrates during the conservation and restoration of a landscape's functional connectivity, underscoring the need to expand and promote protected areas to facilitate functional connectivity under future scenarios of global change.

Country-wide genetic monitoring over 21 years reveals lag in genetic recovery despite spatial connectivity in an expanding carnivore (Eurasian otter, Lutra lutra) population.

Numerous terrestrial mammal species have experienced extensive population declines during past centuries, due largely to anthropogenic pressures. For some species, including the Eurasian otter (Lutra lutra), environmental and legal protection has more recently led to population growth and recolonization of parts of their historic ranges. While heralded as conservation success, only few such recoveries have been examined from a genetic perspective, i.e. whether genetic variability and connectivity have been restored. We here use large-scale and long-term genetic monitoring data from UK otters, whose population underwent a well-documented population decline between the 1950s and 1970s, to explore the dynamics of a population re-expansion over a 21-year period. We genotyped otters from across Wales and England at five time points between 1994 and 2014 using 15 microsatellite loci. We used this combination of long-term temporal and large-scale spatial sampling to evaluate 3 hypotheses relating to genetic recovery that (i) gene flow between subpopulations would increase over time, (ii) genetic diversity of previously isolated populations would increase and that (iii) genetic structuring would weaken over time. Although we found an increase in inter-regional gene flow and admixture levels among subpopulations, there was no significant temporal change in either heterozygosity or allelic richness. Genetic structuring among the main subpopulations hence remained strong and showed a clear historical continuity. These findings highlight an underappreciated aspect of population recovery of endangered species: that genetic recovery may often lag behind the processes of spatial and demographic recovery. In other words, the restoration of the physical connectivity of populations does not necessarily lead to genetic connectivity. Our findings emphasize the need for genetic data as an integral part of conservation monitoring, to enable the potential vulnerability of populations to be evaluated.

The effect of natural and engineered hydraulic conditions on river-floodplain connectivity using hydrodynamic modeling and particle tracking analysis

Hydraulic conditions and water resources management projects can significantly alter river-floodplain connectivity, which in turn can alter hydrologic and biogeochemical processes in river corridors. In this study, the hydrodynamics of river-floodplain connectivity under different flood conditions and the effect of the Nanchang Water Resources Project Group (NWRPG) in the middle branch of the Ganjang River were investigated using a combination of two-dimensional hydrodynamic simulations and particle tracking. The hydrodynamic model was calibrated and validated using data from several gauging stations and field measurements. Floods in the Ganjang River can be limited to the river itself (“River Flood”, flood with normal lake level) or further extended to the Poyang Lake (“Lake Flood”, flood with high lake level). The results show that compared with “River Flood” scenarios, “Lake Flood” scenarios increased the water level flooding a larger area. The flow velocity decreased and the residence time (RT) of particles increased. The particle travel distance (PTD) of “River Flood” was larger than that of “Lake Flood”. The larger the flood, the greater the transboundary flux between the river and the floodplain, and the shorter the RT and PTD. The effect of NWRPG was the permanent flooding of part of the river floodplain, causing some habitat loss. Due to the increase in discharge, the implementation of the NWRPG results in a shorter RT with a smaller standard deviation, which has little effect on the PTD distribution. These findings can facilitate river connectivity restoration efforts in the Ganjang River and also provide a reference for assessing the impact of barrage projects.