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qX)ÅqY}qZ(h"XC��The user requirements outlined in this document drove much of the process for
identification of the :doc:`DataONE Functional Use Cases<usecases>` described
elsewhere. The functional use cases were identified and prioritized over a
series of meetings funded by the NSF sponsored "Virtual Data Center" (VDC)
INTEROP_ project.h#h h$h%h&U paragraphq[h(}q\(h*]h+]h,]h-]h/]uh1Kh2hh ]q](h;Xd���The user requirements outlined in this document drove much of the process for
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ql)Åqm}qn(h"hdh(}qo(h*]h+]qp(Uxrefqqhgeh,]h-]h/]uh#hbh ]qrh;X ���DataONE Functional Use CasesqsÖÅqt}qu(h"U�h#hmubah&Uinlineqvubaubh;X°��� described
elsewhere. The functional use cases were identified and prioritized over a
series of meetings funded by the NSF sponsored "Virtual Data Center" (VDC)
qwÖÅqx}qy(h"X°��� described
elsewhere. The functional use cases were identified and prioritized over a
series of meetings funded by the NSF sponsored "Virtual Data Center" (VDC)
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qz)Åq{}q|(h"X���INTEROP_Uresolvedq}Kh#hYh&U referenceq~h(}q(UnameX���INTEROPUrefuriqÄX;���http://nsf.gov/awardsearch/showAward.do?AwardNumber=0753138qÅh-]h,]h*]h+]h/]uh ]qÇh;X���INTEROPqÉÖÅqÑ}qÖ(h"U�h#h{ubaubh;X ��� project.qÜÖÅqá}qà(h"X ��� project.h#hYubeubh )Åqâ}qä(h"U�h#h h$h%h&h'h(}qã(h*]h+]h,]h-]qåhah/]qçhauh1Kh2hh ]qé(h4)Åqè}qê(h"X$���US 01. Core Functionality (proposed)qëh#hâh$h%h&h8h(}qí(h*]h+]h,]h-]h/]uh1Kh2hh ]qìh;X$���US 01. Core Functionality (proposed)qîÖÅqï}qñ(h"hëh#hèubaubhX)Åqó}qò(h"Xñ��DataONE provides the distributed framework (which is comprised of Member and
Coordinating Nodes as illustrated below), sound management, and robust
technologies that enable long-term preservation of diverse multi-scale,
multi-discipline, and multi-national observational data. DataONE initially
emphasizes observational data collected by biological (genome to ecosystem)
and environmental (atmospheric, ecological, hydrological, and oceanographic)
scientists, research networks, and environmental observatories. DataONE will
be domain agnostic, progressively expanding to broader domains and building on
infrastructure and interoperability with DataNet partners.qôh#hâh$h%h&h[h(}qö(h*]h+]h,]h-]h/]uh1Kh2hh ]qõh;Xñ��DataONE provides the distributed framework (which is comprised of Member and
Coordinating Nodes as illustrated below), sound management, and robust
technologies that enable long-term preservation of diverse multi-scale,
multi-discipline, and multi-national observational data. DataONE initially
emphasizes observational data collected by biological (genome to ecosystem)
and environmental (atmospheric, ecological, hydrological, and oceanographic)
scientists, research networks, and environmental observatories. DataONE will
be domain agnostic, progressively expanding to broader domains and building on
infrastructure and interoperability with DataNet partners.qúÖÅqù}qû(h"hôh#hóubaubcdocutils.nodes
figure
qü)Åq†}q°(h"U�h#hâh$h%h&Ufigureq¢h(}q£(h*]h-]q§Uid1q•ah,]Uwidthq¶X���7inh+]h/]uh1K h2hh ]qß(cdocutils.nodes
image
q®)Åq©}q™(h"Xè��.. figure:: images/proposal_figure_1.png
:figwidth: 7in
DataONE Member Nodes form a robust, distributed network via coordinating
services provided by a set of Coordinating Nodes (i.e., Oak Ridge Campus,
UC-Santa Barbara, and University of New Mexico) arranged in a
high-availability configuration. Scientists and citizens interact with Member
Nodes (e.g., South African Environmental Observation Network, California
Digital Library, USGS National Biological Information Infrastructure) through
software tools that utilize standardized interfaces. This structure supports
many different usage scenarios, such as data and metadata management and
replication (e.g., using Morpho [black arrows] or the Mercury system [orange
arrows]), as well as analysis and modeling (e.g., using commercial software
like Matlab [light green arrows] and open-source scientific workflow systems
like Kepler [blue arrows]). Coordinating Nodes perform many basic indexing
and data replication services to ensure data availability and preservation
(e.g., node registration [purple arrow] and monitoring via heartbeat services
(red arrow]).
h#h†h$h%h&Uimageq´h(}q¨(UuriX#���design/images/proposal_figure_1.pngq≠h-]h,]h*]h+]U
candidatesqÆ}qØU*h≠sh/]uh1K h ]ubcdocutils.nodes
caption
q∞)Åq±}q≤(h"X#��DataONE Member Nodes form a robust, distributed network via coordinating
services provided by a set of Coordinating Nodes (i.e., Oak Ridge Campus,
UC-Santa Barbara, and University of New Mexico) arranged in a
high-availability configuration. Scientists and citizens interact with Member
Nodes (e.g., South African Environmental Observation Network, California
Digital Library, USGS National Biological Information Infrastructure) through
software tools that utilize standardized interfaces. This structure supports
many different usage scenarios, such as data and metadata management and
replication (e.g., using Morpho [black arrows] or the Mercury system [orange
arrows]), as well as analysis and modeling (e.g., using commercial software
like Matlab [light green arrows] and open-source scientific workflow systems
like Kepler [blue arrows]). Coordinating Nodes perform many basic indexing
and data replication services to ensure data availability and preservation
(e.g., node registration [purple arrow] and monitoring via heartbeat services
(red arrow]).q≥h#h†h$h%h&hOh(}q¥(h*]h+]h,]h-]h/]uh1K h ]qµh;X#��DataONE Member Nodes form a robust, distributed network via coordinating
services provided by a set of Coordinating Nodes (i.e., Oak Ridge Campus,
UC-Santa Barbara, and University of New Mexico) arranged in a
high-availability configuration. Scientists and citizens interact with Member
Nodes (e.g., South African Environmental Observation Network, California
Digital Library, USGS National Biological Information Infrastructure) through
software tools that utilize standardized interfaces. This structure supports
many different usage scenarios, such as data and metadata management and
replication (e.g., using Morpho [black arrows] or the Mercury system [orange
arrows]), as well as analysis and modeling (e.g., using commercial software
like Matlab [light green arrows] and open-source scientific workflow systems
like Kepler [blue arrows]). Coordinating Nodes perform many basic indexing
and data replication services to ensure data availability and preservation
(e.g., node registration [purple arrow] and monitoring via heartbeat services
(red arrow]).q∂ÖÅq∑}q∏(h"h≥h#h±ubaubeubeubh )Åqπ}q∫(h"U�h#h h$h%h&h'h(}qª(h*]h+]h,]h-]qºhah/]qΩhauh1K2h2hh ]qæ(h4)Åqø}q¿(h"X&���US 02. Value Added Services (proposed)q¡h#hπh$h%h&h8h(}q¬(h*]h+]h,]h-]h/]uh1K2h2hh ]q√h;X&���US 02. Value Added Services (proposed)qƒÖÅq≈}q∆(h"h¡h#høubaubhX)Åq«}q»(h"X‡��DataONE is not the end, but rather the means to enable scientists and citizens
to address and better understand the difficult and complex biological,
environmental, social, and technological challenges affecting human,
ecosystem, and planetary sustainability. The comprehensive
cyber-infrastructure allows novel questions to be asked that require
harnessing the enormity of existing data and developing new methods to combine
and analyze diverse data resources (see figure below).q…h#hπh$h%h&h[h(}q (h*]h+]h,]h-]h/]uh1K4h2hh ]qÀh;X‡��DataONE is not the end, but rather the means to enable scientists and citizens
to address and better understand the difficult and complex biological,
environmental, social, and technological challenges affecting human,
ecosystem, and planetary sustainability. The comprehensive
cyber-infrastructure allows novel questions to be asked that require
harnessing the enormity of existing data and developing new methods to combine
and analyze diverse data resources (see figure below).qÃÖÅqÕ}qŒ(h"h…h#h«ubaubhX)Åqœ}q–(h"X⁄��DataONE will accomplish its goals by making scientists, students, librarians,
and citizens active participants in the data life cycle, especially the data
preservation process. By supporting community derived interoperability
standards and incorporating new value-added and innovative technologies (e.g.,
for semantic and geospatial information, scientific workflows, and advanced
visualization) into the scientific process, DataONE will facilitate
sophisticated data integration, analysis, interpretation, and understanding. A
strong education and outreach program focuses on scientists and students
learning to better and more easily manage, preserve, analyze, and visualize
Earth observational data. Citizen scientists are actively engaged in data
preservation and scientific discovery through their involvement in programs
such as the USA National Phenology Network (USA-NPN) and numerous Cornell
Laboratory of Ornithology citizen science efforts (e.g., eBird, Project
FeederWatch).q—h#hπh$h%h&h[h(}q“(h*]h+]h,]h-]h/]uh1K<h2hh ]q”h;X⁄��DataONE will accomplish its goals by making scientists, students, librarians,
and citizens active participants in the data life cycle, especially the data
preservation process. By supporting community derived interoperability
standards and incorporating new value-added and innovative technologies (e.g.,
for semantic and geospatial information, scientific workflows, and advanced
visualization) into the scientific process, DataONE will facilitate
sophisticated data integration, analysis, interpretation, and understanding. A
strong education and outreach program focuses on scientists and students
learning to better and more easily manage, preserve, analyze, and visualize
Earth observational data. Citizen scientists are actively engaged in data
preservation and scientific discovery through their involvement in programs
such as the USA National Phenology Network (USA-NPN) and numerous Cornell
Laboratory of Ornithology citizen science efforts (e.g., eBird, Project
FeederWatch).q‘ÖÅq’}q÷(h"h—h#hœubaubhü)Åq◊}qÿ(h"U�h#hπh$h%h&h¢h(}qŸ(h*]h-]q⁄Uid2q€ah,]h¶X���100%h+]h/]uh1KNh2hh ]q‹(h®)Åq›}qfi(h"XÇ��.. figure:: images/proposal_figure_2.png
:figwidth: 100%
DataONE value-added services enable scientists to address novel
questions through integrating disparate data sources (top), supporting
geospatial data processing (lower left), and providing scientific workflow
solutions like Kepler (lower middle) and high-level analyses and
visualizations like IBM ManyEyes.
h#h◊h$h%h&h´h(}qfl(UuriX#���design/images/proposal_figure_2.pngq‡h-]h,]h*]h+]hÆ}q·U*h‡sh/]uh1KNh ]ubh∞)Åq‚}q„(h"X4��DataONE value-added services enable scientists to address novel
questions through integrating disparate data sources (top), supporting
geospatial data processing (lower left), and providing scientific workflow
solutions like Kepler (lower middle) and high-level analyses and
visualizations like IBM ManyEyes.q‰h#h◊h$h%h&hOh(}qÂ(h*]h+]h,]h-]h/]uh1KNh ]qÊh;X4��DataONE value-added services enable scientists to address novel
questions through integrating disparate data sources (top), supporting
geospatial data processing (lower left), and providing scientific workflow
solutions like Kepler (lower middle) and high-level analyses and
visualizations like IBM ManyEyes.qÁÖÅqË}qÈ(h"h‰h#h‚ubaubeubeubh )ÅqÍ}qÎ(h"U�h#h h$h%h&h'h(}qÏ(h*]h+]h,]h-]qÌhah/]qÓhauh1KVh2hh ]qÔ(h4)Åq}qÒ(h"X%���US 03. System Architecture (proposed)qÚh#hÍh$h%h&h8h(}qÛ(h*]h+]h,]h-]h/]uh1KVh2hh ]qÙh;X%���US 03. System Architecture (proposed)qıÖÅqˆ}q˜(h"hÚh#hubaubhX)Åq¯}q˘(h"Xò��The DataONE architecture must embrace the highly dispersed and independent
nature of data collection activities relevant to the environmental and earth
sciences. Data are collected by tens of thousands of scientists around the
world who have the expertise to describe and archive these data, as well as
curate them. Attempting to centralize this curation function is inherently
untenable and will not scale. Thus, DataONE will achieve both scalability and
sustainability through a highly distributed system architecture (Figures from
"Core Architecture" and below) that utilizes the **DataONE Service Interface**
to access uniform services provided and used by three types of
cyber-infrastructure: (1) **Member Nodes** located at institutions distributed
throughout academia, libraries, government agencies, and other organizations
that provide local data storage, curation, and metadata for a set of data
resources that are collected or affiliated with that institution; (2)
**Coordinating Nodes** that are geographically-distributed to provide a
high-availability, fault-tolerant, and scalable set of coordinating services
to the Member Nodes, including a complete metadata index and data replication
services for all data in all Member Nodes; and (3) an **Investigator Toolkit**
that provides a complete and evolving set of tools for data and metadata
management by scientists and curators throughout the entire data life cycle
(Figure 3). Initially, there will be three Coordinating Nodes geographically
dispersed at ORC, UNM, and UCSB. A small number of additional Coordinating
Nodes may be implemented as DataNetONE expands in scope, sustainable funding,
and international presence.h#hÍh$h%h&h[h(}q˙(h*]h+]h,]h-]h/]uh1KXh2hh ]q˚(h;XG��The DataONE architecture must embrace the highly dispersed and independent
nature of data collection activities relevant to the environmental and earth
sciences. Data are collected by tens of thousands of scientists around the
world who have the expertise to describe and archive these data, as well as
curate them. Attempting to centralize this curation function is inherently
untenable and will not scale. Thus, DataONE will achieve both scalability and
sustainability through a highly distributed system architecture (Figures from
"Core Architecture" and below) that utilizes the q¸ÖÅq˝}q˛(h"XG��The DataONE architecture must embrace the highly dispersed and independent
nature of data collection activities relevant to the environmental and earth
sciences. Data are collected by tens of thousands of scientists around the
world who have the expertise to describe and archive these data, as well as
curate them. Attempting to centralize this curation function is inherently
untenable and will not scale. Thus, DataONE will achieve both scalability and
sustainability through a highly distributed system architecture (Figures from
"Core Architecture" and below) that utilizes the h#h¯ubcdocutils.nodes
strong
qˇ)År���}r��(h"X ���**DataONE Service Interface**h(}r��(h*]h+]h,]h-]h/]uh#h¯h ]r��h;X���DataONE Service Interfacer��ÖÅr��}r��(h"U�h#j���ubah&Ustrongr��ubh;XZ���
to access uniform services provided and used by three types of
cyber-infrastructure: (1) r��ÖÅr ��}r
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cyber-infrastructure: (1) h#h¯ubhˇ)År ��}r ��(h"X���**Member Nodes**h(}r
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throughout academia, libraries, government agencies, and other organizations
that provide local data storage, curation, and metadata for a set of data
resources that are collected or affiliated with that institution; (2)
r��ÖÅr��}r��(h"X�� located at institutions distributed
throughout academia, libraries, government agencies, and other organizations
that provide local data storage, curation, and metadata for a set of data
resources that are collected or affiliated with that institution; (2)
h#h¯ubhˇ)År��}r��(h"X���**Coordinating Nodes**h(}r��(h*]h+]h,]h-]h/]uh#h¯h ]r��h;X���Coordinating Nodesr��ÖÅr��}r��(h"U�h#j��ubah&j��ubh;X�� that are geographically-distributed to provide a
high-availability, fault-tolerant, and scalable set of coordinating services
to the Member Nodes, including a complete metadata index and data replication
services for all data in all Member Nodes; and (3) an r ��ÖÅr ��}r ��(h"X�� that are geographically-distributed to provide a
high-availability, fault-tolerant, and scalable set of coordinating services
to the Member Nodes, including a complete metadata index and data replication
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that provides a complete and evolving set of tools for data and metadata
management by scientists and curators throughout the entire data life cycle
(Figure 3). Initially, there will be three Coordinating Nodes geographically
dispersed at ORC, UNM, and UCSB. A small number of additional Coordinating
Nodes may be implemented as DataNetONE expands in scope, sustainable funding,
and international presence.r&��ÖÅr'��}r(��(h"Xó��
that provides a complete and evolving set of tools for data and metadata
management by scientists and curators throughout the entire data life cycle
(Figure 3). Initially, there will be three Coordinating Nodes geographically
dispersed at ORC, UNM, and UCSB. A small number of additional Coordinating
Nodes may be implemented as DataNetONE expands in scope, sustainable funding,
and international presence.h#h¯ubeubhü)År)��}r*��(h"U�h#hÍh$h%h&h¢h(}r+��(h*]h-]r,��Uid3r-��ah,]h¶X���100%h+]h/]uh1Ksh2hh ]r.��(h®)År/��}r0��(h"X&��.. figure:: images/proposal_figure_4.png
:figwidth: 100%
Main features of the DataNetONE architecture, emphasizing
distributed data storage at Member Nodes and metadata indexing and services
provided by Coordinating Nodes. Communication between Member Nodes (e.g.,
for replication), between Member Nodes and the Investigator Toolkit (e.g.,
for inserting data), and between Member Nodes and Coordinating Nodes (e.g.,
for metadata indexing) is all mediated via a common DataNetONE Service
Interface that spans all node types.
h#j)��h$h%h&h´h(}r1��(UuriX#���design/images/proposal_figure_4.pngr2��h-]h,]h*]h+]hÆ}r3��U*j2��sh/]uh1Ksh ]ubh∞)År4��}r5��(h"X“��Main features of the DataNetONE architecture, emphasizing
distributed data storage at Member Nodes and metadata indexing and services
provided by Coordinating Nodes. Communication between Member Nodes (e.g.,
for replication), between Member Nodes and the Investigator Toolkit (e.g.,
for inserting data), and between Member Nodes and Coordinating Nodes (e.g.,
for metadata indexing) is all mediated via a common DataNetONE Service
Interface that spans all node types.r6��h#j)��h$h%h&hOh(}r7��(h*]h+]h,]h-]h/]uh1Ksh ]r8��h;X“��Main features of the DataNetONE architecture, emphasizing
distributed data storage at Member Nodes and metadata indexing and services
provided by Coordinating Nodes. Communication between Member Nodes (e.g.,
for replication), between Member Nodes and the Investigator Toolkit (e.g.,
for inserting data), and between Member Nodes and Coordinating Nodes (e.g.,
for metadata indexing) is all mediated via a common DataNetONE Service
Interface that spans all node types.r9��ÖÅr:��}r;��(h"j6��h#j4��ubaubeubeubh )År<��}r=��(h"U�h#h h$h%h&h'h(}r>��(h*]h+]h,]h-]r?��hah/]r@��h auh1K}h2hh ]rA��(h4)ÅrB��}rC��(h"X,���US 04. Spread and Impact of Invasive SpeciesrD��h#j<��h$h%h&h8h(}rE��(h*]h+]h,]h-]h/]uh1K}h2hh ]rF��h;X,���US 04. Spread and Impact of Invasive SpeciesrG��ÖÅrH��}rI��(h"jD��h#jB��ubaubhX)ÅrJ��}rK��(h"X���Invasive species are:rL��h#j<��h$h%h&h[h(}rM��(h*]h+]h,]h-]h/]uh1Kh2hh ]rN��h;X���Invasive species are:rO��ÖÅrP��}rQ��(h"jL��h#jJ��ubaubcdocutils.nodes
bullet_list
rR��)ÅrS��}rT��(h"U�h#j<��h$h%h&U bullet_listrU��h(}rV��(UbulletrW��X���-h-]h,]h*]h+]h/]uh1KÅh2hh ]rX��(cdocutils.nodes
list_item
rY��)ÅrZ��}r[��(h"X@���Expensive - response estimates up to $138bn per year in the US.
h#jS��h$h%h&U list_itemr\��h(}r]��(h*]h+]h,]h-]h/]uh1Nh2hh ]r^��hX)År_��}r`��(h"X?���Expensive - response estimates up to $138bn per year in the US.ra��h#jZ��h$h%h&h[h(}rb��(h*]h+]h,]h-]h/]uh1KÅh ]rc��h;X?���Expensive - response estimates up to $138bn per year in the US.rd��ÖÅre��}rf��(h"ja��h#j_��ubaubaubjY��)Årg��}rh��(h"XJ���Complex - many interactions and factors determine invasiveness and impact
h#jS��h$h%h&j\��h(}ri��(h*]h+]h,]h-]h/]uh1Nh2hh ]rj��hX)Årk��}rl��(h"XI���Complex - many interactions and factors determine invasiveness and impactrm��h#jg��h$h%h&h[h(}rn��(h*]h+]h,]h-]h/]uh1KÉh ]ro��h;XI���Complex - many interactions and factors determine invasiveness and impactrp��ÖÅrq��}rr��(h"jm��h#jk��ubaubaubjY��)Års��}rt��(h"Xù���Overwhelming - border and import controls struggle with sheer volume of
material and confusion for access and collation of relevant biodiversity
information
h#jS��h$h%h&j\��h(}ru��(h*]h+]h,]h-]h/]uh1Nh2hh ]rv��hX)Årw��}rx��(h"Xú���Overwhelming - border and import controls struggle with sheer volume of
material and confusion for access and collation of relevant biodiversity
informationry��h#js��h$h%h&h[h(}rz��(h*]h+]h,]h-]h/]uh1KÖh ]r{��h;Xú���Overwhelming - border and import controls struggle with sheer volume of
material and confusion for access and collation of relevant biodiversity
informationr|��ÖÅr}��}r~��(h"jy��h#jw��ubaubaubeubhX)År��}rÄ��(h"X¢���The outcome is suboptimal consideration of potential biotic risks associated
with imports of new products, packing, shipping methods or products from new
regions.rÅ��h#j<��h$h%h&h[h(}rÇ��(h*]h+]h,]h-]h/]uh1Kâh2hh ]rÉ��h;X¢���The outcome is suboptimal consideration of potential biotic risks associated
with imports of new products, packing, shipping methods or products from new
regions.rÑ��ÖÅrÖ��}rÜ��(h"jÅ��h#j��ubaubhX)Årá��}rà��(h"X¸���DataONE eliminates confusion related to information access and integration,
providing domain relevant knowledge to researchers, border agents and to inform
policy makers on potential impact or savings associated with new or ongoing
trade relationships.râ��h#j<��h$h%h&h[h(}rä��(h*]h+]h,]h-]h/]uh1Kçh2hh ]rã��h;X¸���DataONE eliminates confusion related to information access and integration,
providing domain relevant knowledge to researchers, border agents and to inform
policy makers on potential impact or savings associated with new or ongoing
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Some examples of economically important invasive species in the
United States.
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informationrÁ��ÖÅrË��}rÈ��(h"j‰��h#j‚��ubaubaubeubhü)ÅrÍ��}rÎ��(h"U�h#j<��h$h%h&h¢h(}rÏ��(h*]h-]rÌ��Uid5rÓ��ah,]h¶X���100%h+]h/]uh1K∞h2hh ]rÔ��(h®)År��}rÒ��(h"Xa��.. figure:: images/honeysuckle.jpg
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Japanese honeysuckle (`Lonicera japonica`_) was brought to the United
States from Asia as ground cover to prevent erosion. As an invasive
species, it can topple small trees and schrubs by its weight. The resulting
change in forest structure may negatively affect songbird populations.
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species, it can topple small trees and schrubs by its weight. The resulting
change in forest structure may negatively affect songbird populations.r˜��h#jÍ��h$h%h&hOh(}r¯��(h*]h+]h,]h-]h/]uh1K∞h ]r˘��(h;X���Japanese honeysuckle (r˙��ÖÅr˚��}r¸��(h"X���Japanese honeysuckle (h#jı��ubhz)År˝��}r˛��(h"X���`Lonicera japonica`_h}Kh#jı��h&h~h(}rˇ��(UnameX���Lonicera japonicahÄXP��http://prototype.dataone.org/pilotcatalog/send/query?term1=Lonicera+japonica&term1attribute=fullText&op1=&term2=&term2attribute=fullText&op2=&term3=&term3attribute=overlaps&op3=&op4=during&term4=&term4attribute=beginDate&term5=&term5attribute=endDate&op5=&term6=All&term6=&term6=&term6=&term6=&term6=&term6attribute=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10=&term10attribute=lterSite&term7=&term7attribute=placeKey&term8=collection&term9=All&term9attribute=presentationCat&pageSize=10&queryString=+Entire+Document+%3A+Lonicera+japonica++and++Format%3A+All+and++from+sources%3A+All&instance=nbiir���h-]h,]h*]h+]h/]uh ]r��h;X���Lonicera japonicar��ÖÅr��}r��(h"U�h#j˝��ubaubh;XÚ���) was brought to the United
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change in forest structure may negatively affect songbird populations.r��ÖÅr��}r��(h"XÚ���) was brought to the United
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