scholarly journals The legacy of past human land use in current patterns of mammal distribution

Ecography ◽  
2019 ◽  
Vol 42 (10) ◽  
pp. 1623-1635 ◽  
Author(s):  
Ester Polaina ◽  
Manuela González‐Suárez ◽  
Eloy Revilla
Keyword(s):  
Land Use ◽  
Human Land Use ◽  
Mammal Distribution

scholarly journals Soil carbon debt of 12,000 years of human land use

2017 ◽  
Vol 114 (36) ◽  
pp. 9575-9580 ◽  
Author(s):  
Jonathan Sanderman ◽  
Tomislav Hengl ◽  
Gregory J. Fiske
Keyword(s):  
Land Use ◽  
Carbon Balance ◽  
Mitigation Strategy ◽  
Global Environment ◽  
Climate Mitigation ◽  
Grazing Land ◽  
The Past ◽  
Human Land Use ◽  
History Database ◽  
Global Carbon

Human appropriation of land for agriculture has greatly altered the terrestrial carbon balance, creating a large but uncertain carbon debt in soils. Estimating the size and spatial distribution of soil organic carbon (SOC) loss due to land use and land cover change has been difficult but is a critical step in understanding whether SOC sequestration can be an effective climate mitigation strategy. In this study, a machine learning-based model was fitted using a global compilation of SOC data and the History Database of the Global Environment (HYDE) land use data in combination with climatic, landform and lithology covariates. Model results compared favorably with a global compilation of paired plot studies. Projection of this model onto a world without agriculture indicated a global carbon debt due to agriculture of 133 Pg C for the top 2 m of soil, with the rate of loss increasing dramatically in the past 200 years. The HYDE classes “grazing” and “cropland” contributed nearly equally to the loss of SOC. There were higher percent SOC losses on cropland but since more than twice as much land is grazed, slightly higher total losses were found from grazing land. Important spatial patterns of SOC loss were found: Hotspots of SOC loss coincided with some major cropping regions as well as semiarid grazing regions, while other major agricultural zones showed small losses and even net gains in SOC. This analysis has demonstrated that there are identifiable regions which can be targeted for SOC restoration efforts.

Advances in Understanding Landscape Influences on Freshwater Habitats and Biological Assemblages

2019 ◽  
Keyword(s):  
United States ◽  
Land Use ◽  
Land Cover ◽  
Biological Properties ◽  
Western United States ◽  
Stream Ecosystems ◽  
Human Land Use ◽  
Natural Land ◽  
Stream Biota ◽  
Land Use And Cover

<i>Abstract.</i>—Surrounding land use and cover can have profound effects on the physical, chemical, and biological properties of stream ecosystems. For this reason, changes in land use and cover throughout catchments often have strong effects on stream ecosystems that are particularly interesting to researchers. Additionally, natural physical and climatic, or physiographic, characteristics are important for determining natural land cover and constraining human land use and are also strongly related to stream habitat and biota. Because the physiographic template differs among catchments and is an important mediator of catchment processes, it is important to account for natural physiographic differences among catchments to understand the relationship between land use/cover and stream biota. In this paper, we develop and assess the usefulness of a regional framework, land use/cover distinguished physiographic regions (LDPRs), which is designed for understanding relationships between land use/cover and stream biota while accounting for the physiographic template. We classified hydrologic units into LDPRs based on physiographic predictors of land use and cover for the eastern and western United States through the use of multivariate regression tree analysis. Next, we used case study data to assess the usefulness of LDPRs by determining if the relationships between fish assemblage function and land use/cover varied among classes using hierarchical logistic regression models. Eight physiographic characteristics determined land cover patterns for both the eastern and western United States and were used to classify hydrologic units into LDPR classes. Five commonly used biotic metrics describing trophic, reproductive, and taxonomic groupings of fish species responded in varying ways to agriculture and urban land use across LDPRs in the upper Mississippi River basin. Our findings suggest that physiographic differences among hydrologic units result in different pathways by which land use and cover affects stream fish assemblages and that LDPRs are useful for stratifying hydrologic units to investigate those different processes. Unlike other commonly used regional frameworks, the rationale and methods used to develop LDPRs properly account for the often-confounded relationship between physiography and land use/cover when relating land cover to stream biota. Therefore, we recommend the use and refinement of LDPRs or similarly developed regional frameworks so that the varying processes by which human land use results in stream degradation can be better understood.

Environmental change and human land‐use over the past 200 years in the Great Hinggan Mountains, Northeastern China

2020 ◽  
Author(s):  
Lydia L. Mackenzie ◽  
Kunshan Bao ◽  
Steve Pratte ◽  
Anna‐Marie Klamt ◽  
Rongqin Liu ◽  
...  
Keyword(s):  
Land Use ◽  
Environmental Change ◽  
Northeastern China ◽  
The Past ◽  
Human Land Use

Sedimentary Carbon and Nitrogen Dynamics Reveal Impact of Human Land-Use Change on Kawainui Marsh, O‘ahu, Hawai‘i

2017 ◽  
Vol 71 (1) ◽  
pp. 17-27
Author(s):  
Brittany Anderson ◽  
Li Zhang ◽  
Huining Wang ◽  
Tianyi Lu ◽  
F. David Horgen ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Nitrogen Dynamics ◽  
Carbon And Nitrogen ◽  
Human Land Use ◽  
Carbon And Nitrogen Dynamics ◽  
Sedimentary Carbon

scholarly journals Environmental Differences between Migratory and Resident Ungulates—Predicting Movement Strategies in Rocky Mountain Mule Deer (Odocoileus hemionus) with Remotely Sensed Plant Phenology, Snow, and Land Cover

2019 ◽  
Vol 11 (17) ◽  
pp. 1980
Author(s):  
Benjamin Robb ◽  
Qiongyu Huang ◽  
Joseph Sexton ◽  
David Stoner ◽  
Peter Leimgruber
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Snow Cover ◽  
Large Scale ◽  
Mule Deer ◽  
Life History Strategy ◽  
Odocoileus Hemionus ◽  
Remotely Sensed ◽  
Land Use Impacts ◽  
Human Land Use

Migration is a valuable life history strategy for many species because it enables individuals to exploit spatially and temporally variable resources. Globally, the prevalence of species’ migratory behavior is decreasing as individuals forgo migration to remain resident year-round, an effect hypothesized to result from anthropogenic changes to landscape dynamics. Efforts to conserve and restore migrations require an understanding of the ecological characteristics driving the behavioral tradeoff between migration and residence. We identified migratory and resident behaviors of 42 mule deer (Odocoileus hemionus) based on GPS locations and correlated their locations to remotely sensed indicators of forage quality, land cover, snow cover, and human land use. The model classified mule deer seasonal migratory and resident niches with an overall accuracy of 97.8% and cross-validated accuracy of 81.2%. The distance to development was the most important variable in discriminating in which environments these behaviors occur, with resident niche space most often closer to developed areas than migratory niches. Additionally, snow cover in December was important for discriminating summer migratory niches. This approach demonstrates the utility of niche analysis based on remotely sensed environmental datasets and provides empirical evidence of human land use impacts on large-scale wildlife migrations.

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