scholarly journals Fish presence and inter-patch connectivity interactively alter the size of emergent insects in experimental enclosures

Ecosphere ◽  
2018 ◽  
Vol 9 (3) ◽  
pp. e02118 ◽  
Author(s):  
Kristopher A. Pitcher ◽  
Daniel A. Soluk
Keyword(s):  
Patch Connectivity ◽  
Emergent Insects

scholarly journals Taxonomic composition and lake bathymetry influence fatty acid export via emergent insects

2021 ◽  
Author(s):  
Margaux Mathieu‐Resuge ◽  
Dominik Martin‐Creuzburg ◽  
Cornelia W. Twining ◽  
Tarn Preet Parmar ◽  
Hannes H. Hager ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Taxonomic Composition ◽  
Emergent Insects

Landscape Pattern Analysis of Land Use in Low Mount Hilly Land of Harbin Eastern Suburb

2014 ◽  
Vol 641-642 ◽  
pp. 514-518
Author(s):  
Hai Hong Song ◽  
Yun Feng Tan
Keyword(s):  
Land Use ◽  
Landscape Pattern ◽  
Human Activities ◽  
Pattern Analysis ◽  
Landscape Index ◽  
Patch Type ◽  
Landscape Pattern Analysis ◽  
Patch Shape ◽  
Patch Connectivity ◽  
Landscape Patch

This article analyzes the general characteristics and its causes of the landscape pattern of land use, taking the Tuanjie town of DaoWai district in Harbin as an example. Using GIS and Fragstats software to calculate a series of landscape index, the data show that Tuanjie town is given priority to with agriculture landscape, and the landscape patch connectivity is stronger; the overall landscape patch shape is complex, showing the human activities interfere significantly; and each patch type concentration and fragmentation is quite different. Therefore, based on the use of their own advantages, put forward reasonable suggestions to the landscape optimization of Tuanjie town land use.

scholarly journals Three points of consideration before testing the effect of patch connectivity on local species richness: patch delineation, scaling and variability of metrics

2019 ◽  
Author(s):  
Fabien Laroche ◽  
Manon Balbi ◽  
Théophile Grébert ◽  
Franck Jabot ◽  
Frédéric Archaux
Keyword(s):  
Species Richness ◽  
Empirical Studies ◽  
Structural Connectivity ◽  
Dispersal Limitation ◽  
Dispersal Distance ◽  
Habitat Amount ◽  
Local Species Richness ◽  
Theory Of Island Biogeography ◽  
Local Species ◽  
Patch Connectivity

AbstractThe Theory of Island Biogeography (TIB) promoted the idea that species richness within sites depends on site connectivity, i.e. its connection with surrounding potential sources of immigrants. TIB has been extended to a wide array of fragmented ecosystems, beyond archipelagoes, surfing on the analogy between habitat patches and islands and on the patch-matrix framework. However, patch connectivity often little contributes to explaining species richness in empirical studies. Before interpreting this trend as questioning the broad applicability of TIB principles, one first needs a clear identification of methods and contexts where strong effects of patch structural connectivity are likely to occur. Here, we use spatially explicit simulations of neutral metacommunities to show that patch connectivity effect on local species richness is maximized under a set of specific conditions: (i) patch delineation should be fine enough to ensure that no dispersal limitation occurs within patches, (ii) patch connectivity indices should be scaled according to target organisms’ dispersal distance and (iii) the habitat amount around sampled sites (within a distance adapted to organisms’ dispersal) should be highly variable. When those three criteria are met, the absence of an effect of connectivity on species richness should be interpreted as contradicting TIB hypotheses

scholarly journals Landscape structure and the genetic effects of a population collapse

2014 ◽  
Vol 281 (1796) ◽  
pp. 20141798 ◽  
Author(s):  
Serena A. Caplins ◽  
Kimberly J. Gilbert ◽  
Claudia Ciotir ◽  
Jens Roland ◽  
Stephen F. Matter ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Size ◽  
Landscape Structure ◽  
Isolation By Distance ◽  
Spatial Genetic Structure ◽  
Genetic Differentiation Of Populations ◽  
Patch Connectivity ◽  
Landscape Genetic ◽  
Independent Effects ◽  
Patterns And Processes

Both landscape structure and population size fluctuations influence population genetics. While independent effects of these factors on genetic patterns and processes are well studied, a key challenge is to understand their interaction, as populations are simultaneously exposed to habitat fragmentation and climatic changes that increase variability in population size. In a population network of an alpine butterfly, abundance declined 60–100% in 2003 because of low over-winter survival. Across the network, mean microsatellite genetic diversity did not change. However, patch connectivity and local severity of the collapse interacted to determine allelic richness change within populations, indicating that patch connectivity can mediate genetic response to a demographic collapse. The collapse strongly affected spatial genetic structure, leading to a breakdown of isolation-by-distance and loss of landscape genetic pattern. Our study reveals important interactions between landscape structure and temporal demographic variability on the genetic diversity and genetic differentiation of populations. Projected future changes to both landscape and climate may lead to loss of genetic variability from the studied populations, and selection acting on adaptive variation will likely occur within the context of an increasing influence of genetic drift.

Measuring landscape connectivity: On the importance of within-patch connectivity

2019 ◽  
Vol 34 (10) ◽  
pp. 2261-2278 ◽  
Author(s):  
Ariel G. Spanowicz ◽  
Jochen A. G. Jaeger
Keyword(s):  
Landscape Connectivity ◽  
Patch Connectivity

RULE-BASED ASSESSMENT OF SUITABLE HABITAT AND PATCH CONNECTIVITY FOR THE EURASIAN LYNX

2002 ◽  
Vol 12 (5) ◽  
pp. 1469-1483 ◽  
Author(s):  
Stephanie Schadt ◽  
Felix Knauer ◽  
Petra Kaczensky ◽  
Eloy Revilla ◽  
Thorsten Wiegand ◽  
...  
Keyword(s):  
Suitable Habitat ◽  
Eurasian Lynx ◽  
Rule Based ◽  
Patch Connectivity

Generalizing matrix structure affects the identification of least-cost paths and patch connectivity

2017 ◽  
Vol 11 (1) ◽  
pp. 95-109 ◽  
Author(s):  
Shantel J. Koenig ◽  
Darren J. Bender
Keyword(s):  
Matrix Structure ◽  
Patch Connectivity ◽  
Cost Paths ◽  
Least Cost Paths

scholarly journals Temporal variation of patch connectivity determines biodiversity recovery from recurrent disturbances

2022 ◽  
Author(s):  
Claire Jacquet ◽  
François Munoz ◽  
Núria Bonada ◽  
Thibault Datry ◽  
Jani Heino ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Scale Effects ◽  
Landscape Connectivity ◽  
General Rule ◽  
River Network ◽  
Community Recovery ◽  
Multi Scale ◽  
Recovery Capacity ◽  
Dynamic Landscapes ◽  
Patch Connectivity

Understanding the capacity of ecological systems to withstand and recover from disturbances is a major challenge for ecological research in the context of environmental change. Disturbances have multi-scale effects: they can cause species extinctions locally and alter connectivity between habitat patches at the metacommunity level. Yet, our understanding of how disturbances influence landscape connectivity remains limited. To fill this gap, we develop a novel connectivity index that integrates the temporal variation of patch connectivity induced by disturbances, which can be applied to any spatially-structured habitat. We then combine this index with a metacommunity model to specifically investigate biodiversity recovery from drying events in river network metacommunities. We demonstrate that patch connectivity explains variations of species richness between groups of organisms with contrasting dispersal modes and captures the effect of drying intensity (i.e., fraction of patches that dry-up) and drying location on community recovery. As a general rule, loss of patch connectivity decreases community recovery, regardless of patch location in the river network, dispersal mode, or drying intensity. Local communities of flying organisms maintained higher patch connectivity in drying river networks compared to organisms with strictly aquatic dispersal, which explained the higher recovery capacity of this group from drying events. The general relationship between patch connectivity and community recovery we found can be applied to any spatial network subject to temporal variation of connectivity, thus providing a powerful tool for biodiversity management in dynamic landscapes.

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